# SpliceOps by Splice Labs: core site (company, services, booking, FAQ) Source: https://spliceops.lrgfrmt.com. Built 2026-11-02. Prototype: details the Splice Labs founders have not confirmed yet are left out. Splice builds AI into the work you already do. Agents run it. Your team makes the calls that matter. # SpliceOps | Become AI-Native, One Workflow at a Time URL: https://spliceops.lrgfrmt.com/ > A forward-deployed team that puts AI to work on your critical workflows, in your systems, with an accountable person behind every decision that matters. # Your CEO said "become an AI company." We make it real. We turn what your experts know and how your company already works into workflows run by people and AI, inside the systems you already use. **Book a working session** → /book Start with one real workflow. Leave with something working. ## You bought the AI. The work didn't change. - Everyone has Copilot or ChatGPT. The workflows still run the way they always have. - You ran pilots. None of them reached production. - What your best people know still lives in their heads, and they're still the bottleneck. That's the gap between using AI and running on AI. ## Two steps to AI-native, starting where you are Becoming AI-native is the goal. Step 1 proves it on one critical workflow. Step 2 makes it how the company runs. Both steps build on your company's brain: the knowledge, policies and context your people and agents use to do the work. | | AI-absent → AI-enabled | AI-enabled → AI-native | | --- | --- | --- | | Today | You've bought the tools; the work hasn't changed | Your people use AI every day, but it waits to be asked | | What we build | Your company's brain, a governed workspace, and your first agent-run workflow | Agent-run workflows across the business, escalating to your people by your policies | | The milestone | One critical workflow runs this way | This is how your company operates | [Step 1: AI-absent → AI-enabled](https://spliceops.lrgfrmt.com/services/ai-enabled) · [Step 2: AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native) · Need AI leadership first? [Fractional leadership](https://spliceops.lrgfrmt.com/services/fractional) ## Don't start with a transformation program. Start with one workflow. Spend one focused day with us on a workflow that matters. You leave with: - A working prototype of that workflow - Where AI belongs in it, and what to build, buy or partner on - Who stays accountable for each decision - What to do next, and where you are on the path **Book a working session** → /book Credited in full against your engagement. ## We change how the work runs, not who owns it **Your systems stay.** Splice, don't replace: we build into the tools and workflows your company already runs. We build it so your team can own it, and run it with you for as long as that's useful. **Your people stay accountable.** Agents act within the authority you give them. An accountable person stands behind every decision that matters. **You stay in control.** Spend caps and a kill switch on every agent. A full record of what each one did. Bring your own agents, or run it all yourself. Delivered on Station, the system we use to run our own company. [How it works](https://spliceops.lrgfrmt.com/how-it-works) ## We don't sell what we haven't run | | What's running | Status | | --- | --- | --- | | **Splice itself** | Software delivery, company brain, and agents that research and qualify our prospects | Live | | **An influencer marketing and talent management agency** | Agents handle editorial, creative and contract reviews, including MSAs and SOWs | Live | | **A specialty chemicals manufacturer** | A company brain that captures product expertise, matches products to use cases, and refuses claims the company can't support | In progress | The agency's owner is a Splice founder. [See our work](https://spliceops.lrgfrmt.com/work) Built by Tim Varner, Jake Krogman and a wider team from global banks, developer platforms and production AI. [Meet the team](https://spliceops.lrgfrmt.com/team) ## Put AI to work. Keep people accountable. Bring the directive you were handed. We'll turn it into a working prototype and a clear next step. **Book a working session** → /book --- *Footer routes:* Services · Who it's for ([CEOs and boards](https://spliceops.lrgfrmt.com/for/ceos-and-boards), [technology leaders](https://spliceops.lrgfrmt.com/for/technology-leaders), [founders](https://spliceops.lrgfrmt.com/for/founders), [investors](https://spliceops.lrgfrmt.com/for/investors), [accelerators](https://spliceops.lrgfrmt.com/for/accelerators)) · Industries ([manufacturing](https://spliceops.lrgfrmt.com/industries/manufacturing), [agencies](https://spliceops.lrgfrmt.com/industries/agencies)) · How it works · Work · Team · [FAQ: cost, data, lock-in and accountability](https://spliceops.lrgfrmt.com/faq) --- # AI Enablement Services That Change the Work | SpliceOps URL: https://spliceops.lrgfrmt.com/services/ai-enabled/ > Your team has the AI tools, but the work hasn't changed. We build one shared brain your people use daily, and get your first workflow run by agents. # You have AI tools, or a mandate to get them. The work hasn't changed yet. This is step 1, from AI-absent to AI-enabled. We set up a governed AI workspace early and build your company's shared brain, starting with what your experts know. Along the way, your people start using agents in their real work. The step ends when your first critical workflow is started and run by agents. Step 1 proves the pattern on one workflow; step 2 makes it how your company runs. **Book a working session** → /book Credited in full against your engagement. ## You're here if you've bought the licenses and nothing changed - "We rolled out Copilot and ChatGPT. Nothing about how the work gets done changed." - "We ran pilots. None reached production." - "The CEO said we're becoming an AI company. Nobody has defined what that means, or what we're allowed to automate." - "What our best people know lives in one or two heads, and getting it wrong has real consequences." That's AI-absent: you may have the tools, but the work runs the way it always has. ## What we build with you AI-enabled means everything your company knows feeds one shared brain your people use every day, and your first critical workflow is started and run by agents. We're forward-deployed, so we build it with your people, inside the systems you already run. - **A governed AI workspace, early.** Your people and agents work there, with spend caps, a kill switch and every action logged. - A prompt library and a skills library, checked against your policies. Each addition gets announced, so good work spreads. - **Your company's brain**, fed by your data and by what your experts know, so that knowledge reaches everyone who needs it. See [how we're doing this for a manufacturer](https://spliceops.lrgfrmt.com/industries/manufacturing). - Agents across your teams, custom or off-the-shelf, whichever fits. Bring your own agents or use ours. - Short training in plain language: what a prompt is, what a skill is, and how to write both. People get fluent by using it on their own work. ## Step 1 ends when your first critical workflow runs on agents A critical workflow recurs and matters to the business, and someone still starts it by hand. A one-off prompt or a demo doesn't count. We choose it with you. Some examples: | Function | Agents start and run | A person decides at | | --- | --- | --- | | Sales | A new inbound lead comes in: agents research and enrich it, draft a reply and book the meeting | Outreach to strategic accounts | | Support | A ticket comes in: agents triage it, resolve it from the brain if it's tier-1, or draft the reply | Refunds or credits above a set amount | | Finance | An invoice arrives: agents match it to its purchase order and flag any exception | Payments and write-offs | | People ops | A new hire is added to the HR system: agents set up accounts, training and a schedule | Access to sensitive systems | | Reporting | Every Monday, agents pull the numbers, draft the report and post it | Anything going outside the company | Before anything runs, we agree who is accountable and what each agent may approve. ## Value that grows faster than your AI bill Any vendor can raise your usage. We design for faster execution and lower operating cost on the work that matters, so the value grows faster than your AI bill. ## What you keep We build it so you can own it, and we operate it for as long as that's useful. Your team learns to run the brain and the libraries. We can keep running them for you as a managed service, or you can self-host. ## Who this isn't for - Companies that want to buy tools without changing how they work. - Companies without an executive sponsor for the change. ## Where we've done this We run Splice this way ourselves, on Station. Our software factory, our company brain, and the agents that research and qualify our prospects are all live. ### Client · A specialty chemicals manufacturer **In progress.** Its product expertise lived with one or two people. We're capturing it in a brain that matches the right product to each use case and refuses claims the company can't make. [See our work](https://spliceops.lrgfrmt.com/work) ## Questions before step 1 ### Why not do this in-house? You can, and we'll leave your team able to. We make the path shorter because we've done this before and we bring the governance infrastructure. The same team stays with you from the first session to production. ### Why not a consultancy? A consultancy bills weeks of analysis and leaves you a deck. You get something usable in the first working session, and that session is credited in full against your engagement. ### How fast will we see something? You get something usable from the first session. Once we've seen your workflow there, we tell you how long it will take to reach production. ### What does it cost? Talk to us. We scope the work with you during the working session, which is credited in full against your engagement. ## Pick your first workflow with us In one focused day we look at how your work runs and choose one real workflow together. You leave with a working prototype, your place on the path, and who is accountable for each decision. **Book a working session** → /book Credited in full against your engagement. Already AI-enabled? See [AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native). --- # From AI-Enabled to AI-Native: Agents as Coworkers URL: https://spliceops.lrgfrmt.com/services/ai-native/ > Your first workflow runs on agents; the rest still waits to be asked. We make agent-run work how you operate, with people at the gates that matter. # Your first workflow runs on agents. Now make it how your company runs. This is step 2, from AI-enabled to AI-native. We rebuild your critical workflows so your company's brain drives the work. Agents become coworkers: they do much of the work and escalate to your people based on your policies, and there's an accountable person behind every decision that matters. **Book a working session** → /book Credited in full against your engagement. ## You're here if most work still waits to be asked Your company's knowledge feeds a shared brain your people use every day, and at least one critical workflow already runs on agents. Everywhere else, work still starts with someone opening a chat and typing a prompt. There, the brain answers questions and never starts anything. The working session confirms where you are. If this is you, you skip step 1. ## What changes when the brain drives the work | | AI-enabled | AI-native | | --- | --- | --- | | Who starts the work | A person, with a prompt | Agents, on triggers, schedules and loops | | The brain's role | Something people consult | The engine that drives the work | | Your people | Do the work, with AI helping | Make the calls that need a person, and set what agents may approve | | How it's counted | Daily AI use | Critical workflows run by agents, one by one | ## What we do in step 2 - **Rebuild your workflows around the brain.** We redesign the work for people and agents together, rather than bolting automation onto the old process. - Agents pick up work from triggers, schedules and loops, with no prompt needed. They work as coworkers, doing much of the work and escalating to your people based on your policies. - **Approval points you set.** Your people decide where it matters, and set what agents may approve everywhere else. - Spend caps, a kill switch and every action logged, on every workflow. Step 1 got one workflow running on its own. Step 2 does the same for the workflows your business depends on. ## People stay accountable at the gates that matter Some approvals belong with a person. Others can go to an agent that an accountable person has permissioned. Before anything runs, we agree which is which and who is accountable for each decision. We also say plainly what the AI controls and what it only observes. ## Building AI-native products too? Some companies need their products to be AI-native as well, so customers' own AI agents can use them directly. We're doing this now with a design partner, a direct-to-consumer health company, making the company AI-native and its products agent-ready at the same time. If product is where the pressure is, a [fractional CPTO or CTO](https://spliceops.lrgfrmt.com/services/fractional) can own it. ## After the engagement Capability should compound. We build it so you can own it, and we operate it for as long as that's useful. Your team learns to manage what we installed and can keep improving it. By default we run the system and your brain as a managed service; if you'd rather run it yourself, self-hosted is available. Managed by default, portable by design: you're never locked in. ## Who this isn't for - Companies that don't yet run a critical workflow on agents. They start at [step 1](https://spliceops.lrgfrmt.com/services/ai-enabled). - Companies that want agents acting with no person accountable. ## We run our own company this way Station runs Splice every day, including our software factory, our company brain, and agents that research and qualify our prospects. [See our work](https://spliceops.lrgfrmt.com/work) ## Questions before step 2 ### Who's accountable when the AI gets it wrong? A person on your side. There's an accountable person behind every decision that matters, and agents can handle some approvals that person has permissioned. Before anything runs, we agree who is accountable and what each agent may approve. ### Won't this just raise our AI bill? It shouldn't. Any vendor can raise your usage. We design for value that grows faster than your AI bill. ### Can we use our own agents? Yes. No vendor lock-in: bring your own agents or use ours, and swap them whenever you want. ### What does it cost? Talk to us. We scope the work with you during the working session, which is credited in full against your engagement. ## Pick the workflow that runs your business We spend one focused day confirming where you are and choosing a critical workflow with you. By the end there's a working prototype of it, run by agents, and a clear call on what to do next. **Book a working session** → /book Credited in full against your engagement. --- # AI Enablement and AI-Native Services | SpliceOps URL: https://spliceops.lrgfrmt.com/services/ > Two steps: AI-absent to AI-enabled, then AI-enabled to AI-native. Or a fractional Chief AI Officer. Start where you are; a working session places you. # Start where your company is today Becoming AI-native is the goal. We get you there in two steps, each ending in a milestone you can see. Step 1 proves it on one critical workflow. Step 2 makes it how your company runs. If you're not sure which step fits, the working session places you. ## Three stages, in plain words - **AI-absent:** tools, maybe, but nothing about how the work gets done has changed. - **AI-enabled:** your people work from one shared brain, and your first critical workflow is started and run by agents. - **AI-native:** that brain drives the work, and agent-run workflows are how the company operates. ## Pick the step that fits | | [AI-absent → AI-enabled](https://spliceops.lrgfrmt.com/services/ai-enabled) | [AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native) | | --- | --- | --- | | You're here if | You have the tools, maybe even daily users, but the work hasn't changed | Your first critical workflow runs on agents, but most work still waits to be asked | | We build | Your company's brain, a governed workspace, and your first agent-run workflow | Critical workflows rebuilt so the brain drives the work, with agents as coworkers that escalate by your policies | | It ends when | Your first critical workflow is started and run by agents | The workflows that run your business, started and run by agents | | Not for | Companies that want to buy tools without changing how they work; companies without an executive sponsor | Companies that don't yet run a critical workflow on agents; companies that want agents acting with no person accountable | Both steps keep an accountable person behind every decision that matters, and both work inside the systems you already run. **Book a working session** → /book Credited in full against your engagement. ## Need an AI executive first? Some companies need AI leadership before or beside an engagement. A fractional Chief AI Officer owns the company side of becoming AI-native, a fractional CPTO or CTO owns the product side, and advisory gives your team a second view on AI decisions. [Fractional leadership](https://spliceops.lrgfrmt.com/services/fractional) ## Built on what we use ourselves Splice runs on Station every day, including our software factory, our company brain, and the agents that research and qualify our prospects. [See our work](https://spliceops.lrgfrmt.com/work) See [how it works](https://spliceops.lrgfrmt.com/how-it-works), or read [common questions](https://spliceops.lrgfrmt.com/faq). ## What it costs Talk to us. We scope it with you in the working session, which is credited in full against your engagement. **Book a working session** → /book Credited in full against your engagement. --- # Book an AI Working Session | SpliceOps URL: https://spliceops.lrgfrmt.com/book/ > One focused day on one of your real workflows. Leave with a working prototype and a decision, not a deck. Credited in full against your engagement. # Book a working session We look at how your work runs, pick one real workflow with you and build a working version of it. Leave with a decision, not a deck. **The session has its own fee, agreed with you before you book. It's credited in full against your engagement if you go ahead.** ## What you walk away with - **A working prototype** on one of your real workflows. - **The workflow, mapped:** how it runs today, and where people and agents fit. - **Where you are on the path:** AI-absent, AI-enabled or AI-native, and your first steps from there. - **A build, buy or partner call** for each part of that workflow. - **Who is accountable** for each decision that matters, including what agents may approve. - **Our advice** on where to go next. ## One focused day The session takes one day, or the same eight working hours spread out if that suits your team. ### Who should be in the room - **Whoever issued the AI directive:** the CEO, a board member, or you, the founder. We spend the first hours with them. - **Whoever owns making it real:** often the COO, head of operations, CTO or CIO. - The experts who do the work today, whose knowledge the workflow depends on. At a small company, that can be one person. The session is the same shape for a solo founder as for a large team: we pick one workflow of yours, for example inbound lead to booked meeting, and you leave with a working prototype and a map of what to automate next. ### Booking for a portfolio or a program? Choose that on the form and tell us a little about it. We'll show you what a session looks like for one of your companies. ## What it costs There are two separate prices here, and they're settled at different times. - **The session fee** covers the working session. We agree it with you, along with the terms, before anything is booked. - **The engagement** is the work after the session, if you go ahead. We scope and price it with you during the session, once we've seen the workflow. The session fee is credited in full against it. ## Before you book ### What does it cost? Talk to us. We scope the work with you during the working session, which is credited in full against your engagement. ### Is our data safe? Your data stays in the systems you already use. We work inside them, with only the access you give us, under NDA. ## Who you'll work with You'll work with Tim Varner, Jake Krogman and our forward-deployed team. Station, the system we'd configure for you, runs Splice every day. [See our work](https://spliceops.lrgfrmt.com/work) ## What happens next 1. **We reply.** We usually respond within 24 hours. 2. **Details agreed.** The session fee and terms, the date, who should be in the room, and an NDA. 3. **We hold the session.** A day on one of your workflows. 4. **You decide.** You leave with a prototype, our advice and a scoped next step, and you choose whether to go ahead. ## Tell us where you are A few questions so we come prepared and bring the right people. Questions marked * are required. 1. **This session is for…** * - My company - Companies in my portfolio (VC, PE or family office) - Founders in my accelerator or program - Someone else's company (I'm introducing them) 2. **Your role** * - Founder - CEO or COO - Board member - CTO, CPO, CIO or Chief AI Officer - Head of operations or another business lead - Investor or operating partner - Program lead - Other 3. **Who asked for AI?** * - The CEO - The board - Me, the founder - Our investors - No one yet: we're getting ahead of it 4. **Who owns making it real?** * - Me - Someone else: name and role - No one yet 5. **Where are you today?** * - We have the tools, maybe even daily users, but the work hasn't changed - One critical workflow runs on agents, but most work still waits to be asked - We need someone to own AI on our leadership team first - Not sure yet: the session will place us 6. **What made you look now?** Pick any. - The CEO said we're becoming an AI company, but nobody has defined what that means - The board asked for our AI plan - We rolled out Copilot or ChatGPT and nothing changed - We ran pilots; none reached production - What our best people know lives in one or two heads - We can't let AI act on its own until we know who's accountable - I'm the founder and the whole team, and my business still runs by hand - Something else: tell us 7. **Which workflow is costing you most?** One line is enough. (optional) 8. **For a portfolio or program: roughly how many companies?** 1 to 5 / 6 to 20 / More than 20 9. **Your name** *, **Work email** *, **Company** *, **Website** (optional) 10. **Anything we should know before we reply?** (optional) **Book a working session** (submits the form) Credited in full against your engagement. ## Rather write to us? Questions first? Read the [FAQ](https://spliceops.lrgfrmt.com/faq), see [how it works](https://spliceops.lrgfrmt.com/how-it-works), compare [AI-absent → AI-enabled](https://spliceops.lrgfrmt.com/services/ai-enabled), [AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native) and [fractional leadership](https://spliceops.lrgfrmt.com/services/fractional), or see [how we run Splice on our own methods](https://spliceops.lrgfrmt.com/work). --- # AI Enablement FAQ: Cost, Accountability, Data | SpliceOps URL: https://spliceops.lrgfrmt.com/faq/ > Plain answers on cost, speed, who's accountable when AI gets it wrong, data, lock-in, and what you keep after the engagement. # Questions, answered plainly What buyers ask us before they start, and what we tell them. If yours isn't here, ask us in a [working session](https://spliceops.lrgfrmt.com/book). ## Why us, and why not another route ### Why not do this in-house? You can, and we'll leave your team able to. We make the path shorter because we've done this before and we bring the governance infrastructure. The same team stays with you from the first session to production. ### Why not a company-brain platform? A platform asks you to trust the machine. We start from your own experts and cite where every answer comes from, with an accountable person behind every decision that matters. ### Why not a consultancy? A consultancy bills weeks of analysis and leaves you a deck. You get something usable in the first working session, and that session is credited in full against your engagement. ### Are we too small for this? No. We work with solo founders as well as large teams. ### Which service is right for us? It depends on where you are today. If you have the tools but the work hasn't changed, even if people use them daily, start with [AI-absent → AI-enabled](https://spliceops.lrgfrmt.com/services/ai-enabled). If your first critical workflow already runs on agents but most work still waits to be asked, start with [AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native). If you need AI leadership on your team first, look at [fractional leadership](https://spliceops.lrgfrmt.com/services/fractional). If you're not sure, the working session will tell you which fits. ## Getting started ### What is a working session? One focused day with us. We dig into how your work runs and pick one real workflow together. You leave with a working prototype of that workflow and a view of where you are on the path. For each part of the workflow you also get a build, buy or partner call and who is accountable for each decision, plus our advice on where to go next. ### How much of my team's time does it take? One focused day. We'll tell you beforehand who should be in the room. ### What does it cost? Talk to us. We scope the work with you during the working session, which is credited in full against your engagement. ### How fast will we see something? You get something usable from the first session. Once we've seen your workflow there, we tell you how long it will take to reach production. ### What if we find something new mid-engagement? If the agreed workflow needs it to work, it goes into the plan. We don't turn every discovery into a change order. Genuinely new work gets scoped with you, in the open. ## Accountability and safety ### Who's accountable when the AI gets it wrong? A person on your side. There's an accountable person behind every decision that matters, and agents can handle some approvals that person has permissioned. Before anything runs, we agree who is accountable and what each agent may approve. ### Is our data safe? Your data stays in the systems you already use. We work inside them, with only the access you give us, under NDA. ## Cost and value ### Won't this just raise our AI bill? It shouldn't. Any vendor can raise your usage. We design for value that grows faster than your AI bill. ## After the engagement ### What if we want to leave, or run it ourselves? You can. We build it so you can own it, and we operate it for as long as that's useful. By default we run the system and your brain for you as a managed service, and you can take it over whenever you like. Self-hosted is available, so you can run it yourself with your own agents plugged in. ### Can we use our own agents? Yes. No vendor lock-in: bring your own agents or use ours, and swap them whenever you want. ### What do we keep when the engagement ends? The ability to run it yourself. Your team knows how to manage what we installed and can keep improving it without us. ## Still deciding? The quickest way to answer the rest is one focused day on one of your real workflows. **Book a working session** → /book Credited in full against your engagement. --- # How It Works: From AI-Absent to AI-Native | SpliceOps URL: https://spliceops.lrgfrmt.com/how-it-works/ > One working session, then two steps: AI-absent to AI-enabled, then AI-enabled to AI-native. Who does what, and how we keep people accountable. # How it works: one working session, then two steps Becoming AI-native is the goal. We get you there one step at a time, starting where you are today, and each step ends in a milestone you can see. **Book a working session** → /book Credited in full against your engagement. ## Start with a working session It's one focused day. We look at how your work runs, then pick one real workflow together. We tell you upfront who should be in the room. What you walk away with: - A working prototype on one of your workflows - Where you are on the path: AI-absent, AI-enabled or AI-native - A build, buy or partner call for each part of that workflow - Who is accountable for each decision - Our advice on where to go next The session is credited in full against your engagement. ## Then two steps on one path The working session tells you which step you start at. | | AI-absent → AI-enabled | AI-enabled → AI-native | |---|---|---| | **You're here if…** | You have the tools, maybe even daily users, but the work hasn't changed | Your first critical workflow runs on agents, but most work still waits to be asked | | **What we do** | Put a governed AI workspace in place, and build your company's shared brain: your prompts, skills and knowledge in one place, checked against your policies and used every day | Rebuild your critical workflows so the brain drives the work, with agents as coworkers that escalate to your people based on your policies | | **Ends with** | Your first critical workflow started and run by agents | The workflows that run your business, started and run by agents | More detail: [AI-absent → AI-enabled](https://spliceops.lrgfrmt.com/services/ai-enabled) and [AI-enabled → AI-native](https://spliceops.lrgfrmt.com/services/ai-native). ## What a first workflow looks like It has to recur and matter to the business, and today someone has to start it by hand. One-off prompts and demos don't count. | Function | Agents start and run | A person decides at | |---|---|---| | Sales | A new inbound lead comes in: agents research and enrich it, draft a reply and book the meeting | Outreach to strategic accounts | | Support | A ticket comes in: agents triage it, resolve it from the brain if it's tier-1, or draft the reply | Refunds or credits above a set amount | | Finance | An invoice arrives: agents match it to its purchase order and flag any exception | Payments and write-offs | | People ops | A new hire is added to the HR system: agents set up accounts, training and a schedule | Access to sensitive systems | | Reporting | Every Monday, agents pull the numbers, draft the report and post it | Anything going outside the company | ## Who does what Your team holds authority, agents do bounded work, specialists bring judgment. Day to day, that looks like this: | Who | What they do | |---|---| | **Your team** | Decides which workflows matter, who is accountable for each decision and what agents may approve. Brings the expertise the work depends on. | | **Agents** | Start and run the workflows they're permissioned for, and escalate to your people based on your policies. | | **Our forward-deployed team** | Sits with your people, rebuilds the workflow inside the systems you already run, and teaches your team to run it. | ## How the engagement runs You always know what the current step ends with. The plan grows as we learn how your work runs, and what the agreed workflow needs doesn't become a change order. You get something usable from the first session, and once we've seen your workflow we tell you how long it will take to reach production. On price, talk to us. We scope it with you in the working session. ## After the engagement We build it so you can own it, and we operate it for as long as that's useful. Your team learns to manage what we installed, and can swap or change agents at any time. Bring your own agents or use ours. We can run the system and your brain as a managed service, or you can self-host. Underneath is [Station](https://spliceops.lrgfrmt.com/station), the system we deliver on, configured for your use case. It has spend caps, a kill switch, full action logging, and a clear line between what the AI controls and what it only observes. Station runs Splice, too. ## Questions about the process ### What if we find something new mid-engagement? If the agreed workflow needs it to work, it goes into the plan. We don't turn every discovery into a change order. Genuinely new work gets scoped with you, in the open. ### Who's accountable when the AI gets it wrong? A person on your side. There's an accountable person behind every decision that matters, and agents can handle some approvals that person has permissioned. Before anything runs, we agree who is accountable and what each agent may approve. ### How fast will we see something? You get something usable from the first session. Once we've seen your workflow there, we tell you how long it will take to reach production. ### What does it cost? Talk to us. We scope the work with you during the working session, which is credited in full against your engagement. ## Start with one workflow Pick the work that always waits on the same few people. We'll spend a day on it with you. **Book a working session** → /book Credited in full against your engagement. --- # Station: the system our work runs on | SpliceOps URL: https://spliceops.lrgfrmt.com/station/ > The governed AI workspace behind our work: spend caps, a kill switch, full logging, and an accountable person behind every decision that matters. # A governed AI workspace where your people and agents work Our delivery runs on one system. It gives your agents room to do real work and keeps an accountable person behind every decision that matters. We call it Station. ## What it does for you You set the controls: - What agents may do on their own, what they escalate, and to whom. Agents may approve only what an accountable person has permissioned. - Which actions the AI takes and which it only observes. We state that line plainly. - Spend caps that keep agents inside the limits you set, and a kill switch that stops them at any time. We answer for the rest: - Every agent action is logged. - 24/7 monitoring. - SLA-backed uptime. ## Your agents or ours Bring your own agents or use ours, and swap them at any time. Station works in the systems you already run. ## Configured for your work We configure Station for your workflows, your policies and your people, as part of [each step on the path](https://spliceops.lrgfrmt.com/services). ## Hosting options We run it for you by default. You can also self-host it, and a self-hosted Station can run air-gapped. ## We run on it too Station runs Splice every day. [See how we run our own company](https://spliceops.lrgfrmt.com/work). ## See it on your own workflow **Book a working session** → /book Credited in full against your engagement. --- # Our Team: Operators Who Run AI Every Day | SpliceOps URL: https://spliceops.lrgfrmt.com/team/ > Meet Tim Varner and Jake Krogman, plus a wider team from global banks, developer platforms and production AI. We run Splice on the methods we bring you. # Teams that run it, not consultants The people who build your system stay on to operate it, and we use the same methods on Splice itself. [See how](https://spliceops.lrgfrmt.com/work). ## Who you'll work with ### Tim Varner, Founder A serial founder and operator with more than 20 years building technology companies. Tim co-founded Roost, took it through Y Combinator and led it to an acquisition. He has advised hundreds of founders on company formation, product, fundraising and growth. ### Jake Krogman, CTO and AI Systems Architect Jake designs the agent infrastructure behind our work and manages our GPU cluster for self-hosted AI. He has spent more than 11 years building production technology as a hands-on software and AI systems architect, including an industrial machine-learning system credited with more than $1M in first-year process savings. ## Behind Tim and Jake The wider team brings more than 75 years of combined experience at Fortune 50 companies, regulated financial institutions and startups they founded and sold: - **Financial services.** Product and engineering leadership at global banks, including JPMorgan Chase, BNY Mellon and Credit Suisse: helping launch a new digital consumer bank, building large-scale experimentation, and managing about $4.5B in index-linked assets. - **Developer and data platforms.** Product, engineering and technical go-to-market for developer platforms in feature management and experimentation, and in real-time analytics. - **Production AI.** A customer-service AI agent for a major European airline, software for finance, healthcare and aviation, and reusable harnesses that keep agent-assisted work inside its guardrails, with human review. - **Media and consumer.** Co-founding and selling a creator-media business with hundreds of millions of monthly views; work with a major film studio; a game that reached one million installs in nine days without paid acquisition. - **Company building.** Founders, operators and investors, with patented technology and a two-product DeFi platform taken from concept to a working test release in about eight months. ## What you get from this Much of the early work is teaching: what prompts and skills are, and how your people write them. The same team that builds production systems has run developer education programs reaching about 400 developers, so you get both from the first session to production. Your team learns to operate what we build, so it can carry on without us. ## Meet us in a working session Spend one focused day with us on one of your real workflows. You leave with a working prototype and a clear view of where to go next. **Book a working session** → /book Credited in full against your engagement. --- More: who it's for and industries at https://spliceops.lrgfrmt.com/llms-audiences.txt; tested tools at https://spliceops.lrgfrmt.com/llms-log.txt