Service lane
AI infrastructure & integrations
Your tools, data, and models already exist. We connect them into one system that works the way you do, so the right information and the right action reach each other without you in the middle.
How it works
01
We map your tools
We look at what you work with daily and where time leaks.
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We wire them into one system
MCP connectors and pipelines join your tools, data, and models.
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Automation takes the routine
Repeatable steps run on their own, you watch the results.
01
What it is
AI infrastructure and integrations means wiring your stack together: MCP connectors that let models reach your tools and data, event-driven pipelines that react the moment something happens, and automation shaped around the workflow you already have. It's the plumbing between what you run, not another dashboard to check.
02
What it's good for
A few shapes this takes in practice:
- A new lead lands in your CRM and kicks off enrichment, a drafted reply, and a nudge to the right person. Nobody copy-pastes anything.
- A file dropped in storage is parsed, classified, and filed where both your team and your agents can find it.
- One order, ticket, or form event fans out to the three systems that need to know about it, in sync.
- Your models read from, and write back to, the tools you already use, through one governed connector layer.
03
What's possible
Connectors to the tools and data you run, over MCP and APIs. Event-driven pipelines triggered by webhooks, schedules, or changes. Transforms and routing between systems, human checkpoints where they matter, and observability that shows what ran, when, and why.
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What you gain
- Less manual glue work. The steps between tools run themselves.
- Data that stays consistent across every system at once.
- Faster reactions: things happen the moment they should, not at the next manual check.
- A foundation for the rest of your AI: agents, RAG, local models all build on it.
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Who it's for
Teams already running several tools that don't talk to each other. Anyone whose people spend real time moving data by hand. Businesses that want AI wired into how they actually work instead of one more app to babysit.
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How we build it
We start from how you already work, then connect the pieces: MCP connectors to your tools and data sources, event-driven pipelines for the moments that matter, and automation with clear guardrails so it stays safe and observable. The same people build it and run it. When something changes, the system adapts instead of breaking.
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Examples
Illustrative, not case studies. Every engagement is scoped to your own stack:
- Connecting a support inbox, a knowledge base, and an agent so common questions get accurate first-draft replies.
- Wiring an e-commerce backend to inventory, fulfilment, and messaging so a single order event updates them all.
- Bridging internal tools to a private model so staff can ask questions in plain language, grounded in real data.
Want this wired into your stack?
OTW builds and runs it end to end. Join the waitlist for early access, or write to us and we'll work out what to wire first.