AI systems for operations

Put AI to work on one costly process.

We help operations leaders find the work worth automating, then build a focused AI system around the way their business actually runs. Start with one measurable result.

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One process. Fixed price. Founders build it.

Our position

AI should do real work—not live in another pilot.

We start with an operating bottleneck, define the result that matters, and build the system inside the tools your team already uses. The technology is ambitious. The engagement stays focused.

From first call to a working AI system

  1. 01

    Discovery call

    We start with the problems you can already see—slow handoffs, recurring rework, overloaded teams, or work trapped between systems—and decide what is worth examining on site.

  2. 02

    On-site workflow audit

    We work alongside the people doing the job, follow the process across teams and tools, and quantify where time, money, and errors accumulate. Then we prioritize the AI opportunities and price the first build.

  3. 03

    Design and build

    We map the new workflow, decide where people stay in control, connect the required systems, and build against real data. You see working progress and help us resolve the edge cases.

  4. 04

    Launch and prove it

    We put the system into the live process, train its owners, and measure it against the baseline. We stay close until it is stable and your team can operate it.

What we can help with

These systems can automate an entire workflow or improve only the steps where AI has a clear advantage. We determine that during the on-site audit.

A founding-client advantage

A small team of founders and engineers from TikTok, Meta, and venture-funded startups, with 12+ years shipping production software. The people who map your operation are the people who design and build the system.

We are early and taking on only a few founding engagements, so we stay personally involved from the first walkthrough through handoff.

Questions

What should we bring you?

A recurring process where coordination, rework, or delay has a visible cost. Reconciliations, recurring reports, approvals, intake, exception handling, and cross-team handoffs are common starting points.

What can the AI system actually do?

It can gather context across tools, prepare decisions, draft and route work, reconcile records, update systems, and surface exceptions. We keep people in control of high-consequence decisions.

How is an engagement scoped?

After the discovery call and on-site audit, we agree on the workflow, baseline, acceptance test, fixed scope, and price before the build begins.

What happens to our data and what do we keep?

Your data stays in systems you control, access is limited to what the process needs, and we do not train models on it. If we build software, you receive the implementation and operating documentation. Ongoing support is optional.

Bring us the process your team should not still be doing by hand.

We will show you what a focused AI system could take on.

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