Services · Build & Implement

AI your people use, in the systems you already run.

We build AI agents, automations and integrations that plug into your existing software and data. Not a new platform to learn, and not a demo that stays a demo.

What we build

Four kinds of work we ship most often.

Conversational data agents

Your staff ask questions in plain English and get answers from live business data, without waiting in a queue for a developer to write a report. The agent can also take the next step, like opening a request on someone's behalf.

AI-assisted dashboards

Dashboards built around actions, not charts: which accounts are slipping, where buying has dropped, what a customer isn't getting from you yet. People describe the view they want, and an agent builds it.

Website and support agents

Agents that answer customers and prospects from your real product and policy information, and hand off to a person when they should.

Proactive agents

Agents that watch your data and flag what needs attention before anyone thinks to ask: a late order pattern, an account going quiet, an exception that needs a decision.

How we deliver

Trustworthy by design.

AI that runs inside your business has to earn trust from the people who depend on it. Every build follows the same four rules.

  • Auditable

    Outputs carry their evidence: the data they used and how they got there. Anyone can check the work.

  • Test-backed

    Each build ships with tests on the questions and cases that matter to your business, and runs them on every change.

  • Human-approved

    People approve anything that changes a record, sends a message or spends money. Nothing runs unattended where it shouldn't.

  • Owned on your side

    Every build has an owner in your business from day one, so it keeps working, and keeps improving, after we step back.

The shape of a build

Small first, then expand.

The first build is usually the top item from your Assessment: valuable, contained, and quick to put in front of real users. Once it's in use, we expand from what people actually do with it.

For one B2B distributor, a conversational data agent was the first build. It grew into sales-rep dashboards built from a catalog of action-oriented widgets, with proactive agents next. Read the full story.

  1. ScopeAgree the outcome, the users, the systems it touches, and how we'll measure it.
  2. BaselineMeasure how the work happens today, so the improvement is real, not anecdotal.
  3. Build with usersShort cycles with the people who'll use it, on your real data.
  4. Ship and hand overInto production, with tests, documentation and a named owner.
Feasibility sketch

Is this process a good fit for AI?

Describe a process you'd like AI to handle. You'll get a quick sketch of what it would take, the risks, and a likely size.

A first-pass sketch by AI, not a quote or a commitment.

Have a process in mind? Let's see if it's worth building.

Thirty minutes with Daniel. Bring the process; I'll tell you honestly what it would take, and whether AI is the right tool for it.