How we work

Every project follows the same five phases. They are short, each ends with something you can see or use, and you can stop after any of them with everything we produced so far.

  1. Discovery

    Usually one to two weeks

    We learn how the work is done today. We talk to the people who do it, look at real examples, measure volumes and agree what a good outcome looks like in numbers.

    • A written problem statement and success measures
    • A map of systems, data and people involved
    • A clear recommendation, including when AI is not the answer

  2. Design

    Usually one to two weeks

    We decide what the system will do, what it will not do, and where people stay in the loop. Security and data access are designed here, not bolted on later.

    • Architecture and data-flow diagram
    • Permission and escalation rules
    • An evaluation plan built from your real cases

  3. Build

    Depends on scope, in short iterations

    We build in small increments and show working software early, tested against your data rather than invented examples. You see progress every week.

    • Working system in a test environment
    • Automated evaluation results
    • Documentation as we go

  4. Launch

    Staged over days or weeks

    We release to a small group or in a supervised mode first, watch the results, and widen the scope only when they hold up. Your team is trained to operate and override it.

    • Staged rollout plan
    • Monitoring, alerts and audit logs
    • Runbooks and training for your team

  5. Support

    Ongoing, or a clean hand-over

    AI systems need care: models change, data changes, and new edge cases appear. We keep improving the system with you, or hand it over completely to your team.

    • Regular reviews of logs and failures
    • Updates as models and systems change
    • Full code and documentation ownership for you

What this looks like per service

Custom AI Agents
Discovery collects the real questions the agent will face. Most of the build time goes into knowledge, integrations and escalation rules rather than the conversation itself, and launch usually starts in draft-only mode.
Workflow Automation
We measure the manual process first, then run the automated version alongside it on the same inputs. You switch over when the comparison shows it is ready.
AI Integrations
Integrations start read-only in a sandbox. Each write action is added separately with its own scope, and your IT team reviews credentials before production access.
Marketing & Growth
We begin with a measurement audit against your back-office figures. Fixing tracking comes before reporting, and reporting comes before any AI tooling on top.

What you can expect from us

Plain answers
If a simpler tool or a process change solves the problem, we will say so.
Working software early
You see the system running on your data within the first weeks, not at the end.
No lock-in
You own the code, prompts, evaluation sets and documentation we produce.
Scoped pricing
Every engagement is quoted after discovery, against an agreed scope.

Tell us what is taking up your team’s time.

A short message is enough. We reply with an honest view of what AI can and cannot do for that problem.

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