Services · AI & Data Innovation

Where AI pays back, and the data plumbing that makes it work

Most AI work fails on data, not models. This category covers deciding what to automate, building the agents that do it, and connecting the systems they read from.

Scope

What is inside

  • A ranked, priced list of what to automate first
  • Agents and automations running against your real systems
  • Pipelines and integrations that keep the numbers current
  • Logging and guardrails so you can see what the system did

Not scope

What we will not sell you

  • Training foundation models from scratch
  • Pilots with no owner and no payback figure

Timeline

When you actually see something

Each stop ends with an artifact you can read, run, or hand to someone else.

  1. Week 1

    Access and baseline

    We measure what today costs before changing anything.

  2. Week 2

    Opportunity map delivered

    You pick the first process; we name the ones to skip.

  3. Week 4

    First agent in production

    Narrow scope, human approval, real work flowing.

    In production
  4. Week 6

    Runbook and handover

    Your team owns it. We stay reachable for 30 days.

One next step, and it is a paid one on purpose

The AI Opportunity Diagnostic is a fixed-scope engagement. You leave with a ranked plan you can act on with us or without us.

Still sizing the problem? Write to us in your own words first. A person reads it.