Work with me

Start with the workflow, then decide what AI should actually do.

Most useful agent projects begin with a bottleneck that already costs time: inbox triage, lead follow-up, document review, reporting, or internal search.

Packaged start

AI Workflow Audit

A focused first step for teams that know something is wasting time, but do not yet know whether the answer is AI, rules, a small product, or a simpler automation.

Output

Workflow map

Current steps, owners, tools, handoffs, and failure points.

Output

Automation slice

The first useful version to build without over-scoping the project.

Output

Guardrail plan

Review points, logs, permissions, fallbacks, and success metrics.

01

Workflow audit

We map the current process, find where time leaks, and decide whether AI, rules, or a simpler automation belongs there.

02

Agent build

I build a first useful version around real inputs, review points, logs, and the tools your team already uses.

03

Automation product

When the workflow needs a proper interface, I design and build the product layer around the agent, not just the prompt.

How projects usually start

Small enough to test. Serious enough to ship.

  1. 01

    Map the workflow and name the decision points.

  2. 02

    Choose the first useful slice instead of trying to automate everything.

  3. 03

    Prototype with realistic data and known failure cases.

  4. 04

    Add human review, logs, fallbacks, and permissions before rollout.

  5. 05

    Hand over the system with the prompts, rules, and operating notes documented.

Good fit

Bring the messy version. We can scope from there.

A useful first conversation usually needs the workflow, the tools involved, the risk of getting it wrong, and what success would look like.