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DWKD
Consult

Make the right thingwork.

AI workflow automation, data quality, and digital product consulting. Understand the problem, build a useful response, and see how it performs.

Inside the work

See the work.
Try it yourself.

Three demonstrations built with synthetic data. Read the decisions, download the files, reproduce the output, and inspect the limits. These are not client case studies.

Six service families — pick the door, the method is the same

AI Transformation

Decide where AI belongs, prove it with a pilot, and ship it with guardrails people can review.

Explore

Start with the question you have.

Start with one workflow, one disputed number, or one product decision. We agree on a written scope, deliverables, timing, and fees before paid work begins.

A scope you can evaluate — before you commit

Each proposal identifies the question, deliverables, access needed, acceptance criteria, fees, and what is outside the engagement. Dates depend on that scope and availability. Implementation, third-party software, and ongoing support are included only when the proposal says so. No purchase or case-study permission is required to send an inquiry.

How an engagement runs — the short version

  1. Learn the workflow with the people doing it. Agree on the question, available evidence, and baseline.Understand
  2. Write the scope, deliverables, exclusions, decision criteria, timing, and fees. Decide whether process, software, data, or AI fits.Agree
  3. Build or investigate within the agreed scope. Record tests, assumptions, failure cases, and decisions.Build
  4. Show the result against the agreed criteria. Hand over the findings or deliverable, its limitations, and the next steps.Show