A clear start.
A considered build.

Find one useful place to begin. Know what happens next.

Explore a workflow

What could
work better?

A few questions. Public company context. Practical starting points.

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Prefer to talk? See discovery ↓
01 Context02 Workflow03 Review
Start with your company.

We’ll look only at this company’s public website. No website? We can work from your description.

AI assessments are currently unavailable. You can still explore our work and services.

Clarity before
commitment.

The explorer suggests directions. Paid discovery determines whether one is worth building.

Focused discovery

$90/ hour

Actual time. Up to 40 hours / $3,600.

  • A map of the workflow and its constraints
  • Data and access requirements
  • Feasibility, risks and evaluation criteria
  • A written recommendation and build estimate
How payment works

$1,800 at signing, credited toward actual fees. Any unused balance is refunded. Work beyond the cap requires a signed change order.

What isn’t included

Prototyping and implementation are scoped separately. Discovery does not commit you to a build or guarantee that AI is the right answer.

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From idea
to everyday use.

01

Understand.

Agree on one workflow, who owns it, and what a useful result looks like.

02

Define.

Set the scope, acceptance checks, fees and data boundaries in writing before a build.

03

Build & evaluate.

For an agreed implementation, test realistic cases and exceptions. Keep consequential actions under review.

04

Hand over.

Agree on documentation, ownership, access, support and operating costs in the statement of work.

The practical
questions.

What if AI isn’t the answer?+

A simpler process, an existing tool or conventional automation may be the right starting point. The recommendation should follow the problem.

How is sensitive information handled?+

Do not submit sensitive information through this website. Any engagement involving confidential or regulated records needs agreed access, handling and approval requirements before those records are shared.

Who owns the work?+

Ownership, licensing of existing components, account access and handover are agreed in the statement of work before implementation.

Can we use our existing stack?+

That is part of discovery: available APIs, permissions, data quality and operational constraints determine what can connect reliably.

What could
work better?

Tell me where the work gets stuck.

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A rough outline is enough. Leave out sensitive or confidential information. Your details are used to respond to this inquiry.

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