Booking Q4 deliverystart with a free workflow plan Denver · Phoenix · Remote
The method

Discover. Build. Evolve.

A defined workflow, a written scope, and a team accountable for putting it to work. Here is how discovery, building, and handoff fit together.

The methodv.2026
PhasesThree
Delivery~90 days
TeamOne accountable lead
QuoteFixed, in writing
01 / The three phases

How a build actually runs.

Every build needs a clear problem, tested delivery, and an owner after launch. A paid audit is useful when the problem needs investigation. If your workflow is already defined, we can start with sprint scoping. Ongoing Managed Services is optional.

01

Discover

learn the business first

We map the workflow with the people who run it: the inputs, handoffs, time, cost, and exceptions. The audit produces a plan you own; direct sprint scoping starts from a workflow you have already identified.

  • Workflow + cost mapping
  • Where AI actually pays
  • A plan you own
02

Build

inside your real operation

We build around your existing tools, test real cases, and check the agreed approval and exception paths. Your team sees what the system does before accepting the workflow for everyday use.

  • Small, working, tested
  • Runs in your real stack
  • Trust earned before it matters
03

Evolve

as the work changes

Your team owns the delivered system and can run it after handoff. If you choose Managed Services, we monitor, maintain, and improve the agreed systems as your work and vendors change.

  • Tune and extend
  • Retire what is done
  • Stays useful over time
02 / The first 90 days

From scoped workflow to working system.

An AI Implementation Sprint typically takes 4 to 12 weeks, depending on scope. A separate audit, if needed, takes 2 to 4 weeks. The written agreement defines the build scope and timeline; the delivery guarantee applies to the scoped workflow. See the Implementation Sprint or price list.

Before the build Discover

Confirm the workflow, systems, inputs, responsibilities, and acceptance criteria before work begins.

During the build Build

Build and test against real cases. Review outputs, exceptions, and approval paths with the people who will use them.

At handoff Handoff

Train your team, review the operating instructions, and hand over the delivered system. Decide who will monitor and maintain it.

03 / The promise

What we promise. And what we don’t.

The list on the left is what we sign up for. The list on the right is what no honest AI shop should ever claim. If one does, ask harder questions.

What we promise

  • Published price ranges before a call, with the scoped price agreed in writing
  • Fixed scope and a fixed price agreed before we start
  • One accountable operator for scope and sign-off, supported by the build team
  • Vendor-neutral recommendations, including the free tool when the free one wins
  • A human who can explain, question, and overrule every system we build

What we don’t promise

  • Guaranteed ROI numbers: we quote ranges; real results depend on your execution
  • A universal timeline: integration, data, testing, and customer dependencies affect the work
  • That AI is right for you right now: sometimes the honest answer is “wait a quarter”
Start here

Start with one workflow, not a commitment. Get a free written recommendation by email within 24 hours, or book a free 30-minute call to discuss the work and its constraints.

We reply within 24 hours. A fixed quote follows an agreed scope, before paid work begins.

— Christopher Myers, Founder