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How it works

Five steps, starting with your team's real work.

Training works on its own. When a workflow needs software, step four builds it.

9:41●●● ⌔ ▮
YB
Company assistantApproved documents only
On Elm St. Customer asking if the 3/4 hp pump we quoted in March is still right for a two-story house.
Yes. Quote #2291 from March 14 specified a 3/4 hp pump rated to 60 ft of head. Two stories is inside that. Want me to text her the quote PDF?
Yes, and add a note that we can start Thursday.
Sent. Thursday is on the schedule as tentative until she confirms.
Quote #2291 · Mar 14Pump spec sheet · p. 2
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Book an introductory call
  1. 1
    Enablement

    30-minute intro call

    A quick conversation about your business and where the time goes.

  2. 2

    Half a day with your team

    We watch the real work, time it, and map what to fix first.

  3. 3

    The workshops

    Usually three hands-on sessions. Your team learns AI on its own work.

  4. 4
    The system

    When it needs more, we build it

    Scoped and priced first. Pilot in two weeks, live in four.

  5. 5
    Included

    Ongoing

    A monthly call, a direct line to us, and upkeep for anything we built.

Packages

Two packages. Support included.

Pricing is set in your proposal.

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Step one, either way: the Opportunity Map

Half a day on site. We time the repeat tasks, rank the three to five worth doing first, and leave one small automation running on your own documents before we go.

$3,500 to $5,000credited in full against Enablement
Start here
Package A

Enablement

Your team learns AI on its real work, and we connect small automations.

  • Initial hands-on workshops
  • The video library and SOPs, from day one
  • Weekly or monthly calls
  • A direct line to the dev team, same-day answers
  • The company brain and your opportunity map
  • Monthly call and new-hire onboarding
Discuss enablement
Most popular
Package B

Enablement + Your System

Enablement, plus one system your business runs on.

  • Everything in Enablement
  • Records, brain, automations and approvals in one place
  • Your team adds simple tools itself. We build the complex ones
  • Scoped first. Source code and documentation are yours
  • Ongoing support, hosting and upkeep from $1,000 a monthHosting and backups · monitoring · the approval log · up to four small changes a month · the monthly call · the direct line
Discuss the system

Our guarantee covers our work: the workshops, the brain, the library and the system, measured against the baseline from your Opportunity Map. It does not promise what any AI gets right, which is why a person approves every step.

FAQ

Straight answers.

Do we need to know anything about AI?

No. We start from where your team is. Sessions are grouped by role and experience, so beginners and people already experimenting both get something useful.

We don't know what AI could do for us. Is that a problem?

No. That's what the review is for. We walk through a normal day with your team and show you what can be automated, what AI can speed up, and what should stay with people. You don't need a list going in.

Is it safe to use AI with sensitive business information?

We start by agreeing which tools are approved and what can and can't go into them. Anything that touches sensitive business or customer information gets reviewed by a person. Those rules are set with you before anyone starts.

Can we start with training only?

Yes. Training is designed to be useful on its own. Your team leaves with practical skills, resources, and a prioritized list of improvements, whether or not you ever build anything.

What's the difference between the two packages?

Enablement trains your team to do its real work with AI, sets up the company brain, and connects small automations to the tools you have. Enablement + Your System adds the system we build: your records, the brain and the automations in one place. Ongoing support comes with both. It is not sold separately.

Can you build custom tools?

Yes. When a workflow needs something your current tools can't do, we build focused tools and integrations. Each project is scoped separately, with agreed deliverables, before you commit.

Who pays for software subscriptions and API usage?

Any hosting, API usage, or third-party licenses a solution needs are identified in the proposal, along with who pays for them, before you commit.

What happens to our data and custom work if we stop?

How your data is handled, who owns custom work, and what happens if you cancel are defined in the agreement. We walk through those terms with you before you sign.

How do you measure whether it helped?

We agree on measures at the start, such as time per task, corrections needed, and whether people can complete tasks on their own. Measured baselines and assumptions are labeled separately.

Give your team a practical starting point with AI.

Book an introductory call →