From scattered work to a working AI system.

We audit your repeated workflows, capture your business context, build the AI system, train your team and improve it over time.

Apply for an AI Consistency Audit See pricing

Five steps

Our approach

Built around your business, not generic prompts.

Generic AI tools start from a blank prompt. We start from how your business already works: the repeat tasks, the context behind them and the standard the founder expects. Every step ends with something your team can see and use.

See the use cases

Five steps

How the work runs.

Start with one workflow. Build from there.

Audit the repeat work

We find where time is lost, where output gets inconsistent, and where the founder still has to step in.

What happens

  • Review of the work your team repeats: content, proposals, reports and replies
  • Brand consistency review of recent output
  • Where time is lost and where quality drifts
  • Which workflow will return the most value first

What we need from you

  • Examples of recent work
  • A short conversation with the founder and the people doing the work
  • A list of the tools you use today

What you get

  • Workflow opportunity map
  • Priority recommendations
  • Recommended starting workflow
  • Implementation estimate

Map the business context

We capture what on-brand means for your business, precisely enough for a machine to follow.

What happens

  • Capture voice, services, offers, proof and pricing logic
  • Collect FAQs, objections and examples
  • Write down approval rules and quality standards
  • Define what the chosen workflow needs to know

What we need from you

  • Brand or voice guidelines, if you have them
  • Good and bad examples of past output
  • Service, pricing and case-study material

What you get

  • Brand AI Memory structure
  • Workflow requirements

Build the workflow

We build the system around your real work, not generic prompts, and test it on live tasks.

What happens

  • AI assistants, templates and prompt systems
  • Knowledge base connections and automations
  • Review steps and handoff instructions
  • Testing on real tasks from your team

What we need from you

  • A few real tasks to test with
  • Feedback on the first drafts

What you get

  • A working AI workflow, ready for team testing

Train the team

We show your team how to use the system on live work, and where their judgment matters.

What happens

  • A training session using your own work
  • What to input, what to review and what to approve
  • When to use judgment instead of the system

What we need from you

  • The people who will use the workflow day to day

What you get

  • Training session
  • Usage guide
  • Workflow documentation

Improve the system

We review what is working, what is ignored, and what new context should be added.

What happens

  • Review of real usage and output quality
  • Memory updates as offers, proof and rules change
  • Refined prompts and templates
  • Planning the next workflow

What we need from you

  • Feedback from the team
  • New offers, proof or rules as the business changes

What you get

  • Improvement backlog
  • Updated Brand AI Memory
  • Refined workflows

What stays human

AI drafts. Your team decides.

01

Review points in every workflow

Every system includes a step where a person reviews, edits and approves before anything goes out.

02

Judgment stays with your team

Pricing, interpretation, relationship context and final recommendations remain your team’s decisions.

03

Flags, not guesses

Workflows flag missing information, risky assumptions and unclear claims instead of quietly filling the gaps.

04

Your rules, written down

Approval rules and quality standards are part of the memory, so every draft is checked against them.

What a system is made of

Practical parts your team already understands.

Nothing here is a black box. Each workflow is built from parts your team can open, read and change, documented so it keeps working when people change roles.

  • AI assistants
  • Prompt systems
  • Templates
  • Knowledge bases
  • Automations
  • Review steps
  • Handoff instructions
  • Usage guides
  • Workflow documentation

What next

Start with one workflow. Build from there.

The best AI systems don’t begin with everything. They begin with the clearest value.

Apply for an AI Consistency Audit