AI TRANSFORMATION & IMPLEMENTATION

Make AI part of how work gets done.

Start with one worthwhile workflow. Design, build and test it with your team, then decide what deserves to scale.

Discuss an AI project
Sales Assistant workflow example

SHAPED AROUND YOUR NEEDS

A practical starting point.

01

Workflow discovery

Map the task, the information and the handoffs before selecting a solution.

02

Focused implementation

Build and test a useful workflow, internal tool or knowledge base.

03

Adoption & review

Prepare the team, review the evidence and agree on the next step.

We agree on participants, tools, deliverables, timing, fees and support in your proposal. Your team’s context shapes the engagement.

WHAT YOU TAKE AWAY

A clear scope. A usable handover.

Use these engagement outlines to start the conversation. Your proposal confirms the exact deliverables, participants, dates and fees.

01

Discover & scope

For a repeated task with unclear handoffs, duplicated entry or slow follow-up.

Start with one workflow, its owner and the systems already in use.

Proposed deliverables

  • Current workflow and proposed workflow maps
  • Data, access and integration requirements
  • Written scope, acceptance checks and a quote
02

Build & validate

For a defined workflow ready for a focused pilot.

Build in milestones. Test normal work, exceptions and human approval with the responsible team.

Proposed deliverables

  • A working pilot within the agreed scope
  • Test results and a list of unresolved items
  • A decision on readiness for rollout
03

Handover & adoption

For teams preparing to use the workflow in daily operations.

Confirm who owns the process, how issues are handled and what ongoing support covers.

Proposed deliverables

  • Team walkthrough and operating guide
  • Access, responsibilities and escalation steps
  • Review measures and agreed support terms

How we agree on success

Before building, agree on test cases, required outputs, responsible reviewers and a baseline where measurement is possible. Test exceptions and permissions before wider rollout.

What shapes the quote

Workflow complexity, integrations, data preparation, user roles, testing and rollout support. Third-party fees, maintenance, ownership and later changes are clarified before work begins.

Scope your first workflow

FEATURED / BUSINESS TRANSFORMATION

Fame’s Code

One business. Five connected systems.

  • POS
  • Team Portal
  • WhatsApp
  • Management Portal
  • Customer Portal
Explore the transformation
Fame’s Code customer portal — original interface with demonstration dataOriginal interfaces · Demo data

HOW WE WORK

Start small. Make it useful.

01

Understand

Start with the team, the task and the friction.

02

Shape

Agree on a useful outcome and a practical scope.

03

Build together

Train, implement or pilot with the people doing the work.

04

Make it stick

Review the result and decide the next step.

START WITH A DEPARTMENT

Starting with clinic operations?

See practical workflows, implementation stages and the questions to resolve before a clinic pilot.

Clinic AI implementation

A FEW USEFUL ANSWERS

Before we talk.

We’re not sure where to start. Can you help?+

Yes. Tell us about your team and a task that takes too much effort. The first conversation helps identify whether training or a small implementation project makes sense.

Do we need training before implementation?+

No. Training and implementation are separate ways to work with us. We can combine them when that helps your team adopt the solution.

How are scope and pricing decided?+

We discuss your team, tools, desired outcome and constraints before preparing a proposal. Delivery, third-party costs and support are clarified in that proposal.

How do you choose the first AI workflow?+

Start with a repeated task and map its inputs, owners, systems and handoffs. We discuss what a useful result would look like, then agree on a focused scope to build and test before considering a wider rollout.

Can AI work with our existing tools?+

Tell us which tools and systems your team uses. We assess available access, integration options and constraints during discovery; compatibility and any third-party costs are confirmed in the proposal.

YOUR NEXT USEFUL STEP

What could your team
do with AI?

Tell us where work gets stuck. We’ll explore a practical starting point together.