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AI adoption consulting

You’ve experimented with AI. Now make it the way your team works.

Guidanti helps organisations move from scattered AI experiments to AI that’s standard practice — in engineering and in the business around it. We build the leadership judgment, the shared foundation, and the team structure that make it stick, and we keep your people in the driving seat of how it’s used.

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The problem

Lots of experiments. No shared way of working.

You gave people access and told them to try things. Some took off with it. Some aren’t using it at all. The ones who are aren’t comparing notes. There’s no standard, no shared learning, and no clear line from all this activity to results the business can feel.

01“We have plenty of pilots and nothing standardized.”
02“Our best AI users aren’t sharing what works.”
03“Our leaders are asked to approve AI work without a basis for judging it.”
04“Our people are faster with AI, but we’re still organised the way we were.”
Our approach · The Adoption Path

A clear path from experiments to standard practice.

Six stages, and you can start where you are. We name the destination, but we won’t sell it to you before the foundation is ready.

  1. Experimentation
    Where most teams are today
  2. Stage 1
    Assess
  3. Stage 2
    Align Leadership
  4. Stage 3
    Build AI Foundation
  5. Stage 4
    Design the Organization
  6. Stage 5
    Optimize the Workflow
  7. Stage 6
    Orchestrate
What we do

Six services, one path.

Start where you are

All services →
STAGE 1
Assess

Know exactly where your work, your team, and your delivery stand today.

STAGE 2
Align Leadership

Workshops that build the judgment to decide where AI belongs, and where it doesn’t.

STAGE 3
Build AI Foundation

Set the standards, artifacts, and training that make AI stick.

STAGE 4
Design the Organization

Redraw teams, ownership, and decision rights for people who are now far more autonomous.

STAGE 5
Optimize the Workflow

AI across the whole loop — software delivery, and the business operations around it.

STAGE 6
Orchestrate

Multi-agent workflows running delivery, with your people in command.

Why teams choose us over a big firm or a pile of licenses.

We embed and build

We work inside your team and leave working software, not a deck.

We keep your people in front

The people whose work changes help shape how AI is used, so it’s trusted, not resented.

We’ve done it at scale

Platform and developer-experience work for organizations with 100k+ developers, and real AI rollouts already delivered.

Proof, not promises

Evidence of doing the work.

Fintech scale-up

Built the full AI Foundation, from standards to agent workflows, across the engineering org.

British Columbia Government

Developer-experience work designing security policy management and remediation.

Global tech company

Backstage platform work reaching more than 100,000 developers.

Read a case study →

How we think about adoption.

Framework
The Adoption Path: from experiments to a software factory, without skipping the foundation.
Point of view
Why AI adoption fails when you skip the people.
Practice
Standardize without killing experimentation.

Find out where you actually stand.

Start with an assessment. We’ll map your current state across your work, your team, and your delivery, and show you the fastest sensible next step. If you’re not ready for one, we’ll say so.

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