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AI adoption consulting

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

Guidanti helps engineering teams move from scattered AI experiments to AI that’s standard practice across the team. We embed with your people to build the foundation that makes it stick, and we keep them 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“Leadership wants traction, the team wants to feel safe.”
Our approach · The Adoption Path

A clear path from experiments to standard practice.

Four 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
    Build AI Foundation
  4. Stage 3
    Optimize the SDLC
  5. Stage 4
    Orchestrate
What we do

Four services, one path.

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STAGE 1
Assess

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

STAGE 2
Build AI Foundation

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

STAGE 3
Optimize the SDLC

AI-assisted engineers across design, build, and monitoring.

STAGE 4
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.

BC Government

Developer-experience work designing security policy management and remediation.

Developer experience at scale

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 code, team, and delivery, and show you the fastest sensible next step. If you’re not ready for one, we’ll say so.

Book an assessment