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For organizations

Your team doesn't need more AI tools. They need practical AI capability, AI they can trust, and scalable business outcomes.

Most AI programs stall before they matter. We build AI adoption from the inside: capability, governance, culture, and the human side, together, for long-term impact.

Led by practitioners. Building AI since 2016, and doing EU AI Act compliance work since 2024.

Leaders and founders we've worked with

Microsoft, Google, Apple, JPMorgan, Caterpillar, Macquarie, AMD, Okta, Accenture, Deloitte, Mastercard, Techstars

Three core services

Every AI initiative depends on the strategy, the capability to execute it, and the people who live with the change. We work across all of it, because that's where adoption lives or dies.

AI Strategy & Governance

A clear plan for what to do first, what to fund next, and how to prove it's working, with governance built in from day one instead of bolted on after your first audit.

  • AI readiness assessment
  • AI strategy and roadmap
  • Fractional AI advisor
  • EU AI Act readiness and governance
  • Responsible AI frameworks
Best forScale-ups and mid-market leadership teams making high-stakes AI decisions who need a practical roadmap.
Discuss an engagement

AI Training & Enablement

Training people still use in week four, not just week one. Built around what your team actually does, so the skills show up in the work.

  • Leadership AI programs
  • Role-specific, hands-on team workshops
  • Custom training curriculum
  • Corporate keynotes and offsites
  • Train-the-trainer programs
Best forL&D leaders whose last AI training looked great in the room and left no trace three months later.
Discuss a program

AI Workforce & Change

The part of AI adoption that doesn't show up in a roadmap: moving your people from resistance and fear to ownership, so the strategy you funded turns into real change.

  • Adoption diagnostic
  • Manager enablement programs
  • AI champion networks
  • Group coaching for teams
  • Listening systems for adoption signals
Best forOrganizations where the tools are deployed but adoption is stuck.
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EU AI Act readiness

If your organization builds or deploys AI that touches the EU, the Act brings governance obligations and real penalties. We've done this compliance work since 2024, and we turn it into a plan your team can follow.

  • AI literacy for your people (Article 4): the Act asks you to make sure staff understand the AI they use, and a record of the training helps you show it
  • Where your AI systems fall under the Act's risk tiers
  • The governance gaps that trigger penalties
  • What to document, and who owns it
  • The human-oversight requirements teams miss

How we work

Four phases, each with something you can see and measure. We shape the details around your context, so you know what you're getting before you commit.

01

Assess AI maturity

We score where you are across strategy, skills, data, governance and culture, and show which gap blocks adoption most.

02

Design systems

We pick the priority systems where AI pays off for your teams, and design them with the people who do the work.

03

Build and deliver the roadmap

We train teams, enable champions and ship the first changes, so the plan becomes new habits.

04

Measure adoption and ROI

We agree on success up front. Then we report adoption, behavior change and ROI.

A first step

AI, on Your Terms, for your team

Not ready for a full engagement? Start with one live workshop for your team. We shape it around their roles. Everyone leaves with their own AI growth playbook and 10+ personalized skills, plugins or prompts, and you get a shared starting point for how the team works with AI.

Let's find the one thing worth fixing first

A 30-minute call. We'll look at where you stand across strategy, capability, and people, and you'll leave knowing your next move, whether or not we work together.