The hum[ai]n Compass guides every engagement, whether you’re a founder navigating AI alone or a leadership team scaling it across thousands of people. Where you start depends on your situation.
Five conditions for AI adoption, with culture running through all of them. This is not linear. It works at any scale, for any organisation size.
Phase 1. Foundations and Leadership Alignment. Why AI matters in your context, what good looks like, who owns it.
Phase 2. AI Readiness and Tool Selection. Where AI fits, which tools, how you choose.
Phase 3. Governance and Guardrails. Clear, usable principles for how AI is used in your business.
Phase 4. Change and Adoption Readiness. Safety to experiment, visible leadership behaviour, internal champions.
Phase 5. Capability Building. Practical skills across the team, grounded in real work.
Your situation determines where we start. Recognise yourself in one of these.
Uneven adoption. Low confidence. Tools sitting idle.
You’re entering at Phase 04 (Change and Adoption Readiness) and Phase 05 (Capability Building). The tools are already there. What’s missing is the confidence to use them well, governance people actually follow, and the judgment to know when AI helps and when it doesn’t. The Four Skills Framework teaches understanding, briefing, evaluation, and judgment, applied to your real work.
We also name and activate champions inside your team: people with the agency, curiosity, and systems thinking to carry adoption forward once the workshop ends. They get defined roles and a pilot zone, not just a title.
This isn’t a one-off session. Over 90 days we run weekly champion huddles and monthly check-ins with your leads, tracking what’s working, where resistance is landing, and adjusting the approach as we go.
What you get:
Timeline: 3–4 months.
No tools yet, or already have tools but realise you jumped the gun.
We start with the AI Readiness Profiler. Your leadership team completes a structured assessment that maps your maturity stage, readiness across all five Compass dimensions, where you want to head, and where alignment breaks down.
From there, across a series of strategy sessions, we place you on the maturity ladder, read the shape behind it, confirm where you’re heading, and work out exactly where you enter the Compass and why. We build the governance and tool-selection foundations you need, then take it further: a change roadmap with real dates, and champions named and briefed to carry the work once we’ve left the room. We walk in already briefed. You walk out with a plan, the tools to run it, and people ready to make it stick.
What you get:
Timeline: Delivered across several sessions, paced to your team’s size and depth.
Want a quick taste first? Try the Governance Diagnostic, then let’s talk about the full program.
Build skills first. Decide next steps later.
The Four Skills Framework standalone. Your team learns to understand what AI actually does (pattern matching, not reasoning), brief it well using the SOAR framework, evaluate ruthlessly with a concrete checklist, and judge when to use AI and when to keep things human. Every exercise uses real work from your workflows.
Most AI training teaches tools. This teaches thinking that works with any tool forever.
What you get: Shared language. Practical capability applied to real work. Critical evaluation skills. Ownership of judgment.
Timeline: Flexible based on team size and depth.
“Every governance framework I’d looked at before this felt built for a business ten times our size, all risk controls and no practicality. What hum[ai]n gave us was four rules we could actually use, sized to where Emcorp is now, not where a template assumes we should be. And it didn’t stop at governance. We walked out with the full AI path, from where we actually stand today with AI through to who owns what in week one, month one and quarter one. Most engagements give you a diagnosis but hum[ai]n gave us education, directions and a map.”
Every engagement starts with a conversation. No pitch. Just an honest look at where you are and where you’re heading.
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