Purposeful AI transformation
Are AI investments connected to meaningful organisational outcomes?
Human Flourishing AI · Organisational Assessment
AI should make us better.Is it?Find out.
An assessment that shows what AI is really doing in your organisation.
You'll answer a series of questions covering how AI is affecting your organisation - financial value, productivity, people's skills and judgement, collaboration, learning, and how responsibly it's being used.
For example: a programme that looks like a clear £5m win on paper can net closer to £2.5m once the real costs are counted - licences, training, rework, oversight. And that's before accounting for what happens to judgement, expertise and capability.
(Illustrative example - see the full briefing for the worked figures.)
At the end, you'll get a personalised report to work from.
This is a pilot, open to a small number of organisations already using AI. Access, and the full briefing, are free for those taking part.
The short version
A four-page introduction
Read it→
The full briefing
The full detail, including a worked example
Read it→
Why this matters
AI can make work faster and cheaper. It can also change who understands how things work, who exercises judgement, and what people can still do without it.
Some organisations are building human capability through AI. Others are quietly spending it down. Both look the same in this year's numbers.
The question isn't what AI can do. It's what AI is making you become.
What you get
A few sample pages from a report for a fictional organisation.
Your report appears on screen as soon as you finish, ready to save and share. It includes:
- Where you stand, with the most serious findings up front
- Five dimensions, from Reactive to Flourishing, and what the next level looks like
- Up to seven findings graded Critical or Material, each showing what triggered it
- Your financial figures, and what they leave out
- What your claimed benefits rest on: measurement, self-report or impression
- Prioritised actions, and who would need to approve each one
Most AI assessments tell you how advanced you are. This shows what AI is doing to the organisation underneath.
The core assessment takes 15-20 minutes. If you also complete the optional financial section - the fuller version - allow 30-45 minutes. Answer for what actually happens, not what is intended.
Nothing commercially sensitive is required - the financial section is optional - and the focus is the organisation, not individuals. Your answers come to me, are kept securely for 12 months, and are never shared or used for marketing. You can ask for them to be removed at any time.
Not the right time? The assessment is still being tested. Leave an email and I'll let you know once it has been through a proper trial.
What happens next
Your report shows what's genuinely improving, where the gaps are, and what deserves more attention.
If several colleagues complete it too, we can run the responses through our Divergence Tool - it compares what different people in the same organisation said, and shows where you agree and where you're describing different organisations.
And if it's useful, we'll go through the findings together.
What the assessment examines
Five dimensions of human and organisational flourishing - examined together, not in isolation.
Human capability and agency
Is AI strengthening judgement, expertise and people's ability to act?
Collective intelligence
Is AI improving how people think, collaborate and learn together?
Responsible AI stewardship
Are governance and accountability keeping pace with capability?
Learning, adaptation and feedback
Is the organisation learning from what AI is changing?
Behind these five dimensions are twelve principles. They've been developed and tested in stages, and the work is still ongoing.
The Person Behind This
Firooz Firoozmand
Capacity2Grow
Over 17 years across academia, banking and civil society, I kept seeing the same pattern: capable leaders making reactive calls under pressure, not from a lack of judgement, but because no one had given them a way to stop and see more clearly. I saw it building and running a complaints team in banking, where policy met real people every day. I saw it again working with civil society leaders trying to agree what they stood for at senior level. Community development, running through all of it, taught me the most - leading without the authority to simply direct people. That gap is what MQNA was built to close.
Alongside that, I've been building with AI directly - testing, refining and rebuilding my own tools and assessments as I go. That combination is what shapes this work.
This same leadership work continues through one-to-one coaching and team workshops - explore the MQNA Leadership Clarity Programme →
Who this is for
The situations this is built for
Post-rollout review
We have just implemented an AI programme across the business. We know what it cost. We do not yet know what it is producing - or what it might be quietly changing about how our people work and think.
Leadership alignment
Our senior team has different views on what AI is doing for us. Some see productivity gains. Others see risk. Others see something more fundamental shifting. We need a shared picture before we make the next investment decision.
Strategic readiness
We are considering a significant AI investment. Before we commit, we want to understand our current capability - what we are building on, and what we need to address first.
To request access, contact firooz@capacity2grow.com