Whitesmith AI Momentum Check

For leaders tired of being told their organisation should 'do more with AI'.

The Momentum Check is the diagnostic we usually run in person with leadership teams at the start of every Whitesmith engagement. This online version codifies that thinking into an AI-powered tool that uses Whitesmith frameworks to adapt to your answers. About eight minutes for a personalised read on where your AI work has momentum, where it's stalling, and the two or three moves that would shift the most in the next ninety days.

More clarity in just 8 minutes

The diagnostic scores you across the six dimensions Whitesmith uses to assess organisational AI momentum, and places you on a scale from "Standing still" to "Setting the pace". You get a written analysis of where your momentum is building, where it's stalling, and why. Plus, the two or three high-leverage moves that will make the most difference to your organisation in the next ninety days.

Built on the work, not the theory

We design, build, and embed AI inside leadership and engineering teams every week! This assessment uses the same framework we apply when we first walk into an organisation: the lens we use to work out what to fix, in what order, and with what evidence.

You don't get a generic readiness score. You get the same read we'd give a paying client in week one.

Take the AI Momentum Check

From signal to plan

The Momentum Check stands on its own - take it, read it, act on it. If you want the diagnostic at the depth we'd run inside your organisation (a working session with our team, a written report, and a ninety-day plan), that's what we do next.

Strategic clarity, question 1 of 3

Strategic clarity

How does AI sit in your organisation's priorities right now?

Board-level priority with budget behind it
Leadership knows it matters but hasn't committed resources
A few people are interested but it's not on the leadership agenda
We haven't discussed it at a senior level

Does your organisation have a clear view of where AI should create value?

Yes, specific areas identified with a plan
Some ideas but nothing structured or prioritised
We know AI is important but not where to focus
We're not sure what's possible for our type of business

Who owns AI in your organisation?

A named person or team with a clear mandate
The CTO or IT director has it as part of their broader remit
It's everyone's job and nobody's job
Nobody, it's not formally owned

Team adoption, question 1 of 3

Team adoption

How widely is your team using AI tools today?

Most of the team uses AI tools daily
A handful of enthusiasts, but it's patchy
A few people experimenting on their own
Barely anyone, or we don't know

How confident is your team in using AI effectively?

Most people know what AI is good at and use it well
Some getting results, others unsure where to start
Curious but feeling unsure or overwhelmed
Active scepticism or resistance

Has your organisation invested in AI training?

Structured programme with ongoing support
Some workshops, but not systematic
People are mostly self-teaching
No training investment

Process readiness, question 1 of 3

Process readiness

How well documented are your core business processes?

Well documented and regularly updated
Partially, some areas clear, others rely on institutional knowledge
Most knowledge lives in people's heads
We don't really have documented processes

Where does work most commonly get stuck?

Gathering information or waiting for approvals
Manual, repetitive tasks that take skilled people's time
Handoffs between teams or departments
We don't have a clear picture of where bottlenecks are

How open is your organisation to changing how things get done?

Very, leadership actively champions new approaches
Open to it, but change needs strong justification
Mixed, some teams embrace change, others resist
We stick with what works until forced to change

Data and infrastructure, question 1 of 3

Data and infrastructure

How would you describe the state of your organisation's data?

Clean, centralised, and accessible
Decent in some areas, messy in others
Scattered across systems with no single source of truth
It's a mess, honestly

How much does your organisation rely on older technology systems?

Heavily, critical operations on 10+ year old systems
Some legacy, gradually modernising
Mostly modern with a few exceptions
Everything is relatively modern

How easily can your systems talk to each other?

Well integrated, data flows reliably
Some integration, but lots of manual data transfer
Mostly siloed, teams work with incomplete information
I'm not sure how our systems connect

Governance and risk, question 1 of 3

Governance and risk

Does your organisation have a policy on using AI tools?

Clear written guidelines on what's allowed and how
Informal guidance but nothing documented
No policy, people use their own judgement
We've blocked AI tools pending a decision

How sensitive is the data your organisation handles?

Highly regulated (healthcare, finance, legal, government)
Commercially sensitive but not heavily regulated
Mostly general business data
Not sure about our data classification

How does leadership think about AI risk?

Pragmatic, manage risk actively without being paralysed
Cautious, rather wait until others prove it
Concerned, lots of worry about getting it wrong
Haven't discussed AI-specific risks

Value realisation, question 1 of 3

Value realisation

Has AI delivered measurable results in your organisation?

Yes, specific outcomes we can point to
Some early wins but nothing measured rigorously
People say it helps but we have no data
No tangible results yet

Can you measure the impact of AI adoption?

Defined KPIs tracked regularly
We track some things informally
Not yet, but we know we should
Wouldn't know where to start

Is there budget allocated for AI initiatives?

Dedicated AI budget
Comes out of existing IT or innovation budgets
We'd find budget with a clear case
No budget allocated

Almost there

Tell us about you.

Your results are on the next screen.

First name
Work email
Company
What's your main interest in AI right now?

AI for software teams
AI for business leaders
Transforming organisations with AI

Website

Scoring your answers across six dimensions