Company Check-up · Methodology
PULSE — Organisational Transformation
A diagnostic roadmap for large-scale AI adoption — without the theatre.
PULSE is the diagnostic frame behind the Company Check-up. It is for leaders responsible for AI strategy at scale — where governance, ROI, and competitive positioning collide. It surfaces the structural decisions that matter, and demotes the ones that don't.
The pillars
5 letters · PULSE
PPrivacy
Data governance and security guardrails.
Most AI strategies fail at the data layer before they ever reach the model layer. PULSE starts with what data leaves the building, where, and under what consent.
In practice
- Map every AI data flow against your governance and consent posture
- Define sanctioned, restricted, and prohibited model surfaces
- Treat AI vendor risk with the same rigour as cloud vendor risk
UUtilization
Literacy and adoption across the workforce.
Capability without literacy is shelfware. PULSE measures how the org is actually using AI — not how many seats were licensed.
In practice
- Measure active, weekly AI usage by function — not licences sold
- Identify your champions and your laggards by name
- Make AI literacy a function of onboarding, not a one-time event
LLegacy
Connect AI to existing technical infrastructure.
Greenfield AI demos die at the integration layer. PULSE forces honesty about how your legacy systems will (or won't) play with the model layer.
In practice
- Inventory the systems of record AI must touch — and their constraints
- Identify the integration debt that will block scaling
- Decide where to wrap vs. replace vs. retire
SStrategy
Align AI capability with market advantage.
Adoption without a thesis is just expensive movement. PULSE asks where AI capability translates into market advantage your competitors can't quickly clone.
In practice
- Define 1–3 strategic AI bets — not 30 pilot projects
- Tie every AI investment to a defensible competitive narrative
- Sunset experiments that don't move the strategic needle
EEconomics
Forecast ROI and structural profitability.
Vendor pricing, model commoditisation, and labour reallocation are all moving. PULSE produces an ROI forecast that survives a model price cut and a hiring freeze.
In practice
- Model unit economics under multiple model-price scenarios
- Reallocate — not just save — the hours reclaimed by automation
- Report AI ROI alongside structural profitability, not as a line item
Ready to apply it
Run the Company Check-up
Describe the work in a paragraph. The report works through all 5 pillars, so you get a structured read you can act on.