AI Readiness Assessment (AIRA)
AIRA is a fixed-scope diagnostic that tells you where AI will create measurable value in your business, in what order to deploy it, and what your organisation needs to fix first.
3–4 weeks · Fixed fee · B2B SaaS · ANZ & APAC · PE-backed & Scale-up
How We Think About This
AI in your business sits in three layers. The order in which you deploy them matters more than which tools you pick.
Most AI strategy decks treat AI as a single thing. In a revenue engine, AI spans three architectural layers, each with a distinct purpose, tool category, owner, and return-on-investment signature.
Most AI strategies do not survive their first board meeting.
The Gap
Every CEO has been asked the same question. Most cannot answer it well.
"What is our AI strategy?"
It comes from the board. From investors. From your largest customer in the third meeting of the quarter.
Here is the pattern. The CEO asks for a strategy. The team commissions a vendor evaluation. A pilot is run. A productivity tool rolls out. Everyone reports activity. Nobody can point to revenue movement. Six months later, the board asks again — slightly more pointedly.
The problem is not enthusiasm. The diagnostic that should have come first never happened. Nobody mapped where AI would actually create value. Nobody assessed whether the data and the people could support what was being deployed. The work began with a tool selection and worked outward, when it should have begun with a question and worked inward.
AIRA is the diagnostic that comes first.
The Offering
A fixed-scope diagnostic. A defensible plan. A practitioner who has built revenue engines for forty years.
AIRA is a packaged advisory engagement. The deliverable is a written assessment of your current state, a prioritised list of where AI will create value, a phased roadmap with named owners, and a sequencing argument that holds up to scrutiny from a CFO.
It answers four questions:
Where will AI create measurable value — and where will it just create slides?
Is your data, process consistency, and integration maturity good enough to support AI today — or does foundational work come first?
Do your people have the context, skills, and operating rhythm to use AI well — and where are the gaps?
What should you do in the next 90 days, six months, and 18 months — and in what order?
The diagnostic stops at the recommendation. AIRA produces a plan. Implementation is a separate decision.
Three to four weeks for the initial assessment. One methodology. Built on forty years of revenue engine experience across Asia-Pacific and proven in the field with recent diagnostic work at an Australian SaaS leader.
The sequencing argument
The conventional wisdom says to start with productivity tools. They are visible, easy to deploy, and produce immediate, tangible output. The result is a great deal of AI activity and very little impact on revenue.
AIRA inverts that order. Strategic Intelligence is deployed first — it is the cheapest layer to activate and the highest leverage. Revenue Intelligence comes second, because it changes how your organisation makes decisions, which is where revenue actually lives. Productivity Acceleration comes last, because it optimises individual speed without changing organisational behaviour.
Individual productivity gains do not compound into revenue unless the revenue intelligence layer is already in place.
AIRA Acceleration
Cross-functional, cross-layer
6–8 weeks
The right shape for most technology companies. This is where AIRA does its strongest work.
What you get
All required stakeholder interviews across Sales, Marketing, Customer Success, RevOps, Finance, and Product
All processes mapped with full cross-functional coverage
All three architectural layers assessed — Strategic, Revenue, and Productivity
Technology stack audit and integration maturity assessment
People readiness review — skills, operating rhythm, and change capacity
AI Operating Model document, customised to your stack and stage
AI Tool Comparison document for your specific shortlist
18-month phased adoption roadmap (Now/Next/Later)
Detailed assessment report
Board-ready executive deck
Two read-out sessions: executive team, plus one wider working session
Best fit
VC-backed scale-ups Series B through D. Companies that have raised on an AI narrative and need to operationalise it. Mid-market technology businesses with a real AI question and the appetite for a proper answer.
AIRA Tailored Engagement
Scope agreed before we begin
For organisations with needs that go beyond the standard packages — multi-region operations, post-acquisition integrations, PE portfolio companies, or pre-IPO businesses facing analyst scrutiny. Built from the Acceleration baseline, with additional components agreed to match your specific question.
Select from the following options — we will agree on the right combination in the scoping conversation:
Multi-region cultural readiness assessment (ANZ, Singapore, Japan, Korea, and other APAC markets)
Vendor evaluation — shortlist, comparison matrix, and recommended approach
Full ROI model with sensitivity analysis and three scenarios
Risk register — financial, reputational, regulatory, IP, and data residency
Customer-facing and customer interviews are included in discovery
Multi-business-unit or post-acquisition integration coverage
Board presentation, executive workshop, and team enablement session
Quarterly advisory check-ins post-engagement (six-month programme)
Scope, duration, and fee are agreed upon before anything begins. Fixed deliverables, fixed timeline. No open-ended billing.
Five buyer profiles. One methodology.
Founder-led, bootstrapped
"What should we do first, and what should we ignore?"
Typical fit: Diagnosis
Pre-IPO or recently public
"We need a defensible AI position that analysts and the board can stress-test."
Typical fit: Tailored Engagement
VC-backed (Series B to D)
"We have raised on an AI narrative. Now we need to operationalise it."
Typical fit: Acceleration
Private (founder-owned, no external capital)
"Are we behind on the things that matter, or behind on the things that are loud?"
Typical fit: Diagnosis or Acceleration
PE portfolio (post-buyout, mid-hold)
"How do we extract value from AI during the hold period without breaking the operating model?"
Typical fit: Acceleration or Tailored Engagement
If you have been asked the AI question and you do not love your answer, we should talk.
The scoping conversation is 60–90 minutes, no fee, no obligation. You walk away with a clearer view of what an AIRA engagement would look like for your business and an honest opinion on whether it is the right shape for the question you are asking.
If it is, we move forward. If it is not, we will tell you what the right shape probably is — even if it is not us.
Two core packages. One bespoke option for complex needs.
AIRA Diagnosis
Single-function or single-region focus
3–4 weeks
For the executive who needs a defensible point of view before the next board meeting, without commissioning a full cross-functional review.
What you get
Up to 10 stakeholder interviews, scoped to your specific question
Key processes mapped, classified, and scored
Top 10 prioritised opportunities scored across impact, effort, readiness, and risk
90-day quick-wins list, ready to action
Detailed written assessment report and process map workbook
Executive read-out (60 minutes, in person or by video)
Best fit
Founder-led scale-ups. Single-region reviews. Companies asking the AI question for the first time, who want an honest, scoped answer before a larger commitment.
-
What it does:
Helps your senior team think — segmentation, pricing, board narratives, scenario modelling, pipeline diagnosis
Where the value sits:
Extremely high. Shapes everything downstream. text goes here
-
What it does:
Embeds AI inside the systems that run your revenue — pipeline scoring, churn prediction, expansion signals, forecast hygiene
Where the value sits:
Very high. This is where revenue ROI actually lives.
-
What it does:
Speeds up individual work — meeting summaries, email drafting, proposal generation, internal communications
Where the value sits:
Moderate. Reduces friction. Does not transform revenue.