AI Readiness Assessment (AIRA)
AIRA is a fixed-scope diagnostic that tells you where AI will actually create value in your business, the order in which to build it, and what your organisation needs to fix before any of it works.
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.
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.
Who This Is For
This engagement is designed for businesses with a real AI question — meaning the board or investors are pressing for an answer, the executive team is expected to provide one, and current responses are not holding up to scrutiny.
More specifically, it is for organisations where one or more of the following is true:
The board has asked for an AI strategy, and the answer produced so far has not survived a follow-up question.
Productivity tools have been deployed, but there is no measurable movement in revenue outcomes, and nobody is sure why.
The company has raised on an AI narrative and now needs to operationalise it before the next funding conversation.
A PE portfolio company needs to demonstrate AI value creation within the hold period.
A pre-IPO business needs a defensible AI position that analysts and the board can stress-test.
A new CEO or leadership team needs to understand what they have inherited regarding AI before committing to a direction.
The executive team is about to make significant AI-related hiring or tooling investments and wants a credible basis for those decisions.
If you are reading this and two or more of those apply, this engagement was designed for your situation.
What It Is
AIRA is a packaged advisory engagement — fixed scope, fixed fee, fixed timeline. The output 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 a CFO.
It answers four questions that most AI strategies either skip or answer badly:
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.
What It Is Not
This is worth being clear about, because the market is producing a lot of AI advisory work that looks like a diagnosis and functions like a sales pitch.
This is not a slide deck full of AI benchmarks and industry frameworks dressed up as findings specific to your business.
It is not a report that tells you to "build an AI-first culture" or "prioritise high-value use cases" without specifying what that means for your particular revenue engine, team, and data infrastructure.
It is not an engagement designed to reach a predetermined conclusion — that you need a particular vendor's implementation services, for instance — with the diagnostic as cover.
Every finding is grounded in your actual processes, systems, and people. Every recommendation is specific enough to assign to a named owner with a realistic timeline.
What You Get
The primary deliverable is the AIRA Assessment — a clear picture of where AI will create value in your business, what needs to change before it can do so, and what to build first. Depending on the package, the assessment is accompanied by:
The AI Operating Model document — the three-layer architecture, customised to your business. Includes the AI × GTM Capability Matrix, the tool-sprawl prevention framework, and the implementation sequence. The artefact your CEO will quote internally for the next twelve months.
The AI Tool Comparison document — tool selection guidance for your specific shortlist. Where each tool wins, where it has limitations, and how to sequence deployment. Designed to settle the internal arguments about which tool to use and where.
The Process Map workbook — every process mapped, scored, classified, and ranked. Built as a living artefact: your team can add processes and rescore as the business evolves.
The Adoption Roadmap — the phased plan, structured as Now/Next/Later. Each phase includes specific actions, named owners, success metrics, and dependencies.
The board-ready executive deck — structured for board or investor presentation, not internal consumption.
AIRA Acceleration
Cross-functional, cross-layer
6–8 weeks
Cross-functional, cross-layer. The right shape for most technology companies. This is where AIRA does its strongest work.
Includes: 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; technology stack and integration maturity audit; people readiness review; AI Operating Model document; AI Tool Comparison document; 18-month phased adoption roadmap; detailed assessment report; board-ready executive deck; two read-out sessions.
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.
Options available to add: multi-region cultural readiness assessment (ANZ, Singapore, Japan, Korea, and other APAC markets); vendor evaluation with shortlist and comparison matrix; full ROI model with sensitivity analysis and three scenarios; risk register covering financial, reputational, regulatory, IP, and data residency; customer interviews included in discovery; multi-business-unit or post-acquisition integration coverage; board presentation and executive workshop; quarterly advisory check-ins post-engagement.
Scope, duration, and fee are agreed on before anything begins. Fixed deliverables, fixed timeline. No open-ended billing.
The Methodology
Most AI strategy decks treat AI as a single thing. In a revenue engine, it sits across three architectural layers — Strategic Intelligence, Revenue Intelligence, and Productivity Acceleration — each with a different return on investment, a different owner, and a different sequencing priority.
Strategic Intelligence helps the senior team think: segmentation, pricing, board narratives, scenario modelling, pipeline diagnosis. Revenue Intelligence embeds AI inside the systems that run the business: pipeline scoring, churn prediction, expansion signals and forecast hygiene. Productivity Acceleration speeds up individual work: meeting summaries, email drafting, proposal generation.
The conventional approach deploys productivity tools first. They are visible, easy to deploy, and produce immediate output. The result is a great deal of AI activity and very little impact on revenue.
AIRA inverts that order. Strategic Intelligence is activated first — the cheapest to deploy, highest-leverage. Revenue Intelligence comes second, because it changes how the organisation makes decisions. Productivity Acceleration comes last, because individual speed does not compound into revenue unless the revenue intelligence layer is already working.
This sequencing argument is presented before any engagement is signed, because it tends to settle the conversation about where to start.
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.
The findings will include uncomfortable things. The data infrastructure is not ready for what the board is asking for. There will be a tool that was expensive to deploy and is not doing its job. There will be a sequencing assumption the executive team has held for two years that the diagnostic will not support.
If the intent is to produce an assessment that validates a direction already decided upon, this is not the right engagement. If the intent is to understand what AI will actually do for your business — and to build a credible plan to get there — this is exactly what it is designed for.
The businesses that get the most value from AIRA are those willing to listen to what the data actually says and then act on it.
An AI readiness diagnostic is only worth commissioning if you are genuinely prepared to act on what it finds. 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.
Three engagements. One methodology.
AIRA Diagnosis
Single-function or single-region focus
3–4 weeks
Single-function or single-region focus. For the executive who needs a defensible point of view before the next board meeting — without commissioning a full cross-functional review.
Includes: 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; 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 and wanting an honest, scoped answer before a larger commitment.
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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.
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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.
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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.