An AI readiness assessment evaluates whether an organisation can successfully adopt AI, across five dimensions: data availability and quality, systems and integration capability, team skills, governance and compliance, and appetite for process change. It produces a scored picture with specific gaps and how to close them.
The gap is rarely the technology
Organisations that struggle with AI adoption almost never struggle because the models are inadequate. They struggle because data lives in five systems that disagree, because nobody owns the process being automated, or because the team was never given time to learn the tools. These are fixable, but only if named.
The assessment is deliberately independent of any build work. We would rather tell you to spend three months fixing data plumbing than sell you a model that will underperform on it.
Process
How we deliver it
Process flow for AI readiness assessment
01
Interview
Leadership, operations and technical staff, separately.
02
Audit the data
Availability, quality, ownership and integration reality.
03
Assess systems and skills
What can be connected, and who can maintain it.
04
Review governance
DPDP obligations, approval paths and risk appetite.
05
Score and recommend
Dimension scores with a prioritised remediation plan.
Deliverables
What you receive
A scored readiness report across five dimensions
Specific, named gaps with remediation steps and effort estimates
A shortlist of use cases that are feasible today
A list of use cases to defer, with what would unlock them
Presentation to leadership with the reasoning open to challenge
Engagement shape
Two to four weeks, fixed price. Deliberately sold separately from build work so the finding is not conflicted.
Stack decisions follow the problem. This is where we usually start, not a fixed menu.
Frequently asked
Questions we get about this
Is this just a sales exercise for a bigger project?
It is priced and delivered as a standalone piece precisely so it does not have to be. A meaningful share of assessments conclude that the client should fix a process or data problem first, and some conclude they should not proceed at all this year.
How disruptive is it to our team?
Roughly six to ten interviews of an hour each, plus access to data samples and system documentation. We work around your schedule and do not need people released full time.
Talk it through before you commit
A discovery call is a working session on your constraint, not a sales pitch.
