Data Readiness
A data audit, the gaps, the data quality and the data governance the AI needs.
AI Consulting & Governance
AI readiness assessment for the gaps between the AI strategy and the AI reality — the data, the infrastructure, the talent, the governance, the cost, the risk, written as a gap list and a roadmap the team can act on over the next 6–12 months.
Data Readiness
Infrastructure Readiness
Talent Readiness
Governance Readiness
Cost Readiness
Risk Readiness
Overview
AI readiness is the work of measuring the gap between the AI strategy and the AI reality. The output is a written gap list: the data, the infrastructure, the talent, the governance, the cost, the risk, the next 6–12 months. The gap list is the deliverable, with the priorities and the roadmap named.
We do AI readiness as a written engagement, with the data audit, the infrastructure review, the talent assessment, the governance review, the cost analysis and the risk register as the output. The gap list is the artefact the team and the board can act on, with the priorities and the trade-offs named.
This is the wrong engagement if the AI strategy has not been written yet. The right answer there is an AI strategy engagement, not a readiness one.
What we deliver
A data audit, the gaps, the data quality and the data governance the AI needs.
An infrastructure review, the gaps, the cloud, the model serving and the observability.
A talent assessment, the gaps, the hiring plan and the upskilling the AI needs.
A governance review, the gaps, the policy, the risk and the compliance the AI needs.
A cost analysis, the gaps, the budget, the cost model and the ROI the AI needs.
A risk register, the gaps, the mitigations and the contingency the AI needs.
Our process
01
Discover
We audit the data, the infrastructure, the talent, the governance and the cost.
02
Plan & Design
We design the gap list, the priorities and the next 6–12 months.
03
Develop
We write the gap list, the roadmap and the cost analysis as a deliverable.
04
Deploy
We hand over the gap list, the roadmap and the next three months of work.
05
Optimize & Grow
We review the gap list quarterly and update it as the AI landscape changes.
Technology
What you can expect
Industries we serve
When the AI strategy has been written and the team needs to know what is missing before the build starts. The assessment is the gap between the strategy and the reality, with the priorities and the roadmap named. The right answer depends on whether the strategy exists, the build has started, or the team is still exploring.
A written gap list, with the data, the infrastructure, the talent, the governance, the cost, the risk and the next 6–12 months. The gap list is the artefact the team and the board can act on, with the priorities and the trade-offs named. The gap list is not a slide deck.
A focused readiness assessment (one dimension, e.g. data readiness) is 2–3 weeks. A broader assessment (data, infrastructure, talent, governance, cost, risk) is 4–6 weeks. The timeline is set after the first call, not before, because the scope depends on the dimensions.
Yes, when the team wants us to. The gap list is the deliverable of the assessment. The closing is a separate engagement, with the gap list as the input. The two are independent — you can take the gap list elsewhere, or we can close the gaps.
Related services
Business software
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.