Before you invest in AI
AI Foundations
A short, honest check on whether an AI initiative is ready to move forward, and if it is not, what needs to happen first. It is a structured conversation, held before time and budget are committed.
The gap
Most AI ideas never reach production
Every AI initiative starts as a good idea, and most do not make it into production. That gap used to be handled by a business requirements document. Now it needs discovery and business realignment, confirming the basics before any technical work starts.
Familiarity with tools like ChatGPT makes AI look simple. Enterprise AI needs governance, data quality, integration and accountability that consumer use never surfaces. When those are missing, failure is often quiet: AI is introduced, it affects customers, and the organisation absorbs the damage without tracing it back.
AI Foundations is not a readiness review, a maturity model or a technical assessment. It is a conversation that asks one question: is this ready to move forward, and if not, what needs to happen first?
How it works
Two gates come first
Both need to be met before anything else is worth doing.
- Gate 1: Authority
- Is there a genuine decision-maker with their own strategic reason for pursuing this? Is that authority durable, and tied to strategy?
- Gate 2: Success
- Has the organisation defined success in measurable terms, with a way to track and report value over time?
Once both gates are met
Three diagnostics run in parallel
Exposure
What governance, risk and compliance considerations apply, and is the right sign-off involved early enough?
Operational readiness
Do the people, process and data support what is being asked?
Prior attempts
Has this been tried before? Is the same person still accountable, and can the organisation say what went wrong?
Where it leads
Each diagnostic points to a specific next step
AI Foundations does not replace this work. It makes sure the work is pointed at organisations that are ready for it.
Business case and value management
The case for change, and how value will be measured once the initiative is running.
Privacy impact assessment
Data handling, consent and exposure assessed before deployment.
Organisational change
The people and process changes the initiative depends on.
Process and knowledge realignment
The processes and knowledge an AI solution will rely on, put in order first.
What you leave with
One of two answers
You leave an AI Foundations conversation knowing either what needs to be resolved before AI work is worth investing in, or precisely which capability to engage first, and why. That might be value management, CX consulting, AI and automation or data and insights.
It replaces open-ended discovery with a short, structured conversation, and it surfaces blockers before they surface on their own. The most common are the wrong stakeholder in the room and a definition of success nobody wrote down.
It suits CX and customer operations leaders, CIOs, CTOs and transformation leads. The decision-maker responsible for the AI or CX outcome needs to attend, with people from technology and operations.
Start with an AI Foundations conversation
Tell us about the AI initiative you are considering and who owns it. We will come back to you to set up the conversation.
Want to explore opportunities first? The free AI strategy session is sixty minutes on where AI could help.