Discover the practical AI opportunities hiding inside one real workflow.
A structured review of one real workflow, at no cost, with a written summary in your inbox within 48 hours.
Eight questions, and I can start before we even speak.
Answer the questions I would ask in the first ten minutes, and our conversation starts with your situation.
Candidate AI use cases drawn from the workflow itself, not a generic list.
Where the effort sits today, and which opportunities are worth taking seriously first.
Data quality, governance, explainability and the practical system boundaries.
A short, ordered list — including "not yet" — and, where a result is worth chasing, a priced Blueprint or Proof of Value proposal.
The audit is a structured review of one workflow, not a full consulting engagement.
AI adoption has soared, but the value has not followed it.
88% of organisations use AI in at least one business function, yet only 17% attribute even five percent of earnings to gen AI, and just 7% have scaled it fully.
Three simple steps, with no obligation at any point.
No procurement cycle, just one workflow worked through and a written summary you can act on.
We walk through one workflow: where the manual effort sits, the data constraints and which AI use cases could apply.
The opportunities, likely value, risks and next actions, plain enough to circulate. Where a result is worth chasing, it ends with a priced Blueprint or Proof of Value proposal.
The summary is yours whatever follows. Sometimes the honest answer is that the payback is not there yet.
Five things you will walk away with from a single workflow review.
Every summary follows the same structure, so it is easy to share internally.
Identify practical AI opportunities
You get candidate use cases drawn from your actual workflow rather than a generic list of AI ideas.
Assess likely business value
You see which opportunities deserve serious attention first, measured against where the effort sits today.
Highlight risks and constraints
The data, system and governance constraints that would shape any implementation.
Recommend sensible next steps
You get a short, ordered set of next actions, including doing nothing yet where that is the honest answer.
Avoid generic AI hype
There is no vendor pitch, no model leaderboard and no promise that cannot survive contact with a regulated environment.
What is the catch, and why is the audit free?
It is a fair question. An engagement cannot be scoped accurately without doing this work anyway, so I give it away.
If the summary says you can build it in-house, it will say so. If the payback is not there yet, it will say that too.
When the audit fits, and when you would be better served elsewhere.
Being clear about this up front keeps the conversation useful for both of us.
- One workflow that costs real time or money, and the people who run it.
- A decision ahead about whether AI belongs in that workflow, before budget is committed.
- Work inside a core platform such as Pega CDH, Salesforce or ServiceNow, where AI has to fit around what is already there.
- Governance that matters: explainability, privacy and a person accountable for every outcome.
- A wish to hear the honest answer, including “not yet”.
- General curiosity about AI with no real workflow behind it.
- Individual coding questions, which are better answered elsewhere.
- Reviews of confidential data you do not have permission to share.
- A full implementation or architecture engagement, which is scoped and priced separately.
- A guarantee of cost savings, which I do not make.
Bring one real workflow, and I will show you where AI can improve it.
Two audits a week, a written summary within 48 hours, and an honest answer either way.