Opportunity portfolio
A ranked view of candidate workflows using value, readiness, risk and delivery effort.
Move from broad AI ambition to a bounded initiative with a clear user, workflow, evidence base, operating owner and definition of value.
The scope stays connected to the workflow, evidence and operating responsibilities that make the capability valuable after release.
A ranked view of candidate workflows using value, readiness, risk and delivery effort.
A practical account of the data, knowledge, permissions and integrations each opportunity depends on.
A bounded first release with users, measures, exclusions and decision gates made explicit.
A sequenced plan connecting the first proof to operational adoption and controlled expansion.
Each stage leaves a reviewable decision, artefact or working capability before the next commitment is made.
Interview users and follow the current workflow from trigger to outcome.
Define the decision, evidence, exceptions and accountable owner.
Compare value, feasibility, risk and organisational readiness.
Select a pilot with measurable acceptance and a credible operating path.
Select every statement you can confirm today. This is a conversation starter, not a pass-or-fail assessment.
No. A focused discovery can establish a credible first decision while also producing evidence for a wider AI roadmap.
Yes. Current applications, APIs, data sources, permissions and operational constraints are part of the assessment.
The engagement produces a prioritised opportunity view, evidence and dependency map, pilot definition, risks and recommended next steps.
Bring the workflow, people, systems and evidence into one practical delivery conversation.
Plan the next step