The operating context
Sector economics, regulation and common process patterns shape what a use case could return and what risks it carries.
Ascent / Opportunity intelligence
Find the AI work
worth funding.
Ascent helps enterprises discover, compare and prioritise AI use cases using their own context and defensible evidence.
1,100+Use-case library5 daysDiscovery to readout
Ascent / AssessmentThe decision problem
A long list is not a fundable portfolio.
Leaders need to know which use cases fit their organisation, what evidence supports them, what they may return and who will own the result. Ascent brings those questions into one process.
A clearer opportunity portfolio
Context in.
Clarity out.
A library becomes useful when it is filtered against the way your organisation actually works. Ascent indexes opportunity by industry, domain, function and process, then builds an evidence trail around the resulting priorities.
Illustrative portfolio view
From possibilities to priorities.
4DContext
1,100+Use cases
5 daysReadout
OpportunityEvidenceNext move
Document reviewValidatedPrioritise ↗
Service triageDevelopingTest ↗
Knowledge retrievalTo verifyExplore ↗
Example only. Actual outputs depend on the organisation.Relevance is specific
Four dimensions narrow the opportunity.
The business area
Lending, trading, field operations or clinical work create very different problems even when they share the same functional label.
The team that owns it
Operations, finance, service and HR have distinct owners, measures and constraints. The opportunity must be relevant to their work.
The actual workflow
Value appears at the step where time, error or lost opportunity can change. That is where a use case becomes testable.
How Ascent works
A focused journey to the decision.
Context
Map the industry, domain, function and process that make an opportunity relevant.
Listen
Gather input across stakeholder lenses without convening a room of executives.
Score
Separate evidence, value and feasibility so the ranking can be challenged.
Decide
Bring a prioritised portfolio and next-step cases to an executive readout.
From discovery to readout
Five days with a clear role for people and AI.
The engagement begins with a context pack and a map of the people whose evidence matters. Asynchronous questions reach across functions without requiring a large workshop. The platform draws candidate opportunities from its indexed library, while human owners check what is true in the organisation.
Scoring separates feasibility gates from value bands. Evidence is labelled by source, and costs such as integration, data work and change effort are considered inside the case. The executive readout is a prioritised portfolio with named next decisions, not a list of exciting concepts.
DAY 0
Scope
Agree the business context, respondent map and decision boundaries. Filter the library to the relevant industry, domain, function and process.
DAYS 1–3
Capture
Gather context through stakeholder lenses. Discovery uses five persona modes and 31 routed questions so evidence reaches beyond one executive sample.
DAY 4
Evaluate
Check value, cost, feasibility and readiness. Claims that owners cannot substantiate remain visible as assumptions rather than becoming precise-looking facts.
DAY 5
Decide
Present the ranked opportunities, evidence grades, value bands and owners. Leaders choose which cases move to Alignment, which need another test and which stop.
What leaders receive
A portfolio you can question, own and act on.
The readout is designed around ranked opportunities, value and feasibility evidence, named owners and the next decision for each use case. It establishes a stronger starting point for Alignment and Activation.
The decision package
What should be on the desk at the end.
A fundable few
The shortlist connects each opportunity to a process, business measure and accountable sponsor.
Every number labelled
Measured, attested and benchmarked inputs remain distinguishable so leaders can challenge the case.
Value and total cost
Payback bands and run costs sit beside feasibility, data work and the effort to change the workflow.
A route to production
Integration, monitoring, human review and governance questions are surfaced before a build is approved.
Ascent questions
What leaders usually ask.
The strongest readout makes assumptions easy to inspect rather than asking leaders to trust a black box.
Does Ascent choose our AI investments for us?
No. It structures discovery and scoring. Business and finance owners test the evidence, and leadership makes the investment decision with the assumptions visible.
How does it avoid a generic list of use cases?
It starts from industry, domain, function and process context, then checks candidate opportunities against what the organisation actually does and the evidence its people provide.
Can we challenge the score?
Yes. The evidence grade, feasibility gates and assumptions should be inspectable. An owner can correct an input or ask for a further test before the portfolio is funded.
What happens after the five-day readout?
The selected opportunities can enter an Alignment workshop. There, business, finance and technology owners agree a small funded shortlist and form pods for the first tests.
Start a conversation
Make the shortlist count.
Discuss how Ascent could frame the right AI opportunities for your organisation.
Talk to Fox IT A focused conversation about your goals and constraints.