AI readiness
Understand the operating context, evidence gaps and process conditions that should shape AI investment.
Iris use cases
Start with the work or decision you need to understand.
Use cases are organised in two ways. Transformation work covers the type of question the engagement is answering: AI investment, PoC readiness, process redesign. Processes cover the operational domain, meaning the specific workflow Iris is used to understand.
Transformation work
Transformation work covers the type of question the engagement is answering: where AI should go, whether a PoC is ready to build, how a process should change.
AI use-case analysis
Evaluate candidate AI use cases against the evidence of how work actually happens, not against assumptions or workshop priorities.
Proof-of-concept scoping
Establish what is known, what remains uncertain, and what improvement the PoC is expected to produce before committing to build.
Process redesign
Expose handoffs, variants and workarounds that the future-state design must address.
Processes
Process use cases cover the operational domain: sales, complaints, triaging, supplier onboarding, finance. The same Iris discovery method, applied to a specific workflow.
Supplier onboarding
Supplier onboarding often stalls on information requests, approval queues and manual coordination between teams that have different definitions of 'ready'.
Book a demo to discuss your supplier onboarding context. →Finance operations
Finance approvals, reconciliation and manual controls hide significant cycle time. Iris shows where exceptions and workarounds accumulate before they affect reporting or cash flow.
Book a demo to discuss finance operations. →