Operating scope
Name users, triggers, inputs, systems, decisions, outputs, exceptions, volumes, service window, current baseline, and accountable owner.
Enterprise AI procurement
What should an enterprise AI RFP require?
A useful RFP describes the operating decision and evidence required—not a shopping list of AI features. Give vendors representative scenarios and constraints, require testable responses, expose full lifecycle cost, and make ownership, acceptance, handover, and exit explicit before proposals are compared.
By Onyx Devs Lab · Published · Updated
OutcomeNamed workflow, users, baseline, and decision
EvidenceRepresentative tests and mandatory gates
CommitmentCost, ownership, acceptance, handover, and exit
Specify the work before the technology
Vendors cannot price or design responsibly when the request hides the real workflow and consequences.
Data and authority
Describe source systems, sensitivity, residency, identity, tenant boundaries, permitted reads and writes, approval points, retention, deletion, and prohibited actions.
Required integrations
State supported interfaces, system-of-record rules, environments, network constraints, audit events, state verification, migration dependencies, and who owns each endpoint.
Make proposals comparable and enforceable
Ask for evidence and contractual boundaries that survive beyond a demonstration.
Evaluation and acceptance
Provide representative common, edge, missing-data, adversarial, and high-impact cases; define metrics, thresholds, mandatory failures, retest rules, and sign-off owners.
Delivery and operations
Require milestones, dependencies, staffing, security review, change control, monitoring, incident response, support levels, cost controls, recovery, and rollback.
Commercial and exit terms
Separate discovery, build, licences, models, infrastructure, integration, operations, and change costs; define IP, data use, artefact ownership, portability, transition help, and deletion evidence.
How to issue a comparable AI RFP
Issue a structured context pack
Provide the workflow map, constraints, representative scenarios, data inventory, architecture boundary, decision owners, and unanswered questions.
Use a response matrix
Require each bidder to mark requirement, approach, evidence, dependency, exclusion, price basis, owner, and contractual status.
Run an evidence workshop
Test critical claims against supplied scenarios with business, engineering, data, security, legal, finance, and operations present.
Contract the acceptance path
Attach stages, deliverables, gates, change rules, payment triggers, service responsibilities, handover, and exit to the agreement.
Frequently asked questions
Should the RFP prescribe a model or cloud?
Only when an existing constraint genuinely requires it. Otherwise define outcomes and boundaries, then ask vendors to justify the architecture and switching path.
Is a polished demo enough to shortlist?
No. A demo can support discovery, but comparison should use representative inputs, reproducible evidence, disclosed dependencies, and lifecycle cost.
What should be priced separately?
Discovery, implementation, third-party licences, model usage, infrastructure, integration, migration, support, monitoring, change requests, training, handover, and exit.
Start with one concrete operating problem.
We will first clarify the workflow, evidence, data boundary, and outcome standard before recommending the next step.
Contact Onyx