A useful BCM software RFP turns the organization’s continuity operating model into measurable requirements. Avoid hundreds of vague yes/no questions. Separate mandatory, desirable and future needs and require evidence for the workflows and controls that matter most.
What this means in practice
Ask vendors to state whether each requirement is out-of-box, configurable, custom development, dependent on a third party or roadmap. Then validate high-risk responses through a common demonstration or proof of concept instead of relying on written “compliant” answers.
Decision and evidence map
| Area | Practical question | Evidence |
|---|---|---|
| Functional | Can BIA, dependencies, plans, exercises, suppliers, actions and reporting work end to end? | Scripted POC with sample data |
| Identity/access | How do SSO, MFA, roles and organization-level restrictions work? | Live role-segregation test |
| Integration | What APIs, webhooks, service accounts, retries and error logs exist? | API docs and sample flow |
| Data/security | What are residency, encryption, retention, backup, restore and export controls? | Architecture and contractual evidence |
| AI | Where are models hosted and how are data permissions and human review enforced? | Model/data-flow diagram and grounded test |
| Implementation | Who configures, migrates, tests, trains and supports the system? | Delivery plan, RACI and acceptance criteria |
Practical implementation checklist
- Require configurable organization, service/process and location hierarchies.
- Define BIA impact/time-band/recovery-objective and approval requirements.
- Require dependency mapping across systems, suppliers, sites, data and services.
- Specify plan versioning, reuse of governed data, activation and offline/export needs.
- Include exercise objectives, injects, observations, actions and closure evidence.
- Ask for dashboards that show requirement-versus-capability, not only completion.
- Specify SSO/MFA, granular authorization, audit logs, encryption and retention.
- Define integrations, migration, environments, support and upgrade responsibilities.
- For AI, require permission-aware retrieval, data-boundary disclosure, human review and safe fallback.
Worked example
For vendor demos, provide the same acceptance script: onboard a service and owner, complete a BIA, map a supplier and application, approve recovery requirements, expose a gap, update a plan, create an exercise action and display the gap to an executive user. Score the observed workflow and evidence rather than presentation quality.
Common mistakes
- Allowing vendors to define what “configurable” means without acceptance criteria.
- Treating every requirement as equally important.
- Using vendor-specific terminology that prevents fair comparison.
- Ignoring data export and exit capability.
- Leaving integration, AI consumption or implementation services out of total cost.
Governance, review and improvement
Use weighted scoring with mandatory thresholds for security and critical functional fit. A typical model might separate functional fit, architecture/security, usability/configurability, implementation/migration, reporting/data and total cost. Publish the scoring method before final demonstrations and retain decision evidence.
Frequently asked questions
How many RFP requirements should there be?
Enough to distinguish the needed operating outcomes without creating repetitive lines; focus detailed acceptance criteria on high-risk workflows.
What does configurable mean?
Define which changes authorized administrators can make without vendor code and how those changes are governed and preserved through upgrades.
How can vendors be compared fairly?
Use the same sample data, scripted scenarios, scoring criteria and evidence expectations.
Should AI be a separate section?
Yes when relevant, covering use cases, model/data processing, permission enforcement, human approval, logging and fallback.
Should price be scored separately?
Usually yes. Confirm mandatory fit and security first, then compare transparent multi-year total cost and commercial assumptions.