Business case template
This template provides a reference structure for an internal business case supporting a Nebbos deployment decision. The Nebbos deployment team will pre-populate sections 01, 02, 03, 04, and 07 for a scoped assessment under NDA on a ten-business-day timeline.
01 · Problem statement
State the operational problem in specific, measurable terms. Identify the affected business function, the volume of the affected work stream, and the observed inefficiency. Committee reviewers evaluate business cases on the specificity of the problem statement; generic problem statements (for example, “improve compliance efficiency”) typically require rework before approval.
02 · Current state
Quantify the baseline before Nebbos deployment. Include operation volume, cycle time (median and 90th percentile), error rate, headcount, external vendor spend, and audit outcomes over the trailing 24 months. Where operational metrics are not currently instrumented, note the measurement gap and propose an instrumentation approach.
03 · Target state
Describe the state after deployment with reference to specific Nebbos surfaces. Department-scoped Pearls with citation provenance address reasoning-reconstruction time. Row-level isolation eliminates cross-system record-location overhead. The audit chain replaces manual evidence-collection cycles. Target metrics should mirror the current-state structure.
04 · Cost
Enumerate one-time and recurring costs.
| Category | One-time | Recurring |
|---|---|---|
| Nebbos platform license | — | Annual, per tier |
| Cradle hardware (Host-tier operators and above) | Once | Rotation every 3–5 years |
| Integration engineering | Once | — |
| Onboarding and training | Once | — |
| Platform administration | — | Approximately 0.25 FTE per 100 operators |
Refer to nebbos.ai/pricing for current tier pricing.
05 · Benefit
Quantify benefit against the current-state baseline. Standard categories include cycle-time reduction (measured hours multiplied by loaded rate and annualised volume), error-cost avoidance (historical error cost against target reduction), audit-preparation time reduction (hours per audit multiplied by loaded rate and annualised audits), regulatory-exposure reduction (measured conservatively against historical fine data), and capacity reallocation (operator hours released to higher-value work). Total quantified benefit divided by cost yields the payback horizon.
06 · Risk
Document material risks and mitigations.
| Risk | Mitigation |
|---|---|
| Vendor concentration | Nebbos publishes a documented, self-verifying portability bundle. Operators may export at any time. |
| Data residency | Deployment-time region assignment; cross-region replication requires explicit approval and is logged in the audit chain. |
| Regulatory drift | Nebbos is being built against EU AI Act Annex IV; substrate updates propagate to the technical documentation pack. |
| Model-provider dependency | Provider selection is per-operator policy; providers are swappable. |
07 · Timeline
The Nebbos enterprise onboarding path executes in six phases over approximately 33 business days from kickoff to production sign-off. See Enterprise onboarding for the phase-by-phase specification, exit artefacts, and per-phase gate criteria.
08 · Decision
The committee-facing decision statement should be a single sentence naming the department, tier composition, one-time cost, recurring cost, and go-live target.
Scoped assessment
The Nebbos deployment team will produce a committee-ready pre-populated business case (sections 01, 02, 03, 04, and 07) against your specific operational profile under NDA. Timeline: 10 business days from initial scoping call. Contact enterprise@nebbos.ai to initiate.