[ implementation · small organizations ]
Implement one accountable workflow before buying an AI program.
For a small organization, the strongest early use case is often administrative and reviewable: intake triage, internal search over approved documents, structured extraction, first-draft support, or quality checks. It should have an owner, a baseline, and a safe fallback.
The operating brief
Workflow
Name the current handoff, decision, and pain point—not merely the department.
Authority
Name the person who accepts output, corrects errors, and can stop the pilot.
Data boundary
List allowed sources, prohibited inputs, retention, access, and any external processor.
Architecture
Document what runs on the device, in a managed service, or in both; include integrations and telemetry.
Success and stop conditions
Set a quality threshold, response-time target, budget ceiling, error limit, and conditions that pause use.
Do not confuse location with governance
A model on a laptop can still expose data through sync, logs, exports, unmanaged accounts, or a compromised device. A cloud service can still be governed well or poorly depending on contracts, configuration, identity controls, retention, and review. Map the whole system.
Budget the lifecycle
Include time for validation, user training, device eligibility, access controls, model or prompt changes, support, incident response, and exit. A low per-request price or a downloaded model is not a total cost of ownership.
Review before scale
Compare the pilot against the old workflow using representative cases. Inspect output errors, exceptions, human review time, data movement, actual spending, availability, and user impact. Keep a written decision record: continue, change the boundary, or stop.
[ MPS implementation library ]
Choose a boundary, then test it.
Decision framework
Compare privacy, capability, cost, latency, resilience, and device fit.
On-device vs cloud
The canonical workload-level deployment comparison.
Individuals
Choose a bounded, reversible personal workflow.
Schools
Plan classroom use with student-data and access boundaries.
Small organizations
Start with a managed, testable operational use case.
Developers
Build and measure a local, cloud, or hybrid boundary.
Glossary
Plain-language deployment and provenance terms.
Methodology & sources
What this library measures, assumes, and does not claim.