ENTERPRISE INTELLIGENCE
Български · All materials · Download PDF
From one workflow to a maintained system.
Every phase ends with evidence, an accountable owner, and a decision. Expansion follows proven usefulness and controlled risk.
1. Discover and define
Interview the process owner and users. Map the current workflow, repeated friction, sources, exceptions, and approval points. Agree a baseline, value hypothesis, data owner, and stop conditions.
2. Design and assess
Map trust boundaries and roles, choose the deployment model, assess data quality and model licenses, and document assumptions. Agree the retrieval strategy, retention, monitoring, and backup responsibilities.
3. Build a bounded pilot
Use approved representative data in an isolated environment. Integrate identity, access filtering, citations, and audit events early. Bound inference cost and time. Keep human approval for consequential actions.
4. Evaluate and decide
Use held-out Bulgarian/English questions and domain reviewers. Measure source support, refusal on inaccessible documents, task completion, latency, and cost. Record errors and unresolved risks; decide whether to extend, revise, or stop.
5. Deploy and hand over
Validate the target environment, migrations, recovery, account provisioning, logging, and incident contacts. Train administrators and process owners. Release only after agreed acceptance and explicit launch approval.
6. Operate and improve
Review drift, data changes, permissions, failed requests, dependencies, and model updates. Re-run evaluation before changing models or retrieval settings. Maintain a change log and review service scope against actual use.