Four situations we handle

Several business applications deployed by hand, by different people, with procedures that diverged from one team to the next.

Every release took half a day and two people, and nobody could say with certainty what was running in production.

• End-to-end continuous delivery pipeline, one single procedure
• Reproducible environments, staging-to-production drift removed
• Existing systems taken over without an application rewrite
• Gradual handover: the internal team runs it by the end of the engagement

Large internal documentation, spread across several repositories, with uneven access rights.

The existing search returned superseded documents alongside current ones, and enforced access rights only at display time.

• Connectors to internal sources, carrying document status and date
• Access rights filtered at retrieval, not at display
• A relevance evaluation set, run on every release
• Measurement of unsourced answers — the missing indicator

A volume of repetitive requests handled manually, with tedious upfront qualification.

Early automation attempts produced convincing demos and nothing usable: no trace, no guardrails, no way to know whether the output was right.

• Agent wired to existing systems, writes in dry run by default
• Human approval on every irreversible action, with a decision history
• Observability: cost per run, failure rate, latency
• A scenario suite with expected verdicts, run in continuous integration

A platform built by a previous supplier, in production, with no operating documentation.

Incidents were handled case by case, without monitoring or a formal on-call rota, and infrastructure cost mapped to no particular usage.

• Mapping of the existing system and operating documentation
• Monitoring on business indicators, not just technical ones
• Service level commitments and on-call
• Cost control: what costs money is tied to what it serves