Every engagement earns the next.

Those tools are only as good as the semantic model underneath them — and by the platform vendors' own admission, building and maintaining that model is the accuracy bottleneck. Someone still has to define the metrics, assign owners, wire the lineage, and prove the answers are right. We build and certify that layer, cross-tool, and leave you an evaluation baseline the platforms don't produce. If your environment is already governed, the audit will tell you so — and we'll say the platform tools may be all you need.

Often you should — and if that's the right answer, we'll say it on the first call. An engagement isn't a substitute for the hire; it's the sequencing that makes the hire succeed. The governed layer gets built now, at fixed scope, documented in your repos, and when the time comes to bring in a full-time leader, the handover is part of the work — so they inherit a working system instead of an archaeology project.

The pilot (from $25K, 4–6 weeks) is deliberately bounded: one channel — Slack or Teams — a defined set of approved question domains, mandatory human review, and an evaluation baseline that scores every answer. The full build (from $60K, 8–12 weeks) extends coverage, hardens the access model, and adds team enablement. Most organizations should start with the pilot; the evaluation results tell you whether to go further.

The practice is built for that question. Every engagement is documentation-first: definitions, decisions, and code live in your repositories from week one, not on our laptop. Concurrent engagements are capped — two to three retainer seats, one build at a time — so committed timelines are real ones. If we can't start when you need, we'll say so before you sign, not after.

NDA before anything else, as standard. Work happens inside your tenant, on credentials you provision and can revoke — read-only wherever the work allows it. Deliverables live in your systems; no client data leaves your environment. For regulated contexts we'll walk your security team through the access model before an engagement starts.

Everything. The roadmap is written to be executable by your team, another firm, or us — whichever you choose. If the audit is the only engagement we ever do together, it should still have paid for itself.

Not by pointing an embedding search at your document pile. Governed metric questions resolve by structured lookup against the certified registry and semantic layer — the copilot fetches the approved definition and value, it doesn't paraphrase a PDF. Embedding retrieval is used only over approved narrative knowledge (documented caveats, glossary context), never as the source of numbers. Guardrails sit at three layers: retrieval scope (only certified content is reachable), answer patterns (approved templates that cite their sources), and human review before anything reaches a decision-maker.

Yours. The practice runs deepest in Snowflake and BigQuery, dbt, Power BI and Tableau, Salesforce, and Slack or Teams. Definitions ship as code in your repo — dbt-compatible YAML — and dashboards get certified in the BI tool you already run, not migrated to one we prefer.

No — it's an analytics outcome. Governed here means one definition per metric, a named owner for each, lineage you can trace, and an evaluation harness that proves your AI's answers match them. If you need an AI-ethics or regulatory-compliance audit, that's a different discipline and we'll happily say so.