We're not consulting. We're not software. We're an operating layer that transforms how decisions are made, executed and reviewed — combining AI agents, a company-grounded knowledge base and committee cadence.
For the first time, the marginal cost of reasoning over an enterprise's internal data has dropped to near zero. That reopens an old question: what separates companies that present management — in decks, in committees — from those that actually operate management every day, in every process?
Three curves crossed in 2024–2026: model capability for reliable reasoning over private data, a 30× drop in inference cost, and a settled regulatory environment (EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD). The window is narrow. Compounding AI advantage is mathematical: every initiative makes the next one cheaper and more accurate. By 2027, every relevant company will have its version. Now is the window.
Monetization model: Land & Expand (low-friction entry) + Outcome-based (recurring fee tied to KPI moved). Absolute pricing on request — we qualify before we quote.
For: CEO/COO of R$ 80M–800M companies starting structured AI journey.
What: Maturity diagnostic across 8 Clareo pillars + Company Brain.
Deliverables: Score per pillar, prioritized roadmap, business case, embryonic committee charter.
For: Companies that validated the diagnostic and want context infrastructure before use cases.
What: Build the cognitive substrate (Company Brain) in Notion, populated with 4 blocks.
Deliverables: Auditable Notion workspace, taxonomy, declared owners, MCP connected, ≥3 pilot agents querying the Brain.
For: Companies that need to turn scattered AI initiatives into governed operation.
What: Implementation and assisted operation of the AI Committee with bi-weekly/monthly cadence.
Deliverables: Approved charter, AI policy v1.0, prioritized backlog, 6 minutes, committee KPI dashboard.
For: Companies with Company Brain and Committee operating, ready to scale use cases.
What: Build, deploy and operate specific agents per use case, reusing the Clareo Agent Library.
Deliverables: Agent in production, runbook, declared owner, quality and cost metrics, audit trail.
For: Boards or C-level needing governance coverage BEFORE (or in parallel with) use cases.
What: Institutional governance pack: policy, charter, taxonomy, audit trail, LGPD-by-design.
Deliverables: Board-approved documental pack, 4-hour C-level training, incident response checklist.
In any industry where customers entrust sensitive data to the company, the trust boundary is the first design constraint of any AI-powered product. Three practical implications for Clareo Labs:
Framework alignment: NIST AI RMF · ISO/IEC 42001 · EU AI Act · OECD AI Principles. Detailed mapping available in the PT version (/trust).
Clareo Labs does not scale by volume. We work with a few companies at a time, in deep cycles. The first filter is thesis compatibility — that's why we ask for an initial qualification.