Seven capabilities, one governed spine. Each card states its maturity honestly — the same status taxonomy GAIA applies to its own outputs.
In business terms
| Capability | Business outcome |
|---|---|
| Ask GAIA — cited search | Find anything across Slack / Drive / Notion / Gmail in one question — with sources, not guesses. |
| Company memory | Knowledge stays in the company — structured, permissioned, and still there when people leave. |
| Morning brief | Every team starts the day aligned on what changed and what matters. |
| Cost orchestrator | One invoice instead of four subscriptions; tier-aware routing cut AI spend −41% in pilot. |
| Supervised agents | Agents prepare and suggest; a human validates. Drafts, never surprises. |
Human-facing AI workspace with proof-backed answers. Ask, delegate and review work — every answer carries its proof chip.
Programmable orchestration layer for AI workflows. Send an envelope, receive a governed, proof-labeled output.
Tenant-scoped memory retrieval with trust boundaries. Recalled items are trust-labeled; secret-looking content is redacted by policy before it can reach a prompt.
Proof IDs, status labels, blockers and traces on every output. The audit trail is generated by the pipeline itself — not reconstructed after the fact.
Policy-aware routing across approved model tiers — fast classifiers for gates, workhorses for execution, frontier models only where justified. The right capability per request, not the biggest bill.
Human-in-the-loop control for sensitive actions. External sends, economic actions and deployments stop and wait — autonomy is granted per workflow, by a human.
Custom workflow mapping for enterprise teams. One team, one workflow, 2–4 weeks — ending with a proof-backed demo and a cost/latency/proof report.
Most teams start with one painful, repetitive workflow — and a proof report at the end of week two.