AiOS · Decision Intelligence Engine

Give your organization
a brain.

The know-how that runs your company is scattered across Slack, tickets, wikis — and people's heads. AiOS pulls it into a living company brain, compiles it into an executable skills file, and lets AI agents do the work — safely, consistently, measurably.

0 hrs
saved / month
$0k
saved / year
0%
policy adherence
0
live connectors
How it works

From scattered know-how to executable intelligence

Four stages, one pipeline. Your company's operating knowledge becomes something AI can actually run.

01

Ingest

36 real connectors pull knowledge from Slack, Zendesk, Jira, wikis, databases — and interviews capture what only lives in people's heads.

02

Structure

Every fragment is distilled into a skill: trigger, ordered steps, required inputs, and the guardrails that keep it safe.

03

Compile

The brain emits one executable skills file — JSON, YAML or Markdown — the single artifact your AI agents consume.

04

Execute

Agents run skills in a safe runtime: inputs validated, guardrails enforced, humans approving where policy demands.

Platform

Everything between raw data and reliable automation

Company Brain

A living map of how your company actually works — refunds, pricing exceptions, incident response — structured, owned, and kept current.

Real connectors

Credentialed, tested, live API connections — curated adapters, a generic REST adapter, and full OAuth 2.0. Secrets never leave your server.

Executable skills file

One canonical artifact AI agents consume — versioned, exportable, served live from the brain at a single endpoint.

Safe agent runtime

Agents validate inputs, honor every guardrail, and pause for human sign-off where the company requires it. Same skill, every time.

Business outcomes

Hours and dollars saved, automation coverage, policy adherence — computed live from the brain and fed into your performance index.

Audit & governance

An append-only audit trail of who changed what, when — plus credential lifecycle management from a dedicated admin console.

The artifact

One file your agents can run

  • Trigger-aware. Every skill declares when it applies — agents act only in context.
  • Guardrails built in. The rules ride with the skill, not in a wiki nobody reads.
  • Approval gates. Where policy demands a human, the agent stops and asks.
  • Confidence & freshness. Stale or low-confidence knowledge is flagged before it misleads an agent.
company-brain-skills.jsonlive · /api/brain/skills-file
// compiled by the Company Brain
{
  "name": "Handle a customer refund",
  "when": "refund requested ≤ 30 days",
  "inputs": ["order id", "reason"],
  "steps": [
    "Verify order in Stripe",
    "Check policy eligibility",
    "Issue refund if < $200"
  ],
  "guardrails": [
    "Never refund > 90 days old"
  ],
  "requires_human_approval": false,
  "confidence": 92
}
Measured, not promised

Outcomes your CFO can audit

Computed live from the brain — per-skill economics roll up to hours, dollars, and a lift to your Enterprise Performance Index.

0
hours returned to the team
PER YEAR
$0k
labor cost saved
PER YEAR
0%
of recurring decisions agent-runnable
AUTOMATION COVERAGE
+0
Enterprise Performance Index
AND CLIMBING
Enterprise-grade by default

Built for the teams who say no

Server-side credentials

Connector secrets are stored on your server and never returned to the browser.

Append-only audit

Every sync, test, revoke and skill change is recorded — filterable and exportable.

Guardrails enforced

Policy rides with every skill — agents can't skip the rules the company set.

Humans in the loop

Approval gates pause the agent wherever your policy demands a person decide.

Your company already knows
how to run itself.
Now your AI does too.

Open the console, connect a system, and watch scattered knowledge become an executable brain.

inside the console, press ⌘K to go anywhere