AIOC · OOB monitoring · v1 in development

Deploying AI is easy.
Operating it is the job.

AI Operations Center is the out-of-band command center for your AI fleet. It watches every agent interaction for accuracy, tone, and drift — catches failures and edge cases, hands them to a human with full context, and enforces the permissions and policies your business runs on. Your agents keep working. AIOC keeps them honest — from outside the execution path, so watching never slows the work.

See the live demo → Open Singularity Watch
◈ out-of-band monitoring ◈ human-in-the-loop oversight ◈ governance & risk control
All systems nominal OOB uplink · active Watch level · elevated →
aoc — operations shell
AIOC operations core — chrome diamond core with cyan heartbeat pulse and holographic dashboard panes
The operations core · out-of-band fleet monitoring
Why it exists

Who watches a thousand digital workers?

Deploying AI agents across workflows is becoming easy — operating them reliably at enterprise scale is the real differentiator. Thousands of digital workers make decisions every day. AIOC is the centralized nervous system for that hybrid workforce: the operational backbone that keeps AI reliable, safe, and aligned with business goals once it moves beyond experimentation.

01📡

Monitor

Watch every agent interaction live — accuracy, tone, performance — from outside the execution path. Zero added latency.

02🔍

Detect

Catch drift, anomalies, and edge cases as they happen — before slow degradation becomes an incident.

03🚨

Escalate

Hand failures to a human with full context attached — the customer never has to repeat themselves.

04🛡

Govern

Enforce permissions, compliance, and policy across the whole fleet. Violations never execute.

05🧠

Improve

Human feedback feeds back into prompts and models — every intervention makes the fleet smarter.

Monitoring loop — monitor, detect, escalate, govern, improve
One loop · monitor → detect → escalate → govern → improve

aoc fleet status: monitor → detect → escalate → govern → improve — every interaction, out-of-band, forever.

Surfaces

Every surface your agents touch. Watched.

Five first-party surfaces, wired for oversight. Every agent action on these channels is monitored, logged, and governable — from outside the execution path.

Five messaging channels converging into the chrome diamond core
Every channel · under watch

Google Workspace

Every agent email and calendar action on your Workspace — monitored for tone, accuracy, and policy, before and after it sends.

Email

Any IMAP/SMTP mailbox becomes a watched surface — agent drafts flagged, exceptions escalated, everything logged.

Telenyx SMS

Two-way texting under oversight. Inbound exceptions page the on-call; outbound agent replies carry a full audit trail.

Telegram

A conversational command line for the command center — review flagged cases, approve interventions, steer the fleet.

WhatsApp

Meet the fleet where your team already talks. Flagged interactions surface with full context for human review.

Connector details →
Monitoring packs

Teach it what to watch.

Monitoring packs built on the Model Context Protocol. Install one and the command center gains a new sense — drift detection, tone scoring, policy enforcement — no core changes required.

Mosaic of MCP skill capability cards linked to the loop
Teach it what to watch
pack · monitoring

drift-watch

Tracks model accuracy over time and flags drift before slow degradation becomes an incident.

aoc pack install drift-watch
pack · quality

tone-guard

Scores every agent reply for tone and accuracy — anything off-brand routes to human review, not to the customer.

aoc pack install tone-guard
pack · escalation

exception-router

Catches failures and edge cases, then hands them to a human with the full conversation and state attached.

aoc pack install exception-router
pack · governance

policy-enforcer

Verifies every agent action against permissions and compliance policy. Violations never execute — they're logged and flagged.

aoc pack install policy-enforcer
pack · audit

incident-scribe

Writes a complete record for every intervention: what happened, what was decided, and why — audit-ready.

aoc pack install incident-scribe
pack · custom

yours.py

Packs are just code with a manifest. Encode your own oversight rules in an afternoon and the fleet adopts them like natives.

aoc pack new my-pack
How to write a pack →
Intervention

Governance you can toggle.

Every agent capability ships behind a flag — autonomy levels, escalation thresholds, compliance modes. When behavior drifts, a human flips a switch and the fleet complies immediately — enforced out-of-band. Try the demo:

agent.autonomyHow far an agent may act before a human must approve
policy.strictCompliance mode: every action verified against policy
escalation.smsUrgent exceptions page the on-call via Telenyx SMS
drift.autoquarantineAgents drifting past tolerance pause themselves automatically
audit.verboseFull decision traces recorded for every agent action
3 / 5 guardrails live · change ships instantly, no redeploy, no downtime

Package governance like product tiers.

Flags aren't just on/off switches — they compose into oversight editions. Bundle autonomy levels, escalation rules, and audit depth into a named policy, hand it to a team, and let them operate inside guardrails without touching the deployment.

  • ▸ Roll out oversight gradually — per agent, per team, per channel
  • ▸ Kill-switch any behavior instantly if it misbehaves
  • ▸ A/B two autonomy levels on different flag sets
# governance changes apply instantly, out-of-band
aoc flag set agent.autonomy supervised --team support
✓ live immediately · no redeploy
Feature flag control plane with chrome toggles and cyan active states
Intervene instantly · no redeploy
The foundation

Powered by Cornerstone + Cadence.

AIOC didn't start as a product — it started as infrastructure. Cornerstone, the distributed cognitive-bus infrastructure (17 IRQ-mapped channels, event-driven DAG scheduler, FastAPI control plane), and Cadence, the deep-research agent, are the side projects underneath it all. AIOC is what they grew into: the out-of-band monitoring and governance layer that watches the whole fleet.

Cornerstone architecture — chrome foundation platform with 17 channels converging into the cognitive hub
Cornerstone · the distributed cognitive bus
bus

Cognitive event bus

NATS + Redis replicated bus with IRQ-aware routing, priority-heap dispatch, and backpressure. Optional heavy dependencies degrade to deterministic numpy fallbacks — the bus keeps working offline.

channels

17 IRQ-mapped channels

Video, audio, text, memory, cognition, control, intercom, broadcast, admin hardstop, telemetry, dream, introspection, semantic, health — prioritized preemption with an unmaskable NMI hardstop.

scheduler

Event-driven DAG scheduler

Topological execution with Redis-persisted runs, timeout/retry, and pipeline / fan-out / fan-in / map-reduce topologies. Register a graph, execute, track status.

memory

Hybrid memory layer

Vector store, hot cache, stream log, and hybrid dense + BM25 retrieval — backed by real, numerically validated ANN algorithms (HNSW, IVF, PQ, k-d tree, RRF ensemble).

control plane

API + dashboard

FastAPI REST routers, WebSocket handlers, and gRPC servicers, plus a React dashboard with channels table, agent deploy form, DAG panel, and live telemetry.

verified

Tested, not promised

26/26 unit tests green, 34/34 core modules importing with zero third-party dependencies, and a full offline smoke test — bus pub/sub, IRQ hardstop preemption, DAG execution, agent lifecycle — all green.

# Cornerstone — autonomous multi-modal AI agent infrastructure
make setup && make start # API on :8000 · /docs
Singularity Watch

The public threat map for the age of agents.

Rogue behavior, drift outbreaks, prompt-injection waves, policy violations — tracked live, as the command center sees them. This is what out-of-band oversight looks like from the outside.

Current watch level
ELEVATED
Open the threat map →
Services

Software, consulting, infrastructure.

Some teams want the platform. Some want us in the room. Some want the whole stack on their own metal. AIOC is all three.

platform

The command center

The product: out-of-band monitoring, exception handling, governance, and human-in-the-loop oversight for your agent fleet. Self-host it, or use our managed console.

See the live demo →

consulting

Fleet audits & oversight design

We find where your agents are flying blind: monitoring architecture, escalation policy, drift baselines, incident response. Engagements scoped to your fleet, not a template.

Start a conversation →

infrastructure

Sovereign deployment

The full stack on your hardware or your cloud — your agents, your data, your building. We deploy it, harden it, and hand you the keys.

Start a conversation →

Deploy in minutes

From zero to full visibility in three steps.

No infrastructure to provision, no pipelines to wire. AIOC sits out-of-band — you bring the agents and the intent.

01

Connect

Point AIOC at the agents and channels you want watched: your agent fleet, Google Workspace, inboxes, messaging. OAuth and API keys, guided in the setup flow.

~2 min
02

Define policy

Set permissions, escalation thresholds, and autonomy levels from the control plane. Everything is no-code — governance as configuration.

~5 min
03

Watch

The command center lights up: live fleet status, drift tracking, and human-ready escalations — all out-of-band, zero added latency.

~1 min
Agent launching from a chrome diamond core above a glowing cyan launch ring
From zero to full visibility · minutes
Pricing

Start solo. Scale sovereign.

Three editions, one command center. Every tier includes out-of-band monitoring, monitoring packs, and intervention flags — you scale agents, surfaces, and control.

Builder
$29/mo

For individuals putting their first agent fleet under watch.

  • 1 agent fleet under watch
  • 2 watched surfaces
  • Community monitoring packs
  • Intervention flags, personal scope
  • Community docs & guides
Compare tiers
Most deployed Team
$99/mo

For teams keeping every agent under human oversight.

  • 5 agents under oversight
  • All 5 watched surfaces
  • Private pack registry
  • Flag packages & staged rollouts
  • Shared incident history
  • Priority support
See the live demo
Scale
Custom

For organizations running agents as infrastructure.

  • Unlimited agents & loops
  • Custom connectors & SSO
  • Self-hosted control plane
  • Audit logs & policy guardrails
  • Dedicated infrastructure review
Talk to us

Pricing is positioning for early access and may change before general availability.

Docs

Learn the loop.

Getting-started guides that grow with the platform. Docs are expanding alongside early access.

start here

Quickstart

Connect your first agent fleet, define your first policy, and watch the command center light up — in under ten minutes.

Read the quickstart →

deep dive

The monitoring loop, explained

Monitor, detect, escalate, govern, improve — how the command center watches the fleet, handles exceptions, and keeps humans in charge.

Read the deep dive →

build

Writing a monitoring pack

The anatomy of a pack: manifest, detectors, and escalation rules — plus a worked example you can adapt.

Read the guide →

operate

Surfaces & intervention flags

Wire up each watched surface and package agent behavior with flags — rollout strategies included.

Read the guides →

Early access

Put your AI workforce
under command.

Join the waitlist and we'll reach out as early-access slots open. No spam — just the command center, the docs, and a way in.
For consulting or infrastructure engagements, say so in your email — those are scoped per project.

✓ You're on the list. We'll email when your early-access slot opens.

Early access · docs expanding · v1 is a marketing preview, not a live product