The layer underneath the dashboard

A control tower is only as good as the runtime beneath it.

Every major vendor now ships an AI control tower: an inventory of your agents and a wall of dashboards. They are genuinely useful, and most enterprises should have one. But a tower reports on a runtime it does not own — so it can tell you an agent misbehaved, and not that the agent was stopped, or that its budget held, or that the identity which acted was really that agent. That layer is what we build.

"AI control tower" and "agentic control tower" are not the same product

The distinction is what is being governed. AI governance grew up around models and applications — artefacts that sit still, get reviewed, and get approved. Agents do none of that: they act, they delegate, they call tools, and they spend money, continuously, between reviews. Governing an actor is a different problem from cataloguing an artefact.

By 2027, Gartner expects 40% of enterprises to demote or decommission autonomous AI agents — because of governance gaps discovered only after a production incident. Their prescription is not more governance. It is calibrated governance: uniform rules fail in both directions, over-restricting what should ship and under-restricting what should not. — Gartner, May 2026

Where we sit

We are not asking you to replace your tower. We are the layer it is missing — and we can feed it.

Your control tower

Inventory, dashboards, workflow, reporting

Whatever you already run — the enterprise-wide view your CIO and CISO look at, wired into your ITSM and your GRC process. Keep it.

MeetLoyd — the agentic control plane

The runtime that can actually act, and prove it did

Identity minted per agent. Policy proven before a deploy runs. Budgets that block the call. Egress contained, so an agent reaches only the destinations you allow. A stop that is checked on every call. Evidence signed with a key your auditor can verify independently — and exported straight into the tower above, so its dashboard finally rests on something provable. And it holds at fleet scale: one governed operation — pause, budget, re-model, reassign, contain — acting on hundreds of agents at once, each change previewed, audited and reversible.

Anyone can send data to a control tower. Only the runtime that actually enforced the controls can sign for them.

The six dimensions, honestly scored

This is the capability map buyers ask for. Where something is on our roadmap rather than shipped, it says so — you will find out either way, and we would rather you heard it here.

AI FinOps

Cost per model, provider, agent, team, workspace and project — and budgets that stop the call rather than emailing you afterwards.

  • ✓  Per-call metering, BYOK vs platform split
  • ✓  Budgets: block, throttle, escalate
  • ✓  Showback and chargeback by entity

Observability

Performance and reliability, plus forensic replay of any incident on a tamper-evident record.

  • ✓  OpenTelemetry, Prometheus, Grafana
  • ✓  Forensic replay on a hash-chained trail
  • ✓  Statistical behaviour verification
  • ◐  Semantic hallucination detection — roadmap

Portfolio

A live inventory of every agent, with an accountable human on each.

  • ✓  Live register across your estate
  • ✓  Executable RACI, human accountable
  • ◐  Unified idea→production pipeline — roadmap

Value & ROI

Outcomes measured on the same ledger that bills, so value is attested rather than estimated in a quarterly deck.

  • ✓  Outcome metering on business events
  • ✓  Promised-vs-delivered, payback, NPV
  • ✓  Earned-value budgets per milestone

AI Act & compliance

A register that cannot drift from reality, because it is a projection of the runtime rather than a document someone maintains.

  • ✓  Live AI-system register, auditor CSV
  • ✓  Annex III screening at every deploy
  • ✓  Fundamental-rights assessment (Art. 27), answers mapped to controls
  • ✓  Risk register that populates itself from runtime behaviour
  • ✓  Signed certificates, hash-chained audit
  • ✓  32 regulatory packs mapped

Integrations

Feed what you already own — and discover the agents nobody registered.

  • ✓  SIEM export in CEF, LEEF, OCSF 1.3
  • ✓  ServiceNow and PagerDuty, bidirectional
  • ✓  Microsoft Entra and AWS Bedrock agent discovery
  • ◐  Vertex, Databricks discovery — roadmap
  • ◐  GRC platform connectors — roadmap

Three depths, so nobody confuses seeing with controlling

Every agent in the register carries its depth. That is a deliberately uncomfortable design: it makes visible exactly how much of your estate you can actually stop.

Depth 1

Observed

Discovered and inventoried, classified for the AI Act, evidence generated. You can see it. You cannot yet stop it — and the register says so.

Depth 3

Native

Born here. Cryptographic identity at creation, delegation chains, policy proven before deployment, signed verification certificates.

Most estates start almost entirely at depth 1. That is not a failure — it is the honest starting point, and the only one from which progress is measurable.

Find out how much of your estate you can actually stop

We will run discovery against your estate, show you the register with every agent at its real depth, and hand you the signed evidence pack. If your tower is doing the job, you will see that too.