Otter lab
Book a walkthrough
Governance for agents that act

Smart enough.
Cleared to act.

Otter Lab is the control plane for enterprise AI agents — permissioned tool-use, a full audit trail, deployable today.

Book a walkthrough See the audit trail

Read is governed  ·  Write is permissioned  ·  Everything is logged

Sea otters hold hands so the current can't carry them apart.

That's the idea. Your AI, your people, and your tools — holding on, cracking open the stuck step, together.

Why now

Your AI pilot worked.
It still didn't ship.

The moment an agent can read internal data and take real actions, it becomes ungovernable with today's tools — no permission boundaries, no confirmation gates, no audit trail. So security, legal, and compliance say no, and the demo dies in the sandbox. The blocker was never the model. The market is racing to make agents smarter; no one is making them deployable. That gap is where every stalled pilot dies.

  • What kills the pilotgovernance, not the model
  • Why reasoning agents fail reviewungoverned tool-use
  • The missing layerthe control plane
  • Why now, not last yearcapability outran governance

The moat · the control plane

The moat is the control plane,
not the model.

Models commoditize. Governance is where the switching cost lives. Otter Lab wraps your internal systems into tools the agent can use safely. Every call is permissioned. Every action is logged. Every consequential step waits for a human. The same governed agents are then shared across departments and scoped by role.

Permissioned tool-use · Confirmation gates · Append-only audit trail

refund_order(#4821) $7,749
  1. knowledge tool read-only RAG lookup
  2. permission finance-tier-1 · pending
  3. tool executed —
awaiting governance

Every action is permissioned and logged. Nothing happens off the record.

The product

Shipping today. Not on a roadmap.

Knowledge, as a tool

Live

Read-only RAG the agent calls on demand — retrieval can read but never write.

Actions, permissioned

Live

Internal systems wrapped as scoped tools, gated by policy and confirmation — every call logged.

Workflows, as cards

Live

Repetitive operations become triggerable, auditable nodes — single or multi-step.

Deployment, anywhere

Live

Run it in our cloud, your VPC, or fully on-prem — embeddable Widget Studio plus one admin console.

The shared ecosystem

Shared across teams.
Scoped to the person.

A governed AI-agent ecosystem lets every department share one agent while access is scoped by org, department, role, or individual. Read is governed · Write is permissioned · Everything is logged. Every agent your teams build lives in one governed ecosystem — not scattered across disconnected tools. Build once; every team builds on it.

Share across departments

Build an agent once and share it org-wide — every team builds on the same governed ecosystem.

Scope by department, role, or person

Each agent's access is scoped from your SSO groups — by domain, department, and role.

Org-wide Department Role Individual
Map your org's access

Scopes are enforced in the governance layer — between any model and your systems.

shared agents · access closed loop
  • HR Assistant All staff
  • Finance Copilot Finance
  • Refund Agent Support · Tier-1+
  • Legal Reviewer Legal · 3 people
Access mapped from your SSO — by domain, department, and role.

Security posture

Built for the CISO's first question,
not the demo's last slide.

Permissioned tool-use

Least-privilege per action. The agent gets exactly the scope a policy grants — nothing more.

Confirmation gates

Consequential actions wait behind an explicit approver before anything executes.

Append-only audit trail

Every call, every approver, every timestamp — append-only and readable for diligence.

Read-only knowledge boundary

Retrieval reads; it cannot mutate state. The knowledge boundary is read-only by design.

Data stays in your perimeter

Self-host in your cloud, VPC, or air-gapped — prompts, knowledge, and logs stay in your perimeter.

Open-weights, self-hosted

Run open-weights models yourself — no prompts or data sent to a third-party model vendor.

Architecture

A horizontal layer between
any model and your systems.

Any model Claude · GPT · open weights — API or self-hosted
OTTER LAB GOVERNANCE LAYER permissions · confirmations · audit · RAG-as-a-tool · workflow cards
Your systems ERP (SAP) · CRM · billing · internal APIs · knowledge
SaaS cloud Your private VPC On-prem · air-gapped

Model-agnostic and deployment-agnostic by design. Swap the model; the governance layer stays.

Global reach

Built global, not localized later.

Shipping in eleven languages across Asia, Europe, the Americas, and the Middle East — with full right-to-left layout for Arabic and Hebrew. The locales enterprise buyers in those markets actually require, built in from day one.

Approved agent action audit trail
APPROVED · alice@acme · 14:22:07 · policy:finance-tier-1 · logged ✓

Arabic and Hebrew mirror the whole interface. The flip itself is the proof.

Otter lab
Innovation & Code

Brand story

Built to hold.

Otters hold hands so the current can't carry them apart — and crack open shells, together.

We built Otter Lab to make your AI, your people, and your tools collaborate the same way — cracking open, together, the step where enterprise AI gets stuck. The product is a governance layer. The reason it exists is collaboration that holds.

  • Read is governed
  • Write is permissioned
  • Everything is logged

Every "can we automate this?" becomes a governed, auditable workflow you can stand behind.

Crack it open with us — book a walkthrough