AI agents for serious teams

Not chatbots.Operatingsystems.

Deploy governed AI agents that classify work, call approved tools, verify outcomes, and leave a forensic trail behind every action. Built for teams that want speed without praying the automation behaved.

Launch an agent ↗See the runbook ↓
SOC 2 ready controlsaudit trailhuman approval gates
001 · Reframe

Most agent demos feel impressive until they touch money, customer data, permissions, or production workflows. Warden is built around the scary parts first: proof, permissions, rollback, escalation, and clear operator control.

Autonomy is only valuable when it can be trusted.

Principle 01

The agent can only use tools you explicitly expose.

Principle 02

Every tool call is attached to a reason, a policy, an identity, and a trace.

Principle 03

Risky work routes to humans automatically — with full context, not a half-baked summary.

002 · New component stack

A control room, not a toy prompt box.

This section replaces the old simple bento with stacked operating layers. It feels more like an enterprise command desk: sharp, expensive, and designed to make the buyer believe there is real infrastructure underneath.

Layer one

Policy-bound tool contracts

Expose tools with typed inputs, spending limits, data access rules, and irreversible-action approvals.

Layer two

Evaluation gates before rollout

Replay your gold-standard cases and compare new agent versions before they ever touch the queue.

Layer three

Human escalation with receipts

The handoff includes source docs, confidence, failed checks, attempted tools, and recommended next action.

Layer four

Audit trail that survives scrutiny

Every run creates a searchable timeline: who triggered it, what changed, why it changed, and what proof exists.

003 · Horizontal runbook

From ticket to outcome — pinned like a cinematic operating sequence.

01 / intake

Classify the work.

The agent reads the event, checks account context, determines risk, and chooses the correct playbook.

02 / context

Retrieve only what matters.

Documents, CRM fields, policy limits, and prior actions are scoped by permission — not dumped into memory.

03 / action

Call approved tools.

Refund, update, draft, enrich, route, schedule, alert. Every tool has a contract and a ceiling.

04 / verification

Prove the result.

The system validates state changes, checks policy, scores the response, and records the evidence.

05 / escalation

Escalate when needed.

When confidence drops or policy triggers, the agent hands the human a complete packet — not a mystery.

004 · Use-case grid

Built for workflows where mistakes are expensive.

Hover the cards. This swaps the old logo strip for a more editorial grid-zoom component.

Support ops

Resolve complex tickets without losing control.

Refunds, account changes, subscriptions, duplicate charges, policy research, and customer-ready replies.

Revenue

Qualify and route leads.

Enrich data, summarize fit, create CRM tasks, and alert the right rep.

Finance

Handle exceptions.

Invoice mismatches, chargebacks, approval thresholds, and payment follow-ups.

Internal IT

Automate access requests with approval gates.

Provision tools, reset permissions, document changes, and keep security in the loop.

Healthcare ops

Route sensitive work safely.

Keep private information scoped and push ambiguous cases to trained staff.

Marketplaces

Moderate disputes faster.

Pull order history, inspect evidence, propose outcomes, and escalate edge cases.

005 · Proof layer

Receipts or it didn’t happen.

The premium buyer does not want “AI magic.” They want the agent to prove what it did. So this section turns compliance into the visual flex: logs, traces, checks, approvals, and outcome verification.

Deploy safely ↗
08:41:02actor verifiedok
08:41:02policy: refund ceiling checked$250
08:41:03tool call: stripe.refund.createallowed
08:41:03ledger reconciliationpassed
08:41:04customer response evaluated94/100
08:41:04approval threshold triggeredhuman
08:41:05handoff packet generatedcomplete
100%
runs logged
7
risk gates
0
silent actions
006 · Testimonials

The kind of automation leaders can defend.

“The agent stopped being a demo and became part of our operating model.”
Mara Lin
VP Support · Northwind
“The approval trail changed the conversation with security. We could finally show the work.”
Dev Patel
CTO · Lumen Desk
“We cut response time without giving the agent a blank check.”
Nora Weiss
COO · Halcyon
007 · Pricing

Premium pricing for serious automation.

Launchstarter
$49 /mo

For testing one governed workflow.

  • 1 production agent
  • 2,500 runs / month
  • 5 connected tools
  • Basic evaluations
  • Email support
Start Launch ↗
Operatorpopular
$249 /mo

For teams automating real customer work.

  • 10 production agents
  • 50,000 runs / month
  • Unlimited test agents
  • Advanced eval suites
  • Approval workflows
  • Priority support
Start Operator ↗
Commandscale
$799 /mo

For high-volume ops teams with governance needs.

  • 40 production agents
  • 250,000 runs / month
  • SSO and RBAC
  • Custom policy gates
  • Audit export
  • Dedicated onboarding
Choose Command ↗
Sovereignenterprise
Custom

For regulated orgs, private deployments, and custom trust requirements.

  • Unlimited agents
  • Private VPC option
  • Custom SLA
  • Security review support
  • Procurement package
  • Executive success channel
Talk to sales ↗
008 · FAQ

Questions buyers ask before signing.

How is this different from a chatbot?

Chatbots answer. Warden agents execute governed workflows: tool calls, verification, approval gates, audit trails, evaluations, and escalation packets.

Can an agent take irreversible actions?

Only if you expose that tool and configure the policy. You can require approval for refunds, account changes, private data access, deletions, or any custom threshold.

What happens when the agent is unsure?

It escalates with context: retrieved docs, attempted actions, confidence, policy checks, and a recommended resolution.

Can we test before production?

Yes. You can replay historical cases, run eval suites, compare versions, and ship only when the new version beats your rubric.

Ready when the queue is

Put agents
under control.

Launch a governed agent, connect the tools, set the policy, and make the work traceable from the first run.

Start with Warden ↗