New: @luna reviews pull requests against your team's standardsSee what's new

Build your AI workforce, one agent at a time

From one agent to a whole operation. Workbench runs the work end to end, across the tools your team already uses, with every run recorded and on-policy.

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workbench — runs

Runs

5
  • RReview PR #482 · api-billingRunning
  • STriage support inboxDone
  • PPlan sprint 24Done
  • FReconcile March invoicesQueued
  • RDeploy prod without approvalBlocked

run #482 · reviewer

  1. → reading standards/review.md
  2. → diff: 14 files · +612 −88
  3. → 3 findings · 1 blocking
  4. → policy: no-secret-access ✓
  5. ✓ review posted as @luna
  6. cost 0.42 USD · 38s

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  • Context
  • Agents
  • Workflows
Context

Agents run on context

Agents succeed because of the context you give them, not the model they run on. Workbench puts your company's knowledge, tools and policies at the center, so every agent starts informed and stays on-policy — on simple, transparent infrastructure that gets out of your way.

Read the docs
Platform

Your control plane for AI agents.

Ship work faster, without losing control of what your agents are doing.

  • Without Workbench

    Every team spins up its own bots and prompts. In two weeks you go from zero agents to dozens of duplicates nobody trusts.

    With Workbench

    One registry of agents, skills and tools across your tenant, so you find what exists before you build something new.

workbench · runs/482
Blockeddeploy-prod-without-approval

workflow · triggered by @luna · 2 repos

  • critical
  • policy: change-approval
  • sandboxed
  • scanned 4m ago
  • Context
  • Evidence (2)
  • Affected (1)
  • Skips the approval gate

    gh workflow run deploy.yml --ref main

  • Reads production credentials

    cat .env.production

workbench/policy-check — failed on 2 rules

policies defined in your workspace

Workflows

One workflow. Many more when you're ready.

A workflow reads your standard, does the work, and gets sharper every time it runs. Take the ones we give you, or build your own.

Workflow

Automated code review

Your review standard, not a vendor's settings page. Write it once, watch it improve with every PR.

→ runs on every pull request, posts as @luna

Workflow

Ticket triage & planning

Reads the backlog, drafts the sprint, assigns owners and keeps the board honest.

→ learns from every sprint it plans

  • Docs

    Documentation upkeep

    Keep docs, READMEs and runbooks in sync with what the code actually does.

  • Support

    Customer replies

    Draft answers from your knowledge base and hand off the edge cases.

  • Ops

    Incident post mortem

    Collect the timeline, the evidence and the follow-ups before the meeting.

  • Sales

    Lead enrichment

    Qualify inbound leads against your ideal profile and book the next step.

  • Finance

    Invoice processing

    Match invoices to orders, flag mismatches, prepare the batch.

  • Reporting

    Weekly reporting

    Pull the numbers, write the narrative, post it where the team reads.

Models

Bring your own model and agent.

Switch providers with a config change. Run Claude, GPT or Gemini, and plug in the coding agents your engineers already use.

  • AnthropicClaude Code
  • CursorCursor
  • OpenAICodex
  • GeminiGemini CLI

+ any agent you run

Workbench platform

Built for enterprise.

From a fast-moving team shipping its first agent, to a global company running hundreds, we're your partner on the journey. Our engineers guide you from the first run to a full AI workforce.

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Northwind

Northwind cut ticket resolution time in half with Workbench

“We had dozens of teams experimenting with agents. We needed one place to run them, audit them and keep the keys out of chat windows.”

— Jane Doe, VP Operations, Northwind

Platform

Multi-tenant by design

RBAC, audit logs, encryption at rest, LGPD/GDPR tooling and sandboxed workers — on every tenant from day one.

See the platform

Built by you, or your agents

Talk to the Workbench team about deploying visibility, governance and continuous improvement across your AI stack.

Questions, answered.

Everything about agents, models and how a run actually works. Still stuck? We are happy to help.

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