Build AI agents for your operational workflows.

Agent Studio is where you build enterprise agents, test on real workflows and deploy to every channel your organization already works in.

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Build with AI assistance

Guided studios for agents, tools, and skills: describe the role in plain language and iterate on a live, working preview.

Deploy across every channel

One agent, many surfaces: web chat, Slack, Microsoft Teams, email, SMS, WhatsApp, and live voice — with clean handoff to human staff.

Grounded in your knowledge

Agents draw on Enterprise Search and the Knowledge Graph, so answers come from verified organizational data — with citations.

Governed, not just capable

Budget caps, usage limits, allowed-action lists, and approval gates wrap every operation. Sensitive actions route to human sign-off.

Watch them think

Step-by-step execution traces show exactly what an agent did, which tools it used, what it retrieved, and why.

Prove them before you promote them

Built-in evaluation suites score agents against test scenarios before deployment; monitoring watches cost, quality, and behavior in production.

In practice

A contracts intake agent receives a vendor question by email, checks the governing agreement through Enterprise Search, drafts a response citing the exact clause, and routes it to counsel for one-click approval — the entire chain of evidence preserved in the audit trail.

Under the hood

Built so you can trust it with real work.

Runs that finish

Every run is recorded step by step as it happens. If a run is interrupted — a crash, a timeout, a restart — it picks up from the last completed step instead of starting over or silently disappearing.

Permissions you can read

Each agent carries an explicit list of what it may use: which tools, which data, what budget. Change the agent and the list is re-reviewed — so you always know what a deployed agent can actually do.

Ready for real channels

Putting an agent on email, SMS, or voice means consent rules, delivery failures, escalation to a person, and knowing what each conversation cost. LACE handles all of that per channel — you don't build messaging infrastructure to go live.

FAQ

What enterprise teams ask.

What is a governed enterprise AI agent?

It is an AI agent whose data, tools, budgets, actions, and approval requirements are explicitly defined and enforced by the platform around the model. Every run produces an inspectable execution record.

Which channels can LACE agents use?

The same agent can be deployed through web chat, Slack, Microsoft Teams, email, SMS, WhatsApp, and live voice, with channel-specific consent, delivery, escalation, and cost handling.

Can an agent take actions in business systems?

Yes. Agents can use approved tools and APIs, but each capability is permissioned. Sensitive or irreversible actions can pause for one or more human approvals before execution.

How are LACE agents evaluated before deployment?

Evaluation suites run representative and adversarial scenarios against expected outcomes, policy boundaries, tool behavior, and failure paths. Production monitoring then tracks quality, behavior, latency, and cost.

MCP Server

Works where you work.

The whole platform is an MCP server. Connect it once, and the AI tools your team already lives in can search your knowledge, ask the graph, and put governed agents to work — same permissions, same citations, same audit trail, wherever the question is asked.

Claude Cowork Delegate the busywork
Claude Code In your terminal
ChatGPT Ask in chat
Codex Ships the code
Microsoft Copilot Across Microsoft 365
Cursor In your editor

One endpoint — every MCP client

Next step

Put your first agent to work.

We set up a pilot on your documents and one workflow your team actually runs. You judge the working output — in weeks, not a quarter-long project.

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