LoyJoy

LoyJoy Headless

Tell Claude Cowork what your AI Agent should do.

Describe the task, the knowledge and the process in conversation. LoyJoy applies the change in your tenant, you approve the release. The same works with ChatGPT Work and OpenWork. Included from the Professional plan.

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How it works

From one sentence to a published agent

Three steps, without raising a ticket and without waiting in the backlog.

1

Describe

You tell your assistant what the agent should handle: requests, knowledge sources, process steps, tone of voice. The assistant translates that into the structure of your LoyJoy tenant.

2

Review

The change is created in staging. You inspect process, instruction and knowledge sources in the Manager, or have them explained in conversation, before anything goes live.

3

Publish

Approval is a separate step and follows your roles and permissions. Whatever is published is versioned and traceable at any time.

An example

What a change sounds like in conversation

Claude Cowork, connected to your LoyJoy tenant

Build me an agent for questions about premium adjustments. Use our customer letters as the knowledge source, contract data comes from the policy administration system.

Created in staging: agent Premium adjustment with three process steps, knowledge search across your customer letters and an API client on the policy system. The draft is ready for approval.

  • 1. Identify the contract from the customer number
  • 2. Explain the adjustment based on the customer letter
  • 3. Offer and document a suitable tariff change

Open the draft in the Manager and publish

How many requests of this kind did we get last quarter?

Illustrative example. Which tools the assistant may use is governed by your roles and permissions.

Build, analyse, improve

What your team does in the AI assistant

Once the tenant is connected, you work with agents, processes and analytics in natural language.

Create agents.
Set up new AI Agents from a description, including process steps and knowledge sources.
Edit agents.
Rewrite instructions, add modules and sharpen answers without waiting in the backlog.
Query analytics.
Compare KPIs per process and period and generate your own analyses as a table or infographic.
Check knowledge.
Search the knowledge base semantically and find gaps before customers run into them.
Derive improvements.
Have drop-offs and knowledge gaps analysed and apply the suggestions straight to the draft.
Stay in control.
Roles, permissions, versioning and approval stay in LoyJoy, and every call is traceable.

Live: analytics in Claude Cowork

From a question to a finished analysis, with no data export and no prebuilt view in the backend.

LoyJoy analytics in Claude Cowork via MCP

Analytics in Claude Cowork, in 2 minutes

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The architecture behind it

LoyJoy remains your execution layer

Your assistant handles the interaction. LoyJoy manages agents, knowledge, processes, versions, roles, permissions and analytics. That keeps the choice of an employee assistant independent from the platform running your customer processes.

Understand the three MCP directions

What you need

  1. 1. A LoyJoy tenant. LoyJoy Headless is included from the Professional plan.
  2. 2. One of the supported assistants. Claude Cowork, ChatGPT Work or OpenWork.
  3. 3. Permissions. The assistant only uses the tools approved for your access.

The AI assistant itself may be subject to separate licences and data processing terms from its provider.

Webinar

See LoyJoy Headless live

In our free webinars we show how an agent is created in conversation, reviewed and published. Dates and registration are on the webinar page.

See the dates

Frequently asked questions about LoyJoy Headless

See LoyJoy Headless in action

We show you, on your own use case, how your team builds, reviews and publishes AI Agents from Claude Cowork, ChatGPT Work or OpenWork.

Request a demo