> ## Documentation Index
> Fetch the complete documentation index at: https://developers.techwolf.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# What is the TechWolf Analyst Agent?

# TechWolf Analyst Agent

The TechWolf Analyst Agent is a workforce intelligence agent. A user asks it
questions in natural language, and it answers from the organization's TechWolf
data combined with external labour-market data. It can help with:

* **Job architecture:** what skills roles require, how jobs are structured, and
  where the gaps are.
* **Employee skills:** who has which skills, and where the gaps are.
* **AI impact:** which tasks and roles are most affected by automation.
* **Market intelligence:** what the external market is hiring for, and how the
  organization's roles compare.
* **Workforce planning:** internal mobility, role redesign, and strategic
  planning.

The agent is advisory and read-only: it explains and analyses, and it cannot
take actions in any HR system. It runs on TechWolf's infrastructure, with model
inference served by Amazon Bedrock in the organization's region.

# Where users reach it

The agent is available in two places:

* **The TechWolf Console.** Users with agent access open it directly from the
  Console. Access is granted per user by your own administrators; see
  [User Management](./user-management).
* **Microsoft 365 Copilot.** The same agent, inside the tools your teams
  already work in. Your Microsoft 365 administrator sets it up once for the
  whole organization; see [Installation](./copilot/installation).

Both surfaces answer from the same data with the same per-user access rules,
and draw on the same credit allowance.

# In this section

* [User Management](./user-management): granting and removing access, and what
  determines the data each user sees.
* [Credits](./credits): how your organization's weekly credit allowance
  works.
* [M365 Copilot](./copilot/installation): installing the agent in Copilot, how
  the integration works, and what it looks like.
* [FAQ](./faq): day-to-day usage questions.

If you see anything in the documentation that is not correct, does not match
your experience or requires further clarification, please reach out to us at
[support@techwolf.ai](mailto:support@techwolf.ai).


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