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AI agents · Your own agent

Use TAI from inside ChatGPT, Claude or Gemini

Your team already talks to an AI assistant. TAI has an MCP server, the open standard those agents use to connect to systems, and through it your assistant queries employees, time clock, payroll, tickets and indicators in plain language, with the permissions of whoever connected it. No spreadsheet exports, no passwords handed over.

The agent sees exactly what you see. Not one screen more.

Recognize the problem

Why your team's assistant knows nothing about the company

The data is locked in the system. To ask how many people are on vacation, someone opens the screen, exports and pastes into the chat. With yesterday's data.

Pasting a spreadsheet is a leak. Personal IDs, salaries and health data leave the platform for a chat that knows nobody's permissions.

Every integration is a project. API, key, code, someone to maintain it. The assistant waits for IT.

Nobody knows what the agent did. If it changed something, where was it recorded? With which permission?

How it works

One MCP server: Tali's own catalogue, permissions and executor

MCP is the open standard AI agents use to connect to systems, and TAI has its own. It has no logic of its own: it reuses Tali's operation catalogue, permission filter and execution. What your agent sees is what you would see on screen.

MCP for the agents on the market

ChatGPT, Claude, Gemini and any agent that speaks MCP connect to the same TAI server. You do not wait for a custom integration for each assistant.

Authorisation on a TAI screen

In assistants with connectors, such as ChatGPT and Claude, the connection opens a TAI screen asking whether you authorise it. You log in and click Authorise. No token, no shared password.

Token for command-line and in-house agents

For Claude Code, Gemini CLI or your company's own agent, create a personal token under Profile → Access tokens, with an expiry and with or without write access. Up to five active tokens, revocable instantly.

Read by default, write if you allow it

Without Allow write, the connection is read-only. With write, the agent creates and changes records within your permissions, with approval in your own assistant. Irreversible acts are always excluded.

What you can ask

The questions that today become exports

Everything Tali answers on the platform, your assistant answers from outside. The only difference is where the conversation happens.

Generated files, such as a payslip, a time sheet or a spreadsheet, arrive through a temporary link that expires in a few minutes. Expired? Ask again.

Examples

1

People and structure

"Who is on vacation this week?", "How many people are in sales?", "Who is Ana's manager?"

2

Time clock and payroll

"Who on my team has a pending clock correction?", "What is missing to close payroll?", "Generate my August payslip."

3

Service desk and processes

"Which tickets breach the SLA today?", "Where is my reimbursement request?", "Open a ticket for IT."

4

Finance and indicators

"What do I have to pay this week?", "How are the quarter's objectives?", "Who is off target?"

Connected apps and tokens appear on the same profile tab, with last use and expiry. Disconnecting takes effect immediately.

Where to connect

One MCP server, several agents, one rule: the permission is the connecting person's.

ChatGPT

Connector with authorisation on a TAI screen. Sensitive data such as personal IDs, health and bank details stay out of that channel by default.

Claude

claude.ai and Claude Desktop through a connector with authorisation; Claude Code through a personal token.

Gemini

Connection through the same MCP server, with a personal token with a set expiry, read-only or with write access.

Your own agents

Your company's agent, on any platform that speaks MCP, uses the server URL and a token.

Tali, inside the platform

To actually execute, including what is irreversible, Tali is the agent. External ones read and, if allowed, write.

Learn more

Who it is for

  • Executives who live in the AI assistant: Ask about the operation from where they already are, without opening one more system, and see only what the role allows.
  • Companies with their own agent: The data or IT team connects the in-house agent to TAI by token and builds whatever they want on top, with no custom integration.
  • Managers who want the answer now: Team clock, queue tickets, quarter objectives. The question leaves the phone and the answer comes back with today's data.

Questions about the connection

Which AI agents does TAI integrate with?
With the AI agents on the market that speak MCP, such as ChatGPT, Claude and Gemini, and with your company's own agents. It is a single server, with the same catalogue and the same permissions as Tali.
Does the external agent see everything in the company?
No. It carries the permissions of the person who connected it, not one more. Whoever has no access to a screen in TAI has no access to that data through the agent.
Can it change data?
Only if you tick Allow write on the token or the connection. Even then, irreversible acts such as approving, paying, transmitting, closing and deleting stay blocked for external agents. Those are done on the platform or through Tali.
Why can't ChatGPT see personal IDs and salaries?
The ChatGPT channel is restricted by default: identification, health and bank data, as well as file exports, stay out of it. It is a protection decision, not a technical limitation.
I lost the token. Now what?
It cannot be recovered, on purpose. Revoke the old one on the Access tokens tab and create another. The list shows each one's last use and expiry.
Does this replace Tali?
No. Tali is the agent that runs the whole platform, with confirmation, including what is irreversible. The external agent is the same intelligence, in the conversation your team already uses, with a scope of reads and ordinary writes.

Connect your assistant and ask the first question

In 30 minutes, we connect your team's ChatGPT, Claude or Gemini to a demo account and you ask whatever you want about the operation.

👋 Want to see Tali executing a real process from your company?

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