# Give AI a useful job. Keep control of the result.

Enterprise copilots & agents

Build assistants with typed tools, narrow permissions, execution budgets and explicit approval before writes.

## An assistant with a defined job

Illustrative workflow.

- Request: Prepare a supplier renewal summary
- Evidence: Contract terms and purchase history
- Action: Draft for the account owner to approve



## Scoped tools. Recoverable work.

### MCP tools with boundaries

Expose selected business functions through an MCP server. Validate inputs and enforce caller permissions for every read, draft and write.

### State and recovery

Persist the task state, record completed actions and resume interrupted work without repeating a business transaction.

### Human approval

Show the proposed change and its source evidence before an authorised person permits a consequential action.

### MCP integrations

Expose approved internal tools through authenticated MCP servers with per-tool permissions and request records.

### Event driven work

Trigger bounded tasks from schedules, messages or webhooks and keep their progress visible to the user.

### Model request controls

Record model usage and failures. Apply timeouts, rate limits and spending budgets to each task.

## Useful autonomy has a boundary

An agent should know which records it can read, which actions it can propose and when it must stop. We build those rules into the application, outside the prompt.

Illustrative scenario, not a customer case study.

An operations assistant prepares order updates across several Australian branches.

Expose narrow tools with typed inputs and server-side validation. Separate read access from writes and cap action count, elapsed time and spend for each run.

Verification: Track attempted actions, rejected actions, duplicate writes and runs stopped by their execution budget.

## From open-ended chat to accountable actions

### A chat window with broad access

A fluent response can conceal an unsupported claim or an unintended system change.

### A task with a verifiable result

Give each tool a contract, enforce the user’s permissions and record the evidence behind the proposed action.

## What your team receives

Included scope agreed before delivery.

- Tool permission matrix: Each operation, its inputs, permitted roles and approval conditions.
- Task recovery record: How completed actions are recognised after interruption or retry.
- Evaluation pack: Representative tasks, unsafe requests and evidence for the release decision.

## Can an agent change business records?

Only through an explicitly authorised tool. Start with read access and draft actions, then add writes when validation, approval and recovery are defined.

## Read the engineering behind it

- [Give an agent a small tool, not an administrator console](https://cobnex.com/blog/bounded-agent-tools-architecture-decision-guide)
- [Timeout after the write, before the tool response](https://cobnex.com/blog/bounded-agent-tools-failure-testing-walkthrough)
- [Explain why an agent run stopped](https://cobnex.com/blog/bounded-agent-tools-operations-runbook)