Enterprise copilots & agents

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

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

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An assistant with a defined jobExample workflow
Request

Prepare a supplier renewal summary

Contract terms and purchase history

Draft for the account owner to approve

Action stays within the approved workflow

AI, data & automation

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.

An implementation example

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.

An assistant with a defined job

An operations assistant prepares order updates across several Australian branches.

A failure to account for

A retry loop repeats a consequential action after a network timeout.

Illustrative scenario, not a customer case study.

From open-ended chat to accountable actions

The fragile approach

A chat window with broad access

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

The intended approach

A task with a verifiable result

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

From implementation to ownership

What your team receives

Agree the scope and the acceptance evidence before delivery starts.

Tool permission matrix

Each operation, its inputs, permitted roles and approval conditions.

Included scope agreed before delivery

Task recovery record

How completed actions are recognised after interruption or retry.

Included scope agreed before delivery

Evaluation pack

Representative tasks, unsafe requests and evidence for the release decision.

Included scope agreed before delivery

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