Start where the work gets stuck.

Illustrative workflow: agree the trigger, define the output and pass unusual or sensitive cases to a person with the context.

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Example: customer support

Use an approved FAQ answer, update the ticket and escalate an unresolved issue with context. A person handles judgement and requests outside the agreed rules.

Example: enquiry to booking

Ask agreed qualification questions, record the answers and send the enquiry to the correct booking route. Sensitive or unusual cases go to your team.

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Six colleagues collaborating around a table with laptops and papers in a modern office.
Example: internal task routing

Create an internal task from an approved request and surface missing information. Agree inputs, outputs and who owns each exception before live use.

Example: inbox management

A reply, record update or internal task within agreed permissions. Sensitive decisions and unusual requests stay with your team.

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Your questions

Frequently asked questions

What does an AI employee actually do?

We build AI employees around a defined recurring job, approved information and agreed actions. A person takes over when the job needs judgement.

Will it work with our existing tools?

We check the actual tools, permissions and required actions before confirming scope. A logo is not proof that every action is supported.

Who handles mistakes or exceptions?

AI can make mistakes. Clear rules, testing and escalation define when your team takes over and what context arrives with the handoff.

Can small businesses and enterprise teams use this?

Yes. Start at the size of the job. Company size changes the workflow and approval process, not whether you belong here.

How do we know the workflow is worth it?

Start with the current cost and quality of the job. Agree acceptance measures, including human review, before comparing the proposed costs.

Who owns the ongoing operation?

We agree what gets reviewed, maintained and improved. Responsibilities, support and exit terms are set out in the engagement scope.

How long does implementation take?

Timing depends on scope, access, data readiness and approvals. Installation and testing come before live use; no fixed launch date is promised.

How is the service priced?

Pricing is discussed on a scoping call. Workflow, integrations, usage and ongoing operation shape the quote, which you review before deciding.

Illustrative workflow, not a client result: Map the job
Start with the job

Your AI workforce. Built and run for you.

We design, build, install and run AI employees around your tools and business rules. Start with the recurring work your team keeps chasing.

Illustrative workflow, not a client result: Approved actions
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