The tools were never the whole job.

Employees hate us. Employers love us. Businesses should not need to become AI builders to get useful work handled.

Built around your tools
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Example workflow
Support
Sales follow-up
PayrollZero designs, builds, installs and runs AI employees for support, sales follow-up, inbox management and admin. Founded by Greg Cooke, with scope and responsibilities agreed before work.
Explore our method
Explore our method
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Scoped around the work
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Human accountability
The Workforce Build & Run Method

The work gets a workforce and an owner.

Map the job

Agree the trigger, inputs, outputs and when a person takes over.

Illustrative workflow, not a client result: Sales follow-up
Build and test

Agree the trigger, inputs, outputs and when a person takes over.

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Run and improve

Agree the trigger, inputs, outputs and when a person takes over.

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Our standards

Clear scope. Visible handoffs. An accountable team.

The same tools do not build the same house. Useful AI needs connected systems, testing and someone responsible for the agreed operation.

Where should a person take over in this workflow?

PayrollZero workflow illustration
PayrollZero
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Human handoff
People and responsibilities

The roles behind an agreed workforce.

Illustrative delivery role
Workflow design
Illustrative delivery responsibility
Illustrative delivery role
System connections
Illustrative delivery responsibility
Illustrative delivery role
Testing and acceptance
Illustrative delivery responsibility
Illustrative delivery role
Human oversight
Illustrative delivery responsibility
Illustrative delivery role
Agreed operation
Illustrative delivery responsibility
Illustrative delivery role
Workflow design
Illustrative delivery responsibility
Illustrative delivery role
System connections
Illustrative delivery responsibility
Illustrative delivery role
Testing and acceptance
Illustrative delivery responsibility
Illustrative delivery role
Human oversight
Illustrative delivery responsibility
Illustrative delivery role
Agreed operation
Illustrative delivery responsibility
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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