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AI agents

Great people running great agents

Agents are good at volume and bad at judgement. People are the opposite. The leverage is not in choosing one, it is in putting a capable operator in charge of a stack of agents and letting each do what it is good at.

We hire and train the operator. They arrive already fluent in the tools, and they build the workflows inside your business rather than handing you a deck about them.

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Month-to-month · Replacement guaranteed · Start in a week

An operator working with an agent stack
The argument

Neither one is the answer on its own

The companies pulling ahead are not the ones who bought the most tools. They are the ones who put someone capable in charge of them.

Agents alone

Fast, cheap and tireless. They also have no context on your business, no judgement about edge cases, and nobody to notice when the output is confidently wrong. Most stalled AI projects failed here.

People alone

Judgement, ownership, relationships. But a person doing work an agent could do is expensive, and the repetitive load is exactly what stops good people doing the work you hired them for.

Both, run properly

One operator, a stack of agents, and clear rules about which handles what. The agent does the volume, the person owns the outcome. That is where the leverage actually shows up.

The role

What an AI-fluent hire actually does

Builds the workflows

Maps the repetitive work in your business, then automates the parts that should be automated. Not a pilot, the actual day-to-day.

Writes and maintains prompts

Prompts are documentation now. Yours get written down, versioned and improved as your process changes.

Keeps a human in the loop

They review agent output before it reaches a customer, an invoice or your board. The judgement stays with a person.

Connects the tools you already pay for

Your CRM, your inbox, your project board, your data. Most of the value is in the joins, not in another subscription.

Handles the exceptions

Agents break on edge cases. Someone has to catch those, fix the rule and move on. That is the job.

Trains your team on it

The knowledge does not leave with them. They document what they build and teach the people around them to use it.

Fluent in the stack

ChatGPT Claude Gemini Zapier Make n8n Airtable HubSpot Notion Slack Google Workspace Power Automate

Running something else? We match someone who already knows it.

In practice

Where the leverage shows up

Function
Before
With an operator and agents
Finance
Someone manually coding invoices and chasing approvals for two days a month.
Agents extract and code every invoice, the operator reviews exceptions and closes the month.
Customer support
First replies waiting overnight because the queue only moves in business hours.
Agents draft every reply from your knowledge base, the operator edits and sends, tone intact.
Sales
A rep spending half their week on research and list building instead of conversations.
Agents enrich and prioritise the list, the operator books the calls that are worth having.
Marketing
One piece of content a week because everything is written from scratch.
Agents produce the first drafts and variants, the operator edits, approves and ships.

Illustrative examples of the pattern, not client results.

How it works

From first call to first workflow

1

Scope the work

We look at where the repetitive load actually sits, and which parts an agent should own.

2

Meet the shortlist

Vetted operators who have built this before. You interview, you choose.

3

First workflows live

They start on your stack in week one and ship something useful inside the first month.

4

It compounds

Each workflow they build makes the next one cheaper. Documented as they go.

FAQ

Before you book

Are you selling software?

No. We place people. They use whatever tools you already have, or recommend ones that fit. There is no RunRemote platform to licence and no lock-in beyond the month-to-month placement.

Is this just a virtual assistant with ChatGPT?

No. The people we place for this have built and maintained automations in a business before. Being able to use a chatbot is table stakes now, so we vet for the workflow thinking rather than the tool list.

Will agents replace the hire eventually?

That is the wrong frame. The agents get better and the operator takes on more of them, so one person keeps absorbing work that used to need a team. The person is the thing that scales.

What if we have no AI in the business yet?

That is the common starting point and the easiest one. There is no legacy tooling to unpick, so the first month usually pays for itself on one workflow.

Get started

Put someone in charge of it

Tell us where the repetitive work sits. We will come back with people who can take it, and what they cost.

Book a call See data and AI roles
Month to month No lock-in contract, cancel with 30 days notice.
Replacement guaranteed If the fit is wrong we replace them at no cost.
Start in a week Roughly seven days from first call to first day.