Building your own AI agent vs having one run for you
Build your own if someone has the skill to set an agent up, the hours to look after it and the wish to own it. Someone must then check its work and mend it as systems change. If that would fall to the owner after hours, think again.
Choose building it in-house when
You have a developer or a technical person with time set aside to build the agent and keep it working.
The work is close to what makes your business different, and you want to own every part of it.
You want the skill in the business, and can afford for the first attempt to take a while.
Choose AI staff when
Nobody in the business has spare hours to specify the job, review the output and repair it after a system update.
The person who would build it is the owner, in the evenings, on top of the day job.
You want it to keep working after the person who set it up has moved on.
Built in-house or run for you
Five questions asked of both routes. What it takes to run an AI system is from the UK government's AI Playbook, written for its own departments and a fair list for any business.
What it costs
Software, and staff time
A subscription or usage charges for the AI model, and the hours of whoever builds, checks and maintains it. Count those hours.
A build fee, then a monthly fee
It is a build fee, then charged by the month. Our starting price is on the homepage.
Who builds it
Your own people
The government's AI Playbook says a team should gain the skills needed to use, design, build and maintain AI solutions.
We do
We write the role down with you, then build and test it over weeks. Your people supply the knowledge of the job.
Who keeps it working
You do
The Playbook asks for day-to-day maintenance, and testing and monitoring for drift and hallucinations, among other things. That needs to be in someone's job.
We do
Watching it, checking its output and repairing it after a system update are our job. Every action it takes is logged.
What you control
Everything
The design, the rules and the know-how stay inside your business, and you can change them whenever you like.
The role and approvals
You agree what the role does, and a named person in your business approves what matters. Running the agent is our job.
If the builder leaves
Depends on the notes
An agent built by one person needs writing down, or whoever comes next inherits something they do not understand.
It rests on us
The role is written down and managed by us, not held in one employee's head. You depend on a supplier instead.
Weighing up a hire against an Agent Resource?
See what an AI worker costs to build and run for this exact role.
Where building it in-house wins
Build it yourself if you have the people. Microsoft describes Copilot Studio as a low-code studio for building AI agents and workflows. It says no extensive technical background is needed, and Zapier lets you create agents that work across 9,000-plus apps. A business with a developer, or a technically minded member of staff with time set aside, can build an agent that fits its work exactly. You own the design and can change it the same afternoon. Nothing we offer beats that for a firm that wants the skill in-house.
It is also the right choice when the work is the heart of what you sell and you want no outsider near it, or when you want to learn. For an assistant for each person, read ChatGPT, Claude or Copilot.
Where AI staff win
Ask who looks after it in month six. An agent has to be given its rules, its exceptions and its sign-off points, and then watched as your systems change. The AI Playbook asks for the right resource for day-to-day maintenance, and for testing and monitoring to catch drift and hallucinations. In a small business, ask whose job that would become.
An Agent Resource, an AI worker run the way you would run staff, comes with that work done: its role is agreed in writing, and we build it and manage it. It does not rest on one member of staff staying. More in what happens when an AI worker gets something wrong.
Questions owners ask
Can we build our own AI agent instead of paying for one?
Yes, and some businesses should. The work is in writing down how the job is done, checking its output and repairing it when a system changes. If someone on your staff has those hours, build it. If not, that is the job we take on.
What does it take to run an AI agent in-house?
The government's AI Playbook names the skills to use, design, build and maintain an AI system, and a testing and monitoring process to catch drift and hallucinations. In a small business that is someone who knows the work, someone who can connect your systems, and time each week to check it.
Would your AI be any better than one we built?
We make no such claim, and the AI is not the reason to choose either. The difference is who specifies the job, who runs it, who watches its output and who answers when something goes wrong. Built in-house, that is your people. Run for you, it is us, with your named person approving.
What if we build it ourselves and it does not work out?
Then little is wasted. Your notes on what the agent should do, where it went wrong and who approves what are most of a role specification. Bring them to the scoping.
An Agent Resource compared with
ChatGPT, Claude or Copilot
ChatGPT, Claude and Copilot are assistants each person runs. An Agent Resource takes one process off a desk and is run for you.
An Agent Resource compared with
Zapier, Make or Power Automate
Steps that never vary belong in a workflow you build; work that needs reading and chasing belongs with an Agent Resource.
An Agent Resource compared with
An AI consultancy
Want advice, a strategy or a build to own? Use a consultancy. Want the work done and managed weekly? An Agent Resource.