Service
AI employees as a service
An AI employee takes on one whole job in your business, such as answering your community, following up every enquiry or processing invoices, so your people get their time back for the work that moves the business forward.
Most businesses lose hours every day to work that has to be done but does not move anything forward: the same questions answered again, enquiries chased by email, invoices keyed in one at a time. An AI employee takes one of those jobs on in full. It knows the ordinary version of the job before it starts, then we teach it your business: your information, your tone, your systems and the limits you set. It works around the clock, does the routine the same way every time, and passes anything unusual to a person with the full context. You do not hire, train or manage it, and you do not run the technology. We build it, run it and keep improving it, and you get the finished work. AnswerBot, Relay and Ledger are three we run today, and we build others around the job that is costing you the most time.
Three AI employees you can hire today
AnswerBot
Answers your community
For creators, coaches and course owners with a paid community.
AnswerBot learns from your own content, your videos, lessons and posts, and answers members' questions in your voice, at any hour, with detail drawn from what you actually teach. Members get help in seconds instead of waiting for you, and you stop answering the same question for the hundredth time.
Relay
Follows up every enquiry
For sellers and sales leaders.
Relay does the job of a sales development rep. It replies to each inbound enquiry quickly, understands what the person is asking, gives them useful information about your offer, and guides the conversation to a booked call. You spend your time on calls and closing business, and no lead goes cold in an inbox.
Ledger
Processes your invoices
For financial controllers and bookkeepers.
Ledger works through the accounts inbox, finds each invoice, reads it, checks it and prepares it for your accounting system, and flags anything that looks wrong for a person to decide. Your team can see everything it did, and their time goes to management accounts and the work that needs their judgement.
How every AI employee works
Trained on your business
It works from your real information, your services, prices, policies and past answers, in the way your business would put it, and it is wired into your calendar, inbox or systems so it can do things, not just chat.
Clear limits and a person in charge
It works from a fixed list of actions it is allowed to take. When something needs a person it hands over with the full context, and anything that sends on your behalf or touches money waits for you to approve it.
Name a job role. We build it and deploy it for you.
If the work that slows you down is something else, we build around that. We start from the job a person does today, the questions they handle, the systems they touch and the decisions they make, and build an AI employee that does the routine part of it to the same standard.
Working with us
What an engagement looks like
Agent work is scoped after the audit, against the questions your customers actually ask and the systems you actually run. If we have already built you a quick win or two, the connections made for those become the things the agent can look up and act on, which is why each piece we add takes less work than the one before it.
- 1Decide what it answers and what it refuses
- 2Find where the knowledge really lives
- 3Prepare the material so it can be searched
- 4Build the confidence gate firstGate before this step
- 5Build the agent behind the gate
- 6Test it on real questions
- 7Put it where your people already areGate before this step
- 8Put a person on the flags
Every stage, with what you bring and what you get as each one closes, is set out on How we work.
What we need from you
Access to where your knowledge actually lives, someone in the business who can point us at the good answers, real questions your people get asked, examples of how you would answer in your own words, and a person to review what it declines once it is live. The agent can only be as good as the material behind it, so the more of your real answers we can see, the fewer questions it has to hand back to you.
Where we stop for your sign-off
The scope, including everything the agent must refuse to answer, is signed before anything is built, and the finished agent is judged against that document. Then, before it meets a customer, you see the graded test results and try to break it yourself. It goes live when you decide it is ready.
What you keep
Your knowledge, cleaned up and searchable in one place, which is worth having on its own before an agent ever touches it. You also keep the signed scope and refusal list, the graded test results, and the code, the accounts and the data, in your name from the start.
What happens after
We keep watching an agent after it goes live, because the questions people ask it change and its material has to keep up. Everything it declines goes to a person, those answers feed back into its material, and the set of things it cannot handle shrinks instead of standing still. On ongoing support we also track its health and send you a plain monthly report of what it handled, what broke and what we improved.
The technical side
How we build it
- 01
We gather your knowledge
We pull together everything the assistant needs to know and shape it into a source it can answer from reliably.
- 02
We ground it in facts
We use retrieval so the assistant answers from your information, which keeps it accurate and stops it inventing things.
- 03
We give it the actions it can take
We wire it into your calendar, CRM or database through their APIs so it can actually do things, not just talk, working from a fixed list of actions it is allowed to take and nothing else.
- 04
We set its limits and keep you in control
We try to break it before your customers do, set clear limits so it hands over rather than guessing when it is unsure, and hold anything that sends or commits until a person approves it.
- 05
We secure it by default
Your keys stay server side and are never exposed, and the assistant only reaches the systems we explicitly connect it to.
What you end up with
A whole job gets done reliably, around the clock, without adding to your payroll or your to-do list. Customers and members get fast, accurate answers, enquiries turn into booked calls, invoices get processed, and your people spend their time on the work that grows the business. The AI employee does the legwork within clear limits, and a person stays on anything that matters.
Tell us what is slowing you down