AUGMENT, DO NOT REPLACE / ENABLED BY AI

    Stay competitive. Augment your team with agents.

    Your competitors are not out-hiring you. They are giving the people they already have AI workflows that do the repetitive half of the job, and they are pulling ahead a week at a time.

    Field note 01Operator lens

    Agents do not replace your team. They delete the work that was never worth your team's time.

    Agents live in your tools in one day

    45 minutes

    To see which of your workflows an agent should take.

    One day

    From ranked audit to agents running in your own software.

    30 days

    Of tuning while your team runs them on live work.

    3 modules

    Work Audit, Use Case Design, Installation.

    Why this is urgent

    Your competitors got faster. Same headcount.

    It does not announce itself. A firm your size quietly stops losing Friday to the weekly numbers. Quotes get followed up the same day, every day. Invoices get chased on time whether or not anyone had a busy fortnight.

    None of that came from better people. It came from work that no longer needs a person: the chasing, the rekeying, the first draft, the report nobody enjoys assembling. Their team now spends its hours on the half of the job that actually needs judgement.

    You are competing with that. Every week run the old way is a week of compounding difference, and it is far easier to close a two-month gap than a two-year one.

    • You bought licences for everybody, and you could count the habitual users on one hand.
    • Three departments are quietly running their own experiments, and nobody can say which are worth keeping.
    • The same figures are rekeyed between two systems every week, and everyone stopped mentioning it years ago.
    • Your best people lose the first hour of every day to work that carries no judgement in it.
    • A client, an insurer or an auditor asked what your AI policy is, and the answer took a fortnight to write.
    • You have sat through a demonstration that was genuinely impressive, and still could not say what it would change on Monday morning.

    The method

    Audit the work. Build the agents. Hand them over.

    01

    Before the day

    Work Audit

    The full version of the audit you have already seen a first pass of, across the whole team: every recurring job, scored and ranked by how much of it a machine can safely take.

    02

    The morning

    Use Case Design

    Your leadership team decides which two or three jobs go first, and we design each one end to end: what starts it, what the AI drafts, what a person signs off.

    03

    The afternoon

    Installation

    The chosen jobs are built into the software you already pay for and run end to end on real work while you watch.

    Read the method in full

    Where we start

    The work agents take first.

    Not case studies. We do not have clients to quote yet, and we are not going to borrow anybody else’s. These are the jobs that keep appearing at the top of the list, and what we build against them.

    Finance

    The chasing nobody enjoys

    Overdue invoices identified from your accounts system, chased on a schedule in your company's own tone, escalated to a person the moment a reply needs judgement, and reconciled back so the ledger stays the source of truth.

    The machine drafts, a person ships

    Revenue

    The follow-up that never happens

    Every quote and enquiry tracked through to a reply, with the follow-up drafted and the context already gathered: what they asked for, what was quoted, what has happened since. Nothing is sent until whoever owns the relationship has read it.

    The machine drafts, a person ships

    Leadership

    The Monday brief

    The week's numbers pulled from the systems they already live in, assembled into the same short brief every Monday morning, with the exceptions surfaced rather than buried and the source figures traceable.

    The machine runs it

    See what changes in each

    The pattern

    Every role is a list of workflows nobody wrote down.

    Before

    A recurring pain gets a job description, because that is the instrument every company has to hand.

    Audit

    Write down the workflows that role would actually spend its week on, and what each one costs today.

    Build

    Design against that list, and decide for each one whether a machine runs it, drafts it, or keeps out of it.

    After

    The repeatable work runs itself and reaches a person prepared. The judgement stays where accountability already sits.

    How we work

    Not advice. Systems that run.

    We augment the team you have. We do not replace it.

    Every workflow we build gives a named person more capacity, not less standing. The machine takes the repetition and hands the work back prepared. Your people keep the customer, the judgement and the credit.

    Designed for your business, not taken off a shelf.

    There is no product here to sell you. We look at the work your company actually repeats every week and design around that, which is why the first thing that happens is an audit rather than a demonstration.

    You know what is coming, and what it costs, before anything is built.

    The scope is agreed and the fee is fixed before a single prompt is written. No day rates that creep, no discovery phase that quietly becomes the project, and no invoice that arrives larger than the conversation that preceded it.

    We do the technical work. Your team is trained on the result.

    You do not need a developer, and there is no code left behind for anyone to maintain. The people who will run each job are in the room while it is built and run it themselves before the day ends, trained on their own work rather than thrown in cold.

    It lives where your team already works.

    Inside Teams, Slack, your inbox, your CRM: whatever is already open on their screens. Nobody logs into a new dashboard, because the systems that get used are the ones that turn up where the work already is, behaving like another member of the team.

    It gets better the more it is used.

    The first version is corrected against real work in front of you, then tuned again over the thirty days that follow as your team runs it on live jobs. What starts as a decent draft becomes something that sounds like your company.

    Who runs it

    An operator, not an agency.

    Peter O'Donoghue

    Peter O’Donoghue

    Founder. Runs every engagement himself.

    • Founder of an AI product company
    • Twenty years inside B2B firms
    • Runs his own company on an agent fleet
    • Cardiff, works UK-wide

    Peter spent twenty years inside B2B firms before founding an AI product company, so he knows where the technology earns its keep and where it will embarrass you in front of a customer. The company he runs today has its research, its reporting, its chasing and its weekly numbers carried out by a fleet of AI agents he built and supervises. Nothing he shows you is theoretical. It is how his own business runs, and he does the audit, the day and the month afterwards himself.

    AI Opportunity Audit

    See which of your workflows an agent should be running.

    The output is not a deck. It is a ranked list of where your week is going, the three jobs worth taking first, and a straight answer about whether any of it needs us. Forty-five minutes, no charge, and you keep the ranking either way.

    Request the audit