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    Digital employees — staff with AI you can trust

    Digital employees — staff with AI you can trust.

    Purpose-built AI workers for real business functions — designed on a different foundation than the market's chatbots, and supervised like the employees they are.

    Book a discovery session20 minutes. Free.

    § 01 — Four structural differences

    Four structural differences

    Grounded, not improvising.

    Each digital employee works from a curated body of your organization's own vetted knowledge — not the open internet. Answers come with their basis visible, and 'there isn't enough reliable information to answer this' is an honest result, never papered over.

    Checked by something that didn't write it.

    Multiple AI reviewers check the work; the producer is never the one who signs it off. Structural rule, not good intention.

    Governed like we preach.

    The same decision-gating discipline we sell runs inside our own agents. We eat our own dog food daily.

    Built to how your company actually works.

    A digital employee's skills mirror your real operating models and reporting expectations, so its output lands inside your existing workflows — not beside them.

    § 02 — Two ways AI work goes wrong

    Two ways AI work goes wrong. We build against both.

    It spins.

    An agent that cannot close a problem does not stop. It retries, re-reasons, re-runs — spending your tokens, your compute and your team's patience on a loop that will never converge. The bill arrives before the answer does. Our digital employees are built with bounded execution, and we are still extending how completely it covers. Where the boundary is not yet drawn, we tell you — rather than let you find it on an invoice.

    It says done when it isn't.

    The costlier failure is the confident "complete" on work that is not finished — because once something is marked done, nobody looks at it again. A digital employee that overstates completion puts its error into the next process downstream. Ours are built to say "there isn't enough reliable information to answer this" instead. An honest stop beats a confident wrong answer.

    § 03 — Watch

    Digital employees, in under four minutes.

    § 04 — Meet some of the team

    Meet some of the team

    Illustrations of roles, not case studies. Every digital employee is built to your operation in discovery — the job, the limits and the supervisor are yours to set.

    Marcus

    AI Security Analyst

    Triages the alert queue, correlates across your tooling, and drafts the incident summary before a human opens it.

    What I hand to a human

    every containment recommendation, and anything I cannot trace to a source you gave me.

    Supervisor

    your security lead.

    Elena

    AI Compliance Coordinator

    Keeps control evidence current, assembles customer and vendor questionnaire responses, and tracks what has gone stale.

    What I hand to a human

    any answer that doesn't have a dated artifact behind it. "We don't have evidence for this yet" is an answer I will give.

    Supervisor

    your compliance lead.

    Iris

    AI Estate Analyst

    Maintains the record of the AI systems your organization has declared, and flags what changed since the last review.

    What I hand to a human

    anything I can't trace to a declaration. I don't go looking for what nobody told me about, and I say so.

    Supervisor

    your AI governance owner.

    Vera

    AI Risk Assessment Analyst

    Works alongside the assessors on pathway assessments and prepares the evidence pack behind each finding.

    What I hand to a human

    the decisions. I assemble the evidence, and the ranking follows from your tolerance and the method; what happens next is a person's call.

    Supervisor

    your risk lead.

    Every digital employee has a defined job, a badge that opens only the doors its job requires, a required format for reporting back — and a named human supervisor.

    § 05 — How discovery works

    How discovery works

    A structured working session, not a sales call. Most leaders can't yet name which of their workflows an AI worker could genuinely carry — that's normal, and it's the point. We map your operation against a disciplined test and you leave knowing which functions qualify, what a digital employee would do in its first month, and what it must never touch. The build, if you want it, is scoped from what discovery finds.

    A defined job
    Access limited to that job
    A required reporting format
    A named human supervisor

    § 06 — The question to ask any AI vendor — including us

    Show me what happens when your system doesn't know the answer.

    Anyone can demo a good answer to a good question. How a system behaves when there's nothing to find tells you whether it was built by people who understand the problem. ARQ does not claim its digital employees cannot fail — they are designed so that failure is visible, checked, and honest. Ask us the question in the briefing.

    § — A private briefing

    Ready to find out which functions qualify?

    20 minutes. No deck. A structured working session that maps your operation against a disciplined test.