REQUENTAI & DATA ENGINEERING
Agentic AI

Agents that derive the work, not guess it

We build agentic AI the way we build everything at Requent: from what is already true in your data, with evidence for every step — the agent applies above the confidence bar and asks below it, never a black box making the call for you.

How an agent works

Every agent action is a Run

A Run

A parent action with ordered sub-actions, each with its own status, progress, actor, confidence and evidence — one card, wherever you're working.

    Never a stuck spinner

    A dropped stream degrades to polling, never a spinner that silently stalls.

      Re-running is a no-op

      Re-running a statement is a no-op, never a double post.

        Trust

        “An agent can never do, or reveal, more than the principal it acts for.”

        Confidence gated, reversible with a trail, and never a back door: the agent holds exactly the capabilities of the person it works for. A view is a lens, not a permission.

        For firms

        One accountant, many clients, one Agent View

        An aggregation, not a new derivation — every figure is something the platform already said about one tenant, sized for a real client book.

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