Service

Process Design & Optimization

Build Better Operations

We redesign how work gets done to remove bottlenecks, unnecessary steps, and the costs they create.

A workflow agent is an automated step that moves a piece of work forward — pulling a document from an inbox, entering it into a system, checking it against a rule, routing it to the right person. Each agent has a defined job and a defined point where it hands off to a human when the answer is not obvious.

The symptoms it addresses

  • Work stalls between systems because a person has to copy it across by hand.
  • Routine requests wait in a queue behind the ones that actually need thought.
  • Staff spend their day being the glue between tools that do not talk to each other.

What we deliver

  • Named agents, each responsible for one repeatable step, running on your schedule or on a trigger.
  • Clear handoff rules: what the agent does on its own, and what it escalates for review.
  • A log of every action an agent takes, so nothing happens that you cannot trace.

Where a human stays in the loop

Agents carry the repeatable path. The moment a case is ambiguous — a mismatch, a missing field, an exception to the rule — it goes to a person, with the context already assembled. Your team spends its time on the decisions, not the retyping.

In practice

  • Inbox to system of record

    Today
    Work arrives as an attachment and stalls until a person opens it, reads it, and types it somewhere else.
    What we build
    An agent watches the inbox, identifies what arrived, extracts the fields you use, and enters them into the system of record.

    What changes

    • Work moves without a person carrying it
    • Arrival to entry in minutes
    • Every action logged and traceable
  • The chase

    Today
    Outstanding items — signatures, documents, approvals — only move when someone remembers to follow up.
    What we build
    An agent tracks what is outstanding, follows up on your schedule, and stops the moment the item comes back.

    What changes

    • Follow-ups happen on time, every time
    • Nobody keeping a mental chase list
    • Stalled items escalated, not repeated forever
  • Checks against your rules

    Today
    Errors are caught late, by the person downstream who happens to notice.
    What we build
    An agent validates each item against your rules before it is saved, and routes anything that fails to a review queue.

    What changes

    • Errors caught at entry
    • Rules applied the same way every time
    • Failures reviewed, never silently fixed
  • Defined handoffs and an audit trail

    Today
    Automation that cannot explain what it did is automation nobody trusts with real work.
    What we build
    Each agent has a written scope, an explicit escalation rule, and a log of every action it takes.

    What changes

    • Clear line between agent and person
    • Every action reconstructable
    • Scope changes are a decision, not a drift