Approach

A framework for where AI should run on its own, and where it shouldn't.

Every RF Digital project starts by mapping consequence, not by picking tools. Which parts of this work are safe to run unattended, which parts still need a person, and what does the system owe that person when it hands something over? Everything else follows from the answer.

The core idea

One line of work. One place where it stops for you.

RUNS ON ITS OWNSTOPS HERERESUMES ON YOUR SAY-SOreviseArrivesSortedPreparedCarried outConfirmedYour callcontext already assembledEVERY STEP LOGGED AND GRADED
Two kinds of work

Which side of the checkpoint does each piece belong on?

Repetitive work

Safe to automate fully

High volume, rule-based, and cheap to be wrong about once. The system does the whole job and surfaces only when something breaks.

Judgment work

AI prepares, you decide

Anything with a real cost attached. The system assembles the record, drafts the options, and stops. A person makes the call.

  1. If it misses
    Moving structured data between systems that were never built to talk. Wrong once, fixed on the next run.
    Anything that commits money, scope, or your name. Wrong once, and someone has to make a call.
  2. The shape
    Pulling fields out of documents that arrive in the same shape every time.
    Exceptions to your own policy, and requests that fit no category.
  3. What it sets
    Status updates, confirmations, and scheduled follow-through. Nothing downstream depends on the wording.
    Decisions that set the precedent for how the next hundred get handled.
  4. Who answers
    Standard intake, classification, and routing. If it is off, the log shows it and the fix is a rule.
    Anything a client, a partner, or a regulator could later ask you to explain.
How a project works

Four steps, no surprises

  1. 01

    Audit

    A working session on how the operation actually runs: what is repetitive, what is manual, where the exceptions live, and what it costs when one of them goes wrong.

  2. 02

    Map

    I map every piece against consequence: what the system can settle alone, what it prepares for a person, and where the checkpoint sits. You see the map before anything gets built.

  3. 03

    Build

    I build the connections, the automation, the checkpoints, and the evaluation that grades what the model produces. Tested against your real cases, including the ones that break.

  4. 04

    Handoff

    You get a system you can operate, inspect, and change. I walk your team through the logs, the thresholds, and the failure modes. You keep the logins, not me.

Principles

What guides the work

01

Automate the repetitive, not the judgment

If a decision carries a real cost, a person makes it. The system's job is to make sure that person has everything they need the moment it is their turn.

02

Visible by default

Every step leaves a record of what ran, what it decided, and what it decided on. No black boxes, no "the system just does that."

03

Connected, not stacked

One system that talks to itself beats five subscriptions that don't. Integration is the point, not an afterthought.

04

You keep the keys

Your logins, your data, your accounts. I build it, I hand it over, and it keeps working whether or not you ever hire me again.

Start a project

See how this framework applies to what you're running