Shoppeal
Team reviewing an AI-assisted recommendation together

Exception-to-Action: our method for solving recurring operational problems

How we build.

Every engagement follows the same five steps. We start with a scoped assessment, then run a pilot where a person approves every recommendation. Automated execution only happens once that pilot has proven itself. We don't build black-box systems, or automation nobody can see inside.

01

Map the Problem

Exception Map + Baseline Sheet

We map how the workflow works today: which systems it touches, who has to approve what, and where it breaks down. Then we measure the baseline: how often it happens, how long it takes, and what it costs.

Deliverables

  • An Exception Map of how the workflow works today
  • A Baseline Sheet: how often it happens, how long it takes, what it costs
02

Bring the Data Together

Context Map + Decision Rulebook

We bring the scattered data across your systems into one place. Then we turn your rules and limits into clear logic, so every recommendation follows the same standard.

Deliverables

  • A Context Map that pulls the scattered data into one place
  • A Decision Rulebook that turns your rules into clear logic
03

Human Approval

Human Approval Flow

A person reviews every recommendation before anything happens. They can approve it, change it, reject it, or send it to someone else. Nothing runs on its own, and every decision is on record.

Deliverables

  • A Human Approval Flow, so a person reviews every recommendation
  • A complete record of every decision, kept on file
04

Measure the Result

Measurement Report

We check the result against that starting baseline: is it faster, are there fewer errors, is it worth the cost. You decide whether to move forward.

Deliverables

  • A Measurement Report comparing the result to your starting baseline
  • A clear read on whether it's worth moving forward
Phase 2

Go Live

Action Layer

Once the approach holds up in a real pilot, we connect it directly to your systems: updating records, creating tasks, and running the workflow automatically, with ongoing monitoring in place.

  • An Action Layer that connects directly to your systems
  • Ongoing monitoring once it's live

Human Approval, Always

A person reviews every recommendation before it becomes an action. That stays true until a pilot proves itself and you decide to change it.

Measured, Not Assumed

We measure how the workflow works today, then compare results against that starting point instead of guessing at the payoff.

You Own Everything We Build

All the code, infrastructure setup, and documentation are yours once the engagement ends.

Next Step

Have a bottleneck in your operation?

Tell us what's happening, and we'll help you figure out the right scope for an assessment.