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AI adoption planning

AI Opportunity Assessment:
the workflow in practice.

Process candidate-to-opportunity brief

FROM INPUT TO HANDOFF

A clear job
for every step.

This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.

Do not invent savings or assume that every step benefits from AI. Some problems need cleaner data or simpler conventional automation first.

Explore the architecture behind the pattern ↗
01

Start with a defined trigger

A business owner selects a process for AI assessment.

02

Assemble the right context

Collect verified process steps, volumes where available, current effort, data access and quality expectations.

03

Perform the bounded task

Identify candidate assistance points, required context, review gates and unresolved feasibility questions.

04

Review before taking action

Process and technical owners validate the proposal and decide whether a pilot is justified.

05

Deliver and record the result

Record the accepted opportunity and its assumptions before planning implementation.

Build an improvement loop
around real work.

Measure factual output quality, review effort, exception frequency and observed process improvement against a baseline.

Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.

CHOOSE THE RIGHT SUPPORT

Build it. Build with us.
Or have us manage it.

The workflow stays centered on your business. The engagement determines who learns, implements and operates it.

DIY

Your team owns the build.

Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.

Explore the $2,500 package ↗
DFY

We manage the foundation.

Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.

Explore managed delivery ↗
CONNECTED OPPORTUNITIES

AI Pilot Evaluation

Prepare an evidence-based pilot review that compares useful results, review effort and failure cases with the original goal.

Explore this solution ↗
START WITH YOUR WORK

Where is your team
doing too much by hand?

Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.