The AI Workflow Business Case Kit
Build the business case for AI that actually changes how work gets done.
Identify one workflow where people spend too much time chasing information, checking status and coordinating across systems. Estimate the opportunity, define what success looks like, and see where AI can reduce the manual work without changing the tools your team already uses.
- One workflow, not an AI strategy
- Assumptions you can show, not promised savings
- No new systems for your team to learn
Already have AI tools in place, but the work hasn't changed? See how teams move from AI experiments to better workflows
AI is everywhere. The manual work is still there.
Most teams have tried AI. Far fewer can point to a workflow that runs differently because of it, and a number that shows the difference.
“We already gave everyone AI tools.”
Individual tools make one person faster. The hours go into the work between people and systems, and that's where the business case is.
“I'm not sure which workflow to start with.”
The kit helps you pick one workflow that's slowed down by manual coordination, frequent enough to matter and easy to measure.
“I don't have the numbers.”
Estimate time spent collecting, checking and chasing, plus the cost of delays and errors, with every assumption written down.
“I don't want to promise savings I can't prove.”
You won't. The case shows estimates as estimates, and the first workflow's job is to measure the real number against a baseline.
“IT will ask about our systems and data.”
The approach keeps your ERP, CRM and email as they are, with people approving what matters. The kit covers the questions IT will ask.
“Our team won't adopt another tool.”
They don't have to. The point is to reduce the coordination they already do, in the systems they already use.
Another AI tool, or a better workflow?
A coordinator checks email, the ERP and a spreadsheet to find out which orders need attention. A chatbot can help them write the follow-up. It can't stop them having to look in three places. That's the difference your business case needs to show.
Giving people another AI tool
- Each person decides whether and how to use it
- Saves time on writing and summarizing
- The order still sits in email, the ERP and a spreadsheet
- Hard to measure beyond “people like it”
Improving the workflow around it
- Built into how the work already moves
- Removes the checking, matching and chasing
- The status is in one place, and people approve what matters
- Measured against a baseline you took first
What's in the kit
A short, defensible business case for one workflow.
Written for your industry and team. Estimates are shown as estimates; go-live measures the real number.
The workflow, and where work gets stuck
One workflow from your team, step by step, with the points where people wait, check or chase.
The time it takes today
Hours spent collecting information, checking status and chasing updates, per week and per person.
The cost of delays and errors
Late orders, rework and missed follow-ups, with every assumption visible so anyone can challenge it.
What AI could improve
Which steps AI can take on, and where a person reviews or approves.
A baseline and success criteria
What to measure before you start, and the result that would count as success.
Also included
- Two more candidate workflows to compare
- Answers to the questions IT and finance will ask
From case to proof
Start with one workflow. Prove it. Then decide.
Make the case
Use the kit to pick one workflow and define the baseline and success criteria.
Try it on real work
Start with one workflow where the work already happens: email, the ERP and the spreadsheets your team uses.
Compare and decide
Measure against the baseline, then expand, adjust or stop. The decision is based on numbers, not opinions.
See it on a real workflow
Operations Workbench Starter turns the orders, POs and changes in your email and exports into one ranked list: what's at risk, the evidence, and what's missing. Try it free for 30 days on your own work.
Where this leads
Your first workflow becomes your company's AI standard.
No AI center of excellence yet? You don't need one to start. Done properly, the first workflow you lead sets the rules every redesign after it follows, and you're the person who wrote them.
Your first workflow
One workflow, done properly
A baseline before launch, clear approval points for people, an evaluation of real cases, and a before-and-after anyone can check.
The second and third
Reused, not reinvented
The way you measured, the approval rules and the building blocks from the first workflow get reused, so each new workflow starts further ahead and costs less.
Across the company
A standard that governs the rest
Those rules become your company's AI playbook: how workflows are chosen, built, approved, measured and handed over. One standard, owned by you, that every team follows.
What ends up in your company's playbook
How to pick
A scoring bar every team uses, so effort goes where it pays off.
How to measure
Baseline before, the same measures after, so results compare across teams.
Where people decide
Which steps AI does, which a person approves, and which stay with people.
Approved building blocks
Reusable patterns, such as reading supplier emails or routing exceptions, instead of one-offs.
Guardrails
Where data lives, who can change what, and how AI actions are reviewed.
Who owns it
When a workflow is handed to the team, and who keeps it running.
Written down and in your hands, so every new workflow starts from it instead of from scratch.
Who this kit is for
Operations managers, process owners, analysts and coordinators. You don't need “AI” in your job title.
- You own or work in an operational workflow: orders, procurement, service, supply chain
- You can see where work gets stuck in email and spreadsheets
- You've seen what AI can do, and want it to change how the work runs
- You need a case your manager, IT and finance will take seriously
Questions
Is this an AI strategy kit?
No. It's for one workflow: where the work gets stuck, what it costs, what AI could change, and how you'd measure it. Broad strategy comes later, if at all.
Do we need to replace our systems?
No. Your ERP, CRM and email stay as they are. The case is about reducing the coordination between them.
We don't have an AI team or center of excellence. Is that a problem?
No. Start with one workflow. How you measured it and where people approve becomes the template for the next one.
How is it personalized?
We use your industry, your team and anything you tell us about what slows you down. We never ask for company data.
What happens after I get it?
Use it on its own, or try the approach on real work with a free 30-day trial of Workbench Starter. If you'd like to talk through your workflow, just reply to the email.
Where would it run? What about our data?
With your existing tools, under your company's control. Workbench Starter never stores email content.
You don't need another AI initiative your team has to learn and adopt.
Start with one workflow where AI can reduce the manual work your team already does.