What should an AI implementation roadmap for operations contain?
An operations roadmap shows where the company is today, the gap between what the owner, the team and the systems say, the org chart now and next, and for each department what changes and what it takes. AI appears only where the data is trusted and someone owns it.
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The six sections
- Where the company stands. Its state in SCOPE™ by Efficiency Sprint.
- The gap. What the owner thinks, what the team says, and what the systems show.
- The org chart, now and next. Today's chart beside the one the company needs.
- Each department. Now, future, and what we'll do.
- The summary. The work and hours it takes, split into pieces you can take one at a time.
- Where AI goes. Process by process: ready now, ready after fixes, or not advised.
Start with the gap
The roadmap opens with three views of one company. The owner's view. The team's view, from the same questions asked at every level. And the systems: data and processes, the reality check.
From Luba Inz's engagements with 10+ owner-led companies: 7 in 10 owners believe they've delegated when their team says they haven't.
The size of that gap sets the order of the work. More on reading it: owner, team and reality.
Why the org chart comes before the departments
To me, the org chart is the simplest, most convenient way to show several things at once: the hierarchy, the processes and the reporting structure.
The chart has six blocks. People and Admin. Marketing and Sales. Finance. Operations, which changes with the industry. Quality and Customer Success. Executive. The roadmap shows the chart as it is and the chart the company needs next. How the blocks work: the six-block org chart.
Each department: now, future, what we'll do
Every department gets the same three parts.
| Part | What it covers |
|---|---|
| Now | The team, the stack, how processes run, the operating rhythm: daily and weekly stand-ups, reporting, a plan of work |
| Future | The structure and roles, how pay and commission drive the goal, the stack, the rhythm we recommend |
| What we'll do | The work, step by step, with the hours each step takes |
Often I hit the same wall: no ownership, no people. People are the hardest part, because they take a long time to find. Everything else goes faster.
That's why the roadmap names an owner for each block before it names a tool.
How AI fits
You can put AI in when we trust the data and the processes, and we have responsible people. Where those are in place, we can do AI, automation and AI agents.
Each process gets one of three verdicts: ready now, ready after fixes, or not advised. Every agent runs until it hits a gate a person still owns. To test your own list: which processes AI can take over now.
A roadmap says what to fix first and who owns it, before it names a tool.
How it's delivered
All of it is presented at a meeting. Besides the document, we also publish it as a website the team can open.
How long it takes
The roadmap is the Diagnostic's deliverable. It takes two weeks. The interviews are two hours with the owner and 15 minutes with each key person. The rest of the time goes to the systems and data.
In one engagement, $1.2M of $1.4M in overdue receivables was collected in three months, once one person owned receivables.
Find out where your company stands
Efficiency Sprint makes companies operationally ready for AI. The operational AI readiness check is the owner's view in about two minutes. The roadmap adds the team and the systems.
Questions
Is the roadmap a list of AI tools to buy?
No. It says what to fix first, who owns it, and where AI goes once the data and process are ready. Tools come after ownership.
Can we implement the roadmap ourselves?
Yes. Each department's "what we'll do" is written so a team can take it on in pieces. You can also run it with us.
What do you need from us during the Diagnostic?
Two hours of the owner's time, 15 minutes with each key person, and access to the systems: the CRM, accounting and the job or project tools.
Why not start with AI where the team already uses it?
Start there if the data is trusted and one person owns the result. If not, AI repeats what's broken, only faster. The roadmap marks which processes are ready now.