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AI Assessment and Roadmap for Tennessee Manufacturers
Knowing where the opportunities are is not the same as knowing what to do first. This engagement turns a list into a sequence, with a baseline you can measure against and a workforce plan built beside the technical one.
A multi-day engagement with no training component. This is for manufacturers past awareness who are deciding what to fund and in what order.
Eighteen structured questions across eight areas of your operation. Quality and inspection, production planning, maintenance, workforce, supply chain, quoting, safety, and systems.
A written report rating every opportunity by priority and effort. With an executive summary and an action plan carrying named owners and target dates.
A roadmap in three phases: Quick Wins, Build, and Scale. With a metrics baseline, an impact tracker, and a check-in schedule built in from the start.
A fee-based engagement, scoped to your operation. Depth and duration depend on plant size, the systems in use, and how many sites are in scope.
Scope it with a consultant
Every roadmap is shaped by what your plant already runs and what you are trying to reach. Your Solutions Consultant will size the engagement against your operation.
How This Differs From a Readiness Day
Both start on your floor. They answer different questions, and a manufacturer who is clear on which question they have will not waste a day on the wrong one.
One day. Four hours of hands-on training for your team, then a walkthrough that identifies two or three quick wins. The output is a one-page Opportunity Snapshot.
It answers: where would AI actually help us, and what could we start on.
AI Assessment and Roadmap
Multiple days, no training. A full structured assessment of the operation, a written report, and a phased plan with a baseline and a check-in schedule.
It answers: what do we do, how, when, and in what order.
Inside the Written Report
Tennessee MEP uses the same structure at every plant, so the document reads consistently and can be handed to someone who was not in the room.
Executive summary
Where your operation stands, what is at risk, and what we recommend, written for the person who has to approve the next step.
Top opportunities, ranked
Named and ordered, with a quick win called out separately so there is something to begin immediately while the larger work is scoped.
Focus area analysis
Eight areas of the operation, each recording what we heard, the AI potential, and a rating for both priority and effort.
The full assessment record
Every question and what your team said in response, so the reasoning behind each recommendation is visible rather than asserted.
An action plan
Numbered items with a named owner and a target date on each. Some belong to us. Most belong to you.
The Roadmap Runs in Three Phases
Sequencing decides whether a program survives its first year. We start every roadmap with quick wins, because if the first result takes six months to arrive, trust erodes before the second project is ever funded.
Quick Wins
First ninety days
Prompting-based and Custom GPT solutions that need no IT involvement. Repetitive, document-heavy work where a qualified person already reviews the output.
Speed is added without adding risk, and the result funds the next phase.
Build
Three to twelve months
Deeper improvements that connect AI to systems you already run. These need some data access or process change, but no major infrastructure.
Workflow redesign and change management carry as much weight here as the technology does.
Scale
Twelve months and beyond
Platform-level investment such as machine vision, predictive maintenance, or an AI-connected ERP, taken on only when readiness and budget are both in place.
Sequenced last on purpose. Starting here is the most common expensive mistake.
A roadmap without a check-in schedule is just a document. The next review date is set before the roadmap session ends, and progress is tracked against the baseline rather than remembered.
Why the People Side Sits Inside the Plan
The biggest obstacle to AI adoption in a plant is rarely technical. Workers worry about what it means for their jobs, supervisors are unsure how to talk about it, and leadership is not always aligned on who owns it. Skip that conversation and the tools quietly go unused, then the pilot gets written off as a technology failure when it never was one.
So the roadmap carries a workforce and change plan next to the technical sequence: who gets trained and in what order, what leadership communicates and when, and how the floor sees results from the first phase rather than only hearing about them.
Tennessee MEP has a workforce consultant on the team for exactly this, which is unusual in an AI engagement and is a large part of why adoption holds after the consultants leave.
Ready to Get Started?
Every roadmap is scoped to the operation it is built for. Your Solutions Consultant will talk through your systems, how many sites are involved, and how deep the assessment needs to go.
Most manufacturers reach this engagement through a Readiness Day, though it is not a requirement.
Common Questions
How is this different from an AI Readiness Day?
A Readiness Day is one day that combines four hours of hands-on training with a walkthrough, and it produces a one-page Opportunity Snapshot naming two or three quick wins. The AI Assessment and Roadmap is a multi-day engagement with no training component. It works through eighteen structured questions across eight areas of your operation, produces a full written report rating each opportunity by priority and effort, and builds a phased roadmap with a baseline and a check-in schedule. The Readiness Day tells you where AI would help. The Assessment and Roadmap tells you what to do, how, when, and in what order.
Do we have to complete a Readiness Day first?
No, though most manufacturers arrive this way and it makes the engagement faster because the team already understands the tools. If your people have used AI, or you have already run pilots and need the sequencing, the measurement, and the governance built out, Tennessee MEP can begin with the assessment directly. Your Solutions Consultant will tell you which starting point fits after one conversation about your operation.
Why does the roadmap start with small projects instead of the high-value ones?
Because momentum matters more than ambition early on. Quick wins in the first ninety days are prompting-based or Custom GPT solutions that need no IT involvement, applied to repetitive work a qualified person already reviews. They build confidence, prove value, and produce the evidence needed to fund the next phase. Manufacturers who open with machine vision or predictive maintenance frequently stall before anything reaches production, and the whole effort gets written off.
How do we protect customer prints and controlled data through all of this?
Governance is part of the roadmap rather than an afterthought. The plan defines which tools are approved, what categories of material must never be entered into a public tool, who reviews AI-assisted output before it reaches a customer, and how that review is documented. For manufacturers handling customer drawings, controlled unclassified information, or defense work, Tennessee MEP can also scope contained deployments that run against your documents inside your own environment.
How do we know whether any of it worked?
A metrics baseline is recorded before implementation begins, covering measures such as labor hours, rework and scrap, throughput, time to quote, and onboarding time. An impact tracker and a check-in schedule are built into the roadmap from the start. The most common reason an AI pilot cannot be renewed for a second year is that nobody wrote down the starting point, which makes the improvement impossible to prove at budget time.
You know what to do. The question is what order.
Tennessee MEP consultants build the sequence, the baseline, and the workforce plan alongside it, then stay through implementation.
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