Find the Right First Improvement Before You Invest
A focused paid diagnostic for manufacturers that need to decide what process to improve, why it matters, and what should happen next. It evaluates process, people, data, governance, technology, and measurable business value together—without beginning with a favored software tool.
A disciplined decision package—not unpaid sales discovery.
Who it is for
Established small and mid-sized manufacturers with a meaningful process problem, an identifiable sponsor, reasonable access to the work, and a decision that could follow the assessment.
What is included
One primary facility or operating location; up to three related process areas; up to six stakeholder interviews; and one recommended first workflow.
Target duration
Approximately 10 business days after agreed access and kickoff. The clock pauses when required access, interviews, or data are delayed.
What it is not
Free sales discovery, detailed implementation, a cybersecurity audit, or a guarantee that estimated savings will be realized.
Delivery
Local-first within the Greenville-area service radius, with remote interviews, analysis, and report preparation as appropriate. Travel and overnight requirements are handled separately.
Scope changes
Additional sites, process areas, interviews, data analysis, or implementation work require written approval before they are added.
Good Fit / Not Yet a Fit
The strongest assessments begin with a practical business need, the right people at the table, and a shared commitment to responsible implementation.
Good Fit
- Leadership is willing to define a business problem
- Employees can participate in process discovery
- The company wants measurable outcomes
- The organization is willing to establish human review and ownership
Not Yet a Fit
These conditions usually point to preparation that should happen before an assessment can produce a responsible recommendation.
- The company wants AI solely because competitors are using it
- No process owner is available
- The goal is to remove all human accountability
- The company expects guaranteed savings before discovery
- The project depends on placing protected information in unapproved public tools
What we need from your team
The assessment is strongest when it begins with real process evidence and the people who own the decisions.
- An executive sponsor and a process owner
- Timely stakeholder interviews and decision-maker attendance
- Representative process examples or available baseline data
- Available process documents, systems context, and selected observations
- Honest constraints, including data, governance, and workforce realities
- Agreement on the problem boundary, success criteria, and access plan
Step Next Training documents evidence gaps and assumptions. It does not fabricate a baseline or inflate speculative benefits.
Enough DMAIC work to make a responsible decision.
Clarify the decision
Confirm the business problem, process boundary, sponsor, owner, goals, constraints, and success criteria.
Map the current work
Review available measures, records, examples, systems context, observations, and evidence quality.
Prioritize opportunities
Identify likely causes, bottlenecks, readiness gaps, risks, dependencies, feasibility, and qualified potential value.
Define the concept
Recommend the appropriate mix of process change, AI, automation, data, controls, and training at concept level.
Plan sustainment
Identify ownership, measures, governance, training, support, and early sustainment requirements.
Boundary: Full Improve and Control execution is not included. The assessment creates sufficient evidence to decide whether to stop, prepare, train, scope, or proceed into a full improvement engagement.
Executive-ready deliverables your team can reuse.
Executive findings summary
Business problem, key evidence, strongest opportunities, major risks, and the recommended next action.
Current-state process view
Process boundary, actors, handoffs, systems, delays, decision points, exceptions, and pain points.
Baseline & evidence register
Available measures, data quality, assumptions, gaps, and confidence level.
Opportunity register
Candidate improvements assessed for value, feasibility, readiness, risk, and dependencies.
Recommended first workflow
Why it should be first, expected outcome, scope concept, and what is excluded.
Preliminary value case
Benefit categories, reasonable range, assumptions, evidence confidence, and qualified potential value.
Readiness & risk profile
Findings across process, data, workforce, governance, security, technology, and sponsorship.
DMAIC implementation charter
Problem statement, goal, scope, sponsor, owner, measures, phases, decision gates, and dependencies.
90-day action roadmap
Immediate actions, owners, sequencing, decisions, and recommended Step Next Training or customer-led work.
Opportunity-to-decision workflow
A sample structure only; the assessment report is built from your evidence.
Clear evidence standards and a defined value test.
You keep control of the next step.
Practical answers before you commit.
Can we start with one clearly bounded workflow?
Yes. When evidence is sufficient for responsible scoping, a direct-to-scope exception may be appropriate instead of forcing an unnecessary assessment.
Will AI always be the recommendation?
No. The recommendation may be process simplification, training, data preparation, governance work, automation, AI, or no technology.
Can portions be done remotely?
Yes. Interviews, document review, analysis, and report preparation can be remote when on-site observation would not materially improve the evidence.
Does the fee buy implementation?
No. The fee covers the independent, reusable assessment decision package. Detailed implementation and additional work are separately scoped.
Ready to choose a responsible first improvement?
For small and mid-sized manufacturers—typically organizations with approximately 20–500 employees—across Upstate South Carolina, Charlotte, and Western North Carolina, with remote engagements across North America.