Make the operating challenge clear.
An enterprise diagnostic establishes what is happening, what constrains performance, and which change is worth testing. Begin with one defined business challenge.
Discuss a diagnosticAgree the question first.
Start with an operating problem that has a responsible owner: a slow handoff, repeated rework, fragmented information, or a process that cannot meet demand. Define where the assessment begins and ends, which teams participate, and what decision the findings must support.
The scope sets the evidence to examine, the access required, the people involved, and the agreed deliverables. Timing and commercial terms depend on that scope and are agreed before work begins.
Examine the work end to end.
Trace the workflow across the people and systems that carry it. Review the normal path alongside exceptions, manual corrections, approvals, and recovery. Distinguish hands-on effort from time spent waiting.
Establish a baseline using information the operating team can explain. Assess process changes and existing system capabilities alongside integration, automation, or applied AI. The diagnosis should make the choice of approach easier to justify.
- Workflow boundaries, dependencies, and accountable owners.
- Available evidence of volume, handling time, delays, and rework.
- Information quality, system access, and integration constraints.
- Approval boundaries, failure consequences, and operating controls.
The workflow mapping guide provides a starting worksheet.
Leave with a decision the team can use.
Depending on the agreed scope, the assessment may produce a current-state workflow, an evidence-backed problem statement, a prioritized set of improvements, and a proposed pilot or implementation sequence. Any remaining uncertainty should have an owner and a way to resolve it.
The recommendation may be a targeted process correction, better use of current software, a bounded technical pilot, or further investigation. A build proceeds when the evidence, ownership, and business case support it.
Define the success measures, acceptance evidence, dependencies, and recovery requirements before implementation. Use the AI pilot checklist or business-case calculator to examine the next step.
Prepare the right people and evidence.
Identify the business sponsor, workflow owner, people who perform the work, and relevant technology or control owners. Useful starting material can include a high-level process description, existing performance measures, a system inventory, and representative examples that the organization is permitted to share.
Keep the initial inquiry high level. Agree access and a secure channel before sharing confidential records. The engagement defines who can provide access, validate findings, approve changes, and take operational ownership.
Implementation can then continue through operations modernization or enterprise AI integration, according to the operating need.
Bring one priority into focus.
Describe the workflow, the constraint, and the decision your organization needs to make.
Discuss a diagnostic