AI Potential Analysis: From Actual Processes to Prioritized Use Cases

cimt’s AI potential analysis identifies where AI truly adds value to your processes—not based on ideas, but on actual workflows and volumes of activity. The result: prioritized use cases with demonstrable business value, a robust target vision, and a pilot project ready to go.

Why Conduct a Potential Analysis?

Use Cases Without a Rating

Ideas are there—but they aren't consistently evaluated in terms of business value, feasibility, and risk. There is no robust prioritization process.

Shadow AI

Use of GenAI via personal accounts—without governance, without traceability, and with risks to sensitive information.

No clear vision

It is unclear which use cases are truly worthwhile, what benefits they offer, and how they can be operated securely.

What the Analysis Reveals

Our Four-Phase Approach

Safe AI usage in the short term, while simultaneously establishing a robust foundation for prioritized use cases—governance and business value considered together from the very beginning.

1

Establishing Safe AI Use

Controlled corporate access instead of shadow AI—in parallel and as an option, e.g., using a GDPR-compliant platform.

2

Potential Analysis Based on Real-World Processes

A business process analyst identifies activities, volumes, and media breaks during workshops and models relevant processes (BPMN).

3

Prioritization, Vision, and Roadmap

Use cases are prioritized based on their benefits, feasibility, data availability, security, and operational viability, and are then integrated into a consistent target vision.

4

Prepare the pilot

A prioritized use case is prepared for launch: scope, success criteria, security and operational checks, and go/no-go criteria.

Target State: Clear Separation of Use and Governance

This is what safe, controllable AI usage looks like—the goal the analysis is working toward—from its use in day-to-day work to governance and operations:

Departments & StaffUse in Everyday Work—Secure, Controlled, Productive
Secure Enterprise Access for AI
Centralized, controlled access instead of private accounts.
Identity/SSO IntegrationUser & Group ManagementUsage GuidelinesLogging & Transparency
A Secure Starting Point – Governance from the Very Beginning.
Knowledge and Data Sources by Use Case
Only relevant sources, integrated as needed.
DMSIntranetPoliciesProcess DocumentsTicketsKnowledge Bases
Focus on quality, timeliness, and permissions.
AI Features by Use Case
Models and features that deliver added value in a business context.
Assistants & ChatSearch & ResponseSummary & ExtractionClassificationDecision Support
Earmarked and monitored.
Governance & Operations
Safety, traceability, and reliable operation.
Roles & PermissionsLogging & Audit TrailsTraceabilityISMS-Oriented ProcessesOperations & Support
Trust Through Oversight.

The Role of the Business Process Analyst

The business process analyst is an integral part of the process. He or she conducts team-based workshops to identify potential and models selected processes according to BPMN. This approach not only collects use cases but also evaluates them based on real workflows, activity volumes, and process variations—providing a solid foundation for prioritization, identifying cost-saving opportunities, and the subsequent implementation of a pilot project.

Frequently Asked Questions About AI Potential Analysis

A structured analysis of your processes that identifies where AI can deliver tangible value. Rather than simply gathering ideas, we evaluate use cases based on real-world workflows and volume of activity, assessing them in terms of business value, feasibility, and risk.

That depends on the number of areas involved and the depth of the process. We work in phases with clear scope limits—so that after each phase, you have a solid basis for decision-making without having to commit too early.

Prioritized use cases with a transparent evaluation, a target vision comprising use cases, governance building blocks, and integration principles, as well as a ready-to-launch pilot use case with scope, success criteria, and go/no-go criteria.

The business process analyst identifies activities, volumes, and media breaks during workshops and models relevant processes according to BPMN. This allows use cases to be evaluated based on real processes—not just on ideas.

Both processes run in parallel: Controlled, GDPR-compliant use—for example, with Langdock —immediately reduces shadow AI, while the potential analysis identifies the most valuable use cases.

In what areas does AI provide real added value for your organization?

Let’s schedule a no-obligation initial consultation to determine which of your processes would benefit from an AI potential analysis.

Request an Initial Consultation

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