What does a process-intelligence platform client look for in a consultation?
A process-intelligence platform client looks to see how its processes actually unfold, from the traces left in its systems, and not as it imagines them. The operations manager who writes the consultation wants to reconstruct the real process from the event logs of its ERP or CRM, spot gaps and bottlenecks, then act. Its fear is a tool that produces fine diagrams but does not connect to its data and leads to no decision.
For a seller, the consequence is direct: the response that praises visualisation loses, because the client wants a faithful and actionable picture; the response that proves connection to source systems, fidelity of discovery and the move to action wins. Because event logs often contain personal data, their processing is governed by the data protection regulation applicable in your market (in the United States, sectoral privacy laws and state laws such as the CCPA; in the United Kingdom, the UK GDPR and the Data Protection Act 2018), which the client expects to be handled.
Which dimensions must a process-intelligence platform prove?
A response is judged on four dimensions, because these decide whether the client sees accurately and acts.
| Dimension | What the client fears | What the seller must prove |
|---|---|---|
| Connectivity to sources | a tool cut off from its systems | connection to the logs of the ERP, the CRM, the applications |
| Fidelity of discovery | a flattering but false diagram | reconstruction of the real process from the traces |
| Gap analysis | seeing without understanding the problem | detection of bottlenecks, gaps, rework |
| Move to action | a finding with no follow-up | improvement, alerting, triggering automations |
A response that proves these four dimensions speaks to the client's real need; a response focused on visualisation covers only part of it.
How does the client judge a response to a process-intelligence consultation?
A process-intelligence client most often judges without an announced scoring grid, comparing responses on the real gain in visibility and action. When a criteria questionnaire accompanies the consultation, the weighting follows its priority processes; failing that, it is understanding of the need, readability of the proof and clarity of the price that decide. The proof of concept on its real logs takes precedence over assertion, and the ability to lead to action weighs as much as discovery itself.
The concession that clarifies everything
A simple, stable and already well-known process can be reviewed by hand without a process-intelligence platform being justified. The value appears on complex processes, split across several systems, where the gap between the imagined process and the one actually executed ends up costing dearly.
The mistakes that lose a process-intelligence consultation
- Selling visualisation: the client wants a faithful and actionable picture, not a nice diagram.
- Staying vague on connectivity: without connection to source systems, discovery is worthless, and it gets tested.
- Neglecting personal data: event logs often carry data covered by the data protection regulation applicable in your market.
- Stopping at the finding: an analysis with no move to action leaves the client facing its problem.
- Running the proof of concept on sample data: it is won on the client's real logs.
On the Optivalue.ai platform, which publishes this site, the analysis agent classifies each requirement in the consultation before drafting and matches it to the company's documents, so that every answer cites its source and its level of proof.
Frequently asked questions
How does a process-intelligence response stand out when the platforms look alike?
A process-intelligence response stands out through a faithful proof of concept on the client's real logs, a demonstrated move to action and a clear price. With comparable features, proven connection to source systems and a readable offer weigh more than a flattering diagram.
How do you prove the fidelity of process discovery?
By showing, on the client's real logs, that the reconstructed process matches the observed unfolding, gaps and rework included. Fidelity is a criterion, not a promise.
What should you say about data protection in a process-intelligence response?
Describe how event logs are processed, where, by whom, and how the personal data they contain is protected. It is a point the attentive client checks.
How do you show the move to action?
By describing the alerts, the improvement recommendations and the triggering of automations from the detected gaps. Action distinguishes a platform from a mere dashboard.
How do you prepare for the proof of concept?
By obtaining an extract of the client's event logs and showing the connection, the discovery and the analysis on its real processes.
Sources cited
- Data protection covering personal data in event logs: in the United States, sectoral privacy laws and state laws such as the CCPA; in the United Kingdom, the UK GDPR and the Data Protection Act 2018; the applicable rule in each market should be verified.
- ISO/IEC 25010, quality characteristics of software products.
Work a real process-intelligence consultation on your own documents
Bring a real consultation for a process-intelligence platform. You see the requirement-extraction coverage, the sources cited on the page and the gap analysis on your response, not a scripted demo.
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