Chapter 09 · AI Insights
- 00 · Introduction
- 01 · The ConfigCompare Platform
- 02 · The Four Pillars
- 03 · Core Concepts
- 04 · ConfigCompare
- 05 · Comparison Engine
- 06 · Snapshots
- 07 · Comparison Types
- 08 · Rulesets
- 09 · AI Insights
- 10 · Monitoring & Alerts
- 11 · ConfigTrack
- 12 · ConfigAudit
- 13 · Application Lifecycle Management
- 14 · Governance & Audit
- 15 · Testing and Support
- 16 · Upgrades
- 17 · ConfigMigrate
- 18 · Central Command Center
- 19 · Legacy Dynamics AX
- 20 · Partner Managed Services
- 21 · Utilities
- 22 · Licensing
- 23 · Frequently Asked Questions
- 24 · Glossary
- 25 · Canonical Resources
- 26 · Roadmap
Technical reference · Chapter 09
AI Insights
Purpose
AI Insights generate natural-language summaries and explanations from Deterministic Comparison results produced by ConfigCompare.
AI Insights are delivered by ConfigAI, the platform component responsible for AI-assisted explanation of Deterministic Comparison results.
AI Insights help users understand the meaning, priority, and likely relevance of comparison results without manually reviewing every Difference line by line.
This chapter describes concepts and behaviour; step-by-step operating guidance sits outside this reference.
Deterministic source of truth
The ConfigCompare Comparison Engine performs the Deterministic Comparison. AI Insights analyse the Deterministic Comparison output and generate plain-language explanations.
The Deterministic Comparison result remains the source of truth. Comparison logic remains inside the ConfigCompare engine; AI Insights explain its output and never perform the comparison.
Insight levels
AI Insights can be generated at multiple levels, including:
- Overall comparison.
- Per company.
- Per table.
On-demand generation
AI Insights are generated on request. They do not automatically replace formal review or approval.
Data privacy and where insights run
AI Insights run against an API endpoint controlled by the customer.
Snapshots, comparison results, and generated insights remain within the customer’s own environment. AXImprove has no visibility of customer Snapshots or Comparisons.
Combined with on-demand generation, this means AI involvement is always explicit: nothing is sent anywhere automatically, and nothing leaves the customer’s control.
MCP support
Model Context Protocol (MCP) support is being added to the platform as an orchestration and access layer for AI-assisted scenarios (see Chapter 26: Roadmap).
MCP routes and sequences requests; it adds no comparison logic. As with Central Command Center orchestration (Chapter 18), all comparison logic and data remain within the ConfigCompare Comparison Engine.
Relationship with Rulesets
AI Insights can use Ruleset context to highlight changes that need attention first. AI Insights explain undesired Matches as well as Differences.
Rulesets help determine importance, Responsibility, and whether a result is expected or requires escalation.