M&A Integration
When two organizations combine, their architecture repositories rarely speak the same language. The integration question — what overlaps, what consolidates, what stays — is an architecture question, and doing it by hand across two large models takes months.
How AI-augmented architecture handles it
AI Power Tools compares applications, capabilities, infrastructure, and processes across both models, resolves naming-convention differences semantically, and surfaces consolidation candidates with supporting evidence. Decisions persist as traceable connectors in the combined model — so the rationale is captured, not lost in a spreadsheet. The architect adjudicates; the AI does the cross-referencing that would otherwise consume weeks.
Because the architect stays the translator between business and IT, the consolidation recommendations come with the context leadership needs to act — not just a list of duplicates.
From two models to one decision base
Semantic comparison
Applications, capabilities, infrastructure, and processes compared across both repositories — even when they're named differently.
Consolidation candidates
Redundancies and overlap surfaced with evidence-backed rationale for each recommendation.
Decisions in the model
Accepted decisions persist as connectors in the combined model — an audit trail, not a side document.
Facing an integration?
Talk to us about scoping an M&A integration program on your Sparx EA repositories.
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