AI-assisted post-merger procurement analysis service
A service that points Claude Code at two merging companies' contract portfolios to answer vendor-spend questions — renegotiation leverage, sized savings, and renewal deadlines — with every answer traceable to a specific contract page or invoice line. The core insight is that raw contract data silently breaks naive LLM extraction (long documents that never ingest, orphaned amendments, restated totals, tables split across pages), so the engagement is won by building a robust structuring pipeline first and only then letting the agent work.
online B2B Service / Consulting / Agency
From AI Engineer — Claude Code Looked Right but Missed $800K - Natalia Connolly & Kevin Madura, AlixPartners at 00:52
Problem: After a merger there is no holistic view of hundreds of vendors and tens of thousands of contracts across unlinked databases; off-the-shelf LLM answers look complete but contain wrong totals (one was off by about $800,000) and wrong act-by dates (renewal deadline a month late), which can cost real money if trusted.
For: Procurement leads at companies going through an M&A consolidation who need to negotiate with shared vendors and must answer any objection with a citation.
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Examples
- Harbor Health acquiring Summit Health Plan (synthetic replica of a real large healthcare company acquiring a smaller niche player), sharing a vendor called Acme Health Services — the analysis found renegotiation opportunities and an act-by date, with the naive agent's errors corrected.
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