Multi-Agent AI: Analyst-Ready Briefs (LangGraph + MCP) by Amol BhosaleMulti-Agent AI: Analyst-Ready Briefs (LangGraph + MCP) by Amol Bhosale

Multi-Agent AI: Analyst-Ready Briefs (LangGraph + MCP)

Amol Bhosale

Amol Bhosale

Property Valuation AI Agent for Acquisition Screening

IndustryPropTech / AI AgentsLocationGermanyClientProperty investment & resale firmCapabilityAutomated comparables + acquisition price rangesApproachAI agent · structured valuation outputThroughput~2 hours → minutes per propertyKey ResultMore deals screened at the same headcount

A German investment firm screened acquisitions by hand: gathering comparable sales and judging an acquisition price range, around 2 hours per property. Slow, and inconsistent from one analyst to the next.
I built the valuation as an AI agent, not a dashboard. It pulls comparables, models an acquisition price range and returns a structured output the team can act on, compressing a 2-hour manual workup into minutes, so far more deals get screened at the same headcount.
Outcomes delivered
Hours → minutes — per-property valuation, automated
More deals — screened at the same headcount
Structured output — consistent ranges across analysts
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Posted Aug 31, 2026

Built a LangGraph multi-agent intelligence stack for an audit and advisory firm.