ProcureIQ is an autonomous AI agent that prepares software contract renewals end-to-end in under 20 seconds — detecting upcoming renewals, pulling negotiation history from memory, gathering live market intelligence, computing BATNA (Best Alternative to a Negotiated Agreement), generating a cited negotiation brief, drafting a vendor outreach email, and routing for internal approval — all without human intervention. Pitched as: "The autonomous procurement analyst for mid-market companies that can't afford Tropic ($36K/yr). Self-hosted for ~$600/yr." 10-step ReAct loop powered by IBM Watsonx Orchestrate ADK (tool registration), IBM Watsonx.ai Granite-3-8b-instruct (brief + email generation), IBM Watsonx slate-30m embeddings (semantic cache), Tavily (4 parallel vendor intelligence queries), and Redis (SemanticCache for 7-day vendor intel + long-term negotiation memory via Agent Memory Server). Key capabilities: - Live market intelligence: pulls competitor pricing, vendor red flags, and financial signals from 20+ sources per vendor via Tavily - Semantic cache: RedisVL SemanticCache stores intel with IBM Watsonx embeddings — cache hits return in <200ms, saving Tavily credits - Long-term memory: Redis Agent Memory Server retains negotiation history across sessions; agent cites past outcomes when computing leverage - BATNA calculator: computes target price, walk-away price, discount %, leverage points, and a 0–100 confidence score from contract + usage + intel data - Fully template-fallback: demo runs without LLM keys; IBM Watsonx unlocks LLM-generated briefs and emails Demo scenarios: A) Datadog (strong leverage) — 48 unused seats + competitor pricing → 20%+ target discount B) Snowflake (weak leverage) — 95% utilization → agent honestly says "weak position" C) Cache hit — re-run any vendor → Redis returns intel in <200ms, no Tavily credits used
Built at Enterprise Agents Hackathon: Powered by IBM Watsonx Orchestrate AI Labs, Tavily, and Redis
ProcureIQ — Autonomous Procurement Analyst Agent
ProcureIQ is an autonomous AI agent that prepares software contract renewals end-to-end in under 20 seconds — detecting upcoming renewals, pulling negotiation history from memory, gathering live market intelligence, computing BATNA (Best Alternative to a Negotiated Agreement), generating a cited negotiation brief, drafting a vendor outreach email, and routing for internal approval — all without human intervention. Pitched as: "The autonomous procurement analyst for mid-market companies that can't afford Tropic ($36K/yr). Self-hosted for ~$600/yr." 10-step ReAct loop powered by IBM Watsonx Orchestrate ADK (tool registration), IBM Watsonx.ai Granite-3-8b-instruct (brief + email generation), IBM Watsonx slate-30m embeddings (semantic cache), Tavily (4 parallel vendor intelligence queries), and Redis (SemanticCache for 7-day vendor intel + long-term negotiation memory via Agent Memory Server). Key capabilities: - Live market intelligence: pulls competitor pricing, vendor red flags, and financial signals from 20+ sources per vendor via Tavily - Semantic cache: RedisVL SemanticCache stores intel with IBM Watsonx embeddings — cache hits return in <200ms, saving Tavily credits - Long-term memory: Redis Agent Memory Server retains negotiation history across sessions; agent cites past outcomes when computing leverage - BATNA calculator: computes target price, walk-away price, discount %, leverage points, and a 0–100 confidence score from contract + usage + intel data - Fully template-fallback: demo runs without LLM keys; IBM Watsonx unlocks LLM-generated briefs and emails Demo scenarios: A) Datadog (strong leverage) — 48 unused seats + competitor pricing → 20%+ target discount B) Snowflake (weak leverage) — 95% utilization → agent honestly says "weak position" C) Cache hit — re-run any vendor → Redis returns intel in <200ms, no Tavily credits used
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