{"slug": "my-ai-agent-was-escalating-every-contract-one-decision-layer-fixed-it", "title": "My AI Agent Was Escalating Every Contract. One Decision Layer Fixed It 📑🤖📑🤖", "summary": "A developer built an Enterprise Contract Intelligence Agent using Hermes Agent, but the first version failed by escalating nearly every contract due to a lack of a confidence-based decision layer. By redesigning the workflow to include risk scoring and confidence thresholds, the agent now intelligently decides whether to approve low-risk contracts or escalate high-risk ones to legal review. The system dynamically plans tasks, extracts clauses, and evaluates risk, behaving like a real enterprise analyst rather than a rule-based script.", "body_md": "*This is a submission for the Hermes Agent Challenge: Build With Hermes Agent*\n\nWhile experimenting with enterprise AI agents, I noticed a common problem:\n\nContract reviews are painfully manual.\n\nVendor agreements, NDAs, MSAs, and SOWs often require legal teams to manually inspect:\n\nI wanted to see:\n\nCan an AI agent intelligently decide what to review and when to escalate?\n\nSo I built an **Enterprise Contract Intelligence Agent powered by Hermes Agent**.\n\nInstead of simply extracting text from contracts, the agent plans tasks, invokes tools, reasons through risks, and decides whether a contract actually requires legal review.\n\nThe interesting part?\n\nMy first version failed badly.\n\nHermes Agent was escalating almost every contract.\n\nNDAs.\n\nVendor agreements.\n\nEven low-risk contracts.\n\nTechnically the system worked.\n\nPractically?\n\nCompletely unusable.\n\nThe issue turned out to be simple:\n\nThe agent lacked a confidence-based decision layer.\n\nIf a single clause looked risky, Hermes escalated immediately.\n\nThat created too many false positives.\n\nSo I redesigned the workflow.\n\nNow Hermes Agent:\n\nThe result:\n\nHermes now behaves much more like a real enterprise analyst instead of a rule-based script.\n\nExample output:\n\n```\nContract Type:\nVendor Agreement\n\nRisk Score:\n7.2/10\n\nIssues Found:\n❌ Missing termination clause\n❌ SLA definition unclear\n⚠ Liability section weak\n\nConfidence:\n89%\n\nRecommendation:\nEscalate to Legal Review\n```\n\nFor low-risk contracts:\n\n```\nContract Type:\nNDA\n\nRisk Score:\n2.1/10\n\nIssues Found:\n✅ Confidentiality present\n✅ Termination clause present\n\nConfidence:\n94%\n\nRecommendation:\nApproved\nContract PDF\n        ↓\nHermes Master Agent\n        ↓\nTask Planning\n        ↓\nClause Extraction\n        ↓\nRisk Detection\n        ↓\nConfidence Scoring\n        ↓\nCompliance Check\n        ↓\nFinal Recommendation\n1. Read uploaded contract\n2. Identify contract type\n3. Extract important clauses\n4. Detect missing sections\n5. Evaluate business risk\n6. Calculate confidence\n7. Decide escalation\n```\n\n(Adding screenshots/video walkthrough soon 🚀)\n\nRepository:\n\n```\nhttps://github.com/yourusername/hermes-contract-intelligence-agent\n```\n\nExample decision logic:\n\n``` python\nclass ContractDecisionAgent:\n\n    def should_escalate(\n        self,\n        risk_score,\n        confidence\n    ):\n\n        if (\n            risk_score > 0.7\n            and confidence > 0.8\n        ):\n\n            return (\n                \"legal_review\"\n            )\n\n        return (\n            \"approved\"\n        )\n```\n\nHermes Agent sits at the center of the system.\n\nInstead of hardcoding a workflow, I used Hermes for:\n\nHermes breaks the task into smaller reasoning steps.\n\nExample:\n\n```\nRead contract\n↓\nDetermine type\n↓\nExtract clauses\n↓\nEvaluate risk\n↓\nDecide escalation\n```\n\nHermes invokes multiple tools dynamically:\n\n```\nparse_pdf()\n\nextract_clauses()\n\nrisk_detector()\n\ncompliance_checker()\n\nsummary_generator()\n```\n\nDifferent contract types require different reasoning paths, and Hermes dynamically chooses what to do next.\n\nThe agent doesn't just summarize documents.\n\nIt reasons through:\n\nThis felt like a much more realistic enterprise use case for AI agents.\n\nOne big lesson from building this:\n\nAgentic systems become useful only when they can decide\n\nwhat to do next, not just generate text.\n\nThat’s where Hermes Agent really stood out for me.\n\nThanks for reading 🚀", "url": "https://wpnews.pro/news/my-ai-agent-was-escalating-every-contract-one-decision-layer-fixed-it", "canonical_source": "https://dev.to/sridhar_s_dfc5fa7b6b295f9/my-hermes-agent-couldnt-decide-which-contracts-needed-legal-review-one-planning-layer-fixed-it-11c3", "published_at": "2026-05-26 08:52:38+00:00", "updated_at": "2026-05-26 09:04:28.890575+00:00", "lang": "en", "topics": ["ai-agents", "artificial-intelligence", "natural-language-processing", "ai-products", "ai-tools"], "entities": ["Hermes Agent", "Enterprise Contract Intelligence Agent"], "alternates": {"html": "https://wpnews.pro/news/my-ai-agent-was-escalating-every-contract-one-decision-layer-fixed-it", "markdown": "https://wpnews.pro/news/my-ai-agent-was-escalating-every-contract-one-decision-layer-fixed-it.md", "text": "https://wpnews.pro/news/my-ai-agent-was-escalating-every-contract-one-decision-layer-fixed-it.txt", "jsonld": "https://wpnews.pro/news/my-ai-agent-was-escalating-every-contract-one-decision-layer-fixed-it.jsonld"}}