{
  "schema": "aibast-canonical-transcripts/1.0",
  "captured_at": "2026-10-07T01:32:37.153957+00:00",
  "solution": "@aibast-agents-library/supplier-risk-monitoring",
  "onepager": "Supply Risk Monitoring Agent one-pager.pptx",
  "brainstem_version": "0.6.16",
  "loaded_tools_after_capture": [
    "SupplierRiskMonitoringAgent"
  ],
  "agent_sources": [
    {
      "path": "agents/@aibast-agents-library/manufacturing_stacks/supplier_risk_monitoring_stack/supplier_risk_monitoring_agent.py",
      "sha256": "5711192300f2f6311f668883879be4b9a424fb982dc37ac49b18205536dd9322"
    }
  ],
  "case_file": "tests/demo_cases/supplier-risk-monitoring.json",
  "case_file_sha256": "62f4977b4143ce747d7ac2d7b3933cc6bcd2240fe7839116bcbf047db564e0b3",
  "strict_isolation": true,
  "transcripts": [
    {
      "case_id": "SR-01",
      "persona": "Supply Chain Director",
      "onepager_promise": null,
      "prompt": "Where is supplier exposure concentrated, and which relationships should leadership review first?",
      "assistant_response": "**Exposure concentration** (per risk_dashboard/supplier_scorecard):\n- **Taiwan \u2013 TechnoCore**: 40% of MCU supply, $4.8M spend, risk score 8.2/10 (HIGH). Single-facility concentration plus cross-strait geopolitical tension (military exercises within 50nm).\n- **China \u2013 Shenzhen Electronics**: 35% of passives, $3.2M spend, risk score 6.5/10 (MEDIUM). Stressed financials (debt-to-equity +35%) and rising defect rate (2.3%).\n- **Malaysia Semicon**: 25% of power ICs, $2.1M spend, risk 3.8/10 (LOW) \u2014 stable, 120% spare capacity.\n\n**Bottom line:** 79% of your $10.1M semiconductor spend ($8M) sits in elevated-risk suppliers.\n\n**Review priority for leadership:**\n1. **TechnoCore (Taiwan)** \u2014 top priority given geopolitical severity and single-site dependency on 40% of MCU supply.\n2. **Shenzhen Electronics (China)** \u2014 financial stress + quality drift warrants near-term scrutiny.\n3. Malaysia Semicon is healthy and could be a diversification lever, not a review target.\n\nWant me to pull the mitigation strategies or financial impact next?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Supplier Risk Dashboard \u2014 Semiconductor Supply Chain\n\n> Fixed synthetic snapshot; no live financial, logistics, ERP, or supplier feed was queried.\n\nRisk profiles for your semiconductor supply chain across Taiwan, China, Malaysia: geopolitical, financial, operational, quality, and logistics risk.\n\n**Supply Chain Exposure:**\n- Taiwan: 40% of MCU supply (TechnoCore)\n- China: 35% of passive components (Shenzhen Electronics)\n- Malaysia: 25% of power ICs (Malaysia Semicon)\n\n**Risk Categories Monitored:**\n- Geopolitical stability\n- Financial health\n- Operational capacity\n- Quality metrics\n- Logistics reliability\n\n**Annual semiconductor spend:** $10,100,000\n**Spend at elevated risk (score >= 5.0):** $8,000,000 (79.2%)\n\n| Supplier | Country | Share | Spend | Risk Score | Risk Level |\n|----------|---------|-------|-------|------------|------------|\n| TechnoCore Semiconductor (Taiwan) | Taiwan | 40% of MCU supply | $4,800,000 | 8.2/10 | **HIGH RISK** |\n| Shenzhen Electronics Co. | China | 35% of passives | $3,200,000 | 6.5/10 | **MEDIUM RISK** |\n| Malaysia Semicon Pte Ltd | Malaysia | 25% of power ICs | $2,100,000 | 3.8/10 | **LOW RISK** |\n\nOther monitored suppliers (outside this semiconductor review): Midwest Casting & Forge 4.9/10; Rheinland Precision GmbH 2.4/10.\n\nSource: [Risk Intelligence + news wires + D365] (synthetic)\n\nShall I show the detailed risk assessment?\n[SupplierRiskMonitoringAgent] ## Supply Risk Assessment\n\n> Synthetic evidence for procurement review; scores are not customer or third-party ratings.\n\n### HIGH RISK: TechnoCore Taiwan (SUP-101)\n- **Risk score:** 8.2/10\n- **Impact:** 40% of MCU supply\n- **Primary concern:** Cross-strait geopolitical tensions\n- **Secondary:** Single facility concentration\n- **Recent events:** Military exercises within 50nm\n- **Dimension scores (0-100):** Quality 82 | Delivery 74 | Financial 68 | Geopolitical 42 (composite health 68.5/100)\n\n### MEDIUM RISK: Shenzhen Electronics (SUP-102)\n- **Risk score:** 6.5/10\n- **Impact:** 35% of passives\n- **Concerns:** Trade restrictions, IP protection\n- **Financial:** Debt-to-equity +35% (stressed)\n- **Quality:** Defect rate 2.3% (up from 1.8%)\n- **Dimension scores (0-100):** Quality 71 | Delivery 78 | Financial 55 | Geopolitical 58 (composite health 66.2/100)\n\n### LOW RISK: Malaysia Semicon (SUP-103)\n- **Risk score:** 3.8/10\n- **Impact:** 25% of power ICs\n- **Strengths:** Political stability, diversified base\n- **Capacity:** 120% of our demand available\n- **Dimension scores (0-100):** Quality 91 | Delivery 88 | Financial 84 | Geopolitical 82 (composite health 86.7/100)\n\nSource: [Risk Intelligence + Financial Data] (synthetic)\n\nWant to see mitigation strategies?",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "TechnoCore Semiconductor",
        "HIGH RISK"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-02",
      "persona": "Procurement Manager",
      "onepager_promise": null,
      "prompt": "Explain why TechnoCore is elevated and show me the evidence by risk dimension.",
      "assistant_response": "TechnoCore (SUP-101) is HIGH risk (score 8.2/10) mainly because it supplies **40% of our MCU volume from a single facility** in Taiwan, amid real cross-strait tension (military exercises within 50nm recorded).\n\n**Evidence by dimension (0\u2013100, higher = healthier):**\n- **Quality: 82** \u2014 solid, not a concern\n- **Delivery: 74** \u2014 decent but below top performer\n- **Financial: 68** \u2014 adequate but not strong\n- **Geopolitical: 42** \u2014 the clear weak spot, dragging composite health to 68.5/100\n\nSo it's not a quality or delivery problem \u2014 it's concentration risk (single facility, 40% of category) layered on top of genuine geopolitical exposure. That combination is what pushes the overall score into HIGH.\n\nWant me to pull the mitigation plan for TechnoCore next?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Supply Risk Assessment\n\n> Synthetic evidence for procurement review; scores are not customer or third-party ratings.\n\n### HIGH RISK: TechnoCore Taiwan (SUP-101)\n- **Risk score:** 8.2/10\n- **Impact:** 40% of MCU supply\n- **Primary concern:** Cross-strait geopolitical tensions\n- **Secondary:** Single facility concentration\n- **Recent events:** Military exercises within 50nm\n- **Dimension scores (0-100):** Quality 82 | Delivery 74 | Financial 68 | Geopolitical 42 (composite health 68.5/100)\n\n### MEDIUM RISK: Shenzhen Electronics (SUP-102)\n- **Risk score:** 6.5/10\n- **Impact:** 35% of passives\n- **Concerns:** Trade restrictions, IP protection\n- **Financial:** Debt-to-equity +35% (stressed)\n- **Quality:** Defect rate 2.3% (up from 1.8%)\n- **Dimension scores (0-100):** Quality 71 | Delivery 78 | Financial 55 | Geopolitical 58 (composite health 66.2/100)\n\n### LOW RISK: Malaysia Semicon (SUP-103)\n- **Risk score:** 3.8/10\n- **Impact:** 25% of power ICs\n- **Strengths:** Political stability, diversified base\n- **Capacity:** 120% of our demand available\n- **Dimension scores (0-100):** Quality 91 | Delivery 88 | Financial 84 | Geopolitical 82 (composite health 86.7/100)\n\nSource: [Risk Intelligence + Financial Data] (synthetic)\n\nWant to see mitigation strategies?",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "SUP-101",
        "Geopolitical"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-03",
      "persona": "Supply Chain Director",
      "onepager_promise": null,
      "prompt": "Which recorded disruptions could threaten continuity, and what exposure should we validate?",
      "assistant_response": "Here's the risk snapshot (synthetic data, needs validation before any action):\n\n**Highest-severity continuity threats:**\n- **TechnoCore (Taiwan)** \u2013 military exercises near the facility + a 5-day port closure delayed 3 shipments. $4.8M annual spend exposed (microcontrollers), backup suppliers exist.\n- **Midwest Casting & Forge** \u2013 force majeure from equipment failure, 7-day halt. $5.6M exposed (aluminum castings), backups available.\n\n**Lower-severity but worth tracking:**\n- **Shenzhen Electronics** \u2013 quality excursion (capacitor defect rate up to 2.3% vs. 0.5% spec) and a pending export-control compliance review.\n\n**Exposure to validate:**\n- Confirm actual shipment delay impact from TechnoCore's port closure against production schedules.\n- Verify Midwest's force majeure timeline and whether the 7-day halt has cascading effects downstream.\n- Check if Shenzhen's defect lot has already shipped into inventory, and get status on the export control review.\n\nWant me to pull the **supplier scorecard** for detailed risk ratings, or jump to **mitigation options**?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Active Disruption Alerts\n\n> Recorded synthetic incidents only; validate against approved sources before action.\n\n| Severity | Date | Supplier | Description |\n|----------|------|----------|-------------|\n| **HIGH** | 2026-02-28 | TechnoCore Semiconductor (Taiwan) (SUP-101) | Military exercises within 50nm of the facility; 5-day port closure delayed 3 shipments |\n| **HIGH** | 2026-03-10 | Midwest Casting & Forge (SUP-104) | Equipment failure at foundry; force majeure declared, 7-day production halt |\n| **MEDIUM** | 2026-03-05 | Shenzhen Electronics Co. (SUP-102) | Quality excursion: capacitor lot C-4410 at 2.3% defect rate (up from 1.8%; spec 0.5%) |\n| **LOW** | 2026-03-12 | Shenzhen Electronics Co. (SUP-102) | New export control regulations announced; compliance review underway |\n\n### Impact Assessment\n\n**TechnoCore Semiconductor (Taiwan)**\n- Annual spend exposed: $4,800,000\n- Category: Microcontrollers\n- Backup suppliers available: Yes\n\n**Midwest Casting & Forge**\n- Annual spend exposed: $5,600,000\n- Category: Aluminum Castings\n- Backup suppliers available: Yes\n",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "SUP-104",
        "force majeure"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-04",
      "persona": "Procurement Manager",
      "onepager_promise": null,
      "prompt": "Compare backup sourcing options for review, but do not contact, qualify, select, or order from any supplier.",
      "assistant_response": "Here's a comparison of backup sourcing options \u2014 purely for your team's review, nothing has been initiated:\n\n**TechnoCore (Taiwan, microcontrollers)** \u2014 $4.8M spend, risk 8.2/10\n- Hanseong Foundry (Korea): 26-wk lead, +8% cost, qualification in progress\n- Lakeside Foundry (USA): 16-wk lead, +15% cost, not yet started\n\n**Shenzhen Electronics (passive components)** \u2014 $3.2M spend, risk 6.5/10\n- Kansai Passives (Japan): 6-wk lead, +5% cost, in qualification\n- Keystone Passives (USA): 4-wk lead, +12% cost, in qualification\n\n**Midwest Casting & Forge (aluminum castings)** \u2014 $5.6M spend, risk 4.9/10\n- Great Lakes Precision Castings (USA): 8-wk lead, +6% cost, in progress\n\nFull diversification across these would run ~$880K/year in cost premium against $13.6M of modeled spend.\n\nThese are flagged as candidates for your procurement team to evaluate \u2014 no outreach, qualification, selection, or ordering has occurred. Want me to pull the mitigation plan or financial impact view next?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Alternative Sourcing Options\n\n> Synthetic recommendation only. No supplier was contacted, qualified, selected, or awarded business; no order, payment term, contract, or alert was changed or activated.\n\n### Alternatives for TechnoCore Semiconductor (Taiwan) (Microcontrollers)\n- **Current spend:** $4,800,000\n- **Current risk:** 8.2/10\n\n| Alternative Supplier | Lead Time | Qual Status | Cost Premium |\n|---------------------|-----------|-------------|--------------|\n| Hanseong Foundry (Korea) | 26 weeks | In Progress | +8% |\n| Lakeside Foundry (USA) | 16 weeks | Not Started | +15% |\n\n**Review option:** Ask authorized procurement owners whether to assess Lakeside Foundry (USA) (16-week lead; synthetic status: Not Started)\n\n### Alternatives for Shenzhen Electronics Co. (Passive Components)\n- **Current spend:** $3,200,000\n- **Current risk:** 6.5/10\n\n| Alternative Supplier | Lead Time | Qual Status | Cost Premium |\n|---------------------|-----------|-------------|--------------|\n| Kansai Passive Components (Japan) | 6 weeks | In Qualification | +5% |\n| Keystone Passives (USA) | 4 weeks | In Qualification | +12% |\n\n**Review option:** Ask authorized procurement owners whether to assess Keystone Passives (USA) (4-week lead; synthetic status: In Qualification)\n\n### Alternatives for Midwest Casting & Forge (Aluminum Castings)\n- **Current spend:** $5,600,000\n- **Current risk:** 4.9/10\n\n| Alternative Supplier | Lead Time | Qual Status | Cost Premium |\n|---------------------|-----------|-------------|--------------|\n| Great Lakes Precision Castings (USA) | 8 weeks | In Progress | +6% |\n\n**Review option:** Ask authorized procurement owners whether to assess Great Lakes Precision Castings (USA) (8-week lead; synthetic status: In Progress)\n\n**Estimated annual cost of full diversification:** $880,000\n**Spend represented by the modeled review scope:** $13,600,000\n\nThis agent does not contact suppliers, change allocations, place orders, or approve qualification.",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "Kansai Passive Components",
        "No supplier was contacted"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-05",
      "persona": "Procurement Manager",
      "onepager_promise": "Recommend proactive mitigation strategies that reduce disruption impact and safeguard revenue",
      "prompt": "What mitigation strategies do you recommend for each of our semiconductor suppliers?",
      "assistant_response": "Here's the mitigation plan per supplier (via the mitigation_plan agent) \u2014 all synthetic recommendations, nothing executed:\n\n**TechnoCore (Taiwan) \u2014 HIGH PRIORITY**\n- Raise safety stock from 30\u219245 days (~$840K)\n- Start qualifying a Korean dual-source (6-month timeline)\n- Reserve air-freight contingency capacity (~$2.1M)\n\n**Shenzhen Electronics (China) \u2014 MONITOR CLOSELY**\n- Shift payment terms Net-30 \u2192 COD to limit exposure\n- Move to 100% incoming quality inspection (from sampling)\n- Strengthen IP protections in contract terms\n- 2 backup suppliers already in qualification\n\n**Malaysia Semicon (Malaysia) \u2014 OPPORTUNITY**\n- Increase order volume +20% to unlock tier discounts\n- Explore a deeper strategic partnership\n- Launch co-development program for custom ICs\n\nWant me to pull the financial impact (costs, ROI, break-even) next?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Risk Mitigation Plan\n\n> Synthetic recommendations for authorized procurement approval; nothing below has been executed.\n\n### TechnoCore (Taiwan) - HIGH PRIORITY\n**Immediate (30 days):**\n- Increase safety stock: 30 -> 45 days ($840K investment)\n- Dual sourcing: Korean supplier qualification started\n- Alternative qualified: 6 months\n- Air freight contingency: $2.1M capacity to reserve\n\n### Shenzhen Electronics (China) - MONITOR CLOSELY\n**Actions:**\n- Payment terms: Net-30 -> COD (protect exposure)\n- Quality inspection: 100% incoming (was sampling)\n- Contract updates: Stronger IP protections\n- Backup identified: 2 suppliers in qualification\n\n### Malaysia Semicon (Malaysia) - OPPORTUNITY\n**Optimization:**\n- Volume increase: +20% (tier discount available)\n- Strategic partnership discussions\n- Co-development program for custom ICs\n\nSource: [Supply Chain + Procurement] (synthetic)\n\nSynthetic recommendation only. No supplier was contacted, qualified, selected, or awarded business; no order, payment term, contract, or alert was changed or activated.\n\nShall I show the financial impact?",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "Increase safety stock",
        "MONITOR CLOSELY",
        "OPPORTUNITY"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-06",
      "persona": "Supply Chain Director",
      "onepager_promise": "Recommend proactive mitigation strategies that reduce disruption impact and safeguard revenue",
      "prompt": "What would those mitigations cost us, and is the investment worth it?",
      "assistant_response": "Here's the breakdown (from the financial impact model):\n\n**Total investment: ~$1.1M**\n- Safety stock increase: $840K (45-day buffer)\n- Dual sourcing program: $125K\n- Enhanced inspection: $48K/year\n- Alternative supplier qualification: $85K\n\n**Is it worth it?**\n- Current exposure: $12.4M potential disruption risk\n- After mitigation: $4.3M (65% reduction)\n- Disruption probability drops from 15% \u2192 4%\n- Break-even only needs an 8.8% disruption probability \u2014 you're currently at 15%, so the math favors acting\n\nBottom line: the investment pays for itself well before the break-even threshold, given current risk levels. Want the 12-month roadmap for how this would roll out?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Risk Mitigation Investment Analysis\n\n> Synthetic planning model; values are estimates for review, not committed budget.\n\n**Mitigation Costs:**\n\n| Action | Investment | Benefit |\n|--------|------------|---------|\n| Safety stock increase | $840K | 45 days buffer |\n| Dual sourcing program | $125K | Supply security |\n| Enhanced inspection | $48K/year | Quality protection |\n| Alternative qualification | $85K | Reduced dependency |\n| **Total Investment** | **$1.098M** | Risk reduction |\n\n**Risk Exposure Reduction:**\n- Current supply risk: $12.4M (potential disruption)\n- After mitigation: $4.3M (65% reduction)\n- Expected probability: 15% -> 4%\n\n**ROI Scenario:**\n- Avoided disruption value: $12.4M\n- Implementation cost: $1.098M\n- Break-even: 8.8% disruption probability\n- Current probability: 15% (favorable)\n\nSource: [Finance + Risk Model] (synthetic)\n\nWant to see the 12-month implementation roadmap?",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "$1.098M",
        "65% reduction",
        "Break-even"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-07",
      "persona": "Supply Chain Director",
      "onepager_promise": "Recommend proactive mitigation strategies that reduce disruption impact and safeguard revenue",
      "prompt": "Lay out a twelve-month plan for putting these protections in place.",
      "assistant_response": "Here's the phased rollout:\n\n**Months 1\u20133 \u2014 Immediate Protection**\n- Boost TechnoCore safety stock\n- Move Shenzhen Electronics to COD terms\n- Start 100% inspection protocol\n- Finish identifying a Korean backup supplier\n\n**Months 4\u20136 \u2014 Qualification**\n- Korean supplier sends samples, goes through testing/validation\n- First production orders at 10% volume\n\n**Months 7\u20139 \u2014 Optimization**\n- Negotiate Malaysia Semicon strategic partnership\n- Consolidate volume, update contracts\n\n**Months 10\u201312 \u2014 Full Resilience**\n- Settle into dual sourcing: 60% Taiwan / 40% Korea\n- Sign Malaysia partnership\n- Target risk score under 4.0 (down from 8.2)\n\nThis is a planning recommendation only \u2014 no supplier contact or order changes happen automatically. Want me to pull up the ongoing monitoring plan that tracks progress against this roadmap?",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## 12-Month Implementation Roadmap\n\n> Synthetic recommended plan for procurement approval; no order, contract, or term change is made.\n\n**Phase 1 (Months 1-3): Immediate Protection**\n- Week 1: Increase TechnoCore orders (safety stock)\n- Week 2: COD terms with Shenzhen Electronics\n- Week 3: 100% inspection protocol starts\n- Week 4: Korean supplier identification complete\n\n**Phase 2 (Months 4-6): Qualification**\n- Month 4: Korean supplier initial samples\n- Month 5: Testing and validation\n- Month 6: First production orders (10% volume)\n\n**Phase 3 (Months 7-9): Optimization**\n- Malaysia partnership negotiations\n- Volume consolidation planning\n- Contract updates completed\n\n**Phase 4 (Months 10-12): Full Resilience**\n- Dual sourcing: 60% Taiwan / 40% Korea\n- Malaysia strategic partnership signed\n- Risk score target: <4.0 (from 8.2)\n\nSource: [Project Management + Procurement] (synthetic)\n\nWant to see ongoing monitoring?",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "Phase 1 (Months 1-3)",
        "60% Taiwan / 40% Korea",
        "Risk score target"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    },
    {
      "case_id": "SR-08",
      "persona": "Procurement Manager",
      "onepager_promise": "Provide continuous monitoring and AI-driven alerts for high visibility and rapid response to emerging risks",
      "prompt": "How would we keep watching these suppliers after the plan is in place?",
      "assistant_response": "Here's the ongoing monitoring approach (via the SupplierRiskMonitoringAgent \u2014 this is a recommended design, nothing is live yet):\n\n**Data feeds (24/7):**\n- Geopolitical news/advisories\n- Financial health (credit, stock, filings)\n- Operational (supplier portals, IoT, certifications)\n- Logistics (shipping, ports, weather)\n- Legal (sanctions, trade restrictions)\n\n**Alert tiers:**\n- Critical \u2192 immediate VP escalation\n- Warning \u2192 daily procurement digest\n- Info \u2192 weekly risk report\n\n**Automated-action rules** (each needs human approval before activating):\n- Risk score >7.5 \u2192 trigger mitigation protocols\n- Financial deterioration \u2192 adjust payment terms\n- Quality issues \u2192 increase inspection level\n- Capacity concerns \u2192 activate backup supplier\n\n**Success targets:** 99.5%+ supply continuity, lower risk-adjusted cost vs. reactive handling, ~18-day early-warning lead time.\n\nNothing here contacts suppliers or changes sourcing automatically \u2014 it's a review-ready monitoring blueprint for your team to approve and operationalize.",
      "agent_logs": "[SupplierRiskMonitoringAgent] ## Real-Time Risk Monitoring System\n\n> Synthetic recommended monitoring design; no feed, alert, or automated action is activated by this agent.\n\n**Data Sources (24/7 Scanning):**\n- Geopolitical: news wires, government advisories\n- Financial: credit ratings, stock prices, filings\n- Operational: supplier portals, IoT, certifications\n- Logistics: shipping data, port congestion, weather\n- Legal: sanctions lists, trade restrictions\n\n**Alert Thresholds:**\n- Critical: Immediate escalation to VP\n- Warning: Daily digest to procurement\n- Info: Weekly risk report\n\n**Automated Actions (recommended rules, each requires approval to activate):**\n- Risk score >7.5: Trigger mitigation protocols\n- Financial deterioration: Payment terms adjustment\n- Quality issues: Inspection level increase\n- Capacity concerns: Backup supplier activation\n\n**Success Metrics (synthetic pilot benchmarks):**\n- Supply continuity: 99.7% (target: 99.5%)\n- Risk-adjusted cost: -12% vs. reactive approach\n- Early warning: 18 days average lead time\n\nSource: [Azure AI + Power Platform + Risk Intelligence] (synthetic)\n\nYour supply chain now has a ready-to-approve design for enterprise-grade risk monitoring and mitigation.",
      "expected_agent": "SupplierRiskMonitoringAgent",
      "must_include": [
        "Alert Thresholds",
        "Automated Actions",
        "Early warning"
      ],
      "model": "claude-sonnet-5",
      "requested_model": "claude-sonnet-5",
      "passed": true
    }
  ]
}
