{
  "study_id": "sxf-enterprise-agent-economics-2026-10",
  "version": "1.0",
  "date": "2026-10-10",
  "currency": "USD",
  "source_catalog": "/data/model-pricing.json",
  "evidence_classification": "Illustrative scenario assumptions, NOT measured agent deployments, benchmark scores, vendor quotes, market averages, or procurement outcomes.",
  "calculation_notes": [
    "Model API direct Standard rates from SXF catalog, effective on date; no batch/priority or committed-use pricing.",
    "Retry overhead is extra calls per originally planned call; not extra whole task attempts.",
    "Uncached input and output token charges only; prompt-cache write, storage, grounding and other variable charges excluded unless manually budgeted as tool fees.",
    "Review cost applies to the specified fraction of all attempted tasks, including failures, and is an added agent operating expense.",
    "Manual work for unsuccessfully automated tasks remains part of the baseline and is not double-counted in agent incremental spend.",
    "Only accepted automated tasks contribute avoidable baseline labor. A realization factor reduces theoretical freed capacity to modeled capturable value.",
    "Year-one agent spend includes recurring operating expense for 12 months plus one-time implementation cost. Sensitivity varies accepted outcome rate holding other inputs fixed.",
    "Modeled ROI is (12 months of captured avoided labor value - year-one agent spend) / year-one agent spend; not financial results from actual deployments.",
    "Payback uses one-time implementation / (captured avoided labor value per month - recurring agent spend), only when positive; excludes timing, discounting and tax."
  ],
  "cases": [
    {
      "id": "support",
      "name": "Customer support triage",
      "sector": "Customer operations",
      "unit": "accepted support task",
      "model_id": "gpt-6-luna",
      "monthly_tasks": 10000,
      "calls_per_task": 3,
      "input_tokens_per_call": 2000,
      "output_tokens_per_call": 600,
      "retry_overhead": 0.12,
      "tool_cost_per_call_usd": 0.004,
      "human_review_fraction": 0.2,
      "review_minutes": 3.5,
      "review_loaded_hourly_usd": 42,
      "monthly_infrastructure_usd": 450,
      "monthly_operations_usd": 1400,
      "monthly_maintenance_usd": 950,
      "monthly_security_usd": 500,
      "monthly_platform_usd": 350,
      "implementation_one_time_usd": 18000,
      "accepted_success_rate": 0.82,
      "manual_baseline_minutes_per_task": 5,
      "manual_baseline_loaded_hourly_usd": 42,
      "value_realization_fraction": 0.65,
      "scope": "Classify, summarize and route tickets; approved acceptance checked against an audited holdout set.",
      "exclusions": "Refund approvals, payment changes, regulated decisions and advanced escalation are out of scope."
    },
    {
      "id": "documents",
      "name": "Invoice and document processing",
      "sector": "Finance operations",
      "unit": "accepted document",
      "model_id": "claude-sonnet-5",
      "monthly_tasks": 2400,
      "calls_per_task": 4,
      "input_tokens_per_call": 6000,
      "output_tokens_per_call": 1200,
      "retry_overhead": 0.18,
      "tool_cost_per_call_usd": 0.014,
      "human_review_fraction": 0.38,
      "review_minutes": 6,
      "review_loaded_hourly_usd": 58,
      "monthly_infrastructure_usd": 580,
      "monthly_operations_usd": 1800,
      "monthly_maintenance_usd": 1200,
      "monthly_security_usd": 650,
      "monthly_platform_usd": 240,
      "implementation_one_time_usd": 42000,
      "accepted_success_rate": 0.9,
      "manual_baseline_minutes_per_task": 14,
      "manual_baseline_loaded_hourly_usd": 48,
      "value_realization_fraction": 0.55,
      "scope": "Extract and validate invoice fields, flag mismatch and send for approval; success requires accepted field-level accuracy.",
      "exclusions": "Financial posting and payments remain separately approved and governed."
    },
    {
      "id": "research",
      "name": "Research and evidence synthesis",
      "sector": "Strategy and analysis",
      "unit": "accepted research brief",
      "model_id": "gpt-6-sol",
      "monthly_tasks": 800,
      "calls_per_task": 7,
      "input_tokens_per_call": 9000,
      "output_tokens_per_call": 2200,
      "retry_overhead": 0.25,
      "tool_cost_per_call_usd": 0.04,
      "human_review_fraction": 0.7,
      "review_minutes": 14,
      "review_loaded_hourly_usd": 65,
      "monthly_infrastructure_usd": 600,
      "monthly_operations_usd": 2400,
      "monthly_maintenance_usd": 1500,
      "monthly_security_usd": 1100,
      "monthly_platform_usd": 400,
      "implementation_one_time_usd": 60000,
      "accepted_success_rate": 0.72,
      "manual_baseline_minutes_per_task": 40,
      "manual_baseline_loaded_hourly_usd": 65,
      "value_realization_fraction": 0.5,
      "scope": "Generate evidence-linked analyst briefs; acceptance requires source traceability, factual checks and reviewer sign-off.",
      "exclusions": "Consequential client advice and factual claims without independently verified citations are excluded."
    }
  ]
}