Grid Optimization Agent ROI Packet

{"ok":true,"packet":{"finance_packet":"grid-optimization-roi-proof-packet","vertical":{"id":"grid-optimization","name":"Grid Optimization Agent","market":"Utility dispatch, VPP orchestration, DER scheduling, grid reliability, and congestion management","buyer_promise":"Explores dispatch, load-shift, storage, and contingency scenarios with operator-reviewed recommendations and regulator-friendly replay."},"proof":{"vertical_id":"grid-optimization","label":"Grid optimization","cost_exposure_label":"Annual congestion, curtailment, outage, and dispatch exposure","annual_cost_exposure_usd":165000000,"verified_improvement_pct":3.2,"capture_rate_pct":58,"confidence_discount_pct":74,"annual_platform_cost_usd":840000,"pilot_cost_usd":220000,"total_first_year_cost_usd":1060000,"conservative_annual_gross_savings_usd":2266176,"conservative_annual_net_savings_usd":1206176,"payback_months":5.6,"first_year_roi_multiple":1.14,"measurement_window_days":90,"proof_metric":"congestion cost, renewable curtailment, losses, overload hours","proof_confidence":"controlled","recommendation":"Million-dollar ROI case: package a controlled rollout around congestion cost, renewable curtailment, losses, overload hours and finance-approved attribution."},"evidence_register":["Annual congestion, curtailment, outage, and dispatch exposure: $165,000,000","Primary proof metric: congestion cost, renewable curtailment, losses, overload hours","Benchmark surface: run /evals before changing prompts, models, or Catalyst-Q scoring.",".rain replay: every accepted plan recommendation must carry a replay id and model/solver lineage.","Browser Run: capture screenshots for approval workflows, portal evidence, and human handoff moments.","Realtime datasets: stream optimization events through cloudflare-pipelines for finance-grade attribution."],"telemetry_contract":["event_type=roi_recommendation for every candidate recommendation","event_type=roi_acceptance for every human-approved action","event_type=roi_outcome for realized cost, service, safety, or reliability results","event_type=roi_exception for stale data, guardrail blocks, and rejected recommendations","Join keys: tenant, agent_id, workflow, rain_event_id, baseline_id, rollout_cohort, model_route, solver_version"],"acceptance_gates":["Baseline replay: Advance only if hard constraints match or beat baseline and projected value clears the buyer's pilot threshold.","Shadow mode: Advance only if operators accept the workflow and shadow deltas remain stable across normal disruptions.","Controlled rollout: Convert only the savings finance can attribute after discounting for adoption, noise, and operating cost.","Verified contract: Expand only when verified savings support the next scope and risk controls are current."],"rollout_motion":["Start with historical baseline replay and a signed baseline-cost definition.","Run shadow mode until the operator experience and deltas survive normal disruptions.","Move one bounded cohort into controlled rollout with holdout or pre/post attribution.","Renew or expand only on verified net savings after platform, pilot, and adoption discounts."],"operator_controls":["Human approval remains required for production-impacting actions.","Runs beside SCADA/EMS as decision support","Operator approval before control actions","Expose forecast uncertainty and asset constraints","No physical quantum-speedup claims"],"pricing_motion":["Free proof should show one constrained scenario, not unlimited optimization.","Paid pilot should include baseline replay, shadow mode, and the first finance packet.","Production should use hybrid pricing: base platform fee, usage meters, and optional verified outcome upside."]},"links":{"page":"https://catalyst-q.strategic-innovations.ai/roi/grid-optimization","api":"https://catalyst-q.strategic-innovations.ai/v1/roi/grid-optimization/packet"}}