Flight Ops Route Optimization Agent ROI Packet

{"ok":true,"packet":{"finance_packet":"flight-ops-routing-roi-proof-packet","vertical":{"id":"flight-ops-routing","name":"Flight Ops Route Optimization Agent","market":"Airline operations, dispatch planning, fuel planning, and disruption recovery","buyer_promise":"Ranks flight route, altitude, and disruption-response options across fuel burn, winds, fees, schedule knock-on effects, and operational risk."},"proof":{"vertical_id":"flight-ops-routing","label":"Airline flight ops routing","cost_exposure_label":"Annual fuel, delay, disruption, and overflight exposure","annual_cost_exposure_usd":140000000,"verified_improvement_pct":2.8,"capture_rate_pct":54,"confidence_discount_pct":76,"annual_platform_cost_usd":720000,"pilot_cost_usd":180000,"total_first_year_cost_usd":900000,"conservative_annual_gross_savings_usd":1608768,"conservative_annual_net_savings_usd":708768,"payback_months":6.7,"first_year_roi_multiple":0.79,"measurement_window_days":90,"proof_metric":"fuel burn, minutes saved, delay propagation, alternate risk","proof_confidence":"controlled","recommendation":"Positive ROI case: continue shadow mode and tighten attribution before expanding scope."},"evidence_register":["Annual fuel, delay, disruption, and overflight exposure: $140,000,000","Primary proof metric: fuel burn, minutes saved, delay propagation, alternate risk","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.","Decision support only","Never replace certified dispatch or ATC clearance","Require data freshness and NOTAM/weather provenance","No safety-critical autonomous actions"],"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/flight-ops-routing","api":"https://catalyst-q.strategic-innovations.ai/v1/roi/flight-ops-routing/packet"}}