Catalyst-Q

ROI Proof Method

A repeatable path for turning Catalyst-Q vertical agents into finance-grade savings: replay the baseline, run in shadow mode, roll out under control, then renew on verified outcomes.

Open workbenchProof labPricing

Calculator.

Use the buyer's addressable annual cost exposure and only count savings after adoption and confidence discounts.

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Proof stages.

This is the tried operating method: no expansion without replayable evidence and a human-approved control gate.

baseline_replay

Baseline replay

3-10 business days - Replay recent operational data through Catalyst-Q without changing production decisions.

  • Historical workload, cost, constraint, and service-level baseline
  • Catalyst-Q candidate plan with deterministic .rain replay id
  • Delta report for cost, lateness, emissions, congestion, or curtailment

Gate: Advance only if hard constraints match or beat baseline and projected value clears the buyer's pilot threshold.

shadow_mode

Shadow mode

2-4 weeks - Run beside dispatchers, planners, operators, or analysts while humans keep full control.

  • Side-by-side recommendation log
  • Accepted, rejected, and stale-data decisions
  • Browser Run screenshots for workflow proof and human handoff moments

Gate: Advance only if operators accept the workflow and shadow deltas remain stable across normal disruptions.

controlled_rollout

Controlled rollout

30-90 days - Deploy on a bounded lane, region, feeder, fleet segment, or simulator cohort with rollback.

  • Holdout or pre/post control group
  • Pipelines and Analytics Engine event stream for every recommendation
  • Finance-approved attribution for avoided cost, recovered capacity, or service improvement

Gate: Convert only the savings finance can attribute after discounting for adoption, noise, and operating cost.

verified_contract

Verified contract

Quarterly - Turn measured outcomes into renewal, expansion, and optional outcome-share pricing.

  • Quarterly ROI packet with baseline, accepted recommendations, and audited savings math
  • Prompt/model/solver version lineage
  • Customer approval history and exception register

Gate: Expand only when verified savings support the next scope and risk controls are current.

Million-dollar cases.

These scenarios show the scale where the method can justify million-dollar annual savings after conservative discounts.

exact-chemistry-verification

Exact chemistry verification

$1.1Mconservative annual net

Clears a million-dollar annual net-savings case after adoption and confidence discounts.

  • Exposure: $95,000,000
  • Payback: 3.3 months
  • Proof metric: verification packets, avoided synthesis cycles, resolved DFT disagreements, active-space consistency checks
Finance packet
freight-field-routing

Freight & field routing

$1.4Mconservative annual net

Clears a million-dollar annual net-savings case after adoption and confidence discounts.

  • Exposure: $42,000,000
  • Payback: 0.9 months
  • Proof metric: cost per route, late stops, miles, fuel, driver hours
Finance packet
flight-ops-routing

Airline flight ops routing

$708,768conservative annual net

Needs larger scope, stronger adoption, or higher verified improvement before it should be sold as a million-dollar case.

  • Exposure: $140,000,000
  • Payback: 6.7 months
  • Proof metric: fuel burn, minutes saved, delay propagation, alternate risk
Finance packet
grid-optimization

Grid optimization

$1.2Mconservative annual net

Clears a million-dollar annual net-savings case after adoption and confidence discounts.

  • Exposure: $165,000,000
  • Payback: 5.6 months
  • Proof metric: congestion cost, renewable curtailment, losses, overload hours
Finance packet
atc-decision-support

ATC simulator decision support

$7,350conservative annual net

Needs larger scope, stronger adoption, or higher verified improvement before it should be sold as a million-dollar case.

  • Exposure: $55,000,000
  • Payback: 11.9 months
  • Proof metric: simulator throughput, conflict-resolution quality, workload score
Finance packet

Telemetry contract

  • Every recommendation gets a .rain replay id
  • Browser Run captures rendered workflow evidence when a human handoff matters
  • Pipelines separate operational events, eval deltas, cost meters, and ROI proof
  • Quarterly packets reconcile accepted actions against baseline and holdout groups

API surface

GET https://catalyst-q.strategic-innovations.ai/v1/roi
POST https://catalyst-q.strategic-innovations.ai/v1/roi/calculate

Use the page for buyers and the JSON routes for dashboards, finance packets, and MCP tool output.