Decision engines in production
Decision engines that lift the bottom line
For private equity operators and mid market enterprises that demand measurable EBITDA, margin, and cash outcomes within weeks.
Outcome bands
Outcome ranges tied to deployed decisions
Ranges reflect current delivery experience and internal benchmarks.
Inventory policy and service level optimization.
Price, mix, and discount governance.
Decision engines embedded in execution workflows.
Decision engine map
Signals become decisions and outcomes
Fable integrates signals, constraints, and targets into production decision flow with monitoring.
Market gap
Analysis is not deployment
We close the gap between analytic insight and executed decisions inside workflows.
Models without decision flow
Insight exists, but decisions are not governed or deployed at scale.
Decisions inside workflow
Policy is executed with monitoring and measured outcomes.
Engagement path
Briefing then QOA
After a private briefing, the QOA confirms value, data feasibility, and delivery gates across three weeks.
Delivery gates can be reached in as little as eight to fourteen weeks for focused scopes, with longer implementations running six months or more.
Value hypothesis
Decision owner alignment with an economic model tied to EBITDA and cash.
Data feasibility
Source mapping, access plan, and constraint review with governance.
Delivery gate
Architecture, security posture, and deployment plan with clear milestones.
Value hypothesis, data feasibility, and delivery plan.
Prototype tied to a decision owner and real data.
Integration, governance, and deployment.
Engine atlas
Engines mapped to EBITDA levers
Each engine aligns to a decision owner, levers, and measurable outcomes.
Revenue Engine
Pricing and commercial decisions that protect margin and win rate.
Set price corridors with demand and capacity signals.
Efficiency Engine
Operational decisions that release working capital and stabilize service.
Balance inventory policy and service targets under volatility.
Strategic Engine
Capital allocation decisions with downside protection and hurdle rate confidence.
Compare portfolio scenarios under volatility and capital constraints.
Capability Engine
Model reliability and governance that protect value in production.
Reduce drift exposure and restore accuracy with automation.
Proof signals
Evidence through value gates
Validation is structured before any pilot and confirmed in production.
Value hypothesis signed by decision owner
Outcome metrics, constraints, and data boundaries documented.
ROI model with sensitivity bands
Assumptions transparent and reviewed with finance leadership.
Deployment gates and monitoring
QOA, pilot, and implementation with explicit value gates.
Private briefings
Private briefings by pillar
Briefings map inputs to EBITDA impact before a QOA and are shared on request.
Procurement readiness
Security and governance by default
Dedicated environments, audit trails, and documented controls are standard.
Start with a private briefing
Briefings align decision owners, value hypotheses, and data access. The QOA follows for quantified feasibility and delivery gates. QOA guarantee: at least 10x annualized EBITDA, margin, or working capital impact.