Decision intelligence for complex operators

Predictive decision engines for the moments that move enterprise value.

Fable turns fragmented operating evidence into probabilistic forecasts, feasible interventions and accountable action—across margin, cash, capacity and growth.

Built for consequential, recurring decisions across UK and US enterprises.

Cross-system evidenceOne governed operating pictureForecast under uncertaintyDecision-relevant probability and timingAccountable interventionFeasible action with measurable consequence

The decision mechanism

From operational evidence to the next best action.

Each engine is built around one recurring decision. It combines learned forecasts, deterministic guardrails and constrained optimisation, then follows the selected action through execution and outcome.

  1. 01
    Evidence

    Reconcile identity, authority, timing and value across the systems that hold the operating truth.

  2. 02
    Prediction

    Estimate the outcomes, timing and uncertainty that materially alter the decision.

  3. 03
    Feasible intervention

    Apply permissions, constraints and policy to the actions the operator can actually take.

  4. 04
    Financial priority

    Direct scarce attention towards the intervention with the strongest defensible consequence.

  5. 05
    Measured outcome

    Trace execution and realised performance back to the original decision.

Project Margin RescueReference mechanism
Evidence spineStatusCutoff
ERP · project accountingAuthoritative08:42
PSA · time and deliveryReconciled08:38
Billing · WIP and ARCurrent08:40
Predicted outcomeMargin-at-completion distribution
Protected floor
DownsideForecast rangeUpside
01
Feasible interventionSubmit bounded EAC revision

Northbank Programme · owner PMO South · due 14:00

Expected effectProtect marginuncertainty shown in workbench

One operating decision, built end to end

Prediction becomes valuable when it changes the work.

Fable joins three disciplines into a single operating mechanism: decision intelligence, operational mapping and accountable value attribution.

01

Predictive decision intelligence

Estimate the outcomes, timing and uncertainty the operator must act on.

02

Cross-system operational mapping

Reconcile identity, time, authority and evidence across the systems where truth lives.

03

Action impact and attribution

Separate forecast risk from intervention effect, then measure what actually changed.

Flagship Decision Engines

Built for decisions with material financial consequence.

FE-COM-01

Project Margin Rescue Engine

Determine which active project requires intervention now to protect margin, cash timing or delivery economics.

Primary operator
Finance, PMO and delivery leadership
Cadence
Weekly, with month-end escalation
Explore Project Margin Rescue
Project intervention portfolioWeekly decision cut
Evidence5 systemsDecision grainProject × cutoffBoundaryApproval required
Harbour EastEAC driftSubmit forecast revisionDecision now
Lumen DeliveryBilling lagIssue eligible invoiceApproval
Alder ControlsCost exposureCorrect supplier itemMonitor
FE-COM-05

Range-to-Cash Trading Yield Engine

Choose the product, customer and branch actions that improve cash, contribution and service together.

Primary operator
Trading, category, finance and supply
Cadence
Weekly and event-driven
Explore Range-to-Cash
Range action portfolioWeekly decision cut
Evidence6 systemsDecision grainSKU × branchBoundaryApproval required
Alder Chilled · CentralExcess coverSuspend replenishmentDecision now
Juniper Pantry · NorthService exposureTransfer 48 unitsApproval
Elm Bakery · SouthWeak yieldHold through reviewMonitor

Engineered proof

Evidence is built into the product.

Every recommendation can be traced through the production decision path—from source evidence and model output to constraints, selected action and measured outcome.

Examine the proof system
01Executable production decision path
02Locked model evaluation and safe fallback
03Atomic actions with accountable owners
04Outcome and value attribution

From opportunity to operating system

A controlled route to production value.

The QOA identifies the highest-value recurring decision, validates the evidence and action surface, and establishes the deployment and measurement design for a focused pilot.

01

Paid QOA

Prove the decision, evidence and controllable value pool.

02

Pilot

Validate the mechanism against a locked baseline.

03

Production

Deploy the approved tenant-calibrated decision path.

04

Stewardship

Monitor models, evidence, policy and realised outcomes.

Fable Systems Library

Operating systems that make management repeatable.

Proven finance, growth and delivery systems for organisations strengthening the management infrastructure around consequential decisions.

  • Structured operating cadences and controls
  • Reusable finance, growth and delivery systems
  • Configured around the client’s operating model
Explore the Systems Library
Fable Systems LibraryReusable operating systems
01Finance & cash
02Growth systems
03Operations
04Risk & governance
Governed by designHuman authority, provenance and audit remain explicit.
Tenant isolatedClient evidence stays inside the approved deployment boundary.
Deployment flexibleArchitecture adapts to enterprise security and topology requirements.

Start with the decision

Which recurring decision should be working harder for your business?

Bring us its owner, cadence, systems and financial consequence. We will shape the decision assessment around the operating reality.

Discuss a decision