Engines for the decisions that matter

Fable connects the systems of record you already run to forecast what happens next, compare the permitted actions and recommend what to do now.

Across revenue, cash, supply, workforce, operations and risk, for UK and US upper-mid-market and enterprise operators.

EvidenceERP, CRM, billing, vendor-management, workforce and operating records joined at the cutoffForecastOutcome, timing and uncertainty estimated before actionDecisionNamed action tied to authority, constraints and expected effect
01

Connects the systems of record already running the operation.

02

Forecasts outcomes across revenue, cash, supply, workforce and risk.

03

Recommends the next permitted action with evidence and value attached.

Turn the operating record into the next decision.

Fable turns disconnected systems of record into a clear cross-system decision about what is likely to happen, which actions are available and what each action is expected to change.

01

Join the operating record

ERP, CRM, billing, vendor-management, workforce, supply-chain and asset systems each see a fragment. Fable reconciles the records that matter at the point a decision is made.

Evidence focusIdentity, timing, freshness, authority and conflicts stay visible across systems.
02

Forecast the outcome

Estimate what happens if a quote, hire, route, roster, purchase, investment or risk action is taken or delayed.

Evidence focusProduction models built around the actual decision, its cadence and the value at stake.
03

Recommend the next action

Fable narrows the feasible choices and gives the accountable operator a named action, expected effect and reason to act.

Evidence focusRecommendations are bounded by policy, capacity, permissions and commercial reality.

A forecast must change the decision.

Fable combines live evidence, production ML, constraint logic and financial attribution so operators can see the consequence of each available action before committing resources.

  1. 01
    Reconstruct the position

    Join the records that describe the same project, product, customer or obligation at the decision cutoff.

  2. 02
    Forecast the outcome

    Estimate what is likely to happen, when it may happen and how uncertain the forecast is.

  3. 03
    Compare available actions

    Remove options that breach authority, policy, capacity or operating constraints.

  4. 04
    Choose the work

    Rank the remaining actions by their expected operational and financial effect.

  5. 05
    Measure the result

    Record what was approved, completed and achieved, then feed the outcome back into the engine.

Cross-system decision workbenchReference run
Evidence spineStatusCutoff
ERP · financial positionAuthoritative08:42
CRM · customers & pipelineReconciled08:38
Operations · capacity & workCurrent08:40
Predicted outcomeOutcome distribution
Decision threshold
DownsideForecast rangeUpside
01
Feasible interventionPrioritise constrained work

North region · owner operations control · due 14:00

Expected effectImprove service and valueuncertainty shown in workbench

Every recommendation has a reason.

Evidence, forecast, constraints and action stay together on the decision record.

Inspect the proof
01Evidence

The source records and cutoff behind the choice.

02Forecast

The range, timing and uncertainty of what may happen.

03Constraints

The authority, policy and capacity that shape what is feasible.

04Action

The owner, deadline and expected effect of the selected move.

How it works.

Start with the records already running the operation. Fable makes the decision path visible, measurable and usable inside the existing workflow.

01

Map the decision

We identify the recurring choice, accountable operator, constraints and value at stake.

02

Join the systems of record

Fable connects the ERP, CRM, billing, workforce, supply, asset and operational records that inform the choice.

03

Work the recommendation

Your team receives a named action with evidence, uncertainty and expected effect inside the existing workflow.

Decision Engines for material operating choices.

Explore detailed examples from a wider library covering commercial economics, revenue, cash, supply, workforce, operations, procurement, capital and risk.

Library coverage

Commercial economics & pricing

Revenue growth & retention

Billing, cash & revenue cycle

Supply chain & inventory

Workforce, capacity & fulfilment

Operations & asset reliability

Procurement & cost-to-serve

Capital & strategic allocation

Risk, fraud & loss control

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

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
Explore Decision Engines

Questions worth answering before a pilot.

Enterprise decision software has to work with the systems, controls and commercial model already in place.

We already have ERP, CRM, BI and specialist systems.

Keep the systems that run the business. Fable works across their records, adds forecast and constraint logic, and makes the next decision explicit without creating another passive reporting layer.

Custom software deployments take months and disrupt operations.

Integrating enterprise data takes effort. Our team requires focused access to your technical records. Initial setup demands internal engineering time. We run a scoped pilot first to prove financial uplift before full deployment.

We cannot expose operational data without strict legal review.

Data privacy is critical. Enterprise security reviews take time. Compliance sign-offs usually add two to three weeks to our onboarding timeline. We support standard enterprise data protection protocols.

Your software uses a value-share commercial model.

Our model includes an implementation fee plus an annual licence tied to performance. Fable collects roughly 30% of the calculated financial uplift in year one. That share drops to 10-20% in following years. If your operational spend is small, this pricing model will not make financial sense.

Legacy Business Intelligence vs Fable Decision Engines

Reporting remains useful. Fable adds the forecast, constraint logic and action recommendation required to change the next decision.

Legacy BI & DashboardsFable Decision Engines
Shows historical operational dataForecasts future financial outcomes
Requires manual spreadsheet analysisRecommends specific operational actions
Leaves the next action to manual interpretationRanks feasible actions across cross-system records
Static charts and passive metricsMachine learning models tied to financial and operational attribution

Operational software built around the business.

The Fable Systems Library provides annual software for CRM, scheduling, finance, accounting, quoting, billing, workflow, portals and integration. It can provide the workflow and evidence base that a Decision Engine needs.

  • Production software with defined users, records and controls
  • Built around the client's data model, workflow and commercial edge
  • Suitable as the workflow and evidence base for future Decision Engines
Explore the Systems Library
Fable Systems LibraryReusable product foundations
01CRM & portals
02Finance & billing
03Scheduling & workflow
04Integration platforms

Frequently asked questions.

Fable works alongside your existing software and supports standard enterprise data protection protocols.

What size organisation is Fable built for?

Fable is designed for upper-mid-market and enterprise organisations operating across commercial, financial, supply, workforce, operational, capital and risk decisions.

What is a Decision Engine?

It is operational software that combines machine learning, cross-system evidence, fixed constraints and financial or operational attribution to recommend a specific action.

How long does implementation take?

Initial opportunity assessments and pilots take a few weeks. Full software deployment timelines depend on the complexity of your enterprise data stack.

How is Fable priced?

We charge an initial implementation fee plus an annual software subscription. The fee structure scales based on the financial uplift created by the engine.

Do we need to replace our systems of record?

No. Fable works across your existing software infrastructure and pulls together the records already used to make the decision.

Human approvalAuthority and permitted actions are explicit.
Tenant isolationClient records stay inside the approved boundary.
Deployment choiceCloud, private cloud or client-controlled infrastructure.

Move the Decision That Matters Most

Book a live walkthrough with a Fable representative using the software and decision path that fit your operation.