Decision engines that close the execution gap

Fable builds and runs production decision engines inside live workflows so thresholds, approvals, and allocations show up in governed margin, cash conversion, and operating performance.

Deployment modelEmbedded inside live workflows
Starting pointPrivate demo, then QOA
Operating cadenceOne owner, one metric, one cadence

Indicative impact ranges for live workflows

Working capital release10 to 22 percent

Inventory policy and service level optimization.

Margin lift4 to 8 points

Price, mix, and discount governance.

EBITDA improvement6 to 12 percent

Governed decisions embedded in live workflows.

How commercial signals turn into governed action

Inputs, thresholds, approvals, and outputs are embedded in operating cadence so value moves through execution instead of sitting in spreadsheets, inboxes, and review meetings.

Signal inputs Operational, commercial, and financial sources
Decision rules Thresholds, approvals, and governed action paths
Measured output Margin, cash, service, and execution impact
Decision engine map

Four engine families built for distinct operating pressure

Revenue, efficiency, strategic, and reliability engines each map to a specific owner, decision rhythm, and measurable operating outcome.

Revenue Engine

Pricing, discount, and renewal guardrails that protect margin without stalling commercial flow.

Set price corridors, exception routes, and segment actions using demand, cost, and capacity signals.

Margin lift range 2 to 6 points
Efficiency Engine

Inventory, service, and capacity decisions that release cash without damaging delivery performance.

Set reorder points, buffers, and routing priorities under demand volatility and supply constraints.

Working capital release range 8 to 20 percent
Strategic Engine

Capital allocation and sequencing decisions with downside protection and hurdle-rate discipline.

Compare scenarios, sequencing options, and resource commitments under capital constraints.

Downside risk reduction 15 to 35 percent
Reliability Engine

Monitoring, drift control, and release discipline that protect decision quality in production.

Detect drift, restore performance, and protect value before degradation reaches operators or finance.

Decision error reduction 15 to 35 percent

Credibility comes from controls, baselines, and disciplined rollout

01

Baselines reconciled to finance and workflow truth

Metric definitions, operating baselines, and source boundaries are documented before build.

02

Opportunity ledger with explicit inclusions and exclusions

Assumptions, haircuts, and controllable levers are transparent enough for finance review.

03

Named owner, deployment gates, and monitored operation

The workflow owner, rollout gates, and control cadence are clear before scale begins.

SecurityClient-controlled environments
GovernanceAudit trails and exception handling
RolloutRead-only validation before write-back

Start with one workflow, one owner, and one decision worth making

Start with one workflow, one accountable owner, and one pressure point. The QOA exists to confirm whether the opportunity is real, measurable, and worth deployment.

If the QOA cannot quantify measurable upside, you do not pay for the QOA.

Book a private demo to narrow one workflow, align the owner, and decide whether a QOA is warranted.

Start with a private briefing View approach