Discovery Agent
Scope the Pilot Before You Sign the Programme.
The Discovery Agent is the pre-sales workflow for mapping source systems, metadata, and business signals into an evidence-led pilot plan. No raw operational data has to leave your environment.
Five Steps. A Clear Pilot Map.
Connect
2 minutesPoint the Discovery Agent at your existing database or CRM. Read-only access. Nothing is copied or moved.
Scan
3 minutesThe agent scans metadata — table schemas, field distributions, relationship graphs. It never reads raw record values.
Map
2 minutesSemantic attributes are automatically suggested: churnRisk, conversionProbability, engagementLevel, and more.
Score
2 minutesContext facts are generated with confidence scores and provenance chains. You see exactly which source fields drive each insight.
Report
1 minuteA full ROI report shows projected lift: conversion improvement, churn reduction, and revenue impact over 90 days.
Synthetic Industry Time Machine
Synthetic agents help frame what a pilot should test across six industries. They are planning aids, not customer performance claims.
Car Dealer
Predict which leads will convert, which stock will sell, and which customers will return for servicing.
Manufacturer
Forecast demand, optimise supply chain context, and identify quality risk patterns before they become recalls.
E-commerce
Personalise product recommendations, predict cart abandonment, and attribute conversions to specific context signals.
Professional Services
Score proposal win probability, identify cross-sell opportunities, and predict project overruns.
Retail
Optimise store layouts, predict footfall, and personalise loyalty programmes with real purchase context.
Healthcare Logistics
Predict supply shortages, optimise delivery routes, and ensure compliance with NHS and regulatory requirements.
Live Intelligence
What the Discovery Agent Finds
Illustrative signals the discovery workflow can look for once access, consent, and source-system scope are agreed.
Parts Manufacturer — 12 plants, SAP + IoT
£180k downtime avoided
“Pump 47-B in Stuttgart shows rising inlet pressure variance for 5 consecutive days — exact signature seen before Pump 32-A failed. Last bearing replacement was 11 months ago. Recommended: schedule maintenance within 14 days. Projected saving: £180k in avoided downtime.”
Management Consultancy — 120 consultants, Dynamics 365
£1.2M untapped pipeline
“Practice area ‘Supply Chain Transformation’ has a 62% proposal win rate versus 28% firm average — but only 4 of 120 consultants are tagged with this capability, at 94% utilisation. Recommended: upskill 6 from ‘Operations’ practice. Projected revenue: £1.2M in addressable pipeline currently being declined.”
Grocery Chain — 48 stores, weather + loyalty integration
£28k revenue captured
“Rain forecast for Saturday across the Liverpool City Region. Historical pattern: rainy Saturdays increase online delivery orders by 38% but reduce in-store footfall by 22%. Recommended: pre-staff 4 additional delivery drivers and reduce bakery production by 15%. Projected impact: capture £28k in delivery revenue.”
Private Hospital Group — 4 hospitals, 22 theatres
£1.8M revenue opportunity
“Theatre utilisation across the group is 71% — target is 85%. Three root causes: 14% of slots blocked by late consultant cancellations, pre-auth delays averaging 4.2 days from insurer Vitality, and MRI scanner downtime in Hospital 2. Projected impact: increase utilisation to 82%, generating £1.8M additional revenue/year.”
FMCG Manufacturer — 6 production lines, Dynamics 365
£400k recall prevented
“Customer complaint rate for SKU ‘Premium Lasagne 400g’ rose 340% in 14 days. All complaints trace to batches produced on Line 4 between May 3-7. Line 4 oven zone 3 temperature was 8°C below setpoint — heating element degrading. Recommended: immediate quality hold on remaining 4,200 units. Prevent £400k+ recall.”
Research University — 28,000 students, on-prem metadata only
18% attrition reduction
“International student cohort from Region Y shows 41% higher dropout risk if they don’t engage with the careers service in first 8 weeks. Cross-referenced with attendance and library usage data. Recommended: trigger proactive outreach in Week 6. Projected impact: 18% reduction in international attrition.”
Pruning Accuracy
The Discovery Agent is designed to separate durable context signals from noise, then mark what must be validated during the pilot.
Ten Minutes to Clarity
No raw data movement. A scoped pilot plan. Evidence before expansion.