How We Help
Real problems,
real solutions
See how organizations across manufacturing, banking, healthcare, retail, and logistics transform data challenges into competitive advantages. Real businesses, real results, real growth.
Your best engineers are fighting fires. They should be preventing them.
60% Reactive Maintenance
Every unplanned stoppage costs £10k–£50k/hr in lost production.
OEM-Locked Tools
Siemens, GE, ABB tools see one machine — your multi-vendor plant has no unified layer.
Siloed Data
Quality and uptime data don't connect. Root causes stay invisible.
30-50%
Downtime Reduction
McKinsey
20-40%
Extended Machine Life
McKinsey
6-12 mo
Payback Period
Industry avg
"Digitized maintenance drove an average 20% reduction in downtime — starting with existing machine and historian data."
— McKinsey Operations Practice
The Problem
Manufacturing plants operate with 60% reactive maintenance, where OEM-locked tools can't see cross-vendor equipment and siloed quality data hides root causes. Every unplanned stoppage costs £10k–£50k/hr in lost production.
The Solution
Unified predictive maintenance layer that ingests PLC/SCADA, historian, and MES data from all vendors, detects anomalies before failures, and estimates remaining useful life with 95% accuracy.
Key Benefits
- Reduce downtime by 30–50% through early detection
- Extend machine life by 20–40%
- ROI in 6–12 months
- Enable shift handovers based on predicted failures
Technical Architecture
Your Data
Intelligence
Action
Your analysts are drowning in alerts that aren't real fraud.
95% False Positives
Real fraud slips through while the team chases shadows.
2026 APP Scam Liability
Real-time decisioning is now regulatory requirement — batch monitoring won't pass scrutiny.
Explainability Gaps
Black-box models don't pass SR 11-7 model-risk review.
$4.4T
Illicit Activity 2025
Nasdaq
31%
False-Positive Reduction
NICE Actimize
$30M
3-Year Savings
Feedzai
"Analytical and agentic AI are especially relevant for false-positive reduction, transaction monitoring, and fraud prevention."
— McKinsey FS Practice
The Problem
95% of fraud alerts are false positives, real fraud slips through, and black-box models can't pass SR 11-7 regulatory review. Each analyst spends thousands of hours chasing shadows instead of catching real crimes.
The Solution
Explainable AI that combines ML fraud scoring with graph-based entity risk and AML typologies to reduce false positives while maintaining 100% recall and meeting regulatory requirements.
Key Benefits
- Reduce false-positive rate by 31%
- Save 1,800+ investigation hours per quarter
- Maintain 100% fraud recall
- Pass SR 11-7 model risk reviews
Technical Architecture
Your Data
Intelligence
Action
Hospitals are spending $43 billion collecting money they already earned.
15% Claims Denied
For a $1B system, that's $150M delayed — 60% preventable with better data.
Prior Auth Denials +56%
Each manual appeal takes 45+ minutes — payers rely on giving up.
2026 CMS FHIR Mandate
API-based prior auth required. Most RCM teams unprepared technically.
$43B
Chasing Owed Payments
AHA 2025
46%
Auth Denial Reduction
Waystar
30-60%
Cost-to-Collect Reduction
McKinsey 2025
"AI-enabled provider revenue-cycle operations could reduce cost-to-collect by 30 to 60 percent."
— McKinsey 2025 US Care Delivery Survey
The Problem
Hospitals are chasing $43 billion in owed payments. 15% of claims denied, prior auth denials up 56%, and the 2026 CMS FHIR mandate requires API-based automation—most RCM teams unprepared.
The Solution
AI-powered revenue cycle platform that detects denial propensity before submission, automates prior auth through payer APIs, detects underpayments, and queues high-impact appeals first.
Key Benefits
- Reduce denial rate by 46%
- Cut cost-to-collect by 30–60%
- Meet 2026 FHIR API mandate
- Recover $150M+ for a $1B health system
Technical Architecture
Your Data
Intelligence
Action
Your inventory is either too much or too little — never just right.
Excess & Stockout
Markdown pressure on overstock, stockout penalties on understock—both kill margin.
Promo ROI Blind
You run promotions, but don't know which ones drive profit vs. just theft of future sales.
Vendor Lock-in
Legacy category management tools can't ingest external data or run real-time scenarios.
5-15%
Inventory Cost Reduction
Gartner
20-30%
Forecast Accuracy Improvement
McKinsey Retail
2-3x
Faster Scenario Planning
Industry avg
"AI-enabled demand planning can reduce forecast errors by 20–30% while cutting markdown exposure by 2–4 points of COGS."
— McKinsey Consumer Excellence Practice
The Problem
Inventory is either too much (markdown pressure) or too little (stockout penalties)—both kill margin. Promo ROI is blind, legacy tools can't ingest external data or run real-time scenarios.
The Solution
AI demand forecasting that reduces forecast errors by 20–30%, optimizes markdowns, measures promo effectiveness, and runs real-time scenario planning across all channels.
Key Benefits
- Reduce inventory costs by 5–15%
- Improve forecast accuracy by 20–30%
- Cut markdown exposure by 2–4 COGS points
- Increase inventory turns by 12–18%
Technical Architecture
Your Data
Intelligence
Action
Every delivery is a black box. You can't see efficiency or sustainability.
Visibility Blind Spots
Third-party logistics hide operational detail. You have no visibility to act on inefficiency.
Carbon Liability
ESG reporting is manual. Scope 3 emissions tracking is incomplete or wrong.
Legacy TMS Limits
Your system can't route on carbon, can't handle multi-modal, can't learn from data.
10-20%
Cost Reduction
Gartner
30%
Carbon Reduction
McKinsey Logistics
48hr
Visibility Lag (avg)
Industry
"Real-time supply chain analytics can reduce logistics costs by 10–20% and cut carbon by 30% through better route and mode optimization."
— McKinsey Supply Chain Practice
The Problem
Third-party logistics hide operational detail. ESG reporting is manual. Legacy TMS can't route on carbon, can't handle multi-modal, can't learn from data. Average 48-hour visibility lag.
The Solution
Real-time supply chain analytics that optimizes routes for cost AND carbon, tracks Scope 3 emissions automatically, and provides visibility-to-action across all modes.
Key Benefits
- Reduce logistics costs by 10–20%
- Cut carbon emissions by 30%
- Close visibility lag from 48hr to real-time
- Meet ESG reporting requirements automatically
Technical Architecture
Your Data
Intelligence
Action
The Next Step
Your KPI baseline.
Two weeks. Fixed fee.
No commitment.
We quantify your opportunity before you commit to a program. Most clients see the case for a full proof within the first baseline audit.