Success Stories

Real results. Real data. Real ROI.

We don't publish theoretical benchmarks. These are real outcomes from real client engagements — with measurable cost savings, time reductions, and audit-ready intelligence.

Big 4 Consulting · ESG Compliance

CSRD AI Copilot — from 8 weeks to 2 days

A Big 4 consulting firm needed to deliver CSRD gap analysis for clients across Europe. With 2,500+ ESRS disclosures to map, each engagement was consuming 6–8 weeks of senior consultant time at $64,000 per report. They needed to scale without linear headcount growth.

0%
Cost Reduction
$64,000 → $8,400 per report
0%
Time Saved
8 weeks → 10 days

⚡ The Challenge

  • ESRS has 2,500+ disclosure requirements — manual mapping takes 6–8 weeks
  • High error risk with manual processes and no audit trail
  • Single gap analysis costs $64,000 in consultant time
  • Cannot scale to more clients without hiring proportionally

💡 Our Solution

  • Multi-Agent AI workflow automation with full ESRS taxonomy integration
  • Human-in-the-loop validation at every stage
  • Automated 4-phase pipeline: context mapping → requirement extraction → gap analysis → reporting
  • Full audit trail per data point for regulatory defensibility
✓ 100% traceable audit trail per data point
✓ Scales to 10× more clients — same team
✓ Ironclad defensibility for regulators
✓ Senior experts freed for high-value advisory work
ESG & Sustainability · Regulatory Compliance

AI-Powered EPR Platform — regulatory obligation to competitive advantage

A leading ESG company was spending 3 weeks per quarter on Extended Producer Responsibility (EPR) filing — manually reconciling data across supplier, packaging, and logistics systems. They needed to turn a cost centre into a strategic asset.

0%
Filing Time Cut
3 weeks → 3 days quarterly
∞
Scalability
Predictive cost modelling enabled

⚡ The Challenge

  • Fragmented compliance data across supplier, packaging, and logistics systems
  • 3-week quarterly EPR filing cycle — manual and error-prone
  • Navigating EPR laws across EU, US states, and global markets
  • No predictive visibility into future regulatory obligations

💡 Our Solution

  • Ontology + Knowledge Graph + Multi-agent automation
  • Four pillars: secure data vault, semantic knowledge base, intelligent workflows, AI compliance assistants
  • AI assistants guide compliance decisions in real time
  • Predictive forecasting of regulatory cost changes
✓ Full EPR audit-readiness achieved
✓ Significant OpEx reduction on compliance team
✓ Predictive regulatory cost modelling
✓ Real-time AI-guided compliance decisions
Insurance · AI Sales Intelligence

AI Conversational & Sales Agent — turning 1.5M leads into revenue

A leading insurance company had 1.5 million leads across 7 product lines allocated manually with no scoring. Agents worked identical queues regardless of lead intent, with no data-driven matching or contact time intelligence.

0%
Conversion Uplift
AI-scored vs. manual allocation
0%
Reduced Wasted Effort
AI deprioritises low-intent leads

⚡ The Challenge

  • 1.5M leads across 7 product lines — allocated manually with no scoring
  • Agents work identical queues regardless of lead intent
  • No data-driven agent-to-lead matching or contact time intelligence

💡 Our Solution

  • Real-time lead scoring with conversion probability and explainable AI recommendations
  • Bayesian-weighted agent matching and contact time optimisation
  • Powered by existing 176-table database — zero schema changes
  • AI-powered call QA compliance scoring replaces manual audit
✓ Every score includes human-readable reasoning
✓ Real-time call transcription with sentiment analysis
✓ Bayesian-smoothed routing eliminates new-agent bias
Hospitality · Semantic Intelligence

Boutique Hospitality Group — from fragmented systems to unified intelligence

A leading boutique hospitality group had data fragmented across PMS, POS, Revenue, CRM, and Distribution systems. No unified semantic layer and investment decisions driven by assumptions rather than structured intelligence.

0°
Unified View
Cross-system intelligence across properties
0%
Profit Transparency
Net ADR & channel-level profitability

⚡ The Challenge

  • Data fragmented across PMS, POS, Revenue, CRM, Distribution
  • No unified semantic layer linking reservations, channels, costs, guests
  • Scenario modelling driven by assumptions, not structured intelligence

💡 Our Solution

  • Hospitality ontology modelling Property, Reservation, Guest, Channel, Revenue, Cost
  • Integrated all systems into enterprise Knowledge Graph
  • Graph-augmented AI for natural-language querying and true Net ADR
✓ Standardised KPIs across properties
✓ Eliminated manual reconciliation
✓ Scenario-based marketing optimisation
✓ Scalable multi-property backbone

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support@adeptnova.com · +44 141 587 7606 · 272 Bath Street, Glasgow G2 4JR