Real results. Real data. Real ROI.

Name: AdeptNova
Rating: 5.0

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

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Big 4 Consulting · ESG Compliance

CSRD AI Copilot - from 8 weeks to 10 days

A Big 4 consulting firm needed to deliver CSRD gap analysis for clients across Europe. With 1,200+ 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.

Cost Reduction

$64,000 → $8,400 per report

Time Saved

8 weeks → 10 days

The Challenge

1,200+ complex ESRS datapoints to map across 82 Disclosure Requirements
Manual compliance mapping takes 6-8 weeks per client engagement
High error risk with manual data aggregation and no formalized audit trail
Single gap analysis costs $64,000 in senior consultant hours
Inability to scale service delivery to new clients without proportional hiring

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.

Manual Effort Reduction

3 weeks → 3 days quarterly

Regulatory Compliance

Adherence with regulatory changes

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.

Conversion Uplift

AI-scored vs manual allocation

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

Profit Transparency

Net ADR & channel-level Profit Visibility

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

Designed and implemented a hospitality ontology modelling Property, Reservation, Guest, Channel, Revenue, and Cost, and built an enterprise Knowledge Graph
Integrated PMS, POS, CRM, Revenue, and Distribution systems
Enabled graph-augmented AI for natural-language business querying, scenario modelling, and true Net ADR with channel-level profitability attribution

Standardised KPIs across properties

Eliminated manual reconciliation

Scenario-based marketing optimisation

Scalable multi-property backbone

Forestry & Logistics · Supply Chain Intelligence

Woodchip Supply Chain Platform - from paper trails to real-time intelligence

Multiple supply chain operators in USA and Canada are managing the entire flow from sawmill to pulpmill using spreadsheets, paper-based displacement reports, and phone calls. With thousands of truck and ship trips to sawmill, port, pulpmill, and various other businesses, there were multi-party handoffs across sawmills, trucking companies, ports, and shipping lines - tonnage discrepancies, OD% disputes, and inventory blind spots were costing them weeks of reconciliation every month. They needed a single platform to replace fragmented, manual operations with real-time digital intelligence.

Operational Efficiency Gain

Manual tracking → automated end-to-end pipeline

Supply Chain Traceability

Sawmill → Truck → Port → Barge → Pulpmill

The Challenge

Thousands of truck and ship load trips tracked manually across spreadsheets - no real-time visibility into tonnage, routes, or driver performance
Stockpile inventory at ports managed by physical counts - no automated ledger tracking credits and debits
OD% disputes between sawmills, ports, and pulpmills - no consistent measurement pipeline across handoff points
Barge displacement and scale reports filed as standalone PDFs - no linkage to digital trip records, contracts, or payment calculations
5 stakeholder types operating in silos with no shared source of truth

Our Solution

Built a multi-tenant platform connecting all 5 stakeholder types with role-based access on a single system
Automated end-to-end trip lifecycle with multi-stage status pipeline and full audit history on every status change
Real-time stockpile ledger with automatic credit/debit entries triggered by trip status changes - eliminating manual inventory counts
Integrated sensors and hardware management system for automation of current manual workflows
Multi-analytics functions covering loads per day, tonnage per driver, OD% trends, barge utilisation, cycle time performance, and routing variance
AI-powered optimization alerts that proactively flag inefficiencies - underutilized trucks, OD% anomalies, stockpile imbalances, and more

End-to-end traceability from sawmill to pulpmill

Real-time stockpile balances with automated ledger

OD% tracked at every handoff - zero payment disputes

AI optimization alerts for proactive decision-making

Ready to see results like these?

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support@adeptnova.com · +44 141 587 7606 · Suite 2/3 48 West George Street, Glasgow G2 1BP

Woodchip Supply Chain Platform - from paper trails to real-time intelligence