Business Improvement Delivered
Consultancy Services
Atoxor has the tools, experience and practical expertise to help organisations achieve their desired business improvement results. We identify and quantify inefficiencies, uncover opportunities for improvement, and develop innovative, practical solutions that deliver measurable benefits, strengthen performance and create sustainable long-term value.
EUDR Operating Model
Atoxor helps organisations design and implement practical EUDR operating models that turn regulatory obligations into clear, manageable ways of working. We define processes, roles, controls and decision points, creating an integrated framework that strengthens governance, supports consistent execution and enables defensible EUDR decisions.
Business Improvement Results
£152M
Client Savings
25%
Average Efficieny Gain
15+
Global Clients
Sectors
Financial Services
Atoxor has extensive experience in the financial services sector, delivering process improvements, cost reductions, and enhanced regulatory compliance.
Utilities & Infrastructure
Atoxor specialises in optimising operational processes for utility and infrastructure companies, driving significant cost savings and operational resilience.
Digital Assets & Technology
Atoxor has a strong presence in the digital assets and technology space, designing and implementing scalable processes for emerging financial platforms.
Supply Chain & Operations
Atoxor builds governed, measurable supply-chain operations, from offshoring and target operating models to standardised controls and KPIs.
EUDR Operating Model
Atoxor delivers EUDR operational solutions at enterprise scale, including a full SOP framework, KPIs, controls, architecture, maturity assessment for supply-chain readiness.
Insurance
Atoxor has deep experience across the insurance sector, transforming underwriting, claims, and policy processes to reduce cycle times and cost while strengthening compliance.
Our Approach
Our approach is based on the Lean Six Sigma Methodology. Lean Six Sigma is a customer-driven approach based on the principle of eliminating activities that do not create value for the customer or the business. This creates additional time to focus on activities that increase profit and attain greater customer satisfaction.
The Lean Six Sigma approach uses the DMAIC framework (Define, Measure, Analyse, Improve and Control):
01
Audit Performance
The aim of the Lean Six Sigma audit is to Define and Measure the performance of the business and provide deeper insights into pain points and bottlenecks
02
Define Solutions
In this phase, we Analyse the root causes of the identified inefficiencies and develop tailored solutions to address the specific challenges faced by your business.
03
Implement Quick Wins
We Improve your business by implementing immediate, high-impact changes that deliver rapid results. These "quick wins" focus on addressing the most critical issues with minimal disruption.
04
Implement Long Term Solutions
We ensure sustained performance by Controlling and monitoring the implementation of long-term solutions, embedding them into your operational framework to prevent recurrence of issues and promote continuous improvement.
Case Studies
See our Case Studies to see how we have already helped clients
Standardisation & Compliance in Digital Asset Infrastructure
Problem
A digital assets infrastructure company was struggling with the complexity of its crypto custody processes. The rapidly changing regulatory landscape and evolving product features made it difficult to maintain robust process management, leading to inefficiencies and potential compliance risks.
Solutions
The initiative focused on standardising controls for process management amidst evolving features and regulations, resulting in the development of a process framework with eight subprocesses and a comprehensive documentation to optimise workflow and ensure regulatory alignment.
Benefits
The project significantly improved the digital asset management process, reducing the risk of compliance breaches and operational inefficiencies. Standardising processes enhanced adaptability to the fast-evolving digital asset environment, improving both operational readiness and regulatory compliance.
EUDR Operating Model Deployment in Biopharmaceuticals
Problem
A global biopharmaceutical company faced the EU Deforestation Regulation across a complex, multi-country supply chain. Without a structured operating model, compliance risked becoming a series of disconnected manual efforts that would not hold under audit.
Solutions
Atoxor delivered a complete EUDR SOP framework aligned to the 2026 simplification package. The work established the governance, controls, and documentation needed for consistent compliance. By integrating these core elements, the framework provides a clear, step-by-step roadmap that simplifies day-to-day regulatory operations.
Benefits
The company moved from regulatory uncertainty to a governed, repeatable operating model that stands up to audit. This structured approach eliminates guesswork, ensuring the business can confidently and consistently prove its compliance to auditors over time.
Process Optimisation in Financial Services
Problem
A leading financial services provider was facing significant operational challenges within its Anti-Money Laundering and Know Your Customer divisions. The existing processes were inefficient, leading to delays in compliance and potential regulatory breaches, resulting in lower First Call Resolution rates and Net Promoter Scores.
Solutions
A comprehensive redesign of five core processes was undertaken to align operations with evolving regulatory requirements. The optimisation effort included the creation of detailed subprocesses, standard operating procedures, and key performance indicators to monitor compliance and operational efficiency.
Benefits
The initiative resulted in a significant improvement in First Call Resolution and a notable increase in the company’s NPS. By streamlining operations and enhancing process visibility, the company was able to meet regulatory demands more effectively, reduce compliance risks, and improve operational efficiency.
Machine Learning in Utility Asset Management
Problem
A major utility company was struggling with inefficiencies in its pipe replacement and repair processes. Traditional methods led to increased costs and suboptimal asset management amidst rising regulatory demands. The ageing infrastructure further complicated decisions, making it difficult to allocate resources.
Solutions
A machine learning model was implemented to analyse historical data and predict pipeline failures. This enabled data-driven decisions on whether to replace or repair pipes. Standardised processes, supported by detailed policies and KPIs, were introduced to integrate the model into asset management practice.
Benefits
The model improved decision-making efficiency significantly. It also extended asset lifespans and ensured regulatory compliance, enhancing overall operational efficiency. Moreover, the initiative reduced downtime and improved customer service by proactively addressing pipeline issues.