Our Work: Real-World Results
See our work Transforming global delivery for a ~$200m PE-backed tech firm.
Our client is a global leader in custom software engineering with 1,600 technical experts across the Americas, Europe, and Asia.
STRATEGY & TRANSFORMATION
Transforming global delivery for a ~$200m PE-backed tech firm.
Challenge:
The client's rapid growth required a strategic transformation of its global delivery organisation to ensure future scalability, efficiency, and operational excellence.
Solution:
Engaged for an initial 12-week strategic review, we developed a comprehensive transformation plan. This included a rapid Current State Assessment, new Target Operating Model (TOM) Design, and a detailed Implementation Roadmap. Headmark Advisory was then retained long term to support the implementation, change management, and embedding of the new approach.
Outcomes:
The client's rapid growth required a strategic transformation of its global delivery organisation to ensure future scalability, efficiency, and operational excellence.
Solution:
Engaged for an initial 12-week strategic review, we developed a comprehensive transformation plan. This included a rapid Current State Assessment, new Target Operating Model (TOM) Design, and a detailed Implementation Roadmap. Headmark Advisory was then retained long term to support the implementation, change management, and embedding of the new approach.
Outcomes:
- Industry best practice operating model align to strategic objectives
- Adoption of AI agents to accelerate decision making
- Reduced fulfillment time by increasing demand generation pipeline
- Reduced duplication and overall SG&A headcount
- Reimagined career frameworks to support increased retention
Accelerating cross-border growth through product innovation.
A leading Ukrainian insurance intermediary partnered with us to navigate extreme geopolitical risk and find a path to growth in new markets. Learn how we guided them on a journey that led to the creation of a new, high-growth global company.
STRATEGY & GO-TO-MARKET
Accelerating cross-border growth through product innovation.
A leading Ukrainian insurance intermediary partnered with us to navigate extreme geopolitical risk and find a path to growth in new markets. The journey led to the creation of a new, high-growth global company.
Key Outcomes
The Strategic Insight
Our partnership uncovered that the client's most valuable opportunity was not in selling better insurance, but in solving a critical pain point for HR Directors—managing the entire employee benefits ecosystem. This insight was the catalyst for creating the new, highly successful digital platform.
Key Outcomes
- Secured Investment from Google. For a new digital venture spun out from the core business.
- Featured in Forbes' "Next 250" List. Recognised as one of the country's most promising, resilient companies.
- Launched a New Digital Benefits Platform. Pivoted from an insurance-only model to capture a larger market.
- Ensured Core Business Stability. Maintained operations and revenue amidst profound market instability.
The Strategic Insight
Our partnership uncovered that the client's most valuable opportunity was not in selling better insurance, but in solving a critical pain point for HR Directors—managing the entire employee benefits ecosystem. This insight was the catalyst for creating the new, highly successful digital platform.
Our team join us with a deep experience in delivering tangible outcomes. Here are some examples of their recent successes:
Challenge:
This multinational chemical company sought to leverage emerging AI technologies to transform information extraction and knowledge access across its global operations. The challenge lay in building scalable, secure, and compliant LLM-based products that could integrate seamlessly with existing Azure infrastructure.
Solution:
Delivered enterprise-ready AI products that transformed unstructured data into actionable knowledge. The initiative standardized LLM deployment practices at the client, enhanced cross-functional collaboration, and established a scalable framework for future AI-driven solutions across the organisation.
This multinational chemical company sought to leverage emerging AI technologies to transform information extraction and knowledge access across its global operations. The challenge lay in building scalable, secure, and compliant LLM-based products that could integrate seamlessly with existing Azure infrastructure.
Solution:
- Large Language Model-based solutions using RAG and advanced prompt engineering.
- Centralised data management pipelines.
- Full end-to-end lifecycle of LLM products from proof-of-concept to deployment.
- Developed API endpoints for scalable, cloud-native integration.
Delivered enterprise-ready AI products that transformed unstructured data into actionable knowledge. The initiative standardized LLM deployment practices at the client, enhanced cross-functional collaboration, and established a scalable framework for future AI-driven solutions across the organisation.
Challenge:
A leading audiobook publisher needed a model to identify which books to publish in audio format to maximise return on investment.
Solution:
Highly accurate, sales prediction model for audiobooks.
Increased efficiency of staff through concentrating time and effort on the most important targets.
A leading audiobook publisher needed a model to identify which books to publish in audio format to maximise return on investment.
Solution:
- Automated pipelines for data ingestion, preprocessing and cleaning
- Centralised data warehouse for modeling and reporting
- Machine learning based modeling solution to achieve accurate, stable and unbiased predictions
- Flexible reporting system with customisation capabilities.
Highly accurate, sales prediction model for audiobooks.
Increased efficiency of staff through concentrating time and effort on the most important targets.
Challenge:
Leading Agritech company required a solution that automatically detected fruits on the trees from an image.
Solution:
Our team achieved this task through the development of a deep learning object detection.
Outcome:
The 2-month PoC developed and validated a concept that outperformed human in accuracy, especially on detection of occluded fruits.
Leading Agritech company required a solution that automatically detected fruits on the trees from an image.
Solution:
Our team achieved this task through the development of a deep learning object detection.
Outcome:
The 2-month PoC developed and validated a concept that outperformed human in accuracy, especially on detection of occluded fruits.
Challenge:
The multi-national shipping company’s global procurement process was manual, slow, and inefficient. Relying on spreadsheets to manage a $15B spend caused fragmented data and missed cost-saving opportunities.
Solution:
The team supported the shipping company to develop a bespoke AI agent. The platform automated the analysis of thousands of supplier quotes and centralised data, transforming a manual process into an intelligent, strategic function.
Outcome:
The "Quest" agent slashed quote analysis time from weeks to mere hours, delivering millions in savings. It enabled faster, data-driven decisions and became a successful blueprint for AI adoption across the company.
The multi-national shipping company’s global procurement process was manual, slow, and inefficient. Relying on spreadsheets to manage a $15B spend caused fragmented data and missed cost-saving opportunities.
Solution:
The team supported the shipping company to develop a bespoke AI agent. The platform automated the analysis of thousands of supplier quotes and centralised data, transforming a manual process into an intelligent, strategic function.
Outcome:
The "Quest" agent slashed quote analysis time from weeks to mere hours, delivering millions in savings. It enabled faster, data-driven decisions and became a successful blueprint for AI adoption across the company.
Challenge:
Global reinsurance company aimed to modernise its data analytics capabilities by creating a knowledge-driven architecture to unlock relationships hidden in complex datasets. The company needed a robust, scalable knowledge graph and an MLOps backbone for production-level AI adoption.
Solution:
Outcome:
We empowered the reinsurer with a unified, intelligent data fabric that enabled faster insights and data-driven decision-making. The new MLOps and knowledge graph infrastructure accelerated the company’s AI strategy, improved collaboration between data science and engineering teams, and strengthened model governance.
Global reinsurance company aimed to modernise its data analytics capabilities by creating a knowledge-driven architecture to unlock relationships hidden in complex datasets. The company needed a robust, scalable knowledge graph and an MLOps backbone for production-level AI adoption.
Solution:
- Designed and deployed a knowledge graph architecture within a microservices environment.
- Developed APIs and integrated knowledge graph algorithms for advanced reasoning and data discovery.
- Built an MLOps infrastructure to enable reproducible model development and deployment.
- End-to-end project management, from stakeholder alignment to inference platform delivery.
Outcome:
We empowered the reinsurer with a unified, intelligent data fabric that enabled faster insights and data-driven decision-making. The new MLOps and knowledge graph infrastructure accelerated the company’s AI strategy, improved collaboration between data science and engineering teams, and strengthened model governance.
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