Winning with Artificial Intelligence
AI isn’t about tomorrow. It’s today’s competitive advantage.
Unlock Your Business’s Full Potential with AI
Your business has a wealth of knowledge and processes, but unlocking their full value requires intelligence that thinks, communicates, and acts like your team. We develop AI solutions that bridge the gap between complexity and clarity, empowering you to work faster, smarter, and with unprecedented agility.
Enablement
Upskill your workforce with training, assessments, and governance frameworks to adopt AI confidently and ethically.
Agents
Build end-to-end automation that handles multi-step workflows, from data extraction to action, so your team can focus on what matters.
Enablement
Enablement offers the essential entry-point services that guide organizations in understanding where and how AI can be effectively introduced to create rapid, meaningful impact.
Training programs
Targeted, hands-on learning paths designed to upskill teams and leaders, covering topics such as AI for Managers, Context Engineering, AI-Assisted Software Engineering, and other customizable modules that help organizations build AI literacy and practical capability.
AI Opportunity Assessments
A structured diagnostic of business processes to identify where AI can create immediate value—highlighting quick wins, automation opportunities, and cases where tasks can be efficiently augmented or replaced by AI agents.
Rapid Proof-of-Concept Development
Accelerated design and deployment of lightweight AI prototypes that validate feasibility, demonstrate tangible impact, and de-risk future investment before scaling to full production.
Data-Driven Foresight
Transform Historical Data into Your Future Playbook.
Uncover hidden patterns, anticipate outcomes, and make decisions with confidence.
How it works
Train custom-developed or fine-tuned models that are specialized in your business and in your data.
Eliminate guesswork and let data drive your decisions while eliminating tedious manual analysis.
Use cases examples
- Demand forecasting (inventory, sales)
- Risk assessment (fraud, customer churn)
- Personalization (recommendations, pricing)
- Operational optimization (maintenance, logistics)
- Energy consumption forecasting (utilities, manufacturing)
- Workforce optimization (staffing demand, skill gaps)
Case study
In the height of the COVID-19 pandemic, hospitals were struggling to identify high-risk patients early.
Winning developed a solution that, using a Custom ML model analyzing patient age, vitals, comorbidities, and lab results, predicted the severity, allowing for prioritizing critical cases.
Semantic Search
Find Answers, Not Just Keywords
Unlock hidden insights across documents, languages, and datasets, no exact matches required.
How it works
By converting text into “idea maps” (vector embeddings), it enables quick identification of relevant information across enormous sets of data and documents.
Whether you’re searching for “financial risk” in a contract, “customer frustration” in support tickets, or “sustainability” in research papers, the AI acts like a multilingual librarian who knows every book by heart.
Use cases examples
- Knowledge Management: Instantly find related research
- Customer Support: Resolve inquiries faster
- Compliance: Automatically identify impacted procedures
Case study
Winning built and operates the official search engine for a major client in the legal sector, used by thousands of users across multiple channels to find relevant court decisions.
The next-generation, semantic-based version allows users to search, for example, for “dog bites woman” and retrieve results that discuss cases such as “horse kicked child.”
Unstructured Data Extraction
No templates, no manual entry. just intelligence
From Chaos to Clarity
How it works
AI doesn’t require rigid templates.
It interprets information in text and images like a human subject matter expert using advanced language models to identify, interpret, and extract key information, such as dates, amounts, clauses, or entities, from any format (PDFs, emails, scanned forms).
It then structures this data automatically for your dashboards, workflows, databases, CRMs, or any other tools.
Use cases examples
- Procurement & AP: Automatically extract invoice numbers, line items, and totals from thousands of vendor PDFs
- Contract Management: Pull out key dates, obligations, parties, and renewal terms from legal agreements
- Customer Onboarding: Accelerate KYC/AML by auto-filling forms from uploaded identification and financial documents
Case study
Winning developed and operates a supplier management and procurement tool for a major organisation in the sports sector.
Previously, invoices received by email were manually reviewed and the data inserted into the system, but today this process is fully automated through AI.
Content Generation
From Idea to Impact, at the Speed of Thought
Automate drafts, refine creativity, and scale content without sacrificing quality.
How it works
With just enough guidance and a description of the intended goals, AI can generate tailored content, from first drafts to polished outputs.
AI amplifies human creativity and maximizes efficiency.
Content generation is becoming a commodity, allowing not only to rethink processes but also applying it in small user experience optimizations with great return on investment.
Use cases examples
- Marketing & Sales: social posts, product descriptions
- Dynamic UX: auto-complete forms, get real-time suggestions
- Customer support: FAQ answers, personalized responses
- Reporting: Automatically draft executive summaries
Case study
Winning built a solution for a market-leading recruitment company that automatically generates emotionally engaging cover letters for candidates, based on the information in their CVs.
Conversational Assistants
Business conversations grounded on factual live information
Build assistants that act on natural language commands
How it works
Conversational assistants allow humans to interact with information and systems in the interface that is the easiest and most flexible of all, the natural language.
Besides accessing the world’s knowledge, assistant can understand your business and know all about what is important to you.
Use cases examples
- Business Intelligence: “Show me Q3 sales trends for the Northwest region.”
- HR/Helpdesk: “How many vacation days do I have left?”
- Operations: “Check the status of order #45012 and notify the logistics team if it’s delayed.”
Case study
Winning developed an AI-powered assistant for a national public sector organisation, enabling data analysts and policy makers to extract actionable insights from a large-scale data warehouse using natural language.
Agents
An AI agent is a persistent, goal-oriented system that combines a language model with perception, algorithmic reasoning, action capabilities, and continuous evaluation.
Unlike simple question-and-answer interactions, an agent is configured with tools, rules, and autonomous behaviours.
A leading international fashion brand
- Business Problem:
High volumes of questions, slow response times, and inconsistent answers due
to manual handling and lack of factual validation.
- Technological Solution:
AI Native QA agent trained on internal documentation, providing grounded, consistent answers, generating summaries and FAQs, and reducing dependency on support teams.
- Key Results:
Faster responses, reduced workload, higher accuracy, and improved internal satisfaction.
A state law enforcement agency
- Business Problem:
Need for structured call intake with priority assessment, script compliance, and consistent routing of cases and resources.
- Technological Solution:
AI agent that handles calls, follows operational scripts, performs queue routing, priority scoring, case routing, and generates structured reports for internal systems.
- Key Results:
Faster triage, better prioritization, improved resource allocation, and complete operational records.
AI-Native Quality Assurance
Discover how AI is transforming Quality Assurance, accelerating testing, improving reliability, and reducing time-to-market.