AI Transformation Portfolio

What We Have Built, and How to Work with Us.

The platforms we have delivered, the ways to engage us and our portfolio to download.

4
Case studies
4
Ways to engage
3
Regions: UK & Europe, US, GCC & MENA

AI capabilities

Applied AI, not AI theatre.

Six capabilities we build into real systems, and what each one does for the people using them.

  • Answers grounded in your own documents

    We turn documents such as protocols, policies, manuals, and guidelines into a searchable knowledge layer.

    • Retrieval-augmented generation
    • Embeddings
    • Vector search
    • Citation and refusal guardrails
    In
    Protocols, policies, manuals and guidelines
    Out
    Answers with sources attached, or a refusal when nothing relevant is found
    How it works

    Content is split into passages and converted to embeddings. At question time the system retrieves the most relevant passages, and the language model answers only from them, with sources attached. If nothing relevant is found, it declines instead of guessing. The result is an assistant that is accurate, consistent and always available, even for questions where a wrong answer has consequences.

  • Turning photos, voice, and text into structured data

    Most real-world data arrives as an image, a recording or a loose sentence.

    • Computer vision
    • Speech-to-text
    • Natural-language parsing
    • Entity matching
    In
    A photo, a recording or a loose sentence
    Out
    A structured record, matched to reference data with units normalised
    How it works

    We combine image recognition, speech transcription and language parsing so any of the three becomes a clean, structured record. Detected items are matched against trusted reference databases, and quantities and units are normalised. People get a one-tap way to capture data, and the business gets consistent, analysable records instead of free text.

  • Drafts in seconds, decisions stay human

    Writing and reviewing consume expert hours.

    • LLM summarisation
    • Structured prompting
    • Human-in-the-loop approval
    • Audit logging
    In
    Long histories and dictation
    Out
    Drafts held for approval, with every accepted edit logged
    How it works

    We use language models to summarise long histories, turn dictation into clean notes, and draft replies and reports. Outputs are shaped by structured prompts and templates, flagged as drafts, and held behind an approval step. Every accepted edit is logged. You get the speed of automation without surrendering accountability, which is what regulated and high-stakes work demands.

  • Reading scanned documents into validated fields

    Valuable information is trapped in scanned pages, PDFs, lab reports, forms and receipts.

    • Intelligent document processing
    • OCR
    • Layout analysis
    • Schema validation
    In
    Scanned pages, PDFs, lab reports, forms and receipts
    Out
    Validated fields in your systems, with anything uncertain sent to a person
    How it works

    We combine optical character recognition with layout analysis and entity extraction to pull out the fields that matter. Extracted values are validated against expected formats and business rules before they enter your systems, and anything uncertain is routed for human review. The result is less re-keying, fewer transcription errors and documents that finally become usable data.

  • Classifying what people say, across thousands of posts

    Opinion, feedback and market chatter run to thousands of items a day.

    • Natural-language processing
    • Sentiment and emotion classification
    • Topic clustering
    • Scheduled data pipelines
    In
    Thousands of items a day, from many sources
    Out
    Sentiment, topics and trend drivers, tracked run to run
    How it works

    We build pipelines that collect from many sources on a schedule, then classify sentiment and emotion, cluster topics and extract the drivers behind each trend. Results are tracked run to run, so shifts show up as they start. Teams get a continuous, explainable read of their market in place of a one-off report.

  • Assistants that work on your live data

    Dashboards and databases hold the answers, but only to people who know where to look.

    • Natural-language interfaces
    • AI triage and prioritisation
    • Risk flagging
    • Retrieval over structured data
    In
    A plain-language question
    Out
    Ranked items, flagged risks and next actions, with the reasoning shown
    How it works

    We add conversational assistants that turn plain-language questions into queries over your live data, then rank open items, flag at-risk records and suggest next actions with the reasoning shown. Anyone can ask, from analysts to managers. The result is faster decisions, and fewer problems found late.

Case studies

Platforms we have delivered.

Four engagements across the UK, the US and the Middle East, from internal operations to patient care. Client details stay private; what we built does not.

  • Client & Workforce Operations Management Platform

    For: a UK business managing client work and a project workforce

    Projects, people and client work were tracked across separate spreadsheets.

    • One view for leadership
    • Projects, people and clients together
    Read the case study
  • Event Operations & Experience Management Platform

    For: a UK live-events operator

    During a live event the schedule, the staff and the guest experience all move at once, and scheduling clashes add to the operational overhead of running it.

    • One live control platform
    • Fewer scheduling clashes
    Read the case study
  • Plastic Surgery Workflow & Performance Management Platform

    For: a plastic surgery clinic in Miami

    Running a plastic surgery practice means following each patient from first booking through surgery to post-op follow-up.

    • Booking to post-op in one place
    • Less admin for the clinic team
    Read the case study
  • Enterprise Workforce & Resource Management System

    For: a consulting firm in Saudi Arabia

    Managers at the firm could not see who was billable without building reports by hand, and approvals, staffing and resource planning were not in one place.

    • Approvals to allocation in one system
    • Billable time visible
    • Fewer hand-built reports
    Read the case study

Engagement models

Ways we work with you.

Flexible engagement models designed around your business outcomes.

  • Specific skillsFlexible capacity

    Staff Augmentation

    Add AI, data, software, or agile specialists to your team, and use AI agents to take on repeatable tasks alongside them. Adjust capacity as the work changes.

    Explore the service
  • Staff trainingLasting capability

    Capacity Building

    Give your team hands-on training in the tools and ways of working they use every day. We tailor sessions to your goals and help new skills take hold in real projects.

    Explore the service
  • Expert guidancePractical plans

    Consultancy Partnership

    Get guidance on business processes, agile ways of working, AI integration, and data strategy. Engineers who build and embed AI automation into your operations, reducing manual steps in the work you choose to automate.

    Explore the service
  • Delivery responsibilityYour involvement

    Managed Project Delivery

    We plan and deliver the agreed scope and stay accountable for it, while you stay involved at every step.

    Explore the service

Industries we serve

  • Healthcare & Life Sciences
  • Financial Services
  • Retail & E-commerce
  • Consumer Goods
  • Manufacturing & Supply Chain
  • Professional Services
  • Public Sector
  • Food & Beverage

See the products we build

Have a platform in mind? Let’s talk about it.

Discuss your project