What We Do

AI Services Built for
Business Impact

Six interconnected service pillars covering every dimension of enterprise AI — from the first strategic conversation to scaled, optimised production systems that compound your competitive advantage over time.

🎯 Service 01

AI Strategy &
Roadmapping

Before a line of code is written, we help you identify where AI will create the most value in your organisation — and build the business case, governance foundation, and phased roadmap to get there with confidence.

Most AI initiatives fail not because of bad technology, but because of poorly defined objectives, inadequate data foundations, and absence of a structured transformation plan. Our AI Strategy service gives you clarity, alignment, and a defensible plan.

What We Deliver

🔍
AI Readiness Assessment
Comprehensive audit of your data, people, process, and technology readiness for AI adoption
🗺️
Use Case Prioritisation
Structured scoring of AI opportunities by impact, feasibility, and strategic alignment
💰
ROI Modelling
Financial business case with realistic TCO, projected returns, and risk-adjusted scenarios
📋
AI Implementation Roadmap
Phased, resourced plan from quick wins to long-term transformation with governance gates
🏢
AI Operating Model Design
Target operating model for AI including team structures, skills, and governance bodies
📊
Board & C-Suite Presentations
Executive-ready business case materials to secure investment and alignment from leadership
McKinsey AI Framework Gartner AI Maturity Model ISO 42001 NIST AI RMF MIT Sloan Digital Readiness
Start with an AI Discovery Sprint →
🤖 Service 02

AI Agents &
Intelligent Automation

AI agents are autonomous software systems that can reason, plan, use tools, and take actions to complete complex, multi-step tasks — without constant human oversight. They represent the frontier of practical AI deployment.

We design, build, and deploy production-grade AI agents tailored to your most demanding workflows — from document intelligence and customer service automation to complex research, analysis, and decision-support systems.

Key Use Cases

📄
Document Intelligence
Extract, classify, and act on information from contracts, invoices, reports, and unstructured documents at scale
💬
Customer Service AI
Autonomous agents that handle complex enquiries, escalate intelligently, and learn from every interaction
🔬
Research & Analysis
Agents that autonomously gather, synthesise, and report on market intelligence, competitor data, and regulatory changes
Process Automation
End-to-end automation of complex business processes involving decision-making, approvals, and multi-system coordination
🛒
Sales & CRM Automation
Lead qualification, outreach personalisation, follow-up sequencing, and CRM enrichment on autopilot
📊
Financial Operations
Invoice processing, reconciliation, expense management, and compliance monitoring with human-in-the-loop controls
Discuss Your Automation Needs →
💡 Service 03

Generative AI
& LLM Development

Large Language Models have transformed what's possible in enterprise AI. But deploying them effectively — securely, accurately, and with measurable business value — requires deep expertise in model selection, fine-tuning, RAG architecture, and enterprise integration.

We build bespoke generative AI systems connected to your proprietary data, workflows, and brand voice — not generic off-the-shelf chatbots.

Generative AI Solutions

🗄️
RAG Systems
Retrieval-Augmented Generation connecting LLMs to your knowledge bases, documents, and databases for accurate, grounded responses
🎯
Custom LLM Fine-tuning
Domain-specific model fine-tuning using your data to achieve superior accuracy for your particular tasks and terminology
🧑‍💼
Enterprise Copilots
Role-specific AI assistants for sales, legal, HR, finance, and operations — deeply integrated with your tools and data
✍️
Content & Copy AI
On-brand content generation, translation, summarisation, and personalisation at scale across all channels
🖼️
Multi-modal AI
Systems that process and generate across text, images, audio, and documents simultaneously
🔐
Private AI Deployment
On-premise or private cloud LLM deployment ensuring your sensitive data never leaves your infrastructure
GPT-4oClaude 3.5Llama 4 MistralGeminiPinecone WeaviateChromaFAISS
Build Your Generative AI System →
📈 Service 04

Machine Learning,
Analytics & Forecasting

Your data is already telling you what will happen next — most organisations just don't have the models to listen. We build production-grade machine learning systems that turn historical data into forward-looking intelligence.

From predicting customer churn to optimising supply chains, detecting fraud to personalising experiences — we design ML solutions that integrate into your existing workflows and compound in value over time.

High-Impact Use Cases

📉
Churn & Retention
Predict customer churn 30–90 days in advance, enabling proactive retention interventions
🛡️
Fraud & Anomaly Detection
Real-time anomaly detection across transactions, operations, and security events
📦
Demand & Inventory Forecasting
Reduce overstock and stockouts with AI-powered demand sensing and inventory optimisation
💹
Dynamic Pricing
Real-time price optimisation models balancing revenue, margin, and competitive positioning
🔧
Predictive Maintenance
Predict equipment failure before it happens, scheduling maintenance proactively to minimise downtime
🎯
Recommendation Engines
Personalised product, content, and service recommendations that increase conversion and LTV
Build Your ML Solution →
🛡️ Service 05

AI Governance
& Responsible AI

AI governance is no longer optional — it's the foundation of sustainable AI value. Organisations that invest in responsible AI practices build deeper stakeholder trust, reduce regulatory risk, and create a competitive moat that pure technology cannot replicate.

We help you design and implement the policies, processes, tools, and cultural practices that make AI trustworthy — not just today, but as regulations evolve and your AI estate grows.

Governance Services

📜
AI Policy & Framework Design
Tailored AI policies, usage guidelines, and governance frameworks aligned to your risk appetite and regulatory context
⚖️
Bias & Fairness Auditing
Systematic evaluation of AI models for bias across protected characteristics with remediation recommendations
🔍
Model Explainability
Implementing SHAP, LIME, and other interpretability tools so humans understand why AI makes decisions
📋
EU AI Act Compliance
Risk classification, conformity assessments, and technical documentation for EU AI Act compliance
🏛️
AI Ethics Board Setup
Design and operationalise an AI ethics committee with clear charters, review processes, and escalation paths
🎓
AI Literacy Programmes
Organisation-wide AI education from board-level briefings to technical team upskilling
Build Your AI Governance Programme →
⚙️ Service 06

MLOps &
AI Infrastructure

Building an AI model is only 20% of the work. The remaining 80% is the engineering that gets it into production, keeps it accurate, and ensures it scales reliably. This is MLOps — and it's where most AI projects fail.

We build the end-to-end infrastructure that keeps your AI systems performing: automated training pipelines, model registries, deployment automation, drift detection, cost monitoring, and the observability tools your team needs to stay in control.

MLOps Services

🔄
CI/CD for ML
Automated training, validation, and deployment pipelines so model updates ship safely in hours, not weeks
📊
Model Monitoring
Real-time performance monitoring with automated alerts for data drift, model drift, and degradation
📁
Model Registry & Versioning
Central model catalogue with lineage tracking, experiment management, and rollback capabilities
☁️
Cloud AI Architecture
Cost-optimised, scalable cloud infrastructure on AWS, Azure, or GCP designed for AI workloads
🏠
On-Premise & Hybrid AI
Private infrastructure for organisations with data sovereignty, latency, or regulatory requirements
📐
Data Platform Design
Feature stores, data lakes, and real-time data pipelines that feed your AI systems reliably and efficiently
Strengthen Your AI Infrastructure →

Common Questions

AI Services FAQ

A Discovery Sprint takes 2–3 weeks. A full AI Build Programme typically runs 8–16 weeks depending on complexity, data readiness, and integration requirements. Enterprise transformation programmes are ongoing. We always start with a discovery call to give you an honest estimate specific to your situation.
It depends on the use case. Generative AI and RAG systems can work effectively with as few as a few hundred documents. Supervised ML models typically need thousands to tens of thousands of labelled examples. We conduct a data readiness audit early in every engagement to identify gaps and recommend mitigation strategies — including synthetic data generation where appropriate.
Security is foundational to everything we build. We design systems with data minimisation, encryption at rest and in transit, access controls, and audit logging. For sensitive use cases we always recommend private or on-premise deployment. All projects are governed by our security policies aligned to ISO 27001 standards. We also offer dedicated private AI deployments where your data never passes through third-party AI APIs.
Many consultancies will give you a strategy document and leave you to implement it — that's AI consulting. We do both. Our AI Build Programme takes you from strategy all the way to a production system. We're the partner that stays with you through deployment, optimisation, and scaling — not just the roadmap.
We work with organisations of all sizes. Our Discovery Sprint is specifically designed to give SMEs the same strategic rigour as enterprise clients at a fixed, accessible price. Many of our best results have come from mid-market companies where AI creates disproportionate competitive advantage relative to larger incumbents.

Which Service is Right
for Your Business?

Book a discovery call and we'll recommend the right approach — honestly, without pressure.