AI projects scoped to a number, not a buzzword
Applied AI, predictive models, document automation and LLM integration tied to measurable business outcomes.
Overview
Artificial intelligence creates value when it removes a specific cost or unlocks a specific decision. We start by identifying where your organisation spends time on repetitive judgement — invoice coding, triage, forecasting, document review — and build models around those workflows. Every engagement defines the baseline metric first, so you can see exactly what the model improved.
What you get
- Baseline metric agreed before model development
- Proof of concept delivered in four to six weeks
- Explainability and bias review on every model
- Human-in-the-loop fallback for low-confidence cases
Technology we use
What this service covers
Six core capabilities. Engage all of them as a programme, or just the one you are missing.
Automation of repetitive processes
Classification and extraction models that remove manual data entry, reduce errors and free skilled staff for higher-value work.
Predictive analytics
Demand, churn, risk and maintenance forecasting built on your historical data with honest accuracy reporting.
Document & OCR intelligence
Invoice, contract and claim processing pipelines that read unstructured documents into structured records.
LLM & copilot integration
Retrieval-augmented assistants grounded in your own knowledge base, with access control and audit logging.
Computer vision
Quality inspection, counting and detection models deployed to cloud or edge hardware.
MLOps & model lifecycle
Versioned datasets, retraining pipelines and drift monitoring so models stay accurate after launch.
How a ai & machine learning engagement runs
Four stages, each with a defined output you can review before the next one starts.
Discovery
Workshops, current-state review and a written specification with a firm estimate.
Design
Architecture, data model and interface prototypes agreed before build begins.
Build & QA
Two-week sprints with working software, automated tests and a demo every iteration.
Launch & care
Release through an automated pipeline, handover training, then warranty or managed support.
Services that often go with this one
Custom Software Development
Purpose-built platforms, internal tools and product engineering delivered by senior cross-functional teams.
Web Application Development
High-performance web applications, customer portals and marketing sites engineered for speed and search.
Mobile App Development
Native and cross-platform iOS and Android apps, from concept and store launch to long-term release management.