01
AI strategy & governance
Prioritise roadmaps, use cases and business value. Define guardrails, cost controls, observability and responsibility for AI decisions.
Data & AI
From AI strategy to agentic AI in production: turn data into decisions, governed from day one.
UNDERSTAND · PREDICT · GOVERN
A practical path from data to decisions
Connect AI readiness and use-case priorities with the data foundations, evaluation and deployment work they require. Define human oversight, governance controls and operational ownership before introducing AI into enterprise workflows.
Predictive machine learning supports scoring and forecasting; GenAI and agents support knowledge and task execution. Discuss your business task, available data and governance constraints, or explore the product pages for a software enquiry.
Specialist services
Data & AI services
Choose the specialist service that fits your next decision.
02
Agentic AI & GenAI
Knowledge assistants and task-executing agents on enterprise data, with evaluation and guardrails. Connect GenAI and retrieval-augmented generation (RAG) to specific business tasks.
03
Data platforms & analytics
Build the platforms and pipelines that organise enterprise data. Deliver Power BI analytics and a foundation for reporting, predictive dashboards and AI use cases.
04
Machine learning
Apply prediction, scoring and forecasting to business decisions. Evaluate models for churn, demand, fraud, anomalies and loan-default risk against an agreed baseline.
Strategic value plays
Put governed intelligence to work
Data & AI contributes use-case prioritisation, data readiness, evaluation and oversight. Digital Transformation and Cyber Security provide engineering and code-assurance components.
Value playCustomer triggerBusiness outcomeLinkfields IP
- Customer trigger
Teams need usable intelligence within processes, not disconnected AI experiments.
Business outcomeStart with a task, data and control map. Add evaluated AI orchestration to workflows and measure adoption and process performance.
Linkfields IP- Linkworks
- Intelligent Workflow Automation Framework
- testoriumz
- Cyber-Safe Delivery
- Customer trigger
AI-enabled development needs defined evaluation and accountable acceptance.
Business outcomeStart with evaluation criteria for AI-written change. Combine data and AI governance with engineering and security assurance gates.
Linkfields IP- testoriumz
- VectorX
- Cyber-Safe Delivery
Linkfields IP and accelerators
Linkfields AI software for enterprise workflows
Use Linkfields software on its own or alongside specialist services.
textIQ
Intelligent search and insight across unstructured enterprise content. Explore document intelligence for teams working with dispersed knowledge and document-led processes.
Related solution and accelerator
FinSight
Conversational analysis and reporting over financial data. Explore financial questions and reporting tasks with business and data owners.
Related analytics accelerator
EduPilot
Rapid course creation for education and corporate learning. Explore how EduPilot supports course creation for your organisation’s learning requirements.
Data and simulation accelerators
Data & AI Readiness, Predictive Analytics Suite and Digital Twin & Simulation Suite support readiness, prediction and simulation work.
Related capabilities
Software and services are separate choices
Products are available by licence, subscription or SaaS, with or without a Linkfields services engagement. Agree deployment, data handling and integration requirements for the selected offering.
Delivery and engagement
From AI use case to governed operation
Illustrative engagement pattern: agree scope, owners and acceptance criteria before delivery.
01
Prioritise and govern
Define the business task, available data, risk constraints and decision owner. Agree evaluation and human-oversight criteria.
Example output
Use-case brief and control plan
02
Prepare, build and evaluate
Prepare data, build the model or agent workflow and test it against the agreed baseline. Review failure cases and access controls.
Example output
Evaluation set and test findings
03
Deploy, measure and operate
Agree production acceptance, monitoring, escalation and operational ownership. Measure adoption and business relevance after deployment.
Example output
Operating runbook and measurement plan
Governance and evidence
Agree data sources, evaluation criteria, failure cases, human-review rules and permitted agent actions. Establish deployment, access, monitoring and cost responsibilities before acceptance.
Industry context
Where this portfolio applies
Explore illustrative Data & AI use cases for your industry.
BFSI
Fraud detection, loan-default prediction and financial analysis.
Retail, FMCG & CPG
Demand forecasting and inventory simulation.
Manufacturing
Equipment failure prediction and operational monitoring.
Education
Course creation and search across learning content.
Let’s connect
Talk to us about a governed AI use case
What happens next
- We route your enquiry to the relevant portfolio specialist.
- Where needed, we agree an NDA before you share confidential information.
- We clarify your priorities and agree the right next step with you.