Implement AI agents
Build agents that answer business questions, use approved tools and connect to enterprise data, with access and action limits defined.
All solutionsDATA & AIBusiness data.
Business data.
Intelligent solutions.
Bring data architecture, reporting and AI applications together around the decisions your teams need to make.
WHERE WE CAN HELPBuilt around the work
Built around the work
your business needs.
Build knowledge assistants
Connect approved documents and knowledge sources to enterprise search and retrieval-augmented generation, with source references and access controls.
Support AI-assisted decisions
Connect AI applications to semantic models for planning and analysis. Define how users review responses and validate the underlying business measures.
Build the data foundation
Design data architecture and end-to-end ETL. Prepare connected, usable data for AI applications and reporting.
Develop semantic models and reporting
Build Microsoft Fabric and Power BI models around business definitions, refresh needs and the decisions teams make.
Evaluate and improve
Test representative questions, source quality and access boundaries. Refine prompts, retrieval and integrations through evaluation and user feedback.
POSSIBILITIES FOR YOUR BUSINESS
Start with an everyday task.
Illustrative use cases to explore together. Scope, integrations and outcomes depend on your business.
Find answers in company knowledge
Help employees ask questions across approved policies and procedures, with source references and access checks.
Explore knowledge assistants →Explore planning questions
Connect trusted measures and semantic models so users can explore staffing, demand or performance, then review the interpretation.
Understand AI agents →Start with one useful AI task
Choose a focused question or action, establish a baseline and evaluate a pilot before expanding its responsibility.
Plan your first implementation →TECHNOLOGY EXPERTISE
A connected toolkit.
Microsoft FabricAzure Data FactoryAzure SQLPower BIAzure AIAzure AI SearchCopilot Studio
START WITH CLARITY
Define the need before the build.
Start with the use case, knowledge sources and permitted answers or actions. Agree data access, evaluation criteria and the path from a focused prototype to a supported implementation.
A clear route to a working solution.
- DiscoverA scoped brief, source and system map, and agreed success measures.
- PrototypeA focused version to try with representative business examples.
- EvaluateReviewed results, exceptions and an agreed release decision.
- Roll outDeployment, user guidance and a named support route.
- ImproveFeedback, operational review and a prioritised improvement plan.
We agree the deliverables for your scope during discovery.
RELATED WORK
Applied across industries.
PRACTICAL PERSPECTIVES
Explore what this could look like.
AI agentsPRACTICAL GUIDE
AI agents in everyday work: where should you start?
A practical introduction to agents through familiar work: finding answers, handling requests and preparing actions.
Read the guide →AI agentsPRACTICAL GUIDE
Turn company documents into a useful knowledge assistant
Plan an assistant that helps employees find grounded answers while respecting access and source quality.
Read the guide →Getting startedPRACTICAL GUIDE
Plan your first AI implementation around one useful outcome
A practical planning guide covering ownership, data readiness, evaluation, cost and support.
Read the guide →