Fragmented definitions
Each entity defining core measures differently, so group reporting requires reconciliation.
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Move from AI experiments to governed, measurable Copilot and agent capability across Microsoft 365, Dynamics 365 and Power Platform.
Sales, service, field operations and customer data on a platform your teams will use, with the data quality that makes it dependable.
Apps, automation, portals and analytics delivered quickly, inside a platform model that keeps ownership and data boundaries under control.
Cloud platform, migration, integration, Microsoft Fabric analytics and the Microsoft security stack, designed as an operating model rather than a diagram.
Collaboration, content, intranet and employee experience with the information architecture and governance that keep them working.
Independent assessment, roadmapping and business-case support that turn ambition into a sequenced, fundable plan.
Solution, data, integration and security architecture with the decisions written down so the solution can be owned later.
Agile delivery, configuration, low-code development, migration and integration, released through a controlled path.
Functional, integration, acceptance, security and performance testing that produces artefacts you can review.
Stakeholder engagement, communication, training and adoption programmes measured by what people actually do.
Application support, platform administration, monitoring, incident management and a funded enhancement backlog.
Public and financial
Commercial and industrial
Who we are, how we work and how to join us.
Legal and standards
Industry
Customer data unification, management reporting and service automation for retail and consumer groups.
Common requests
Retail organisations often grow by acquisition, leaving several point-of-sale and finance systems and no agreed definition of a core measure. Avanteria works on unifying customer and commercial data into one governed model, and on the service automation that handles seasonal volume without proportional headcount.
Challenges
Each entity defining core measures differently, so group reporting requires reconciliation.
Contact peaks that cannot be met by hiring alone.
Interactions recorded separately across channels and entities.
Monthly packs assembled by hand from extracts.
Microsoft capabilities
Microsoft Fabric with conformed dimensions and one semantic model.
Identity resolution agreed with the business before segments are built.
Classification, routing and drafting support for high-volume queues.
Agreed definitions with owners and visible lineage.
Solution patterns
Product, location and calendar aligned once across entities.
Entity-specific definitions supported rather than overridden.
High-volume intents automated, complex work left with people.
Governance considerations
These are the constraints we design against in this sector. They are established during discovery rather than discovered during assurance.
Solution scenarios
Automated classification, routing and drafting support for high-volume service queues, with clear escalation to people.
A governed reporting layer that gives leadership one set of numbers with agreed definitions and visible lineage.
A conversational front end for leave balances, requests and policy questions, working against the existing system of record.
Customer story
Several operating entities moved from separate extracts to one governed semantic model with owned definitions.
Data and Analytics
Microsoft Fabric suits many analytics estates well. The decision should still be made against workload characteristics, not defaults.
Data and Analytics
Reports are replaced constantly. The model beneath them should not be. Design choices that keep a model useful through change.
Business Applications
Automation in customer service works when the boundary between machine and human is explicit, measured and adjustable.