Expert Group is an engineering partner for enterprise software, data and business analytics. From reporting as a service to AI assistants that run inside your own network — we build systems that turn your data into decisions.
Enterprise clients rarely lack tools. They lack connected systems, trusted data, and fast decision cycles.
Excel files, several BI tools, PDFs in email — no single number anyone trusts.
Power BI embedded in your portal, one data model, certified measures — and talk-to-your-data.
Workflows that matter still run on email and spreadsheets. Time leaks, errors pile up.
From tax-return preparation to delivery planning — processes that run themselves.
NAV/BC holds the data, but the shop floor and the planners cannot see it in real time.
A service bus, shop-floor scanning, reports with no waiting.
We do not sell slides. Every product came out of a real project and runs at clients today.
Power BI embedded in your portal, a centralised data model and talk-to-your-data — a production-ready platform for CFO, COO and CIO teams. Microsoft Fabric, several companies in one instance, your branding.
Learn more →Production tracking and delivery planning, natively integrated with NAV/Business Central. Power BI included.
A comprehensive property-tax platform: automatic return preparation through to XML for the LPA portal, backed by a team of 30+ tax experts.
An AI assistant over your Power BI model — local inference, deterministic DAX, data never leaves your network.
Connect an AI assistant to Minimax accounting: invoices, customers, VAT and analytics — in plain language.
Every engagement is led by an architect or a senior engineer — no pyramid staffing, no bench.
Web applications, workflow systems, portals and internal tools, API and integration layers, operational platforms.
Power BI and embedded analytics, Microsoft Fabric, data warehouse and lakehouse architectures, talk-to-your-data.
Azure architecture, cyber security and vCISO services, training and knowledge transfer to your teams.
We believe AI over business data has to be private, verifiable and under your control. We have run all four deployment postures in production — Azure-native SaaS, hybrid with on-premise data residency, fully inside the client's own network with no data egress, and inside the client's own tenant. You pick which one your rules allow.
Open-weight language models on your own hardware. Where the rules require it, not one token of a user's question leaves your network.
The AI does not write queries from memory — the backend builds them from a governed catalogue. Same question, same result, full audit trail.
Connect AI assistants to the tools you already use — from accounting to internal systems.
From a government ministry to US healthcare — delivered in nine countries by the same team.
A 90-minute working session with your team — small commitment, concrete output: a current-state finding and a proposed plan.
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