Two decades of data expertise, focused on Dynamics 365
We started Vyrtex Partners on a simple premise: the analytics layer on top of F&O and Business Central should move faster to build than it traditionally has, without asking clients to trust it any less.
20+ years in data, analytics, and BI
Vyrtex Partners is built on more than twenty years of hands-on experience in data architecture, business intelligence, and analytics delivery. That experience spans retail, manufacturing, government, and higher education — sectors with genuinely different data environments, but recurring patterns in what separates a platform people trust from one they route around.
Dynamics 365 Finance & Operations and Business Central are where we focus that experience, built on Microsoft Fabric and Power BI. We track both platforms closely as they evolve — and as organizations migrate onto them from GP, NAV, AX, or SL — so clients get architecture decisions grounded in where the platform is headed, not just where it's been.
AI accelerates the work. It doesn't replace the judgment.
We use AI throughout our methodology to compress the parts of a Dynamics 365 analytics build that are typically slow — discovery across F&O or BC entities, documentation, first-draft modeling, initial code generation — so our consultants spend more time on architecture decisions, edge cases, and the judgment calls that actually determine whether a platform succeeds.
Automated data profiling
AI-assisted tools map your F&O or BC entities, schemas, and lineage in days, giving us a real current-state picture without weeks of manual discovery.
Informed architecture
Architecture and semantic model recommendations draw on patterns proven across many prior Dynamics 365 engagements, then get refined by our consultants for your specific context.
Accelerated, human-reviewed delivery
AI speeds up dataflow, model, and report development against your ERP data. Every deliverable still goes through senior human review before it reaches you — speed doesn't replace quality control.
Copilot-ready enablement
We train your team not just on the platform, but on using AI-assisted, natural-language analytics within it — so your organization stays capable long after the engagement ends.
A few principles that don't change engagement to engagement
Right-sized delivery
We scope to the problem in front of us, not a standard package. A starter dashboard and an enterprise platform get very different treatment.
Governance from day one
Security, access, and data governance aren't an afterthought bolted on at the end — they're part of the design from the first architecture conversation.
Enablement over dependency
We build platforms your team can actually own and extend, and we train people to do it — the goal is a client who needs us less over time, not more.