Build trusted data. Then let AI act on it.
Most analytics work stalls because nobody agrees what the number means. INFOC builds governed data products and semantic models on Microsoft Fabric first, then puts agents on top of definitions the business has already accepted.
Data-to-action architecture
Six layers that must work together.
AI reliability is decided beneath the model, in the six layers under it.
Business Central, Dynamics 365, Microsoft 365, files, applications, devices and external data.
Fabric Data Factory, notebooks, pipelines, event streams and data-engineering practices.
OneLake, lakehouse, warehouse, data quality, lineage, security and product ownership.
Semantic models, Power BI, metrics, planning, forecasting and self-service governance.
Copilot Studio, Microsoft Foundry, models, knowledge, tools, workflows and agent applications.
Tracing, quality evaluation, red teaming, security, latency, cost, human review and incident response.
Microsoft Fabric
Governed, reusable data products.
Built once, then used by BI, integration and AI alike.
Design
Data strategy & architecture
Prioritise decisions, domains, ownership, sources, quality, security and operating responsibilities.
Build
Data engineering
Ingestion, transformation, orchestration, testing and monitoring across structured and unstructured sources.
Serve
Lakehouse & warehouse
Select storage and serving patterns based on workload, governance, performance and consumption.
Act
Real-time intelligence
Event and streaming patterns where the business decision cannot wait for batch processing.
Power BI & semantic models
One definition of performance.
One controlled definition of every measure, with drill-through intact.
Management intelligence
- Finance, sales, inventory, purchasing, warehouse, manufacturing, project and service measures
- Certified semantic models and reusable calculations
- Row-level security and audience-specific experiences
- Data-quality indicators and reconciliation to source systems
- Deployment pipelines, testing, monitoring and ownership
- Copilot experiences grounded in governed models and definitions
Enterprise AI & agents
Choose the right build surface.
Different scenarios need different build surfaces.
Work
Microsoft 365 Copilot & agents
Use work context, Microsoft Graph and approved knowledge for productivity and collaboration scenarios.
Business agents
Copilot Studio
Low-code agents, topics, actions, connectors, channels and business-process automation with governance.
Custom agents
Microsoft Foundry
Build, deploy and operate custom agent applications with model choice, tools, tracing, evaluation and monitoring.
Modern AI architecture must define what the agent can know, what it can do, whose identity it uses, when a human must approve, and how failures are detected and contained.
Starting point
Where to start, and how to trust the output.
Do we need Fabric to start?
Not always. INFOC begins with the decisions and measures that matter, then selects the Fabric and Power BI patterns that fit your workloads and governance.
How is AI kept trustworthy?
Every agent is grounded in approved data and identity, with tools, evaluation, human approval and monitoring defined before production.
Can this use our Business Central data?
Yes. Business Central and Dynamics 365 feed governed models in OneLake so analytics and agents reason over one trusted source.
Next step
Start with the decision, not the dataset.
Tell us the decision that is currently made on instinct. We work back to the data it needs.