Fabric Readiness Assessment
We review your current estate, size the Fabric capacity you actually need, model the cost and hand you a 90-day roadmap.
Microsoft Fabric · Data engineering · AI
We design, migrate and run Microsoft Fabric platforms for mid-sized and enterprise teams. You get numbers people trust and AI that reaches production, delivered by senior engineers at a fixed price.
DP-700 · DP-600 · AI-102 certified team / Microsoft AI Cloud Partner
Services
Start small with an assessment, build the lakehouse, migrate what is left, then let us keep it running. Each package has a fixed scope, a fixed price and a clear hand-over.
We review your current estate, size the Fabric capacity you actually need, model the cost and hand you a 90-day roadmap.
A production medallion lakehouse with metadata-driven ingestion, your first semantic models, CI/CD and a governance baseline.
Move Synapse, SSIS, SQL Server and Power BI Premium workloads to Fabric with automated code conversion and data validation.
Copilot readiness, Fabric data agents and retrieval-augmented apps on Azure AI Foundry, grounded in your governed data.
Microsoft Purview, sensitivity labels, row-level security and lineage, aligned with GDPR and the EU AI Act.
We monitor pipelines, tune capacity spend and ship monthly improvements, so your team can focus on the business.
Approach
Two-week sprints, a board you can see and a weekly demo with a capacity-cost report. Every engagement ends with your team able to run it without us.
Inventory sources, reports and licences. Agree the target architecture and the business KPIs we will move.
→ roadmap, cost modelBronze, silver and gold layers in OneLake, built from our tested templates instead of from scratch.
→ working platform, CI/CDMove pipelines and reports workload by workload, with row-count and checksum validation on each.
→ legacy switched offMonitoring, cost tuning and new features each month, or a clean hand-over to your own team.
→ runbooks, trained teamAI on Fabric
Most AI pilots stall on messy, ungoverned data. We fix the foundation first, then put AI on top where it pays back.
Every AI build includes access controls, evaluation tests and a usage-cost forecast before go-live.
Why Avante
We price by deliverable and measure success by your KPIs, not by timesheets.
Git-integrated workspaces, automated tests and documentation come with every delivery.
You see our backlog, your capacity costs and the risks every week. Bad news travels fast.
Knowledge transfer is built in. Our aim is a team that no longer needs us.
Security, privacy and the EU AI Act are designed in from the first sprint.
We do one platform deeply. No second stack to sell you, and every project is led by a senior architect.
Contact
Tell us about your current data estate. Within two business days we will reply with a first view of scope, capacity and price.
hello@avantedata.ai