Get your ML Architecture right before you build.

We help enterprise teams assess readiness, map data dependencies, and define the architectural decisions needed to integrate machine learning into Microsoft Fabric, reducing implementation risk and governance gaps before a single line of code is written.

ML architecture and implementation guidance is an advisory service that helps enterprise teams validate readiness, surface data dependencies, and define architecture decisions for integrating machine learning into Microsoft Fabric before build-out begins. Lunar Point Systems leads these engagements to reduce the implementation risk, governance gaps, and rework that occur when architectural assumptions are made too late.

Reduces implementation risk before commitment to build
Surfaces dependencies, governance gaps, and ownership boundaries early
Practical recommendations, not abstract assessments
Work with a trusted Microsoft certified team
Request an Architecture Review
Request an Architecture Review
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Clear, prioritized recommendations for integrating machine learning inside Microsoft Fabric.

Implementation gets harder when architectural assumptions are unclear, data dependencies are undiscovered, or governance requirements are addressed too late. The cost of a wrong architectural decision compounds as build-out progresses. This service creates clarity early when it is least expensive to act on it.

Validate ML readiness against your existing Fabric environment and governance standards
Surface data flow dependencies and ownership boundaries before they become blockers
Define the right architecture for scalable, governable ML inside Fabric
Create a clearer, lower-risk path to implementation with defined next steps

Designed for predictability, 
not surprises

We bring an implementation-minded view to architecture engagements. The goal is never an abstract assessment. It is a practical path that aligns with Fabric, enterprise controls, and the realities of how your teams actually work. Recommendations are designed to be actionable, not just correct.

View Our Engagement Models
View Our Engagement Models
See How We Work
See How We Work
Architecture Review & Recommendations

A structured assessment of your current data and analytics architecture with clear recommendations for integrating machine learning inside Microsoft Fabric using proven, enterprise-aligned patterns.

Data Flow & Dependency Mapping

Detailed mapping of upstream data sources, transformations, and downstream consumers to surface operational risks, ownership boundaries, and scaling constraints before they affect implementation.

Readiness & Risk Assessment

Assessment of your current-state readiness against the data, governance, security, and operational requirements that production ML in Fabric will place on your environment.

Guided Implementation Workshops

Collaborative working sessions with your technical teams to walk through recommended architectures, validate assumptions, and align on implementation decisions before build-out.

Documented Findings & Next Steps

Written findings, architectural recommendations, dependency maps, and a prioritized set of next steps your team can act on with or without further Lunar Point Systems involvement.

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The practical difference for your team.

No Separate Vendor Assessment
Because we operate inside your environment, your security team doesn't need to onboard or assess us as an external vendor. We fall within the perimeter they already manage.
Fits Regulated Industries
Healthcare, finance, and government teams can engage confidently. No data leaves your environment, so existing data transfer restrictions simply don't apply.
See Our Services
See Our Services
Faster Time to Value
No new vendor onboarding, no procurement cycles, no integration work. We operate inside the stack you already own and can start immediately.
How We Work
How We Work
Full Control Stays With You
You define the access, own every output, and can revoke permissions at any point. Nothing we build or touch leaves your control.
See How to Engage
See How to Engage

Everything you need to know

How this service works, what’s included, and what to expect from an engagement. If yours isn’t answered here, the fastest path is a short conversation.

What is ML architecture guidance for Microsoft Fabric?

ML architecture and implementation guidance from Lunar Point Systems is an advisory engagement that helps enterprise teams assess readiness, map data dependencies, and define the architectural decisions needed to integrate machine learning into Microsoft Fabric before implementation begins.

When should architecture guidance happen?

Ideally before implementation begins, especially when multiple teams, systems, or governance requirements are involved. But it is also valuable mid-stream. If architectural issues are creating blockers, slowing delivery, or creating governance gaps in an existing ML program, that is a valid starting point too.

Will we get actionable recommendations?

Yes. Every engagement ends with documented findings and a prioritized set of next steps your team can act on. The goal is never just an assessment. It is a clear picture of what to do next and in what order.

Can you work with our internal technical leads?

Yes. Architecture and Implementation Guidance is most effective as a collaborative engagement with internal stakeholders. Advisory + Pairing is specifically structured for teams that want senior architectural guidance while keeping implementation ownership in-house.

Is this only relevant before a new ML program starts?

No. It is also useful for organizations that are mid-implementation and encountering architectural blockers, or that have an existing ML footprint they need to redesign for better governance, scalability, or Fabric alignment.

Build, Deploy, and Operate Machine Learning in Microsoft Fabric

We help organizations move machine learning from experimentation to reliable production by designing and implementing Fabric-native ML systems that align with enterprise data, security, and governance standards.

Whether you’re building your first production model or scaling an existing ML footprint, we work inside your Fabric environment to ensure models are owned, operated, and evolved confidently by your teams.

Start a conversation about your Fabric roadmap

Book a Call
Book a Call
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Lunar Point Systems designs and deploys production machine learning systems that operate natively within Microsoft Fabric environments.

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