AI Strategy & Roadmapping with Microsoft
OnPoint BI helps organizations unlock the full potential of Microsoft’s Modern Data + AI stack—driving transformation through intentional strategy, scalable architecture, and business-aligned AI adoption.
1. Define Business Objectives
We lead AI visioning workshops to align stakeholders and map out use cases tied to KPIs. Leveraging Microsoft Cloud for Industry, we connect AI goals to strategic business drivers.
2. Assess Readiness
Using Microsoft Purview and Azure Maturity Models, we evaluate data infrastructure, analytics capabilities, and organizational readiness to support AI scale-up.
3. Prioritize Use Cases
We score and rank AI use cases using Value vs. Feasibility matrices, surfacing quick wins and strategic differentiators. Azure OpenAI, Power BI Copilot, and Dynamics Copilot help accelerate delivery.
4. Build the Foundation
We architect a secure, scalable data environment with Microsoft Fabric, Synapse, Data Lake, and Purview—delivering governed, enterprise-wide insights.
5. Pilot AI MVPs
We deliver low-code MVPs with measurable value—such as GPT copilots, document intelligence, and forecasting—using Power Platform and Azure ML.
6. Enable & Upskill
We equip your team with Microsoft Learn, GitHub Copilot, and tailored training paths to operationalize AI and build an internal AI center of excellence.
7. Operationalize & Scale
We deploy production pipelines using Azure MLOps, Monitor, and DevOps integrations—ensuring continuous improvement and impact tracking.
8. Responsible AI & Governance
With Microsoft’s Responsible AI dashboard, InterpretML, and Purview policy controls, we help organizations build trust and comply with industry standards.
Sample 6-Month Roadmap
- Weeks 1–3: Discovery workshops, vision alignment
- Weeks 4–6: Data & org readiness assessments
- Weeks 7–9: Use case scoring & architecture planning
- Weeks 10–16: MVP delivery using Microsoft AI
- Month 5–6: Scale-out, user training, governance rollout
Why OnPoint BI?
- Deep Microsoft ecosystem expertise
- Industry-specific accelerators (Healthcare, Retail, Life Sciences)
- Proven approach to AI governance & enablement
- From strategy to MVP to enterprise-scale AI