Blog

  • Choosing a Data and Analytics Modernization Partner on Azure

    The most expensive data platform is the one that works and nobody uses. The pipelines run, the lakehouse is technically sound, the architecture diagram is clean, and six months later finance is still reconciling numbers in spreadsheets because nobody trusts the dashboards. The platform did not fail. The partner built the wrong things first, or… Continue reading

  • How to Choose an Enterprise AI Implementation Partner 

    Most organizations that are serious about AI can already name what they want: order entry that runs without retyping, a forecast that refreshes in minutes, an assistant that answers policy questions from documents HR already owns. The use case is rarely the hard part. The hard part is judging which partner will get it out… Continue reading

  • Becoming a Frontier Firm: Operationalizing Microsoft Copilot Across Your Workforce

    Microsoft Copilot Adoption: How to Become a Frontier Firm Most organizations already own Microsoft 365 Copilot. Far fewer have turned it into measurable value. Turning the tool on is the easy part. Changing how work actually happens across a workforce is the hard part, and it is where the real return lives. This guide lays out how… Continue reading

  • AI Governance Framework: Responsible AI & Model-Risk Management for Enterprises 

    An AI governance framework is the operating system for responsible AI adoption: the policies, controls, evals, and oversight that let an organization move fast without creating unacceptable risk to its data, customers, or reputation. As AI shifts from pilots into decisioning, automation, and agentic workflows, governance is no longer a back-office formality. It is the board-level discipline that determines whether AI can scale safely, defensibly, and with measurable business value.  The good news: governing AI responsibly is a… Continue reading

  • RAG Is the Enterprise AI Starting Point, Not the Finish Line 

    Enterprise AI does not fail because the model is not clever enough. It fails when the model is disconnected from trusted business knowledge, blind to permissions, and pushed into production before the organization has earned enough confidence to let it answer on behalf of the business. That is why retrieval-augmented generation, or RAG, is the… Continue reading

  • From Pilot to Production: How Enterprises Scale Generative AI

    Most enterprises have already proven that generative AI can do something impressive. The demo wowed the steering committee, the proof-of-concept summarized contracts or answered policy questions, and everyone left the room convinced. Then the project stalled. A year later, the pilot is still a pilot, while the next wave of enterprise AI is moving toward… Continue reading

  • A Practical Guide to Microsoft 365 Copilot Adoption: Turn Licenses into Measurable Business Impact

    Microsoft 365 Copilot can accelerate task completion by up to 40%—but licenses alone won’t deliver that value. Organizations that translate early excitement into measurable outcomes use a structured, business-first adoption plan. This guide presents a practical, phased approach to align leadership, enable teams, and move ideas into production. Why Copilot adoption stalls Many rollouts look… Continue reading

  • Impact Urgency Matrix Defined!

    As with any Incident Management process definition an important cornerstone that ultimately determines an incidents priority which drives the response and resolution time is an Impact-Urgency matrix.  While some of you may prefer to chat about the movie the Matrix.  Today we will focus on some examples of the impact urgency matrix and more specifically… Continue reading

  • Why a Model Diversity Approach Is the Responsible Enterprise AI Strategy

    The Wall Street Journal recently said out loud what the enterprise technology community has been reluctant to acknowledge: the companies competing to define generative AI for business are driven as much by personal feuds, leadership instability, and unresolved power struggles as by any serious commitment to enterprise-grade reliability. I’ve been through enough technology transitions to… Continue reading

  • Modern Data Architecture in Practice: Lessons from a Collaborative Fabric Rollout

    When a plastics manufacturing company committed to scaling its Microsoft Fabric pilot into a production-ready analytics platform, they stressed that it would require collaboration, clarity, and continuous alignment. Knowledge transfer and upskilling were extremely important to them – they knew Concurrency had the experts, but they wanted to also have that domain expertise to be… Continue reading