AI Business and Process Development

  • 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

  • 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

  • View Recording: How to Combine Copilot Studio, Microsoft Agent Framework & Azure AI for Enterprise-Ready Agents

    How to Combine Copilot Studio, Microsoft Agent Framework & Azure AI for Enterprise-Ready Agents Most agent efforts stall because teams pick a tool before they pick a control model. In this webinar, we’ll build one “Missed Meeting” agent three ways—low-code (Copilot Studio), pro-code (Microsoft Agent Framework + Azure AI), and a hybrid approach—and compare them… Continue reading

  • View Recording: Collaboration & Productivity: Custom Apps Powered by M365

    Collaboration & Productivity: Custom Apps Powered by M365 Extend SharePoint, OneDrive and Teams beyond their role as modern cloud document repositories to become business application platforms allowing for modern automation and improved user experiences that are easy to build and use. In this webinar, Joe Steiner (Solutions Architect at Concurrency) explains how organizations can extend… Continue reading

  • View Recording: Data-Driven Insights: IQ

    Data-Driven Insights: IQ Data alone isn’t enough—insights drive decisions. In this session, Data-Driven Insights: IQ shows IT and business leaders how to turn raw data into actionable intelligence. You’ll learn how to identify the most valuable metrics, ensure your data is trusted and governed, and leverage analytics to make faster, smarter decisions across your organization.… Continue reading