As the adoption of Generative AI grows inside the enterprise, automation is entering a new phase, one that blends decision-making, integration, and user interaction in real time. Enter Agent Flows from Microsoft Copilot Studio.
Tag: DigitalTransformation
Why Design is About to Change: GenAI and the Future of App Development
A number of threads are converging:
Coding assistants like GitHub Copilot, Codeium, Cursor, and Replit Ghostwriter are integrated directly into IDEs – or in some cases, are the IDEs.
Autonomous agents or agent environments that can generate and execute code, like Microsoft Magentic-One or Langflow .
Application generation environments like Replit takes this even further, generating full applications from natural language prompts and deploying them with just a few clicks.
Unlocking the Power of Generative AI: Why Your Organisation Needs a Maturity and Readiness Assessment
Generative AI (GenAI) is revolutionising industries by automating content creation, enhancing decision-making, and sparking innovation. But before jumping in, it’s essential to pause and do the groundwork. In today’s fast-moving, hype-driven tech landscape, that can feel a bit old-school, but understanding your organisation’s readiness isn’t just prudent, it’s foundational. A GenAI Maturity and Readiness Assessment is a crucial step to ensure that the excitement of innovation is backed by the stability of preparation.
Clear GenAI Requirements in an RFP: The Bedrock of Successful AI Implementation
Organisations will turn to external partners for GenAI implementations and the success of your GenAI project depends heavily on the clarity of your requirements.
A well-prepared RFP with comprehensive requirements isn’t just bureaucratic paperwork – it’s your blueprint for AI implementation success. Let’s dive into some insights on creating requirements that will attract the right vendors and set your GenAI project up for success.
Your GenAI, Your Data: How Local Models Put You Back in Control
When discussing GenAI one concern that consistently comes up is a worry around using public models and what happens to my data – there are genuine concerns about data privacy and security when using public AI models. Luckily there are solutions that address these concerns that have been around for quite a while – Ollama , and Open WebUI – tools that empower organisations to run AI models on their own infrastructure.
Are AI Agents The New API’s?
Before I get started on this one, it’s largely a thought exercise on where we could be taking Agents and the impact on the traditional API integration model.
The API landscape will shift. Just as APIs revolutionised how applications communicate, AI Agents are likely to emerge as the next solution for system integration. This transformation isn’t just about new technology – it’s about fundamentally changing how our software systems interact, learn, and evolve together.
Generative AI in Project Management: Unlocking Efficiency and Innovation Across the Project Lifecycle
In today’s fast-paced business environment, Project Managers are continually seeking innovative tools to enhance efficiency and deliver successful outcomes and the Project Management Institute (PMI) seems to be stepping up.
Re-imagining Business Processes with Generative AI: Business Analysts are in a Unique Position
Business Analysts (BA’s) are in an amazing spot right now (and in the foreseeable future). GenAI offers unprecedented opportunities to enhance efficiency, drive process improvements, and deliver greater value both within the BA’s own processes but also within the processes of the organisation.
The Rise of Shadow GenAI and the Risk of Technical Debt
I have written previously about technical debt and GenAI choices and when you add on Shadow GenAI the situation becomes even more complex. The accessibility of Generative AI (GenAI) tools means that everyone can innovate like never before. However, this surge in un-monitored GenAI usage, often referred to as “Shadow AI”, combined with GenAI only now starting to come down from the ‘Peak of Inflated Expectations’ can lead to significant challenges, including the accumulation of technical debt within organisations.
Generative AI and Enterprise Architecture: The GenAI Impact
In preparing last weeks article I came across a series of blog posts from Ardoq (thanks to Ed Granger) that deserves more attention (catch it here). There are quite a few posts (maybe too many) on how GenAI and Agentic AI can be used in organisations but not much on how we conceptualise and plan for this from a Enterprise Architecture (EA) perspective. Ardoq’s insightful blog series delves into GenAI’s impact on EA and more – it’s really worth a read.