Responding to RFPs used to feel like running a marathon (it’s just as painful as being on the RFP assessment team) – days of effort, multiple people, and thousands in costs. Recently, I asked myself: Could AI make this easier? What started as an experiment (we are always experimenting with the edge of this technology) with Microsoft’s Agent Framework on a local setup evolved into a multi-agent orchestration system that drafts RFP responses in under 15 minutes.
Tag: #Innovation
2025 Was Supposed to Be the Year of Agents – Is 2026 the Turning Point?
Back in 2024 (it seems so long ago now) I wrote about Agents (links below) and cautioned about how early we were in their evolution. Now, almost a year later we seem to be in a completely different place – brought back to my mind to revisit by the recent announcements from:
– Langflow – releasing v1.6
– Microsoft – consolidating AutoGen and Semantic Kernel into the Microsoft Agent Framework
– OpenAI – releasing AgentKit
AI Velocity Gaps: Tech, Law, and Business Divergence
Three critical components of the AI ecosystem are accelerating in different directions with no gravity to bind them. Technology development races ahead exponentially, legislation struggles to keep pace, and business adoption moves cautiously behind them, creating an unstable system that threatens our competitive positions.
Make GenAI Stick: Why Your Organization Needs a Community of Practice
Your team just ran a successful GenAI pilot – but how do you keep the momentum going? Too often, early wins fade without a way to spread knowledge and enthusiasm. A Community of Practice (CoP) is one of the best ways to make GenAI adoption take root and grow.
Unlock Your Legacy Code: The GenAI Shortcut for BAs & Devs
It happened to me a quite a few years ago when I resurrected some of my C code from the 90’s and brought it up to date and if you’re a Business Analyst or Developer, you’ve been there as well: trying to decipher a legacy system with outdated documentation and only a handful of power users to guide you. Traditionally, we’ve relied on user interviews and painstaking manual testing to map out functionality. Using LLM’s, combined with the more traditional methods can give us extra insight.
Momentum Over Magnitude – Rolling Out GenAI the Lean Way
When it comes to Generative AI, many organisations feel overwhelmed, that they need a massive, enterprise-wide initiative to get started, but you don’t. Whether you’re a small-to-medium enterprise (SME) or a single department within a larger organisation, you can begin your GenAI journey with a few focused steps. No massive enterprise-wide rollout project is required – just smart, strategic, thoughtful action in a quick-start approach.
Stay Focused: You’re Solving a Business Problem, Not Chasing the Next AI Trend
Being immersed in the world of AI can feel like being caught in a whirlwind, every week brings a new model, a fresh feature, or a must-try tool and the pace is not slowing down – it’s easy to get swept up in it all. That’s why I always value conversations with businesses that bring things back to what really matters, solving real problems. GenAI isn’t just the latest shiny object, it’s a powerful tool to unlock capacity and drive real value, when focused on a business problem.
Canada’s AI Legislative Landscape: Navigating the Future.
As artificial intelligence continues to reshape industries globally, Canada finds itself at a critical point in AI regulation. With the recent appointment of Evan Solomon as Canada’s first-ever Minister of Artificial Intelligence and Digital Innovation, we are seem to be charting a new course that prioritises economic growth while maintaining responsible oversight. Where does this leave organisations that are eager for clarity and direction in an increasingly complex global and asymmetrical regulatory environment?
GenAI’s Hidden Risk: Doing the Same Work Faster and Falling Behind – Move from the To-Do list to the Should-do list.
I’ve seen it in so many organisations, that growing pile of Should-Do projects gathering dust while teams scramble through endless To-Do lists under the pressure of everyday work. The story is always the same: “We’d love to explore that new product”, “We should really improve our staff on-boarding”, “We could really improve our end-user experience if only we …..”. The constraint? Never enough time, budget, or human intellectual capital.
Generative AI is about to hand you back some of that capacity (and capability) – what you do with it will determine whether you’re leading your market in the future or wondering what happened to your competitive edge.
Why Deep Research AI Models Are the New Power Tool for Business Professionals
I wrote about Deep research models back in February and since then I have been actively integrating them into my business processes (both ChatGPT and Gemini version) and I thought the subject was worth revisiting in more depth. For me they have made a huge difference in everything from developing strategic plans to pre-meeting research.