Last month I had the privilege of presenting at Enable’s Supply Chain Leadership Forum on how AI is transforming pricing and rebate management. The conversation in the room confirmed what we’re seeing across clients at Propel with a shift from manual reaction to confident, AI-driven decision-making.
Below are some key highlights and quotes from the session, along with a link to the full recording.
“AI isn’t a calculator anymore. It’s becoming a colleague that can reason, prioritise, and act.”
I demonstrated GenSpark Super Agent analysing semiconductor supply-chain risk in real time. It selected its own data sources, built a visualisation, and even drafted an email to a CPO summarising the results.
This is Agentic AI in action. These systems that understand your intent, make trade-offs, and surface insights you hadn’t thought to ask for.
“The biggest reason AI projects fail? Trying to do everything at once.”
We’ve all seen it: sprawling AI initiatives that start strong and end in confusion. The organisations that win start small and strategic. They pick one workflow (pricing, contract analysis, or rebate optimisation) and master it.
That single win builds confidence, capability, and internal momentum.
“The next competitive edge isn’t who has the most data - it’s who has the most AI fluency.”
Imagine a flatter organisation where AI agents handle the repetitive grind - market-monitoring, margin calculations, and supplier analytics - while humans focus on strategy, relationships, and creativity.
We’re already seeing this play out. One client now runs AI agents 24/7 to track markets, giving their analysts richer insights each morning.
The number of people hasn’t changed, but the quality of thinking has skyrocketed.
“You don’t need 20 Harvard data scientists to start — just 90 days of focus.”
Start simple. Build, learn, repeat:
Day 30: One working AI assistant solving a real problem
Day 60: Share it with your team and refine it
Day 90: Scale or start the next use case
And from an organisational perspective, Propel's 90 day value flywheel:
AI isn’t here to replace expertise - it’s here to amplify it.
The leaders who get hands-on now will shape how AI works in their organisations. Those who wait will be reacting to others who moved faster.
“If you could hand one task to an AI teammate tomorrow, what would it be?”