#iterative-procurement

#iterative-procurement

I got a degree from Douglas College in programming and business management. I understood the business side more and was better at that than at being a coder.

Most for-profit companies still confine nonprofit relationships to corporate philanthropy. Donations flow through foundations, annual reports highlight community contributions, and nonprofit engagement is framed as evidence of corporate responsibility.

Operational Excellence practices alone don't guarantee success; implementation quality, organizational culture, leadership commitment, and strategic alignment determine competitive outcomes. Banks implementing identical operational improvement methodologies like Lean and Six Sigma achieve vastly different results due to factors beyond the practices themselves. Success depends on how thoroughly organizations embed these approaches into their culture, the quality of implementation execution, leadership commitment to continuous improvement, and alignment with overall business strategy.

Understanding the difference in purpose Unlike private businesses, which exist to make a profit, public institutions are designed to create impact - especially social and economic outcomes that benefit everyone, not just paying customers. A public agency doesn't measure its success in revenue or margins, but in how much it improves lives, builds equity and maintains public trust. This doesn't mean budgets and spending don't matter - they absolutely do - but money is not the goal. It's the tool.

If you're a manufacturer with a $10M+ business and your website is "just there," you are losing money to competitors who treat their site like a 24/7 sales rep. If the phone isn't ringing and the inbox is empty of RFQs, it's usually because of these five specific friction points.

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An AI agent is simply a model that receives input, follows defined goals and rules, makes step-by-step decisions, and uses tools to take actions. Instead of viewing AI agents as autonomous digital workers, break it down. First principles thinking says this definition captures the essence of how AI agents function and operate within business workflows.

Kemi Badenoch's recent ridiculing of the prime minister over a supposed U-turn on digital ID plans (Keir Starmer denies change to digital ID plan is yet another U-turn, 14 January) is the latest example of a frustratingly narrow view of leadership. To the Conservative leader, adapting a policy is a sign of no sense of direction; to those of us who work in product management, it looks like necessary iteration of the process.

Digital procurement has transformed how businesses find, evaluate and manage suppliers. Platforms are faster, data is cleaner, and decision making is more informed than ever before. Yet for all the efficiency digital tools bring, procurement still relies heavily on one timeless ingredient: human connection. Bridging the gap between digital procurement and real world supplier engagement is where the strongest partnerships are built.

With the Supreme Court potentially poised to invalidate recent tariffs, organizations face a confusing scenario. Having clear visibility into contract terms - such as price adjustments and renegotiation provisions - is essential to navigating this volatility. Come join us on at 1 p.m. ET on Jan. 27 for this CLE-approved webinar, where we'll discuss the current state of the tariff conundrum and explore strategies for achieving contract visibility with the latest AI innovations.

Well, our guest today argues that the best way is by moving to a more project-driven model of work, up and down the organization from the corporate level to individual teams. He wants us to both ruthlessly prioritize as well as stay fluid so that we're identifying strategic goals, assembling teams to go after them, evaluating as we go, and then either continuing, shifting, or disbanding based on our outcomes.

Your AI pilot showed 94% accuracy improvements. The LLM is yielding solid results. You're getting defunded anyway. The reason? You solved a problem AI can solve. Your budget-holder needed you to solve theirs. Companies launch AI pilots that produce results, then stall at scale. The team's diagnosis: "They don't get it." What's really going on: These projects never earned budget-holder buy-in.

"I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue."

Efficient business practices boost bottom lines, and finding the right balance begins with using the right productivity software tools. For entrepreneurs and small-business owners, time spent searching or navigating different tools could be better spent growing your company. Having the right productivity software in place isn't just convenient, it's essential for operational efficiency. The challenge many entrepreneurs face is balancing software costs with functionality.

We are now in a time of manufacturing where precision is more than a technical necessity; it's a business requirement. The more complex, globally dispersed and demanding things get, the less slack remains in the system. Under these circumstances tolerance management has become a decisive competence and affects competitiveness not only in terms of controlling costs, ensuring quality and improving production efficiency but also for long term market success.