I have pointed to the challenges of multi-sided agent marketplaces. There is a massive opportunity to establish custom platforms for commercial agent interaction. Agent Exchange (AEX) provides an interesting starting point. A generalized agent market is unlikely to emerge for some time (though the potential value is immense). Consider your industry and what the dynamics of a useful agent marketplace might be. Who will take that opportunity? Below are some of the key ideas and insights in the recent paper "Agent Exchange: Shaping the Future of AI Agent Economics". 🧠 Agents become economic actors—not just tools. LLM-based agents are evolving into autonomous economic participants that can make strategic decisions, form coalitions, and bid for tasks with minimal human input. This transition underpins the rise of an “agent-centric economy,” where decentralized coordination replaces top-down control. 💸 Enhanced Auction structure provides balanced performance across real-world conditions. The authors compared five allocation methods—greedy, random, cost-optimal, capability-first, and their proposed Enhanced Auction. The Enhanced Auction was selected because it consistently delivered the best trade-off between cost efficiency, adaptability, and robustness across varying task complexities and market liquidity. It uses a weighted scoring system that factors in capability match, expected quality, cost, and timing, outperforming the narrower focus of the alternatives. ⚖️ Shapley values ensure fair credit for multi-agent collaboration. To allocate rewards fairly, the system uses the Shapley value—a game theory method that calculates each agent’s marginal contribution by averaging their added value across all possible team combinations. This approach captures interdependencies and avoids over- or under-rewarding agents in collaborative tasks. 🛠️ Adaptive coordination models for different markets. AEX supports four auction-assignment configurations—from full auctions to direct assignments—mirroring real-world systems like consulting services or cloud computing. This adaptability ensures efficient resource allocation under varying market liquidity. 💼 Specialized agents outperform large models in niche tasks. Despite the power of foundation models, the paper argues they are economically inefficient for many tasks. Specialized agents deliver better cost-performance in routine, domain-specific contexts due to lower inference costs and more targeted capabilities. AEX’s simulation shows promising performance under controlled assumptions, including static capabilities and perfect information. This work is just a starting point, as any real-world platform would need to deal with dynamic agent behaviors, strategic manipulation, and the realities of deployment, participant onboarding etc.
Continuous Improvement In Project Management
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10 Common Resource Management Problems (and How to Fix Them) Resource management can make or break a project's success. Yet, most resource challenges don't come from technical gaps — they come from people problems. Here are 10 common resource management problems and how to fix them: 1/ Inconsistent Resource Assignment Randomly assigning resources without any criteria can delay critical projects. ✅ Set clear guidelines on how resources are assigned based on project priority, skills, and availability. 2/ Uneven Workload Distribution Some people are buried in tasks while others have too little to do. ✅ Use resource optimization reports to balance workload and ensure no one is overstretched. 3/ Skills Mismatch Assigning people without the right skills increases errors and delays. ✅ Plan resource requirements in advance and invest in training or hiring the right talent. 4/ No Resource Tracking Without tracking utilization, you can't tell who's working on what. ✅ Use time tracking tools or software to monitor resource allocation and make data-driven decisions. 5/ Lack of Resource Forecasting If you're not forecasting resource needs, you'll always fall short when projects ramp up. ✅ Use capacity planning reports to predict future resource needs and align hiring or training efforts. 6/ High Turnover Overworked and undervalued employees are the first to leave. ✅ Build a culture of empowerment and support by gathering feedback and tracking retention rates. 7/ Conflicting Priorities When team members are pulled in different directions, productivity drops. ✅ Set clear project priorities and use transparent reporting to avoid confusion. 8/ No Visibility for Managers Without centralized data, managers can't see what their teams are working on. ✅ Use resource management tools that give leaders visibility across the entire portfolio. 9/ Imbalanced Resources Across Projects Some projects get all the attention while others are starved of resources. ✅ Align resource allocation with business priorities and review regularly at the portfolio level. 10/ Ignoring Resource Risk People fall sick, take leaves, or leave unexpectedly — but many project plans don't account for it. ✅ Cross-skill teams and identify people-based risks early to build backup options into your plans. Resource management isn't just about assigning tasks — it's about understanding people. Which of these challenges do you face the most? ♻️ Save this list to improve your resource management process. Follow Anand Bhaskar for more insights on project management and leadership. —- 📌 Want to become the best LEADERSHIP version of yourself in the next 30 days? 🧑💻Book 1:1 Growth Strategy call with me: https://lnkd.in/gVjPzbcU #Leadership #Coaching #ExecutiveCoaching #ResourceManagement #Managers
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Let me walk you through the math that should make every CFO question their resource allocation. Using the latest 2025 industry benchmarks from SaaS Capital, here's the stark reality for a typical $200M ARR company: Revenue Responsibility: • Sales team: Manages $40M in new ARR (20% of total revenue) • CS team: Manages $160M in existing/expansion ARR (80% of total revenue) Budget Allocation Reality: • Sales: 13% of ARR ($26M) - up from 10.5% in previous years • Customer Success: 8% of ARR ($16M) - down from 8.5% in previous years Enablement Investment (based on industry benchmarks): • Sales enablement: ~$780K annually (3% of sales budget) • CS enablement: ~$160K annually (64% of CS teams spend <$200K on all programs, tools, and training combined) Investment per revenue dollar managed: • Sales: $780K ÷ $40M = $19.50 per $1M managed • CS: $160K ÷ $160M = $1.00 per $1M managed They're spending 19.5X more per revenue dollar on the team managing 20% versus the team managing 80%. In what other business context would this allocation be considered rational? Imagine if manufacturing allocated 19.5X more maintenance budget to machines producing 20% of output versus those producing 80%. Or if airlines invested 19.5X more in routes generating 20% of revenue versus those generating 80%. The CFO would be fired. Yet this exact irrational allocation persists in SaaS because of tradition, not logic. The Efficiency Data only makes this more baffling: • CS Efficiency: 1 CSM manages $2-5M in ARR • Sales Efficiency: 1 rep manages $600K-$1M in quota • CS is 2-5X more capital efficient, yet receives proportionally less investment The Revenue Economics defy conventional business wisdom: • According to BCG, "Over 25X more value is generated over a customer's lifetime than in the year when the customer is acquired" • TSIA data shows companies with dedicated CS teams achieve 17% base revenue growth vs. just 5% with a sales-only approach • Forrester Research found dedicated CS teams deliver 107% ROI within 3 years Remember the 120-day challenge from my earlier post? For this company, achieving a 1% churn reduction and 3% expansion increase would be worth millions, yet they're investing $1 per $1M in revenue for the team responsible for making that happen. The reality: McKinsey explicitly states that "slower-growing SaaS companies underinvest in customer success." This investment imbalance explains why many companies struggle to achieve the critical 3-5% improvements that transform business fundamentals. Next week, I'll explain why training is the most obvious investment decision in CS and why it's the most overlooked. What's the enablement investment ratio in your organization? Does it match your revenue responsibility ratio? Calculations based on industry benchmarks from SaaS Capital's 2025 Private SaaS Company Spending Benchmarks #CustomerSuccess #Enablement #Investment #ARR #ROI Previous Post: https://lnkd.in/g_bpYGzr Next Post: https://lnkd.in/g76FYFMf
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Myth: Team stability equals team performance. Reality: Team adaptability drives innovation. Just watched a project team rotate 40% of its members mid-sprint and deliver their best results yet. The secret? Strong knowledge documentation and rapid onboarding protocols. The ability to adapt to change is crucial. By embracing fluidity and empowering your teams to evolve, you can unlock new levels of innovation and performance. Key strategies to foster team adaptability: ➡️ Invest in knowledge management by creating a centralized repository for project documentation, best practices, and lessons learned. ➡️ Develop robust onboarding processes by ensuring new team members are quickly integrated and productive. ➡️ Foster a culture of continuous learning by encouraging knowledge sharing, cross-functional collaboration, and experimentation. ➡️ Empower your teams by giving your teams the autonomy and tools they need to adapt to changing circumstances. By prioritizing adaptability, you can build teams that are resilient, innovative, and future-ready.
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According to PMI, over 70% of projects fail due to choosing the wrong management approach—not because teams lack talent, but because the framework they follow doesn’t match the nature of the work. In today’s fast-moving world, organizations are no longer relying on a single project management style. They are blending methods like Agile, Waterfall, Lean, Six Sigma, PRINCE2, Scrum, Kanban, and Hybrid to match project complexity, team structure, and customer expectations. 📌 Agile dominates IT and software with iterative progress and rapid adjustments, making it ideal for evolving requirements. 📌 Waterfall remains one of the most trusted approaches in construction, government, and compliance-heavy industries because of its linear, predictable stages. 📌 Lean increases operational efficiency and value delivery—widely adopted in manufacturing and service industries. 📌 Six Sigma reduces defects with data-driven precision, helping large organizations eliminate inefficiencies at scale. 📌 PRINCE2 is preferred by European governments for its strong governance, documentation, and accountability structure. 📌 Scrum empowers tech teams through sprints, backlogs, and daily stand-ups, accelerating collaboration. 📌 Kanban ensures real-time visibility and flow, helping teams avoid bottlenecks and multitasking overload. 📌 Hybrid combines the best of multiple methods, allowing flexibility without losing structure—now trending across startups and enterprises. The future of project management is not about choosing one methodology—it’s about mastering the ability to switch, adapt, and combine based on context. Just as technology evolves, project leadership must evolve from method followers to strategic method designers. Teams that understand these frameworks don’t just execute tasks—they build scalable systems that save time, reduce cost, and increase impact across departments. 🔹 If your current methodology feels like a limitation, it’s a signal—not a failure. 🔹 If your team is constantly reworking deliverables or missing deadlines, it’s not a productivity issue—it’s a framework misalignment. 🔹 If you want to scale, methodology awareness is no longer optional. It’s a competitive advantage. Those who understand multiple project management styles don’t just manage projects—they engineer outcomes. #ProjectManagement #Leadership #Agile #Waterfall #Lean #Scrum #Kanban #SixSigma #HybridManagement #Productivity
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🔹 The Secret to Project Success Isn’t What You Think 🔹 After leading multiple projects , I’ve learned one key truth: projects don’t fail because of poor tools or methodologies , they fail because of misalignment. Here’s what I mean: ✅ Clear Vision: Every team member should understand not just what we’re doing, but why we’re doing it. ✅ Stakeholder Engagement: Regular, transparent communication with stakeholders is non-negotiable. Silence creates assumptions , and assumptions create risks. ✅ Adaptability: Even the best plans encounter unexpected obstacles. A great project manager isn’t the one who sticks rigidly to the Gantt chart, but the one who knows when to pivot while keeping the goal in focus. ✅ Empowered Teams: Micromanagement kills innovation. Trust your people, and give them the space to deliver. The most successful projects I’ve managed weren’t perfect , they were adaptive, collaborative, and grounded in a shared purpose. 💡 If you’re a project manager (or aspiring to be one), remember this: your greatest tool is not a software or a methodology. It’s your ability to align people, priorities, and purpose. #ProjectManagement #Leadership #PMO #Agile #Teamwork
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One-size-fits-all project management is a myth. Standardization may feel safe, but in reality, it stifles the delivery of value. The new PMBOK® Guide – Eighth Edition makes it clear: Context is key. Tailoring isn't just allowed; it is required to maximize value, manage constraints, and improve performance. Here is the 4-step framework to deliberately adapt your approach: 1️⃣ 𝐒𝐞𝐥𝐞𝐜𝐭 𝐈𝐧𝐢𝐭𝐢𝐚𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Predictive? Adaptive? Hybrid? Don't guess. Use criteria based on environment, team, complexity, goals, etc. to pick the right starting point. 2️⃣ 𝐓𝐚𝐢𝐥𝐨𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Modify your approach based on organizational governance and policies. This ensures you have the right oversight without unnecessary bureaucracy. 3️⃣ 𝐓𝐚𝐢𝐥𝐨𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: Adjust for the deliverable, team size, and culture. 4️⃣ 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐎𝐧𝐠𝐨𝐢𝐧𝐠 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭: Tailoring is not a one-time event. Use retrospectives and phase gates to inspect and adapt your process throughout the project life cycle. Bring this framework to your next project kickoff or retrospective. Challenge your team to identify one specific way you can tailor your approach to better fit your reality. #PMBOK #Tailoring #ProjectLeadership
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Project management isn't one-size-fits-all One approach/methodology rarely works 100% of the time. Anyone who's managed projects across different industries knows what I'm talking about. Here's why: → Construction - focused on tight regulatory requirements, strict safety protocols, and long-term planning. → Tech - Agile + adaptable processes are essential to respond to evolving client demands and quick pivots. → Marketing - managing creative resources, campaign timelines, + continuously shifting priorities. One project management approach won't fit all those needs. As a PM, your job is to adapt your approach to the unique needs of the industry/project/team. Not fit them into a pre-defined box. So if you're starting your PM journey, do: ✅ Learn a variety of PM frameworks Agile, waterfall, Lean. Each has strengths that can be leveraged to adapt. ✅ Document the unique requirements Each industry and project has different needs, collect them over time. Flexibility is more important than following a strict methodology. ✅ Tailor your communication style Each project is different, meaning it needs it's own comms plan. New stakeholders and team dynamics require custom approaches. The best PMs don't stick to one "right" way. They know when to adjust, innovate, and bend the rules. 🤙
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🔷 PROJECT MANAGER Project Management Institute The PMBOK 8 is here: a new chapter in Project Management 🚀 The 8th edition of the PMBOK (2025) marks a groundbreaking shift: a value-driven, adaptive, and iterative approach—leaving behind the rigid vision of previous versions. 🔑 Key differences from prior editions • From processes to value: moving from 49 processes (6th ed.) → principles (7th ed.) → now 40 processes, 6 principles, and 7 domains, all focused on value delivery. • Real integration with Agile & innovation: not only mentioning Scrum or the Agile Guide; it now acknowledges AI, automation, and emerging tools as official parts of practice. • Adaptive management: delivery is conceived in iterative cycles, with learning and continuous improvement at every stage. ✨ Advantages of the new approach 1. Flexibility to respond to business and market changes. 2. Stronger alignment with agile methodologies and dynamic environments. 3. Explicit inclusion of AI and automation as allies of the Project Manager. 4. Greater focus on continuous value creation beyond just “following processes.” 💬 Open question: Do you see this change as a necessary step toward agility and innovation, or as a challenge for those still working in traditional frameworks? 👇 I’d love to hear your thoughts: how do you think this will impact project management practice in the coming years? . #PMBOK8 #ProjectManagement #PMO #Agile #AI #DigitalTransformation #Innovation #Leadership #FutureOfWork #ContinuousImprovement #ValueDelivery
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| A Hidden Misalignment in Construction Consultancy — And How to Overcome It | Bridging the Gap Between Commercial Strategy and Project Delivery in Consultancy Services As I continue my journey building DIVAM and actively engaging in business development, proposals, and client delivery, I’ve observed a recurring hidden challenge across the Construction Consultancy services - one that, in my view, deserves more attention. A noticeable disconnect often exists between Contracts, Commercial & Procurement functions and Project Delivery teams, particularly during the transition from proposal stage to execution. During the bidding phase, Rates and Resource allocations are typically negotiated and finalized by Commercial teams. However, when it comes to Client-side interviews and approvals, the expectations around candidate experience, qualifications, and deliverables are often significantly elevated—sometimes beyond what was commercially considered under rates agreed. This misalignment creates practical challenges: 1. Difficulty in sourcing suitable candidates within agreed commercial constraints 2. Delays in mobilization and onboarding 3. Increased pressure on delivery teams to balance quality expectations with limited budgets Another observation relates to fractional resource allocation coming due to % allocation, for example, 1.25 days (25%) or 2.5 days (50%) per week (assuming 5 days / week) or 1.5 days (25%) or 2.5 days (40%) per week (assuming 6 days / week). In practice, such allocations tend to be inefficient, as partial days are rarely productive or optimally utilized in a project environment. Key Question: If rates and resource deployment are commercially agreed upfront, should not the expectations on qualifications, experience, and deliverables be calibrated accordingly? From my experience, a more integrated approach could add value: 1. Align scope, deliverables, and reporting requirements with the level of resource allocation (e.g., 20%, 50%, 100%) 2. Clearly define expectations and competency levels during the proposal stage itself 3. Adopt & Align deployment % based on full-day deployment structures (1, 2, or 3 full days per week) instead of fractional allocations to improve productivity and accountability This is not about assigning responsibility, but about improving alignment across functions to ensure sustainable delivery and realistic expectations. Sharing this as a general observation based on experience in the market—keen to hear how others are addressing similar challenges. #UAEConstruction #ProjectManagement #CostConsulting #CommercialManagement #Procurement #Consultancy #Leadership #ConstructionInsights
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