How to Prioritize High-Impact Robotics Projects

8-Step Project Scoring System (Use this before saying “yes”) Too many project managers take on every project that lands on their desk. Then they wonder why they’re: Burned out Buried in chaos Missing deadlines Managing low-impact work Here’s a better way: Score it first. Before committing, run each opportunity through this 8-step Project Scoring System: 1. Strategic Alignment: Does this project directly support key business objectives? 2. Executive Sponsorship: Is there visible and committed support from leadership? 3. Resource Readiness: Do we have the right people and tools available? 4. Risk Profile: What’s the level of uncertainty or exposure? 5. Stakeholder Engagement: Are the right people involved—and actively participating? 6. ROI Potential: Will this deliver measurable value (not just “busy work”)? 7. Timeline Realism: Are the deadlines achievable—or pure fantasy? 8. Team Capacity: Can we do this well without sacrificing other priorities? Score each from 1 (low) to 5 (high). 30+ points: Go for it. High-value and feasible. 20–29 points: Proceed with caution. Get clarity. Below 20: Decline or defer. The cost may outweigh the benefit. I’ve used this system to prioritize high-impact work, build trust with leadership, and protect my team from burnout. It’s not about doing more. It’s about doing what matters most. Would you use a system like this before saying “yes”?

Prioritizing a quick win is tempting.  But do they really drive your product forward? Recently, I was faced with prioritizing two features: One was an empty state screen—a low-effort, easy win for engineers. The other was the initial step for a more robust, impactful feature. The improved empty state screen would wrap up nicely with other tickets planned for that sprint. The second feature, however, required more groundwork and higher effort. Though tempted by the quick win, I ultimately chose the latter. 𝗧𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗰𝗮𝗺𝗲 𝗱𝗼𝘄𝗻 𝘁𝗼 𝗶𝗺𝗽𝗮𝗰𝘁. The first option, while quick and easy, would have minimal influence on our goals. Releasing features for the sake of “shipping” can easily turn a team into a “feature factory.” The second option, though harder to build, aligned more closely with our success metrics. By prioritizing high-impact features early, we get closer to our goals faster than if we shipped a series of smaller, low-impact updates. A popular prioritization framework I use is 𝗥𝗜𝗖𝗘: • 𝗥𝗲𝗮𝗰𝗵: How many users will this feature impact? • 𝗜𝗺𝗽𝗮𝗰𝘁: How much will this feature drive us toward our success metrics? • 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲: What is the likelihood that this feature will yield the expected results? • 𝗘𝗳𝗳𝗼𝗿𝘁: Assessed by engineers, this reflects the complexity of building the feature. In my case, the empty state screen scored low in reach and impact, only affecting a small subset of users with minimal influence on key metrics. Meanwhile, the robust feature had high reach, high impact, and high confidence, making the extra effort worthwhile. Remember, product success isn’t about how many features you ship; it’s about the impact those features create.

I keep seeing companies automate processes just because they can. Not because it makes financial sense. Not because it solves a real problem. Just because the technology exists and someone in the room got excited about it. Six months later, they've burned budget on AI projects that don't move the needle on revenue, profitability, or efficiency. AI can automate almost anything. That doesn't mean every automation delivers ROI. The question you should be asking isn't "Can we automate this?" It's "Is the juice worth the squeeze?" I use a simple ROI vs Effort Grid to help companies figure this out. It breaks down into four quadrants: 1️⃣ Quick Wins (High ROI, Low Effort) These are your no-brainers. Start here. Accounts receivable optimization speeds up your cash cycle by 6-12%, and AP invoice matching cuts processing time by 40%. Low effort, high return, immediate impact. 2️⃣ Strategic Bets (High ROI, High Effort) Pricing and cost optimization can increase margins by 3-5%. RFP automation typically delivers 15-20 more wins per year. Yes, they require more upfront work and some organizational change, but the payoff is substantial enough to justify it. 3️⃣ Nice-to-Haves (Low ROI, Low Effort) Things like team onboarding and warranty management. They improve processes, certainly, but they won't transform your business. Tackle these after you've knocked out the high-impact opportunities. 4️⃣ Avoid Zone (Low ROI, High Effort) AI for internal FAQ's, meeting summaries into CRM. They sound cool in a pitch deck, but the return doesn't justify the investment and change management headache you'll create. Once you map out your options, you need a decision framework: ⇾ Assess Volume - Plot each use case on your ROI matrix to determine investment worth ⇾ Estimate Impact - Will automation actually impact cash flow, margins, or customer experience? ⇾ Score & Prioritize - What's the manual workload or data volume you're dealing with? I recently worked with a company that was excited about three AI projects. After walking through this framework, we realized only one was worth doing. The other two would have burned the budget without a meaningful return. The companies winning with AI aren't the ones automating everything. They're the ones automating the right things.

𝐔𝐬𝐞 𝐓𝐡𝐢𝐬 𝐅𝐨𝐫𝐦𝐮𝐥𝐚 𝐓𝐨 𝐃𝐞𝐜𝐢𝐝𝐞 𝐖𝐡𝐚𝐭 𝐓𝐨 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐅𝐢𝐫𝐬𝐭 🤖📊 Before you build anything, ask this 👇 Most firms jump into automation based on urgency, not strategy. But here’s a simple formula I use with clients to prioritize what actually moves the needle: [𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝘅 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝘅 𝗧𝗶𝗺𝗲 𝗦𝗽𝗲𝗻𝘁] ÷ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁 = 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗲 Let’s break it down: ✔️ 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 – How often does the task happen? (daily, weekly?) ✔️ 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 – Are there many steps or dependencies? ✔️ 𝗧𝗶𝗺𝗲 𝗦𝗽𝗲𝗻𝘁 – How long does it take a team member to complete manually? ➗ 💥 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁 – Is this task tied to revenue, risk, or compliance? 👉 The higher the score, the sooner it should be automated. We just helped a 6-figure accounting firm apply this formula to uncover 3 high-impact automations hiding in plain sight, saving over 12 hours per week. Stop guessing what to automate. Score it. Prioritize it. Scale it. 🔍 Have you tried a system like this to rank your automations? I’d love to hear how you decide what gets built first. #AutomationGuy #ScaleThroughAutomation #PrioritizeAutomation #AIinBusiness #ProcessImprovement #TimeManagementTools #BusinessProductivity #ScaleWithSystems #AccountingAutomation #AutomationStrategy #WorkflowDesign #DigitalOperations #ZapierExperts #SaaSTools #AutomationFramework Follow me for AI & Automation updates and resources: https://lnkd.in/gjG8gvRd

Watch this video if you’re mapping your AI strategy: Three weeks ago, a client with 250 employees in Australia asked us to map their AI opportunities. We interviewed their contact center team, ops, and service coordinators. Came back with 16 initiatives. Then we built them a prioritization matrix: business impact on the X-axis, effort to implement on the Y. Everyone gravitates to the bottom-right quadrant. The quick wins. Low effort, high impact. But the thing I think people miss is - Quick wins ONLY MATTER if they're part of a bigger story. Example: Their service coordination team handles hundreds of calls a day. Client needs a schedule change → rep looks up the account → calls the service provider → gets availability → updates CRM → calls client back. Repeat. All day. But IMO, in 2–3 years, that entire workflow gets handled by AI agents. Multi-agent system picks up the call, checks the CRM, coordinates with providers, makes the updates, closes the loop. THAT is the transformation they’re really looking for. That is the big swing on the matrix. But you can't deploy that tomorrow. So the quick win is: AI call summaries. Every call gets auto-summarized. Reps stop manually typing notes into the system after every interaction. Saves them 10–15 minutes per call. Immediate ROI. But MORE importantly: it's the foundation for the agent system you're building toward. You train your team on how AI integrates with their workflow. You build trust. You create the data infrastructure you'll need for automation. Quick wins are not just fast. They need to be the first move in a sequence. This is how we think about transformation at Morningside. Not "what's easiest," but "what sets up the next five moves." (Full breakdown of the matrix and how we prioritize in the video)

Stop treating a $5 coffee maker idea like a $500K line redesign. And yet... most CI programs do exactly that. Unlimited ideas. Limited resources. The result? Chaos. You have 47 ideas in your tracker. You have the budget for 5. How do you decide? Most leaders pick based on who's loudest. That's not prioritization. That's politics. Here's a better way. A simple matrix that brings clarity in 5 seconds. Every idea falls into one of four buckets: QUICK WINS (High Impact, Low Effort) → DO THESE FIRST. → Implement immediately. → Build momentum and prove your system works. Example: Moving a tool 10 feet closer. Costs nothing. Takes one day. HEAVY LIFTING (High Impact, High Effort) → PLAN SECOND. → These are your real Q2 projects. → Needs a proper plan, a dedicated team, and resources. Example: Redesigning a line layout for a $500k/year saving. EASY, BUT POINTLESS (Low Impact, Low Effort) → Send to the "PARKING LOT." → Let local teams decide. → Don't waste leadership time on minor changes. Example: Changing the break room furniture. LOW PRIORITY (Low Impact, High Effort) → DECLINE with respect. → Explain why not now. → The polite "no" that preserves trust and engagement. Example: A custom dashboard that takes 6 weeks to build but saves 15 minutes/month. The mistake is treating all four types the same. A Quick Win dies waiting in the same approval queue as a Heavy Lifting project and kills momentum. Stop treating all ideas equally. Start asking two questions for every idea: What's the impact? What's the effort? That's it. Two questions. Four buckets. So here's my question for you. How many "Quick Wins" are stuck in your tracker right now? Find one. Just one. Do it this week. Drop a comment: What's one Quick Win you could implement in the next 7 days? P.S. If you want a system that automatically helps you prioritize ideas instead of letting them pile up in one queue, send me a DM. We help companies build smart prioritization into their CI process so Quick Wins actually move quickly.

The silent killer of AI automation projects isn't technology — it's prioritization. Most businesses get this backward: They automate what's EASY rather than what's VALUABLE. I've analyzed 100+ automation projects across our clients, and the pattern is clear: • Companies that automate the easiest 80% of tasks first → Average 1.3x ROI • Companies that automate the highest-impact 20% first → Average 7.5x ROI The difference isn't in the technology. It's in what you choose to automate FIRST. This is why 65% of AI automation initiatives fail to deliver meaningful results. Before building any automation, ask these three questions: 1. Revenue Impact: Will this directly influence customer acquisition, conversion, or retention? 2. Time Recovery: Will this free up your highest-paid talent for more complex work? 3. Error Reduction: Will this eliminate costly mistakes or inconsistencies? If you can't answer "yes" to at least two of these questions, you're likely automating the wrong process. The most successful businesses build their automation roadmap backwards — starting with business outcomes, not technological capabilities. What's been your experience? Have you seen greater success focusing on high-impact processes first, or do you prefer tackling the easier wins?

Last month, I turned down 5 great projects All of them were promising And yet, I said a resounding "No" to all of them. Why? Currently, my full focus is on building a world-class operating system at notus, and thus, I must carefully prioritize my projects. If you constantly suffer from shiny object syndrome like I do, then you will understand that it’s too easy to start working on stuff with no impact. To avoid this, I started using this 3-step process to prioritize my projects. 1. Capture ideas and projects I start by creating a master list of all my current ideas and projects. When I log an idea into my project database, it includes: - Project name and description - Description of the current process (status quo) - Why this project is needed and what is the expected outcome 2. Prioritize with an Impact/Effort Matrix I evaluate each project using the Impact/Effort Matrix. Here's how it works: · Do It Quadrant (High Impact + Low Effort) I start these projects as soon as possible! They are quick hits and also contribute directly to my goals. · Plan It Quadrant (High Impact + High Effort) This is where I spend most of my time and energy. But I plan anything on this quadrant before executing. · Time Waster Quadrant (Low Impact + Low Effort) These are tasks that I deprioritize or delegate to someone else. Ideally to someone for whom they might be important. · Avoid Quadrant (Low Impact + High Effort) These are the pointless activities that distract me from my goals. Sometimes they are necessary but I try to limit my time on these as much as possible. 3. Prioritize 2-3 projects Finally, I choose 2-3 priorities based on the best impact/effort position But I don’t start working on them right away! I perform a ROI Assessment before (Return of Investment) How? This is a topic for another post! I am sure that there will be times when I won’t need this super-powerful framework to prioritize all of my work But, right now, my focus is to improve and simplify our core service, by building a world-class operating system. Therefore, projects that do not fall into this goal will receive a "No." Do you use a different prioritization system? Share it in the comments! #projectmanagement #prioritization #operations

The smartest companies I work with all prioritize AI the same way. They don't automate everything at once. They use a simple framework to decide what gets built first. We call it the Automation ROI Matrix. It maps every process across 2 dimensions: → Impact (how much time/money does this save?) → Effort (how hard is it to automate?) That gives you 4 quadrants: 1⃣ High Impact, Low Effort → Automate NOW. These are your quick wins. Data entry, client onboarding, internal notifications. Fast to build, massive time savings. Start here every single time. 2⃣ High Impact, High Effort → Plan & Build. Custom dashboards, AI agents, full operating systems. Big ROI but requires proper scoping and development. Worth the investment, but not where you start. 3⃣ Low Impact, Low Effort → Automate Later. Nice-to-haves. Calendar reminders, simple email templates. Easy to do but won't move the needle. Backlog these. 4⃣ Low Impact, High Effort → Skip It. This is the trap. Complex automations that sound impressive but barely save any time. Most wasted budgets live here. The best operators start in quadrant 1, build momentum, then graduate to quadrant 2. That's how you get AI to pay for itself. Save this matrix before your next AI project. Follow me Luke Pierce for more content like this.