Tips for Choosing the Right Automation Partner

“The Right Fit > The Latest Model.” High-tech doesn’t always mean high-impact. Tailor the solution to the process. In manufacturing, automation is never about blindly adding robots or advanced systems. It’s about addressing pain points and improving measurable metrics like Productivity, Quality, Volume, and Cost (PQVC). Stop Selling Products. Start Offering Solutions. The same applies when pitching to the industry: ✔️ Don’t push what’s available in our catalog. ✔️ Don’t sell machines for the sake of selling. Instead, sell solutions that address our client’s specific challenges: Do they need high speed or precision? Should they invest in the latest technology, or will a simpler system suffice? Is aesthetics a key factor, or is cost efficiency more critical? Understand first. Recommend second. The right solution doesn’t always have to be the most expensive or the most advanced—it needs to be the most appropriate for their process. 💡 This approach builds trust, ensures results, and sets you apart as a partner, not just a seller. #SolutionDriven #ManufacturingExcellence #AutomationInsights #ValueOverFeatures

No more “transformation” programs. No more AI PoC Hell. No more hype. No more vendor theatre. Companies have had enough - and they’re wising up. The C-suite is done entertaining AI pitches with no operational reality. Mid-sized firms - especially in legal, finance, and healthcare - have taken a breath. Now they want AI that delivers: ROI, reliability, security, and stability. They know their infrastructure is legacy. They’re not naïve. They want quick, low-risk, high-value wins today, and pragmatic progress on core systems tomorrow. “Businesses that adapt and find partners to accelerate their AI journeys will succeed.” - Vin Vashishta Vin’s right. But that raises the real question: How do you sort the wheat from the chaff? Here’s what to look for: 𝐘𝐨𝐮𝐫 𝐈𝐝𝐞𝐚𝐥 𝐀𝐈 𝐏𝐚𝐫𝐭𝐧𝐞𝐫: 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬. Not just sandbox demos. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐞𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬. Not vague claims or “stealth mode” hype. 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐛𝐲 𝐝𝐞𝐬𝐢𝐠𝐧. Not bolt-ons. 𝐎𝐮𝐭𝐜𝐨𝐦𝐞 𝐟𝐥𝐮𝐞𝐧𝐜𝐲. They tie AI to metrics your CFO actually cares about. 𝐏𝐥𝐮𝐦𝐛𝐞𝐫 + 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭. They understand infrastructure and impact. 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭-𝐚𝐰𝐚𝐫𝐞. They build with what you have - not what they wish you had. 𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐀𝐈 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐨: - Start with what’s real - who’s already using AI, and how. - Map friction + opportunity, not just capability. - Deliver quick, safe wins that create momentum. - Respect governance, privacy, security, compliance, auditability, and risk. These are non-negotiable. - Make trust the real deliverable - not just “functionality.” - Train executives to lead with clarity - not just nod through vendor decks. - Treat employees as co-creators - not rollout targets. - Challenge broken workflows - don’t automate dysfunction. - Diagnose before prescribing - every time. - Earn the right to reshape work - not demand it on Day One. If that’s the kind of AI journey you’re trying to build - let’s talk. Let’s make AI something your business can trust, scale, and actually deliver ROI with.

Most AI vendor decisions fail before the contract is even signed. Not because the tech isn't good enough... but because choosing the right AI partner is more complex than most people expect. And now every leader is trying to answer the same question: “How do we choose the right AI partner without wasting time, money, or trust?” Here’s what I’ve learned 👇 A credible vendor accelerates your transformation. The wrong one slows everything down. That’s why I created this simple one-page guide to help teams evaluate AI vendors with clarity, confidence, and practical criteria. It’s built from best practices used across top consulting firms, but adapted to be: ✔️ Practical ✔️ Non-technical ✔️ Usable by any team making AI decisions 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: • Key evaluation criteria • A practical scorecard framework • Red flags that help you avoid costly mistakes 𝟯 𝘁𝗵𝗶𝗻𝗴𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗺𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗿𝗲𝗮𝗹𝗶𝘇𝗲: 1. Start with trust, not features. ↳A shiny demo means nothing without credibility and a track record. 2. If a vendor can’t explain how their AI works… that's a red flag. ↳Transparency isn’t optional anymore. 3. Even the best tools fail inside the wrong workflow. ↳ Fit > features. Every time. 🔖Save this for your next vendor conversation ♻️ Share if your network is navigating this too _______ ➕ Follow Ana Petras for practical, human-centered AI guidance #AIEvaluation #FutureOfWork #ResponsibleAI #DiverseAISolutions

Stop asking "What's the best automation tool?" Here's the framework we use to select the right tool for each project: After evaluating dozens of automation tools across different projects, I've learned that the "best" tool is the one that fits 𝗬𝗢𝗨𝗥 context. Here's how to find it: Start with these 5 key questions: 1. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺'𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲? Don't choose Selenium if your team is mainly manual testers - you'll face a steep learning curve. Instead, consider low-code tools like TestComplete or Cypress for easier adoption. 2. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸? Your tech stack narrows down your options: - React app? Consider Cypress.io or Playwright - Legacy system? UFT or TestComplete might be better - Mobile focus? Look at Appium or Espresso - API-heavy? Rest Assured or Bruno 3. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗯𝘂𝗱𝗴𝗲𝘁 𝗿𝗲𝗮𝗹𝗶𝘁𝘆? Remember to calculate: - License costs per user - Training requirements - Maintenance overhead - Infrastructure needs 4. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝘁𝗶𝗺𝗲-𝘁𝗼-𝘃𝗮𝗹𝘂𝗲 𝘁𝗮𝗿𝗴𝗲𝘁? - Need quick wins? Choose tools with good record/playback - Building long-term? Invest in framework-based solutions - Balancing both? Look for tools that support both approaches 5. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁? - CI/CD integration capabilities - Cross-browser testing needs - Cloud vs on-premise requirements - Parallel execution support Common pitfalls to avoid: - Choosing based on popularity alone - Ignoring maintenance costs - Underestimating learning curve - Missing scalability requirements Remember: A successful automation tool implementation is 20% about the tool and 80% about how well it 𝗳𝗶𝘁𝘀 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀. What criteria helped you choose your current automation tools? #testautomation #TesterLife #qualityassurance #Tools

RFP. Three letters that keep me up at night 😰 but a friend for support leaders evaluating a crowded landscape of AI automation tools. Here’s the advice we’ve given to countless support teams building RFPs for 2025: 1️⃣ Understand your category. Different industries have different needs. For example, e-commerce companies with highly standardized workflows might thrive with off-the-shelf solutions. There should be an integration with Shopify, Loop, or other key systems in your fulfillment stack. On the other hand, B2B companies with more complex workflows have been deploying AI to simplify writing, leaving more space and time for hard debugging or investigation. 2️⃣ The right KPIs. Plenty of AI tools promise quick wins, like X% deflection (where X is very high). This is easy to game, and it’s easy to get hoodwinked by lowest common denominator automation. The most sophisticated teams look at resolution rate, rather than deflection, broken out by issue types. Knowledge-only articles are measured one way. Tier 1 issues requiring a single action are measured another way. Tier 2+ issues may be a nice-to-have for the first wave. 3️⃣ Knowledge-base integrations. This reminds me of how WFM buyers need to make sure their ticketing and telephony systems are well integrated. In the same way, AI buyers should make sure there are robust integrations to Confluence, Guru, Notion, Google Docs, etc. 4️⃣ Deployment and service. AI tools require tuning. It’s not the same as it was with ML or workflow-based chatbots. It’s a little bit like “prompt engineering” if you’ve heard the term, like how you need to work at it to get ChatGPT to respond exactly the way you’re looking for. Analyzing the best candidate issues for automation, ingesting your knowledge base, understanding workflows, measuring the quality of responses. Bank a realistic amount of time to accomplish this. And ensure a company has the resources and know-how to partner for the long term. 5️⃣ What’s next? Great, 30% automation. How do you realize the savings to the business? What parts of the operation need to change: lines of business, site hours, training plans, and so on? Great AI tools need great reporting ✅ And decision-makers need to connect the dots between their AI strategy and their overall support operations strategy. We’re past the hype of the initial AI wave. Now comes the fun part—solving real, challenging problems!

Want to avoid the next “we should’ve seen this coming” disaster? Start by doing proper due diligence on your service providers. Choosing the wrong partner isn’t a small mistake it can cost you money, data, reputation, and sleep. But most of it is avoidable if you do the checks before you sign anything. Make sure they’ve got: • Real expertise • Financial stability • Ethical standards you’d actually trust Check their track record, client reviews, accreditations, and compliance. It’s the simplest way to dodge fraud, poor delivery, and messy data breaches. Then go deeper: Can they deliver consistently? Are their operations solid? Do the contracts and SLAs actually protect you when things go sideways? And don’t ignore cultural fit. Especially if your values clash, the partnership won’t last. Bottom line: due diligence isn’t paperwork. It’s protection. It’s clarity. It’s how you avoid expensive mistakes and choose partners who genuinely strengthen your business.

Part 3 (thoughts) - In a recent discussion with some business colleagues about automation solutions. Designing for scalability and modularity: In many plants, automation installed only a few years ago has already been outpaced by product changes, volume swings, or new regulatory and quality demands. To avoid repeating that pattern, manufacturers should push potential suppliers to show how their systems will scale and adapt over time rather than lock into a single static configuration. Questions about modularity are central to this evaluation. Manufacturers should determine whether individual stations or functions can be unbolted, reconfigured, or replaced without major rewiring and revalidation of the entire line, and whether the control architecture supports recipe-based operation so that non-programmers can add SKUs, change pack patterns, or adjust process parameters without rewriting core logic. For larger enterprises with multiple sites, it is helpful to ask how a design could be replicated, resized, and supported across plants while still relying on consistent core technologies and standards. Connectivity and interoperability are equally important: systems should be able to communicate with existing ERP or MES platforms using open industrial protocols instead of brittle, proprietary middleware that complicates future changes. Manufacturers should also clarify whether their internal teams will be allowed and trained to make minor logic or HMI adjustments, rather than being forced into service contracts for every small change, which slows response times and inflates life-cycle cost. Partners work to design automation cells that integrate robotics, equipment, vision, and material handling into connected, modular architectures, allowing customers to add capacity, new product variants, or additional data requirements without starting over. This kind of foresight is essential in markets where mass customization and rapid product cycles are becoming the norm.

Last month a startup founder called me in a panic. Their product launch was 6 months overdue. The budget was hemorrhaging. Their "rock star" dev team? Unreliable and churning out buggy, unusable code. This isn't a one-off horror story. - 23% of startups fail due to mismatched external teams (CB Insights) - The right partner speeds up launches by 50% (Forrester) - Aligned partners boost talent retention by 60% (Deloitte) Your dev partner isn't just another vendor. They're the backbone of your product, the engine of your vision. Choose wrong, and you're lost in space. Choose right, and you've got a rocket strapped to your back. Here are the 5 non-negotiables I used to turn that startup around with the ideal development group: 1. Startup Battle Scars They've been in the trenches. They know the drill. Key question: "What's the toughest startup challenge you've overcome?" 2. Adaptability in Action They pivot faster than a startup's business model. Key question: "How do you handle sudden scope changes?" 3. Tech Smarts with Business Sense They don't just code. They solve problems and create value. Key question: "How has your tech directly impacted a client's bottom line?" 4. Radical Transparency No sugar-coating. No surprises. Just honest, straight talk. Key question: "Show me how you communicate when a project goes sideways." 5. Resource Optimization Mastery They stretch dollars without snapping quality. Maximizing impact within constraints. Key question: "Describe a time you delivered big results on a tight budget." Selecting a dev partner is a defining moment for your startup. It's not just about code—it's about shared vision, cultural fit, and mutual growth. The right partner doesn't just build your product. They help build the future of your entire business. Tech leaders: What's your deal-breaker criterion for a dev partner? Share below.

Judge your AI lead-gen tool by closed deals, not demo decks. Been thinking about the kind of foundation SalesMonk really needs. My experience tells me choosing a lead-generation partner is less about the product they demo and more about the operating principles they live by. First, see whether they anchor all outcomes to pipeline dollars you can actually close. Anyone can celebrate email opens; only a revenue-minded team will track the path from first touch to signed proposal and make that journey their north star. Next, study how they search for signals. Ask how they experiment. Markets change faster than playbooks; the partner should be comfortable running multiple channels in parallel, measuring fast, and shelving what underperforms before it drains your domain health.  Pricing reveals just as much: a firm that links its fee to a qualified pipeline shares your risk and forces accountability on both sides. We are the first growth platform to have such a pricing. Curiosity is the final tell. A genuine expert spends more time learning your buyer’s world than pitching slides. By the end of the first call they should be able to summarise your ICP’s daily headaches in plain words. That depth of understanding keeps messaging humans even as AI handles scale. These criteria are shaping SalesMonk. Focusing on revenue impact, intent-driven research, rapid experimentation, outcome aligned commercials, and relentless curiosity. If a prospective partner cannot speak fluently on each of these fronts, you may be measuring the wrong things.

Your implementation isn’t failing. Your partner selection is. Here’s the exact fix: (Save this. You’ll need it later.) Step 1: Choose a Partner Aligned with Your Goals The right partner knows your business, industry, and objectives. Look for: 1. Relevant project experience 2. Custom solutions for your needs 3. Commitment to ROI 4. Proven adaptability Alignment drives transformation, not just project completion. Step 2: Look for Direct Access to Expertise You need access to top consultants and certified experts. Look for: 1. Quick, actionable insights 2. Available, knowledgeable support 3. Strong relationships with your team 4. Real-time guidance Direct expertise speeds up problem-solving and builds value. Step 3: Prioritize Communication and Transparency The right partner keeps you informed at every stage. Look for: 1. Regular milestone updates 2. Proactive risk management 3. Clear communication channels 4. Collaborative feedback Transparency keeps everyone aligned. Step 4: Select a Partner Focused on Long-Term Success The best partners support you beyond go-live. Look for: 1. Team training and empowerment 2. Flexible future support 3. Industry knowledge 4. Alignment with growth goals Long-term partners are invested in your continued success. The formula is simple: Choose alignment with your goals. Expect direct access to expertise. Prioritize clear communication. Focus on long-term success. Choosing the right partner isn’t just a decision It’s the foundation of your implementation’s success. Tell me, what's the best way you've found to select an implementation partner? PS Follow Caf2Code LLC for more insights and tips from our team. #MicrosoftPartner #Dynamics365 #Caf2Code #PartnerSelection #ERP #CRM #Implementations