Strategies for Building a Tech-Savvy Consulting Team

Throwing AI tools at your team without a plan is like giving them a Ferrari without driving lessons. AI only drives impact if your workforce knows how to use it effectively. After: 1-defining objectives 2-assessing readiness 3-piloting use cases with a tiger team Step 4 is about empowering the broader team to leverage AI confidently. Boston Consulting Group (BCG) research and Gilbert’s Behavior Engineering Model show that high-impact AI adoption is 80% about people, 20% about tech. Here’s how to make that happen: 1️⃣ Environmental Supports: Build the Framework for Success -Clear Guidance: Define AI’s role in specific tasks. If a tool like Momentum.io automates data entry, outline how it frees up time for strategic activities. -Accessible Tools: Ensure AI tools are easy to use and well-integrated. For tools like ChatGPT create a prompt library so employees don’t have to start from scratch. -Recognition: Acknowledge team members who make measurable improvements with AI, like reducing response times or boosting engagement. Recognition fuels adoption. 2️⃣ Empower with Tiger Team Champions -Use Tiger/Pilot Team Champions: Leverage your pilot team members as champions who share workflows and real-world results. Their successes give others confidence and practical insights. -Role-Specific Training: Focus on high-impact skills for each role. Sales might use prompts for lead scoring, while support teams focus on customer inquiries. Keep it relevant and simple. -Match Tools to Skill Levels: For non-technical roles, choose tools with low-code interfaces or embedded automation. Keep adoption smooth by aligning with current abilities. 3️⃣ Continuous Feedback and Real-Time Learning -Pilot Insights: Apply findings from the pilot phase to refine processes and address any gaps. Updates based on tiger team feedback benefit the entire workforce. -Knowledge Hub: Create an evolving resource library with top prompts, troubleshooting guides, and FAQs. Let it grow as employees share tips and adjustments. -Peer Learning: Champions from the tiger team can host peer-led sessions to show AI’s real impact, making it more approachable. 4️⃣ Just in Time Enablement -On-Demand Help Channels: Offer immediate support options, like a Slack channel or help desk, to address issues as they arise. -Use AI to enable AI: Create customGPT that are task or job specific to lighten workload or learning brain load. Leverage NotebookLLM. -Troubleshooting Guide: Provide a quick-reference guide for common AI issues, empowering employees to solve small challenges independently. AI’s true power lies in your team’s ability to use it well. Step 4 is about support, practical training, and peer learning led by tiger team champions. By building confidence and competence, you’re creating an AI-enabled workforce ready to drive real impact. Step 5 coming next ;) Ps my next podcast guest, we talk about what happens when AI does a lot of what humans used to do… Stay tuned.

Soft skills-only leadership is out. Modern leaders speak tech & think AI. As a fractional CMO navigating B2B marketing challenges, I've felt the sting of tech illiteracy firsthand. When first using AI, a campaign flopped because I underestimated AI-driven data analysis, leaving us behind understanding shifting buyer behaviors. It was a vulnerable wake-up call: without these skills, even the best strategies crumble. Here’s 9 ways to revolutionize your team's tech fluency and AI expertise: 1/ AI Literacy Basics → Start with core concepts like machine learning and AI Agents to build confidence. → AI tools can simulate scenarios, turning abstract ideas into tangible insights. 💡 Leaders: Integrate AI-powered platforms into onboarding to personalize learning paths. 2/ Data Analysis Mastery → Teach teams to interpret datasets for actionable intelligence. → From customer trends to market forecasts, it reveals hidden opportunities. 💡 Marketers: Use AI tools to automate insights and train teams. 3/ Mentorship Programs → Structured pairings accelerate knowledge transfer through guidance. → It fosters vulnerability, allowing mentees to admit gaps without judgment. 💡 Leaders: Connect mentors based on skill profiles, ensuring efficient pairings. 4/ Hands-On Workshops → Interactive sessions with AI simulations build practical fluency. → Focus on B2B scenarios like predictive analytics for sales pipelines. 💡 Marketers: Run AI-driven hackathons to solve real campaign challenges. 5/ Continuous Learning Frameworks → Use models like the 70-20-10 rule: 70% on-the-job, 20% mentoring, 10% formal training. → AI tracks progress and suggests custom modules. 💡 Leaders: Implement LMS to monitor upskilling ROI in real time. 6/ Cross-Functional Collaboration → Encourage marketing, sales, and IT to co-create AI projects. → It bridges gaps, revealing how data fluency enhances personalization. 💡 Marketers: Use collaboration tools to facilitate joint data analysis sessions. 7/ Ethical AI Training → Cover bias detection and privacy in AI applications. → Essential for trustworthy B2B implementations that build client trust. 💡 Leaders: Deploy AI ethics simulators to role-play scenarios and reinforce guidelines. 8/ Tool Proficiency → From ChatGPT to advanced analytics suites, hands-on mastery is key. → AI auto-tutorials speed adoption without overwhelming teams. 💡 Marketers: Train on AI for content optimization, like using tools to A/B test messaging. 9/ Feedback Loops → Regular assessments using AI to identify skill gaps. → It turns vulnerability into growth, like admitting weak areas in team reviews. 💡 Leaders: Set up AI dashboards for feedback on tech fluency progress. Tech fluency & AI expertise are redefining leadership by blending human vulnerability with precise, scalable frameworks. Invest in these strategies to transform your workforce. Follow Carolyn Healey for more AI content. DM me if you need help getting started using AI.

Practice what you preach! How we leverage AI at IBM Consulting. Adopting AI successfully isn’t just about having the technology—it’s about making it part of the everyday flow of work. At IBM Consulting, we’ve embraced this philosophy by weaving AI deeply into our consultants’ work. The goal: Make AI essential, intuitive, and trusted. One year ago, we launched IBM Consulting Advantage, an AI-powered delivery platform that supports our global consulting workforce. Today, it has over 85,000 active users, more than 2,000 AI assistants, and over 60 industry-specific applications. The results have been remarkable, with up to 50% productivity gains on various tasks. This is what we learned along our own AI journey: 1. Embedding AI in Everyday Workflows To drive adoption, AI must feel natural and helpful. For example, we’ve embedded AI capabilities directly into repeatable consulting methods, like cloud migration processes, where they provide the most value. 2. Fostering a Growth Mindset AI’s potential grows with creative thinking. We encourage teams to innovate continuously, finding new applications for AI. For instance, we’re developing smaller, industry-specific foundation models, tailored for complex tasks like compliance or code modernization in regulated industries. Clients are part of this process, making innovation collaborative and relevant. 3. Building Trust in AI AI adoption thrives on trust. Our consultants receive targeted training to use AI confidently, and we provide open channels—like comment boards and Slack forums—for feedback. These insights directly shape future enhancements to our platform. Our consultants are empowered to question AI outputs and understand their source, ensuring confidence in what AI delivers. 4. Empowering Employees as Creators AI isn’t something that happens to people—it’s a tool that works for them. We’ve built a culture where consultants can create their own AI assistants to address specific challenges. These assistants can be shared, improved, and upvoted by peers, creating a collaborative ecosystem of innovation. By making AI easy, intuitive, and empowering, IBM Consulting Advantage is transforming how we work—and how we help our clients embrace AI. Organizations that truly want to leverage AI need to combine technology with human expertise and behavior change. At IBM Consulting, we’re not just preaching this message; we’re living it. #IBM #IBMiX #AI #genAI

You can spend millions on new tech, but without this one skill, you're part of the 70% that fail. Ever watched a child resist trying new food? That's exactly how most employees feel about new technology at work. I learned this the hard way while leading digital changes in my team. The game changer wasn't fancy software, it was understanding how my team felt. Here's the exact playbook that turned my team's tech fear into enthusiasm: 1. Listen first, act later. When team members worry about losing their jobs to automation, show them how the new tools will make their work easier, not take it away. Schedule dedicated 1:1 sessions to document concerns. 2. Keep talking, keep sharing. Set up structured communication channels, bi-weekly tech updates and anonymous feedback systems. 3. Take baby steps. No one learned to run before walking. Give your team time to learn new tools at their own pace. Break training into short, digestible 15-minute daily modules focusing on immediate-use features. 4. Celebrate small victories. Create a weekly "Tech Win" spotlight in team meetings to recognize progress. 5. Know yourself first. As a leader, if you're stressed about change, your team will feel it too. Use established change management frameworks to assess and manage your own readiness for change. The success of digital initiatives isn't measured by technological efficiency, but by how well teams adapt and thrive in their new environment. What's the biggest challenge you've faced when implementing new technology in your team? #Leadership #Growth #Change #Success

We hired a Senior developer with an impeccable resume and brilliant technical skills. Within three months, two team members were threatening to quit. The technical interview had been flawless—our new hire solved complex problems with elegant solutions, knew our tech stack inside out, and had an impressive portfolio. What we failed to evaluate was cultural fit. The issues emerged quickly: 😒 refused to participate in code reviews unless forced 😒 regularly interrupted junior team members during discussions 😒 worked in isolation, creating solutions without consulting stakeholders 😒 dismissed design documentation as "a waste of time" Despite technical brilliance, the team's velocity actually decreased. The collaborative environment we'd built was deteriorating. The painful lesson: technical excellence without cultural alignment is ultimately destructive. Now, client's cultural fit assessment is as rigorous as their technical evaluation. Some approaches that have worked for us: ✅ include diverse team members in the interview process ✅ create scenarios that test collaboration, not just technical knowledge >> "How would you approach onboarding a new junior developer to your project?" >> "Tell me about a time you received feedback on your code that you disagreed with." ✅ be explicit about your values and expectations ✅ have candidates walk through how they've handled specific situations that align with your team's challenges What strategies have you found effective for evaluating cultural fit in technical hires? Have you ever experienced a similar situation? #TechHiring #CulturalFit #TechTeams

In the last year, I’ve interviewed 250+ people for AI consulting roles - from fresh associates to Chief AI Officers. The range was wide, but the patterns were clear. Every candidate brought something different to the table, but only a handful consistently showed the traits that make a consultant truly effective in this space. If you’re hiring, these are the traits I’d put at the very top of your rubric. And if you’re a consultant, these are the muscles worth sharpening to stand out. 1. Relentless focus on business value. The consultants who stand out never get lost in the hype. They’re fluent in use cases, sure, but they anchor every idea to something measurable: ROI, cost reduction, risk mitigation, growth potential, EBITDA impact, etc. They know how to translate “AI exploration” into “business outcomes.” And they can explain why their recommendation deserves investment, not just curiosity. If you can’t make that leap, you’re not really consulting, you’re just experimenting. 🤷♂️ 2. Technical depth, translated for humans. Great consultants don’t need to be engineers. But they do need the technical chops to cut through noise, ask the right questions, and spot red flags before they become expensive mistakes. More importantly, they can flex their communication style: stress-testing architecture with a CTO in one meeting, then simplifying the same point into one slide a CFO can act on in the next. That translation ability is where trust is built - and where adoption actually happens. 3. Agency + creativity. The strongest consultants thrive in ambiguity - especially in a field that's changing every day. They don’t sit back waiting for perfectly packaged problems to land on their desk. They shape vague stakeholder ideas into structured roadmaps, uncover opportunities others miss, and push work forward even when the guardrails aren’t clear. In a field moving as fast as AI, that mix of ownership and creativity is what turns a consultant into a true partner - someone who can take “we don’t know where to start” and turn it into “here’s our next three steps.” CLARITY. To sum things up: AI consulting isn’t about having all the answers. It’s about bringing clarity, focus, and momentum when everyone else is stuck in AI overwhelm. What else would you add to the list? #Consulting #AI #MBB #AIConsulting #Big4

𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐈𝐓 𝐓𝐞𝐚𝐦 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 (𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐲 𝐦𝐨𝐬𝐭 𝐭𝐞𝐚𝐦𝐬 𝐟𝐚𝐢𝐥 𝐭𝐨 𝐬𝐜𝐚𝐥𝐞 𝐨𝐧 𝐭𝐢𝐦𝐞.) Not about hiring faster. Not about filling empty seats. Not even about cutting costs. The real value sits deeper. Long before a developer writes a single line of code. I learned this by building global tech teams. Projects didn’t fail from lack of skill They failed from lack of the right support at the right moment. → 1. Start with team clarity — Define the gaps honestly. — Know what slows the team today. — Understand where expertise is missing. — This sets the right foundation. → 2. Choose specialists, not generalists — Pick the talent that fits the exact role. — Match skills with workload pressure. — Bring people who lift the team, not copy it. → 3. Integrate smoothly — Align tools and processes early. — Set communication rules clearly. — Treat augmented members as full teammates. — Momentum comes from unity. → 4. Scale only when needed — Grow the team during peak workload. — Reduce when pressure drops. — Keep the team lean, not overloaded. → 5. Maintain speed without burnout — Distribute tasks fairly. — Protect your core team’s focus. — Let specialists handle heavy lifting. → 6. Improve continuously — Review performance often. — Realign roles as projects evolve. — Strengthen collaboration as the product grows. Great engineering doesn’t come from hiring more people. It comes from hiring the right people at the right time. Team augmentation isn’t a shortcut. It’s a smart, flexible strategy. Ignore it, Your internal team struggles. Use it wisely, Your entire delivery pipeline transforms. P.S. Do most companies realize the true value of augmentation, yes or no?

Scaling tech isn't just about the latest tools or platforms. The real game-changer is ignored by 90% of companies.👇 It's the human element. Tech adoption without people-first strategies often leads to failure. Here's what successful companies do differently: 1. They invest in upskilling their workforce 2. They foster a culture of continuous learning 3. They align tech initiatives with employee needs 4. They create cross-functional teams for better integration 5. They prioritize change management from day one Remember: Your tech is only as good as the people using it. The most advanced AI can't replace human creativity and problem-solving. Your team's ability to adapt and innovate with new tech is your true competitive edge. Don't just throw money at the latest gadgets. Invest in your people. Build a tech-savvy, adaptable workforce. That's how you truly scale technology and drive transformation. Empower your team to lead the tech revolution, not just follow it.

Upskilling Strategies: Yesterday we looked at the Upskilling for business success and today we're going to look at customizing learning pathways for your Tech team. In today’s tech landscape, a one-size-fits-all approach to training just doesn’t work. To build a high-performing, future-ready tech team, upskilling programs need to be personalized and role-specific. 🔍 Start by assessing your team’s current skills: Use skills assessments, 360-degree feedback, and project performance reviews to understand the strengths and gaps within your tech teams. 🔑 Tailor learning pathways to meet the needs of specific roles within your organization. A few examples: ·       Cloud Engineers can benefit from certifications and training in platforms like AWS, Microsoft Azure, or Google Cloud. ·       DevOps Teams should focus on tools like Docker, Kubernetes, Jenkins, and CI/CD pipelines to streamline workflows and improve collaboration. ·       Cybersecurity Specialists need continuous learning in threat detection, encryption, and certifications like CISSP or CEH. ·       Software Developers could advance their skills in languages like Python or Java, or explore microservices and API development. 🎯 Personalization matters. When you align learning paths with individual roles and career goals, your team is more engaged and motivated, and the impact of upskilling is much greater. To create a successful upskilling strategy: ·       Set clear development goals based on current and future business needs. ·       Leverage e-learning platforms that offer customizable learning paths and assessments. ·       Encourage mentorship and peer learning to reinforce new skills within the team. ·       Investing in personalized learning paths doesn’t just future-proof your workforce—it drives innovation, improves retention, and keeps your tech teams agile and ready for the challenges ahead. Are your upskilling programs tailored to the unique needs of your tech team? #upskilling #personalizedlearning #techtrends #cloudengineering #DevOps #cybersecurity #continuouslearning #workforcedevelopment

In the dynamic landscape of the mid-40s professional journey, fostering continuous skill development amplifies personal growth. Recognizing the strategic power of hiring expertise beyond one's current skill set can foster a thriving environment of innovation, driving unparalleled success and fostering an adaptable, resilient workforce. Embrace an ethos of lifelong learning by engaging in targeted professional development programs, attending relevant workshops, and actively seeking mentorship opportunities. Additionally, delegating tasks to individuals possessing specialized skills not only fosters a collaborative work environment but also cultivates a diverse, multidimensional team capable of tackling complex challenges with ingenuity and expertise. For the first option (continuous skill development): 1. Actively participate in industry-specific conferences and seminars to stay updated on the latest trends and advancements. 2. Enroll in online courses or certification programs to broaden your knowledge base and stay competitive in a rapidly evolving job market. 3. Seek out cross-functional training opportunities within your organization to diversify your skill set and gain a comprehensive understanding of various departments. 4. Cultivate a habit of reading relevant literature and research papers to stay informed about emerging technologies and best practices in your field. For the second option (hiring expertise beyond your skill set): 1. Identify key areas where your current skill set might be lacking and recruit individuals with specialized knowledge and expertise in those domains. 2. Foster a culture of collaboration by encouraging team members to share their unique skills and insights, thereby creating a robust environment for cross-functional learning and growth. 3. Delegate tasks to individuals who possess the requisite skills, enabling you to focus on strategic decision-making and leadership responsibilities. 4. Encourage the exchange of ideas and knowledge-sharing sessions within your team, fostering a collective learning environment that benefits the entire organization. #My2Cents: Conquering the phases of survival and thriving, need a fair balance of internal structuring and asking help from all quarters. #careersupport #workplacesuccess