by
Dawn Christine Simmons (Khan), Transformation Strategist and Business Process Advisor
Date Published December 29, 2025 - Last Updated December 29, 2025
Transparent Service Excellence in Times of AI and Workforce Disruption
AI is rewriting service work at the exact moment budgets tighten and confidence wavers. Automation is accelerating, self-service is expanding and boards expect measurable business outcomes — not ticket counts. When communication is unclear, people fill the gap with fear, burnout and attrition.
The leaders who win will frame AI as an enabler, not a threat. They will name what’s changing, what isn’t and how people can grow — then prove it with visible actions, shared playbooks and steady communication. In moments of disruption, resilience comes from clarity, empathy and shared purpose.
5 Key Trends to Watch
- AI-Assisted Workflows: Let AI triage the noise; keep humans focused on judgment, empathy and complex problem-solving.
- Shift-Left at Scale: Self-service rises, but explainable AI and accountable handoffs become non-negotiable.
- Outcome-Based Metrics: Shift from IT jargon to business outcomes — time-to-value, risk reduction, experience and trust.
- Communities of Practice: Shared playbooks speed delivery, reduce defects and make change repeatable.
- Trust as a KPI: Transparency drives adoption, retention and service health.
Building Resilient Agile Teams
To thrive as AI reshapes service work, both leaders and individual contributors must invest in the right capabilities:
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Focus Area
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Leaders
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Individual Contributors
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AI Skills
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Evaluate AI use cases, measure ROI and align automation with business value.
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Build fluency in AI-augmented workflows, data analysis and explainable AI.
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Best Practice Communities
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Sponsor and formalize communities of practice to share proven playbooks.
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Participate actively — sharing lessons, reusable patterns and practical fixes.
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Certifications
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Focus on ITIL 4, SAFe Agile or DevOps Leader to guide large-scale change.
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Pursue role-based certifications (ServiceNow, AWS and Microsoft AI Fundamentals).
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The Cost of Silence
AI promises efficiency, but silence from leadership erodes trust faster than automation disrupts. Gartner predicts that by 2029, agentic AI will autonomously resolve 80% of common customer service issues without human intervention. That shift demands new skills, new operating models and a new level of transparency. Yet McKinsey notes that roughly 70% of transformations fail. Not because the technology is weak, but because trust breaks.
With flat budgets and layoffs, silence becomes a credibility crisis. Employees ask:
- Will AI replace my role?
- How will we deliver with fewer resources?
- Can I trust leadership has a plan?
Unanswered questions accelerate attrition. PwC’s Global Workforce Hopes & Fears Survey found that 26% of employees say they are likely to change jobs within the next 12 months — and among those who feel overworked, that rises to 44%. In a workforce disruption, silence isn’t neutral; it’s costly.
3 Leaders to Learn From
In the face of change, the best service leaders don’t stay silent — they overcommunicate, reframe priorities, and put people first.
- Satya Nadella (Microsoft): Rebuilt culture on empathy — shifting from “know-it-all” to “learn-it-all.” The result was renewed collaboration, faster innovation and a surge in employee engagement that fueled Microsoft’s turnaround.
- Bill McDermott (ServiceNow): Framed innovation as people-first, not process-first. This strengthened customer trust, accelerated adoption and positioned ServiceNow as a leader in human-centered digital transformation.
- Ginni Rometty (IBM): Guided tough pivots by reskilling employees and openly explaining the why. Her approach reduced fear, built confidence in change and prepared the workforce for new growth opportunities.
How Individual Contributors Can Lead
- Own a Community of Practice: Share lessons and playbooks.
- Frame AI as a partner: Show how it enhances your role.
- Make value visible: Translate uptime and reliability into business outcomes.
- Model resilience: Be a steady voice when fear spreads.
What Leaders Must Do
- Overcommunicate strategy: Even bad news builds trust.
- Anchor AI in value, not fear: Position it as augmentation, not replacement.
- Equip managers: Middle layers need facts to prevent rumor mills.
- Invest in communities: Build networks that reduce risk and accelerate learning.
Resilience as an Execution Advantage
Resilience is about disciplined execution under pressure, turning disruption into advantage. Here are a few examples:
- Toyota: Embedded continuous improvement through its production system community.
- Procter & Gamble: Used Connect + Develop to accelerate innovation in downturns.
- ServiceNow: Built a global practitioner community to reduce risk and sustain adoption.
From Survival to Service Excellence
To thrive in 2025, your organization should:
- Make service health visible: Share metrics in business language.
- Build execution communities: Reduce risk with shared playbooks.
- Lead with empathy: Technology may scale, but empathy differentiates.
Executive Takeaway
- Trust is a KPI: Gallup says engaged teams deliver 21% higher profitability.
- Silence is a liability: It accelerates attrition faster than AI disruption.
- Resilience grows from connection: Communities of practice sharpen execution.
- Humanize disruption: People don’t just stay for pay — they stay for clarity and shared purpose.
The service organizations that endure are those whose leaders choose clarity over silence — and turn trust into execution.
Author Bio
Dawn Christine Simmons (Khan) is a 25-year IT recognized leader in Digital Business Transformation, Service Management best practices, and ITIL implementation. She currently serves as a Senior Business Consultant at Cognizant, helping organizations redesign Business Service Solutions for the GenAI era where people co-create a winning customer experience, and intelligent automation.