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Last updated on Jan 23, 2025
  1. All
  2. Engineering
  3. Artificial Intelligence (AI)

You're integrating AI into existing business processes smoothly. How can you manage expectations effectively?

Incorporating AI into existing workflows requires clear communication and realistic goals. To ensure a seamless transition:

- Set transparent milestones for AI integration to provide a roadmap for progress and manage expectations.

- Provide regular updates to stakeholders about the capabilities and limitations of the AI systems.

- Offer training sessions to familiarize employees with new AI tools, boosting confidence and competence.

How do you approach integrating new technology in your business? Share your strategies.

Artificial Intelligence Artificial Intelligence

Artificial Intelligence

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Last updated on Jan 23, 2025
  1. All
  2. Engineering
  3. Artificial Intelligence (AI)

You're integrating AI into existing business processes smoothly. How can you manage expectations effectively?

Incorporating AI into existing workflows requires clear communication and realistic goals. To ensure a seamless transition:

- Set transparent milestones for AI integration to provide a roadmap for progress and manage expectations.

- Provide regular updates to stakeholders about the capabilities and limitations of the AI systems.

- Offer training sessions to familiarize employees with new AI tools, boosting confidence and competence.

How do you approach integrating new technology in your business? Share your strategies.

Add your perspective
Help others by sharing more (125 characters min.)
505 answers
  • Contributor profile photo
    Contributor profile photo
    Kapil Jain

    Tech Advisor for Startups & Mid-Size Businesses | Fractional CTO | Expertise in DevOps, Data Engineering & Generative AI | Driving Innovation, Scalability & Cost Optimization

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    At Madgical Techdom, one example is our AI-driven recommendation engine for an OTT platform, which personalizes content suggestions based on user behavior. The key to managing expectations effectively is balancing innovation with practicality. Here’s how we ensure smooth adoption: 1. Align AI capabilities with business goals : We identify core pain points and tailor AI solutions that enhance efficiency without disrupting workflows. 2. Implement a phased rollout : Instead of a full-scale launch, we introduce AI in stages, ensuring teams can adapt gradually. 3. Create feedback loops : Continuous refinement based on real user feedback ensures AI delivers value and adapts to evolving needs.

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    Connor Hadden

    C-Suite Partner | Empowering CIOs & Tech Leaders | Maximizing Impact & Driving Success | GTS & MSE Expert | UK&I

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    In 2024, <10% of GenAI POCs reached production due to several factors: -Poor data culture and quality destroyed ROI -Inadequate data governance -Vendor hype and AI washing skewed expectations -Lack of established POV and viable business case Companies focused on POCs without strategic direction, hindering further investment. To succeed, organizations must develop a comprehensive strategy addressing data quality, governance, realistic expectations, and clear business objectives before integrating AI into existing processes. This approach is essential for successful implementation and ROI

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    20
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    MSP Raja

    Solving Real Problems | AI + Cybersecurity + Blockchain + Mental Health | Half Monk, Half Machine | Building What Matters

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    Managing expectations during AI integration requires clear communication and realistic goal-setting. Define AI’s role as an enhancement, not a replacement, ensuring stakeholders understand its capabilities and limitations. Start with small pilot projects to demonstrate value and gather feedback for refinement. Provide training to help employees adapt and collaborate effectively with AI-driven processes. Maintain transparency about challenges and continuously optimize based on performance insights. Set measurable KPIs to track success and align AI adoption with business objectives. By fostering trust and keeping teams engaged, you can ensure a smooth transition while maximizing AI’s impact on your organization’s operations.

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    19
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    Giovanni Sisinna

    🔹Portfolio-Program-Project Management, Technological Innovation, Management Consulting, Generative AI, Artificial Intelligence🔹AI Advisor | Director Program Management | Partner @YOURgroup

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    💡 As I see it, managing AI integration expectations is as crucial as the technology itself. Without clarity, adoption suffers. 🔹 Clear Milestones Setting well-defined checkpoints keeps teams aligned and prevents unrealistic expectations. Small wins build momentum. 🔹 Transparent Communication Frequent updates on AI’s actual capabilities help avoid misconceptions. Stakeholders need clarity, not hype. 🔹 Hands-On Training AI adoption thrives when employees feel confident using it. Practical training fosters trust and efficiency. 📌 Successful AI integration isn’t just about the tech, it’s about people. Clear goals, open dialogue, and training turn AI into a true asset.

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    13
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    Jaffar Ali

    CEO & Founder at Databiqs | Expert in AI, Blockchain, and Web Development | Innovating Future Technologies

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    When integrating AI into business processes, I focus on clear communication and realistic expectations: 1. Set milestones: We establish transparent milestones to provide a clear roadmap and ensure progress is measurable. 2. Regular updates: We keep stakeholders informed about the AI system’s capabilities and limitations, preventing over-optimism. 3. Employee training: We offer training to help employees become comfortable and proficient with new AI tools, ensuring a smooth adoption process.

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Artificial Intelligence

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