Why AI Adoption Fails in Companies | Leadership Insights ft. Shivendra Pratap Singh. - Benepik- Rewards, Engagement & Loyalty Gateway

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Why AI Adoption Fails in Companies | Leadership Insights ft. Shivendra Pratap Singh.

A conversation with Shivendra about why AI adoption is a challenging aspect in corporate and how AI can be approached through workflows, goals and practical use cases.

Shivendra Pratap Singh • Chief People Officer • Ergode

AI Transformation   Employee Experience  Leadership  Future of Work 

Quick Snapshot

Speaker

Shivendra Pratap Singh

Industry

HR Transformation

Topics

AI, Adoption, Leadership

Key Learning

AI should augment human decision, not humanity.

About This Conversation

Introducing an AI tool is probably the easy part. The real challenge is getting employees to use it consistently and make it part of the way they work.

Shivendra Pratap Singh shares his experience of tackling this challenge at Ergode. Instead of making AI adoption about penalties or forcing employees to use new technology, the approach was to bring AI into existing workflows and goals.

One example he shares is the introduction of AI-linked goals within MGAF (Monthly Goals and Achievements Framework). These goals were not necessarily technical. Instead, employees were encouraged to look at practical ways AI could help them improve productivity and reduce repetitive manual work.

The conversation offers a practical perspective on AI adoption: when employees can see how AI makes their work easier, adoption can move beyond experimentation and become part of everyday behaviour.

Key Discussion Topics

AI Adoption Is More Than Buying a Tool

AI tool does not automatically mean people will use it. The challenge is turning technology into something employees actually incorporate into their work.

Making AI Part of Everyday Work

Rather than treating AI as an optional technology, organizations can look for ways to integrate it directly into existing workflows.

Setting AI-Linked Goals

Shivendra discusses using AI-linked goals within the MGAF framework. These goals focus on practical applications rather than simply measuring technical AI knowledge.

Using AI to Improve Productivity

One of the practical areas discussed is using AI to reduce repetitive manual work and help employees become more productive.

Key Takeaways

Adoption Beyond The Tools

Buying an AI tool is only the beginning. Adoption depends on what happens after the technology is introduced.

Solve Real Work Problems

AI works better when it solves real work problems. Productivity improvement and reducing repetitive tasks are practical starting points.

Integrate AI into Workflow

Make AI part of the workflow. Integrating AI into existing processes can make adoption more natural.

Set AI-driven Goals

Goals can encourage adoption. AI-linked goals can give employees a practical reason to explore and use AI.

Speaker Quotes

"If AI feels optional, adoption remains superficial."

"What we did was starting integrating into the workflows."

"These are not technical goals necessarily, but practical usage goals like improving productivity."

"Reducing manual efforts by automating some of the repeated tasks... should be automated by AI."

Why this Matters?

For HR Leaders

Build an appreciation-driven culture by making recognition a consistent and effortless part of the employee experience.

For Business Leaders

Make it easier to recognize employees in the moment and reinforce the behaviours and contributions that matter.

For Frontline Organizations

Create stronger connections across distributed teams by ensuring employees feel seen.

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About The Speaker

Shivendra Pratap Singh

Chief People Officer at Ergode

Shivendra Pratap Singh is a Chief People Officer, people-strategy leader, and AI-in-HR thought leader with experience spanning people operations, organizational culture, leadership, and business transformation. He currently serves as Chief People Officer at Ergode, where he works across people strategy, leadership capability, global operations, and organization design.