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Case Study

From Basic AI Usage to Business Leverage: How a Managing Director Expanded AI's Role Beyond Drafting

HG

Hemant Gupta

Managing Director, MT9 Automation

About the Leader and the Organisation

MT9 Automation operates in the automation and technology solutions space, where efficiency, responsiveness, and customer experience are tightly linked to business performance. As Managing Director, Hemant Gupta is responsible for ensuring that technology adoption translates into real operational value, not just incremental productivity gains.

In such organisations, AI familiarity is common. Strategic AI usage is not.

The Context

Before attending the workshop, Hemant and his team were already using AI—but narrowly.

AI was applied to:

  • Writing emails
  • Drafting customer communication
  • Preparing basic product information

These use cases were helpful, but limited. AI existed at the edges of the workflow, not at its core.

The Limitation

The issue wasn't lack of exposure—it was underutilisation.

Before the workshop:

  • AI was treated as a productivity add-on
  • Its role in customer experience wasn't fully explored
  • Opportunities to improve internal efficiency were unclear
  • Tool awareness existed, but application breadth was narrow

AI was saving time, but not yet shaping outcomes.

What the Workshop Unlocked

The workshop expanded how AI was understood in a business context.

It exposed:

  • Multiple AI tools beyond conversational drafting
  • Ways AI could enhance customer experience, not just communication
  • Opportunities to improve efficiency across workflows
  • A broader view of how AI can be embedded into business processes

AI stopped being a helper and started looking like a capability multiplier.

The Shift in Perspective

The key shift was recognising that AI could influence:

How customers experience the business

How efficiently teams operate internally

How scalable existing processes can become

The session opened "a lot of other opportunities" that hadn't been considered earlier.

— Hemant Gupta

What Changed After

Post-workshop, Hemant walked away with:

A clearer understanding of AI's potential beyond drafting
Intent to explore AI-driven improvements in customer experience
A plan to extend learning to the broader team
Recognition that ongoing learning is necessary as tools evolve

AI adoption moved from isolated usage to organisational consideration.

The Outcome

The immediate outcome wasn't transformation—it was direction.

Broader awareness of AI's business impact
Alignment between leadership intent and team learning
A shift from limited use cases to exploratory application
Commitment to continued learning and implementation

For MT9 Automation, this marked a transition from using AI to thinking with AI.

Managing Director Takeaway

Using AI doesn't mean you're using it fully.

This experience helped move from:

Drafting support Customer experience enhancement
Isolated usage Process-level thinking
One-off tools Ongoing capability building

That distinction defines whether AI remains a convenience—or becomes leverage.

Why This Case Study Matters

Many technology-led businesses believe they are "already using AI."

This case shows why that belief often hides unrealised potential—and how a structured intervention can expand AI's role from basic productivity to meaningful business impact.

That's where real value begins.

Expand AI Beyond Basic Usage

Learn how to transform AI from a drafting tool into strategic business leverage.