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Deloitte’s AI Forum 2026

AI that means business. ROI that counts.

For three years,  DAIF has been where leaders converge to explore how intelligence reshapes business. In its fourth edition, the focus turns to the question that now defines the AI agenda: What’s the real return on intelligence?

About Deloitte’s AI Forum 2026

AI has moved beyond experimentation. It is now measured by the outcomes it delivers. How it transforms operating models, turns insight into impact, unlocks profit, and powers a digital workforce that works alongside people. Leaders want AI that means business, solutions that deliver results, not promises; ROI, not potential.

Across industries, organisations are using AI to rethink how work gets done, accelerate decision-making, personalise at scale, and create new sources of advantage. The shift is clear—from potential to profit, from intelligence to outcomes, from ideas to impact.

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The recently concluded third edition of Deloitte’s AI Forum (DAIF) provided a powerful platform to showcase the collective brilliance, unparalleled expertise, and groundbreaking innovation in the AI domain. A joint property by Deloitte India, Deloitte US and USI, it brought together an elite gathering of industry experts, thought leaders, and pioneers who are at the forefront of deploying AI across business functions, reshaping industries on a global scale. We saw attendance from our targeted strategic clients, GCCs and senior analysts.

Event highlights

The recently concluded third edition of Deloitte’s AI Forum (DAIF) provided a powerful platform to showcase the collective brilliance, unparalleled expertise, and groundbreaking innovation in the AI domain. A joint property by Deloitte India, Deloitte US and USI, it brought together an elite gathering of industry experts, thought leaders, and pioneers who are at the forefront of deploying AI across business functions, reshaping industries on a global scale. We saw attendance from our targeted strategic clients, GCCs and senior analysts.

250+ clients:

DAIF hosted 250+ clients from top leadership roles such as C-suites, Director, VPs and Senior managers.

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95+ companies:

Top companies and GCCs across industries such as Consumer, Retail, Banking and Financial Services, Pharma and more.

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16 sessions:

Keynote, panel discussions and fireside chats on trending topics such as India as AI leader, AI in creative industry, Agentic AI, AI for Good, GenAI for workforce transformation, and more.

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5 experience zones:

Showcased cutting-edge solutions – Multimodal Live API (real-time integration of diverse data stream), Zora AI (financial analysis with real-time insights), Code Compass (enhancing coding experience), AdMan (creating hyper-personalized adverts), AI Beena (interactive hologram of our AI leader Beena Ammanath).

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The future of AI is here

Our thinking

Agentic AI: Autonomous Generative AI agents

Deloitte predicts that in 2025, 25% of companies that use GenAI will launch Agentic AI pilots or proofs of concept, growing to 50% in 2027.

The business imperative for Agentic AI

Agentic AI enables businesses to operate efficiently by automating front, middle and back-office functions, including customer outreach and engagement, product innovation and finance operations.

Chapter 1: Evaluating agentic AI technology readines

Organisations must take structured approaches for selecting business processes for agentic transformation as per organisational needs and maturity levels. First approach is to qualify existing use cases if they are good candidates for Agentic AI and second is prioritising already existing use cases based on impact, ease of implementation and differentiability.

About 92 percent of Indian executives cite security vulnerabilities as the primary obstacle to responsible AI usage: Deloitte report

According to the AI at a crossroads: Building trust as the path to scale report by Deloitte Asia Pacific, about 92 percent of Indian executives identify security vulnerabilities, including hacking and cyber threats, as a primary concern in AI adoption, while 91 percent express significant concern about the privacy risks related to sensitive data in AI usage.
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Chapter 2: Evaluating agentic AI technology readiness

Building the right technical foundation today enables organisations to unlock the true potential of Agentic AI tomorrow. From preparing themselves in terms of establishing a data and AI foundation layer to ensuring seamless interoperability across systems, every step lays the groundwork for a scalable, sustainable and future-ready Agentic AI ecosystem. 

Chapter 3: Defining and measuring the success of agentic AI

This chapter presents simple framework for identifying the right measures of success, monitoring performance at every step and using results to guide decisions and actions consistently across the business.

Chapter 4: Beyond the pilot: Approach to building, scaling and sustaining agentic AI initiatives

This chapter covers how the right architecture, operating model and talent strategy help organisations strategically move agentic AI initiatives from experimentation to scaling. When these come together, it unlocks speed, scale and enables smarter decisions to shape outcomes that matter.

Chapter 5: Building human–agent synergy: Equipping and empowering employees to thrive alongside AI agents

AI agents are no longer confined to experimental pilots. They are becoming embedded across enterprise workflows, acting as digital teammates that reason, decide and act. This chapter covers the organisational imperatives and skillsets for empowering a smooth human-agent interaction for long term success in agentic era.

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