“Show Me the Money”
Elevated, emotional and resoundingly emphatic… this unforgettable exchange between Arizona Cardinals’ wide receiver Rod Tidwell (played by Cuba Gooding Jr.) and his sports agent Jerry Maguire (played by Tom Cruise) in the sports romedy Jerry Maguire will be remembered as a peak cultural moment for a generation and more.
The passion, understandable. The demand, relatable. As tech leaders, navigating this burgeoning, disruptive space, we get it.
For every enterprise leader juggling AI adoption hurdles, navigating new technologies along with rapidly shifting priorities, juggling bottomlines and change management and organizational dynamics, there’s a call to go beyond the buzz, to the biz, and demonstrate scalable, tangible business value.
In our last edition, we spoke about how the disruptive growth that AI transformation offers, must be filtered through a contextual lens, what we call: STAQD:
S – Stewardship: Purpose-driven innovation
T – Trust & Governance: Building AI that’s ethical, responsible, and accountable
A – Aspiration: Architecture that lasts, insights that evolve
Q – Quality: The discipline that turns rigor into reliability
D – Domain Knowledge: Grounding tech in human context for real impact
To round off our Anniversary month with another special edition of AI of the Tiger, we deep-dive into the ‘new’ kid on the block, Agentic AI – with no frills, no hype, just real stories, case studies, and learnings based on tried and tested projects.
But first… let’s take a step back and re-examine the basics.
The question on everyone’s mind right now… Is Agentic AI the MVP? The star quarterback to swoop in and save the team single-handedly?
Based on our experience, even the best quarterbacks can’t do much without an offensive line to protect them, receivers who can catch, and a coach carefully adjusting strategies mid-match.
More than a ‘Hail Mary/silver bullet’ solution, we counter that Agentic AI is a field general- orchestrating the right plays, reading and running defense, and connecting other agents (different team specialists and members) to operate in sync. It is a well-oiled, well-coordinated system. What it needs is the proper infrastructure, data pipelines, governance, domain knowledge, and human collaboration to create meaningful and repeatable wins.
How does this play out in real-world problems and scenarios? We show you the use cases, and yes, the money, and more…
“Help Me Help You”: Reimagining and Reengineering the Enterprise
In Jerry Maguire, the turning point comes when Jerry tells his client Rod Tidwell: “Help me help you.” Ever-shifting goalposts signal a need for building trust through strategy. Rather than a ‘patchwork’ approach to deploying AI-transformation, technology upheavals dictate a paradigm shift in how we approach enterprise AI and AI for the enterprise. Our take? A reimagining and reengineering that includes:
- Understanding the ‘Agents’ of change (agentic AI, that is).
- Thinking of a ‘platforms’ approach early on, to ensure pilots can scale.
- Casting a wider net to identify opportunities to impact through AI, across Process Management, Data Management, Insights delivery, and Business + Technology support.
- Matching top-down efforts with a bottom-up ‘AI for Personas’ approach, to drive both adoption and value at scale.
- Developing and articulating a clear execution strategy for the above.
The goal is to build an AI-powered enterprise that doesn’t just run plays –Â it runs the field. Read more..
“Showing you the Money”: Operationalizing Agentic AI for Smarter Customer Experience: Insights from Real-world Deployments
The future of CX is not just data-driven, it is data-activated, AI-empowered, and experience-obsessed. Agentic AI puts the proof on the scoreboard by helping businesses manage complex data ecosystems, refine analytical models, and seamlessly embed them into their operations. How are organizations reexamining the role of analytics from a passive tool to an active enabler of intelligent, customer-centric decisions? We talk about agentic AI-powered knowledge assistants in the retail technology sector, and hyper-personalized marketing for a leading quick-service restaurant chain, we share more on the Revenue Growth Management (RGM) process etc. Read our field notes based on real-world deployments.
“No Fumbles”: Compliance and Forecasting as a Double Win
AI agents are changing how organizations manage compliance and forecasting by automating data orchestration and decision-making. In retail banking, agents help streamline regulatory reporting, reducing manual effort and ensuring real-time compliance. For retailers, AI-driven demand forecasting leverages external data to optimize inventory and respond dynamically to market shifts. We’re connecting the dots on how Agentic AI platforms like Agentspace can help build smarter compliance and forecasting.
“The Blind Side”: Supply Chains and Warehouse Resilience
In football, protecting the quarterback’s blind side ensures that the team can execute without disaster. How can organizations ensure that their blind spots are protected? We integrated a GenAI-powered Agentic Assistant with the “E2E Order to Fulfillment Control Tower” for a global food and beverage leader. This provided real-time visibility into fulfillment rates, shipment statuses, and inventory levels.
The payoff? Real-time supply chain insights, faster and more accurate decision-making and a supply chain protected against disruptions, built to play the long game. Here’s the deep-dive…
So, what’s your take on the future of Agentic AI and where it’s headed? Who are the major stakeholders and how will enterprises adapt? Share your thoughts with us, we’d love to know.
This edition was originally published on LinkedIn on September 24, 2025.
