From Pilots to Profit — Why Most Banks Are Leaving Gen-AI Value Untapped
According to McKinsey, Gen-AI could deliver between $200 billion and $340 billion in annual productivity gains to the banking sector. Yet, most banks struggle to move beyond small-scale pilots and fail to capture this value at enterprise scale.
Banks typically face:
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Fragmented use cases with no clear scaling roadmap.
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Technology-first pilots that lack business alignment.
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Leadership inertia when early results aren’t tied to measurable financial impact.
iAgentic’s Multi-Agent AI Orchestration Platform helps banks unlock, scale, and operationalize Gen-AI value across the enterprise, bridging the gap between experimentation and real business transformation.
Where the Real Value Lies — McKinsey’s Top Gen-AI Value Drivers
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Customer Engagement
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AI-powered customer service, virtual assistants, and proactive engagement.
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Content Synthesis and Generation
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Summarizing compliance updates, generating marketing content, and automating customer communication.
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Software Development Acceleration
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AI-powered code generation and software maintenance.
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iAgentic’s pre-built AI agents and no-code orchestration studio help banks rapidly operationalize these high-value use cases.
Why Banks Struggle to Scale — And How iAgentic Solves It
| Scaling Challenge | How iAgentic Solves It |
|---|---|
| Fragmented pilots without a scaling roadmap | End-to-End AI Value Realization Framework |
| Lack of leadership alignment on measurable ROI | Executive Dashboards with ROI, Risk, and Adoption Metrics |
| Siloed AI tools with no enterprise-wide integration | Multi-Agent Orchestration Across Customer, Risk, and IT Workflows |
| Poor adoption due to lack of business alignment | Human-in-the-Loop Governance & Role-Specific Training |
Example: Scaling Gen-AI Across Customer Service and Compliance
A leading digital bank used iAgentic to:
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Deploy customer service chatbots and voicebots.
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Automate compliance report summarization.
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Accelerate internal IT ticket resolution using AI-powered assistants.
Results Achieved:
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30% cost reduction in customer service operations.
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50% faster regulatory reporting cycles.
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4x faster resolution of internal tech support tickets.
Why Banks Must Act Now
With rising customer expectations, tightening margins, and new digital challengers, banks can’t afford to let AI pilots stagnate.
The value is real—but capturing it requires scale, governance, and execution.
Ready to Move From Pilot to Profit?
iAgentic offers a Free Gen-AI Value Realization Workshop for Banking Leaders to:
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Identify your highest-value scaling opportunities.
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Build a measurable AI value realization roadmap.
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Align leadership on outcomes and governance.
Enter autonomous AI agents. iAgentic’s platform brings the power of multi-agent orchestration to manufacturing operations – coordinating multiple specialized AI agents that can monitor equipment, optimize workflows, and respond to issues in real time. These AI agents work alongside human experts (with human-in-the-loop controls for oversight) to enhance decision-making and take automated actions when appropriate. Additionally, iAgentic integrates advanced AI-powered chatbots (both text and voice) that interface with workers and managers, and Retrieval-Augmented Generation (RAG) capabilities to pull in knowledge from equipment manuals, historical data, and enterprise systems. The result is a manufacturing environment that is proactive, resilient, and highly efficient.
