Beyond Chatbots, how Avaamo is Transforming Enterprise AI with Autonomous Agents

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In a world where generative AI is reshaping industries, few companies are as deeply embedded in enterprise transformation as Avaamo. Co-founder and CTO Sriram Chakravarthy has been at the forefront of AI innovation, bringing structured intelligence to unstructured enterprise workflows. In an exclusive interview, Chakravarthy delves into Avaamo's approach to enterprise AI, the evolution of conversational AI, and the road ahead for AI-driven business transformation.

From Engineering to AI Entrepreneurship

Sriram Chakravarthy’s journey in technology began in Chennai, India, followed by an undergraduate degree at BITS Pilani. He moved to the U.S. two decades ago, building high-performance messaging systems at Tibco before transitioning into product management. In 2024, he co-founded Avaamo to pioneer conversational AI for enterprises.

Reflecting on AI adoption trends, Chakravarthy states, “One of the biggest trends we saw in 2024 was the increasing enterprise adoption of generative AI. The shift from pilot projects to full-scale deployment is accelerating, and in 2025, AI agents and automation will play an even bigger role.”

Beyond the Hype: Addressing Real Enterprise Challenges

While generative AI has made significant inroads, the biggest challenge remains enterprise-specific implementation. Chakravarthy outlines three key focus areas for Avaamo:

1. Enterprise-Specific Content – AI must work with proprietary workflows, policies, and internal documentation rather than relying solely on public data.

2. Access Control & Contextualization – AI solutions must respect role-based access policies, ensuring that different users receive contextually relevant information.

3. Tangible Business Value – AI adoption is no longer about experimentation; enterprises demand measurable outcomes in cost savings, efficiency, and revenue growth.

LAM: Enterprise AI Built for Regulated Industries

Avaamo’s Large Language Model for Enterprise AI (LAM) is specifically designed for high-compliance sectors like healthcare and finance. Chakravarthy highlights three key innovations that make LAM a game-changer:

• Eliminating Hallucinations – Inaccuracy in AI-generated content can be catastrophic in industries like healthcare and finance. LAM ensures factual precision and mitigates hallucinations.

• Seamless Enterprise Workflow Integration – AI needs to enhance, not disrupt, structured workflows in enterprise software like SAP, Oracle.

• Secure Enterprise Data Handling – AI must comply with stringent security and regulatory standards while seamlessly interacting with enterprise databases.

Enterprise AI in Action: Real-World Deployments

While AI adoption often starts with service bots and customer engagement, Avaamo is driving deeper automation across industries. Chakravarthy shares three compelling case studies:

1. Patient Experience: Leading healthcare providers like UC Health and Mass General use Avaamo to streamline scheduling. AI handles patient authentication, integrates with Epic’s scheduling system, and executes real-time appointment management.

2. Employee Experience: AI-driven procurement automation enables employees to request hardware or software, with AI enforcing company policies and executing purchases directly within enterprise platforms.

3. Customer Experience: Logistics firms use Avaamo’s AI to automate truck rentals, allowing customers to check availability and complete bookings via conversational interfaces.

Avaamo’s approach goes beyond copilots; we’re delivering agentic automation, where AI actively completes tasks instead of merely assisting users, Chakravarthy emphasizes.

Multilingual AI and India’s Role in Global AI Innovation

With India emerging as an AI powerhouse, Avaamo is addressing unique regional challenges such as code-mixed language input. Its patented sparse data-based inferencing technology enables AI to interpret hybrid language queries (e.g., Hindi mixed with English), ensuring seamless interactions despite bandwidth constraints.

Beyond technological innovation, Avaamo is leveraging India’s talent pool. “We set up our India office alongside our U.S. operations to ensure global integration. Many of our enterprise clients have AI centers in India, and I personally spend half my time here working with them,” says Chakravarthy.

Looking Ahead: The Future of Conversational AI

As enterprises refine their AI strategies, Chakravarthy outlines three major trends for 2025:

1. From Co-Pilots to Autonomous Agents – AI will evolve beyond information retrieval to execute complex tasks autonomously.

2. ROI-Driven AI Adoption – Enterprises will demand concrete value from AI investments, focusing on efficiency, revenue growth, and cost reduction.

3. Rise of the Experience-Driven Developer – The AI ecosystem is shifting from traditional software development to a new paradigm where prompt engineers and AI experience designers shape the future.

Avaamo’s India Strategy for 2025

India remains central to Avaamo’s growth. Rather than pursuing aggressive hiring sprees, Avaamo is scaling sustainably, focusing on long-term AI investments and enterprise adoption.

With a clear focus on innovation, security, and real-world AI applications, Avaamo is not just building technology—it is redefining enterprise AI. As generative AI moves from hype to mainstream, companies like Avaamo are ensuring that AI delivers tangible, scalable business impact.