Reimagining insurance with AI: How ACKO is building human-centered intelligence

In a regulated industry like insurance, innovation often gets confined to ‘operational efficiency’ rather than creativity: cost-cutting, ticket deflection, and quick productivity gains. But such short-term goals rarely deliver lasting transformation. The result? A wave of “AI-washing”— projects that promised transformation but delivered incremental improvements and transactional experiences that eroded user trust.

Enter ACKO, India’s first fully digital insurer, which opted for a different approach. Instead of leveraging AI as a bolt-on for lean transformation, ACKO reimagined the technology as an operating layer that could bring greater precision, empathy and transparency across the organization - from claims to conversations.

“From day 1, ACKO set out to be a tech company, not a legacy insurer. As a direct-to-consumer company, we knew we could attract people who think in terms of platforms, not processes. Our roots in digital products and our early focus on technology allowed AI to evolve from a project to a mindset – the way we ship, powered by proprietary infrastructure, SaaS-inspired frameworks and built-in observability,” says Vishwanath Ramarao, Co-founder and Chief Product and Technology Officer.

At the heart of ACKO’s AI philosophy lies a clear idea: AI should amplify humans, not replace them. This has powered the company’s design models, based on human+AI partnerships, where algorithms take on precise, context-rich, repetitive work, while humans handle complex, emotionally charged moments, such as accidents or claim negotiations. Every AI decision is explainable, every recommendation traceable, and every user given an “escape hatch” to reach a human instantly. Here, success isn’t measured in call deflections but in fewer loops, fewer regrets, and more trust.

The four pillars of change

To make this vision real, ACKO has built its AI architecture around four key pillars:

• Consumer-facing: Conversation-first journeys that remove friction, simplify assistance, and ensure AI stays helpful, contextual, and consent-aware.
• Advisor-facing: Copilots that hand off complete customer context, enabling faster and warmer resolutions.
• Decision-facing: Transparent, auditable models that support underwriting, pricing, and fraud detection—with human-in-the-loop accountability.
• Productivity-facing: AI tools that accelerate coding, documentation, and strategic planning—turning knowledge into a shared, searchable asset across teams.

ACKO isn’t weaponising AI for efficiency; it's partnering with AI to build trust. By blending empathy with engineering, the company is building an insurance experience that acts less like a bureaucracy and more like an adhocracy - flexible, continuously learning, and deeply human.

Efficiency and empathy: The new principles of insurance

ACKO saw both challenge and opportunity in reimagining growth for regulated industries through genuine innovation rather than mere efficiency. The answer? Build an AI-native platform that delivers thoughtful, conversational experiences that help users find or do what they need faster. The platform is grounded in three core principles:

Human + AI collaboration: While AI manages precise, repetitive and content-aware tasks, people can focus on complex, emotionally-charged moments that require nuance, empathy and judgement.

Conversation over clicks: Systems interpret semantic clues and behaviours to streamline processes, avoid repetitive prompts and guide users with intelligent, culturally relevant responses.

Proactive engagement: ACKO reduces customer effort by anticipating user needs and suggesting next-best actions.

When Technology Becomes a Philosophy

ACKO’s foundation as a tech-driven, direct-to-customer company attracted the kind of talent that eschewed legacy processes to build future-ready platforms. The company’s early focus on technology and digital products set the stage for an AI-led transformation. Culturally, the company set out to build an environment that was builder-driven and demo-first, supported by hackathons, shared AI infrastructure and robust engineering practices, all of which turned AI from an isolated technology into a disciplined organization-wide way of building products and shipping responsibly.

Building an AI-native workforce

AI enablement is now the cornerstone of ACKO’s talent journey. From recruitment to performance, AI-powered tools such as Kula and Mettle assist in identifying deeper traits such as cognitive agility, learning patterns and problem solving styles - going beyond static role descriptions. In performance management, GenAI solutions now make reviews fast, more objective and richer in insight, while continuing to hold space for empathy and human judgement. This creates a continuous cycle of Assess → Develop → Coach → Elevate, where AI is the driver of growth, not merely management.

To power and sustain this shift, leadership enablement was the first priority. Today, business leaders are equipped to champion AI as a key part of the culture, ensuring every Acker sees technology as a driving force for purpose-led innovation.

A three-day immersive program, designed with ISB, gave ACKO leaders an opportunity to explore real company use cases, learn to embed AI-native thinking into their functions and identify opportunities to design agentic, context-aware solutions. Similar initiatives are designed for non-tech teams, helping them understand their evolving roles in adopting and driving the AI transformation.

Bringing these layers together has redefined ACKO’s approach to talent through a two-fold competency framework: the AI-native enablement layer, which builds literacy and adoption across teams, and the foundational human competencies layer, which strengthens behavioral and leadership qualities that make this transition meaningful.

A culture of compassion

ACKO’s AI culture is powered by empathy. ACKO’s AI culture is powered by empathy. Its internal AI layer, Amber, listens, learns and acts autonomously. In just seven months, Amber has analyzed over 1,100 employee interactions, helping close 80% of feedback loops and identifying early signs of disengagement before they surface in surveys. The combination of sentiment analysis and pattern recognition helps the organization identify emerging issues across teams - from dips in morale to gaps in collaborations - allowing for timely, data-driven interventions.

At the company, AI adoption is driven by access, inspiration and agency rather than enforcement. Every Acker has access to approved AI tools, a steadily expanding library for learning resources and clear guidelines to promote safe and thoughtful experimentation. Curiosity is celebrated through initiatives, such as ‘AI at Work’ showcases, Acknovation - a continuous innovation platform and the annual Ackathon - open to all teams, not just tech personnel. These programs encourage customer-faced Ackers to re-look and redesign workflows, products and experiences from an AI-first lens, often leading to measurable and real outcomes across the organization.

The spirit of experimentation extends into talent development. AI fluency is a key topic in growth discussions and leaders encourage Ackers to integrate AI into everyday roles and problem-solving. Exploration and responsible use of AI are recognised as a mark of professional growth, reflecting ACKO’s belief that true transformation is brought about when every Acker is empowered to imagine, experiment and grow with AI. “At ACKO we are letting AI be our telescope. It helps us see farther, clearer, deeper. But our human approach still decides where to look… That’s our responsibility!”, says Satheesh KV, Chief People Officer, ACKO.

The road ahead: Towards human-AI harmony

As ACKO moves forward, its focus is on chronicling AI-driven augmentation into real, measurable success stories— proof that when tech and people are in harmony, the organization thrives. At the core of this journey is psychological safety, where employees feel empowered to explore, experiment, and adapt to the AI shift. In roles where automation reshapes responsibilities, ACKO’s commitment remains clear: to reskill, upskill, and redeploy talent into higher-value opportunities. The vision is to make talent increasingly mobile, fungible, and future-ready, with AI as the bedrock.

One active experiment running in the organization is using AI to assess the quality and impact of engineering work through code analysis, offering new data-led ways to understand employee contribution and performance — potentially redefining how engineering excellence is measured.

Technically, ACKO is adopting Model Context Protocol architecture - a client, host server framework - that is aligned with its microservices ecosystem. The business has also begun the process of separating the semantic from the syntactic aspects of its data and systems, enabling it to build efficient agentic systems. This enables ACKO to create effective and almost-telepathic AI systems that can anticipate customer needs with even greater precision.

Its AI-enabled data pipelines transform unstructured communication into structured insight, enabling more proactive, context-rich customer interactions and a deeper understanding of intent.

Ultimately, ACKO’s next phase is about achieving human-AI harmony—where intelligent systems deepen trust, accelerate growth, and empower every Acker to bring their best self to work. In this future, AI is not the destination, but the co-pilot—quietly amplifying human creativity, empathy, and judgment.