Ahmedabad, India | [23rd February 2026] : Rootle.ai, an Ahmedabad-based Voice AI
startup, today announced the launch of what it describes as India’s first Institutional
Memory Voice AI platform for customer journeys. The system is designed to
reduce enterprise knowledge loss resulting from high employee turnover in
customer-facing roles.
Across high-growth sectors in India, annual attrition in sales and
customer support teams is often estimated at 30–40%. While organizations
closely monitor recruitment and training costs, the operational impact of lost
customer knowledge — including prior conversation history, sentiment context,
commitments made, and follow-up nuances — frequently remains unmeasured.
Industry estimates suggest that Indian enterprises may lose up to 37%
of institutional knowledge annually due to workforce churn. Rootle.ai aims to
address this structural gap through a persistent AI-driven memory layer
embedded within customer interactions.
From Human-Dependent Memory to Persistent AI Memory
Traditional customer journey management often relies on individual
employees retaining contextual understanding of client relationships. When
employees exit, continuity may be disrupted.
Rootle.ai’s platform captures, structures, and continuously learns from every
voice interaction — spanning lead qualification, onboarding, support
resolution, and renewals. According to the company, this creates:
•
Continuous
customer context preservation
•
Structured
interaction intelligence
•
Institutional
memory independent of individual employees
“India is a high-growth, high-mobility talent market,” said Vikram
Patel, CEO of Rootle.ai. “Companies scale fast. Teams change fast. But customer
context should not disappear when people do. We are building infrastructure
that preserves institutional memory at the core of customer experience.”
Building Institutional Continuity Across the Customer Lifecycle
While many AI tools focus on automation or manpower reduction,
Rootle.ai positions its solution as an intelligence and continuity layer across
the entire customer lifecycle, including:
•
Lead
qualification and nurturing
•
Follow-up
conversations
•
Customer
support interactions
•
Escalation
handling
•
Renewals
and retention workflows
By centralizing and structuring voice interaction data, enterprises may
benefit from:
•
Consistent
customer communication
•
Reduced
onboarding time for new hires
•
Faster
response cycles
•
Lower
operational inefficiencies
•
Improved
continuity in customer relationships
In sectors where customer acquisition costs are rising, maintaining
engagement continuity can have direct revenue implications.
Addressing India’s Structural CX Challenge
India’s expanding startup and enterprise ecosystem has accelerated the
scaling of sales and support teams.
However, sustained attrition can lead to recurring knowledge resets and
operational gaps.
Rootle.ai believes institutional memory infrastructure will become
increasingly relevant as AI adoption deepens across industries.
“As AI adoption accelerates, automation alone will not define
winners,” Patel added. “The real advantage will belong to companies that can
compound knowledge instead of repeatedly rebuilding it. Institutional memory is
emerging as a foundational layer for enterprise customer experience.”
About Rootle.ai
Founded in Ahmedabad, Rootle.ai is a Voice AI platform focused on
strengthening and automating customer journeys for Indian enterprises. The
company is building an Institutional Memory Voice AI system aimed at ensuring
continuity, consistency, and scalability in customer engagement.
Website: www.rootle.ai
