Customer Engagement

Trust-First AI for Enterprise CRM Engagement

Our Client’s Backstory

Our client is an enterprise sales intelligence platform, providing CRM solutions for organizations to manage pipeline execution and revenue visibility. In a market where CRM systems are often perceived as administrative overhead, the platform’s success relies on maximizing engagement from frontline sales teams. As the client’s sole engineering partner, Klika was tasked with architecting the AI-native capabilities required to transform the CRM into an active sales assistant that drives user retention.

The Challenges

Traditional CRM platforms suffer from a disconnect between data-entry fatigue and the need for executive visibility. Key challenges included:

Administrative Friction: Reducing the manual data-entry burden that leads to low adoption and incomplete sales pipelines.
Low-Trust Reporting: Eliminating reporting gaps caused by incomplete CRM data, which results in missed business opportunities.
AI Skepticism: Introducing Artificial Intelligence to an enterprise user base that is resistant to automated workflow disruptions.
Data Fragmentation: Harmonizing unstructured relationship intelligence (emails, calls, calendars) with structured account data in real-time.

Solutions

Klika engineered an AI assistant designed to enhance existing workflows through conversational intelligence and automated account summaries. Our solution included:

Hybrid Retrieval-Augmented Generation (RAG): Architected a RAG engine that grounds conversational AI in both structured account data and vectorized interaction history.
Enterprise Activity Intelligence Layer: Developed ingestion pipelines to structure data across email, calendar, and voice calls, creating a reliable CRM context.
Conversational Account Guidance: Built an intuitive AI chat interface that helps users identify next steps and account states through natural language queries.
Opt-In Executive Summarization: Engineered a notification system that generates automated updates for leadership on accounts they explicitly follow.
AI Rollout Strategy: Introduced AI capabilities unobtrusively, allowing users to adopt features at their own pace while preserving legacy workflows.
Vector-Based Unstructured Data Processing: Leveraged vector storage to manage and query large-scale volumes of relationship data with near-instant responsiveness.

The Results

The integration of Klika’s AI-native features has redefined the platform’s value proposition, achieving industry-leading engagement metrics.

75% Monthly Active Usage (MAU): Achieved platform stickiness across all licensed users, exceeding the industry average for CRM behavior.
25% MoM Executive Engagement Growth: Sustained growth in executive summary adoption, peaking at 25% month-over-month during the rollout phase.
Doubled AI Chat Adoption: Observed a 100% increase in active AI chat usage following launch, stabilizing at a high-engagement baseline.
Enhanced Data Integrity: Automated activity ingestion improved the quality of CRM data, providing leadership with a source of truth for revenue forecasting.