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Client
Augnito
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Service
CRM Implementation
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Industry
Healthcare AI & SaaS
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Company Size
200+
The client
Augnito — a healthcare AI company specialising in clinical voice recognition and documentation solutions — had built a compelling product with strong market-fit across hospitals, clinics, and healthcare systems in India and internationally. But its sales and marketing operation was running on a legacy CRM infrastructure lacking the reporting depth, lead prioritisation intelligence, and data accuracy needed to support the systematic, scalable sales process that a high-growth healthcare SaaS business required. With limited pipeline visibility and no lead scoring capability, the team was managing a complex sales cycle by intuition rather than data.
The problem
Augnito’s commercial team was experiencing the specific frustrations of a CRM that had grown beyond the capabilities of the platform it was built on — insufficient reporting for sales leadership visibility, no lead scoring or prioritisation to guide effort allocation, and data accuracy challenges from a legacy migration introducing duplicates and inconsistencies. The business needed a complete CRM re-platforming to give its sales and marketing teams the intelligence needed to operate at the level of quality and precision that a competitive healthcare AI market demanded.
- Existing CRM Lacking Robust Reporting for Healthcare SaaS Pipeline Visibility — The legacy CRM provided insufficient reporting capabilities for sales leadership to maintain accurate, real-time visibility into pipeline health, stage conversion rates, and revenue forecast accuracy. Decision-making was compromised by the absence of the granular, configurable reporting needed to manage a complex B2B healthcare AI sales cycle across India and global markets.
- No Lead Scoring or Prioritisation Causing Missed Healthcare AI Opportunities — Without lead scoring or intelligent prioritisation, sales representatives were allocating effort across the full lead pipeline without data-driven guidance about which opportunities represented the highest conversion probability. High-potential leads — particularly within health system accounts and large hospital groups — were not consistently receiving disproportionate attention.
- Data Accuracy Challenges from Legacy CRM System Migration — The data landscape inherited from the legacy CRM contained duplicates, inconsistencies, and unmapped records that were reducing the reliability of the new platform’s reporting from the moment of go-live. Without rigorous data cleansing and migration validation, the new CRM’s analytical capabilities would be undermined by the quality of the data they were built on.
OUR SOLUTION
Worxwide implemented Zoho CRM with tailored modules, automated workflows, and custom reports designed for Augnito’s healthcare AI sales and marketing teams. Advanced lead scoring rules were built using automation and multi-variable qualification logic to prioritise hot leads and align sales effort with conversion probability. Historical data was migrated from the legacy platform through a rigorous cleansing, deduplication, and field mapping process ensuring the integrity of the new CRM from day one.
- Tailored Zoho CRM Modules and Workflows for Healthcare AI SaaS Sales — A Zoho CRM implementation customised specifically for Augnito’s healthcare AI sales process — with modules, opportunity stages, and workflow automations reflecting the specific buying journey, stakeholder landscape, and commercial cycle of clinical documentation technology sales in hospital and health system accounts across India.
- Advanced Multi-Variable Lead Scoring with Qualification Automation — Lead scoring rules were built across multiple qualification variables — including account type, decision-maker engagement, product fit indicators, and behavioural signals — with automation ensuring that high-scoring healthcare AI leads were surfaced to sales representatives at the moment of highest conversion probability.
Rigorous Data Migration with Cleansing, Deduplication, and Field Mapping — A structured data migration programme — encompassing deduplication, field mapping validation, and data quality auditing — ensured that the new Zoho CRM was populated with clean, accurate data from day one, preserving the analytical integrity making the platform’s reporting and scoring capabilities commercially valuable
Our work in action
The Impact
25% Higher Lead-to-Opportunity Conversion for Augnito's Sales Team
Advanced lead scoring and intelligent prioritisation drove a 25% improvement in lead-to-opportunity conversion — demonstrating that directing sales effort toward the highest-probability healthcare AI leads generated a proportionally better commercial return than the undifferentiated approach the legacy system had supported.
35% Faster Lead Response Time Through Automated Scoring
Automated lead scoring alerts and prioritised lead queues reduced the average time between lead qualification and first sales contact by 35% — improving the commercial impact of Augnito’s inbound lead generation investment by ensuring high-intent prospects received timely, informed engagement.
Improved Pipeline Visibility and Forecast Accuracy for Healthcare AI
Custom reporting dashboards and automated pipeline stage tracking gave sales and marketing leadership the real-time visibility needed to make accurate revenue forecasts, identify conversion bottlenecks, and make data-driven decisions about resource allocation across the healthcare AI sales pipeline.
