- Yugabyte
How Yugabyte built an AI-driven GTM intelligence engine with Lyzr
The problem statement
- GTM teams were spending more time preparing than selling
AEs and SDRs spent hours every week researching accounts, analyzing engagement activity, and preparing outreach before actual customer conversations could begin. The process slowed execution across the organization.
- Account prioritization lacked consistency
Different reps followed different approaches to account planning and prioritization. This created inconsistencies in GTM execution and made it harder to standardize workflows across teams.
- Outreach preparation was highly manual
Sales teams manually created engagement summaries, messaging angles, and outreach sequences for every account. The operational effort reduced the amount of time available for actual selling.
- Leadership teams lacked centralized visibility
As the organization scaled, leadership teams needed better visibility into account prioritization, GTM execution, and workflow adoption across AE and SDR teams.
- How Lyzr solved it ?
- Lyzr implemented an agent-driven inbound SDR system that combined structured knowledge, automated decisioning, and human-in-the-loop controls to manage inbound engagement at scale.
- Lyzr integrated directly with Salesforce, BigQuery, and Apollo to analyze engagement signals, CRM activity, and usage data. The platform automatically surfaced prioritized accounts along with contextual reasoning for every recommendation.
- The platform generated engagement summaries, stakeholder insights, personalized email drafts, and outreach recommendations automatically. This significantly reduced the manual effort required before outbound execution.
- Instead of navigating multiple systems for planning and preparation, GTM teams could move directly from account signals to execution-ready workflows much faster.
- Lyzr introduced a centralized administrative layer that allowed leadership teams to monitor account prioritization, review GTM outputs, and analyze platform usage across the organization.
The outcome
- Faster account prioritization and planning
The implementation reduced the amount of manual effort required for weekly GTM preparation, allowing teams to focus faster on high-priority opportunities.
- Improved personalization at scale
AI-assisted account intelligence and outreach generation helped teams create more contextual outbound engagement without increasing operational workload.
- More consistent GTM execution
Standardized planning and prioritization workflows improved consistency across AE and SDR operations while reducing fragmented execution approaches.
- Better organization-wide GTM visibility
Leadership teams gained centralized visibility into account prioritization, workflow outputs, and platform adoption across the sales organization.
The outcome
Behind the scenes: How Lyzr builds enterprise AI on AWS
How Lyzr handled security?
- Enterprise-grade compliance and governance
Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, enabling secure deployment across enterprise GTM environments.
- Secure enterprise data handling
The platform operates within enterprise-controlled environments, ensuring stronger governance, privacy, and operational control across customer and engagement data.
- Reliable AI-assisted workflows
Lyzr’s reflection framework helps improve response quality and reduce hallucinations across AI-assisted GTM planning and outreach workflows.
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