Expansion Orchestrator
Identifies and recommends expansion opportunities
Monitor usage, identify expansion signals, recommend products, auto-generate proposals
Sales reps miss expansion opportunities because they don't see customer usage patterns or adoption trends. Growth happens silently within customer accounts until it's too late to influence the buying decision. This agentic workflow monitors product usage in real-time, identifies expansion signals (new departments using the product, usage volume increases, feature adoption milestones), recommends complementary products based on usage patterns and industry benchmarks, and auto-generates personalized upsell proposals. The system calculates prospect-specific ROI for each recommendation. Enterprises implementing automatic upsell/cross-sell identification see 30-40% increase in upsell revenue, 20% higher attach rates, and 50% reduction in expansion cycle time. SaaS, technology, and financial services benefit most from usage-driven expansion.
Agent Architecture
Orchestrator monitors usage, identifies opportunities, and generates proposals.
Expansion Orchestrator
Identifies and recommends expansion opportunities
Usage Monitor
Monitors product usage and detects expansion signals
Product Matcher
Recommends products based on usage
Proposal Generator
Generates customized expansion proposals
Monitor product usage by customer
Detect expansion signals
Match usage to product recommendations
Calculate ROI for recommendations
Generate proposals
Track conversion
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Regularly test agents for vulnerabilities (jailbreaks, prompt injection, data exfiltration attempts)
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
AI generating false or fabricated information presented as fact
AI using outdated data that no longer reflects current reality
Inability to verify or cite the original sources of AI-generated information
Lack of proper consent for recording, storing, or processing user interactions
Risks associated with external vendors processing sensitive data
Malicious manipulation of AI behavior through crafted input prompts
These risks should be mitigated through proper governance controls and operational procedures.
Research accounts pre-call, identify decision-makers, map org charts, understand buyer priorities
Track competitors in real-time, auto-update battle cards, deliver sales intelligence to reps
Recommend relevant case studies and content based on buyer stage and pain points
Explore assistive AI tools that Sales teams use to augment these agentic workflows.
Running AI agents in your sales pipeline? Olakai tracks performance, costs, and ROI so you can scale what works.
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