What We Build

Challenge: Launch new product with limited market data

Solution: Built agentic system that continuously monitors competitor pricing, feature updates, and customer sentiment

Real Impact: Leadership team now makes product decisions based on real-time competitive data instead of quarterly guesswork. Product positioning shifts happen within days of market changes, not months.

Challenge: Sales team spending hours manually researching each lead

Solution: Created AI agent workforce that scores leads, researches prospects, and identifies optimal engagement approaches

Real Impact: Sales reps now spend their time on qualified conversations instead of research. Each prospect interaction is informed by comprehensive background intelligence that would have taken hours to compile manually.

Challenge: Customer success managers juggling manual check-ins across 200+ accounts

Solution: Designed agentic system managing customer health monitoring, proactive outreach, and expansion opportunity identification

Real Impact: Customer success team shifted from reactive firefighting to proactive relationship building. At-risk accounts are identified and addressed before problems escalate to cancellation conversations.

Challenge: Strategic goals tracked in quarterly spreadsheets with no real-time visibility

Solution: Built interactive strategic scorecard with automated progress tracking across 12 facilities

Real Impact: Leadership team now sees goal progress in real-time instead of waiting for quarterly reports. Department heads track their contributions to organizational objectives daily rather than hoping they're aligned.

Challenge: Compliance team manually monitoring regulatory changes across multiple jurisdictions

Solution: Created intelligent agent system that monitors regulations, flags relevant changes, and updates internal procedures

Real Impact: Compliance team transformed from reactive regulation followers to proactive risk managers. They now identify regulatory trends before they become requirements, instead of scrambling to meet new mandates.

Challenge: Quality control team manually checking production data and inventory levels

Solution: Deployed specialized agent workforce managing supply chain monitoring, quality metrics analysis, and predictive maintenance scheduling

Real Impact: Operations team shifted from reactive problem-solving to predictive optimization. Equipment maintenance happens before failures occur, and quality issues are caught in real-time rather than discovered during end-of-batch testing.