AI Agents: your digital workers.

Problem: The support team was overwhelmed with repetitive requests, leading to a 48h delay in answering complex technical issues. Customers were leaving due to slow response times.

Solution: We deployed a Customer Success Agent with full access to the documentation and CRM. The agent handles 80% of incoming tickets autonomously, from troubleshooting to issuing credits. Result: Instant support 24/7/365 and a 40% increase in customer satisfaction scores within two months.

Problem: Sales reps spent 70% of their time researching companies and finding contacts on LinkedIn instead of selling. This limited the number of demos they could book.

Solution: We implemented a Sales Agent that searches for 50 new ideal companies daily and prepares personalized outreach drafts. The agent also handles initial follow-ups. Result: 3x more booked meetings monthly and reps now spend 100% of their time in sales calls.

Problem: A specialized B2B firm struggled to maintain a consistent presence on LinkedIn and its blog due to lack of time for technical writing.

Solution: We trained a Content Agent on the company's past webinars and technical papers. The agent now monitors industry news and publishes 3 high-quality posts and 1 blog article weekly. Result: Constant social media presence without human effort and a 200% increase in inbound leads from LinkedIn.

Problem: An e-commerce brand was losing margin because competitors changed prices faster than their team could monitor manually.

Solution: We deployed a Research Agent that tracks 20 competitor portals 24/7 and analyzes price trends. The agent suggests price adjustments in the ERP based on stock levels and competitor moves. Result: Margin increased by 8% and the team reclaimed 20h of work weekly.

Problem: Internal task management was chaotic; requests from clients via email were often lost or assigned to the wrong people.

Solution: An Operations Agent analyzes every incoming client email and automatically creates a task in Jira with the correct priority and assignee. Result: Reaction time to reports fell by 4 hours, and zero requests have been lost since implementation.

Problem: Critical application errors often went unnoticed until a user reported them, causing significant downtime.

Solution: An IT Agent monitors server logs and error trackers in real-time. It not only alerts the team but also proposes initial code fixes in GitHub by analyzing the error context. Result: 50% faster fixing of critical bugs and improved system stability.