The Challenge: Our accounts team spent hours manually processing receipts and entering data into spreadsheets. This process was tedious and error-prone.
The Solution: We built an AI agent in Microsoft Teams. It automatically extracts vendor, date, and amount from receipt photos and populates the expense sheet.
The Result: 90% reduction in manual data entry time and a significant decrease in human error, freeing the finance team for higher-value analysis.
The Challenge: A national logistics client was overwhelmed with "Where is my order?" support tickets, which led to long wait times and low customer satisfaction.
The Solution: We deployed an AI agent that connects to their live tracking system and CRM. It provides instant, accurate shipment status updates via chat 24/7.
The Result: Over 60% reduction in L1 support tickets and a measurable improvement in customer satisfaction scores (CSAT).
A chatbot can answer questions based on a script. An AI Agent can take action. It's an autonomous system that can understand a goal, create a plan, and use tools (like your CRM or email) to complete complex, multi-step tasks from start to finish.
Most clients see a positive ROI within 6-12 months. Savings come from reduced labour costs, faster operations, fewer errors, and scaling without new headcount.
We can deliver a Proof of Concept (PoC) to show value in as little as 2-4 weeks. A full enterprise deployment usually takes 2-3 months, depending on the complexity of the workflow.
AI Agents go beyond RPA. They can handle unstructured data, make contextual decisions, and manage complex multi-step workflows.
Security is our foundation. Agents are deployed in your own secure cloud (VPC), all data is encrypted, and we use strict Role-Based Access Controls (RBAC). Your company data is never used to train any public AI models.
