Back
Software Architecture, Development and Deployment
CallOps
Automating Tier 1 Call Centre Queries at scale.
Overview
CallOps is an AI voice API platform built to automate Tier 1 call centre queries at scale. The platform enables enterprises and BPOs to deploy intelligent voice agents capable of handling high-volume, repetitive customer interactions such as FAQs, account lookups, status updates, and basic support requests. By combining advanced speech recognition, natural language understanding, and real-time voice synthesis, CallOps reduces operational costs, improves response times, and allows human agents to focus on higher-value conversations.
Role
We led the full design and development of CallOps’ website using Framer, with the goal of clearly communicating the platform’s enterprise value while maintaining a modern, technical aesthetic. Our responsibilities included designing the user interface, structuring content for both technical and non-technical audiences, developing responsive layouts, and implementing interactive elements that demonstrate how CallOps automates call centre operations at scale.
Challenge
The key challenge was translating a complex, infrastructure-level AI voice platform into a clear and compelling digital narrative. The website needed to explain how CallOps integrates into existing call centre stacks, automates Tier 1 queries reliably, and scales across thousands of concurrent calls — all without overwhelming visitors with technical complexity. At the same time, the site had to resonate with two distinct audiences: technical teams evaluating APIs and business decision-makers focused on efficiency, cost reduction, and customer experience.
Solution
To address these challenges, we designed and built a Framer-based website that balances technical depth with clarity and strong visual communication. Key elements of the solution included:
Clear, outcome-driven messaging focused on Tier 1 automation, cost savings, and operational scalability.
Visual flows illustrating how incoming calls are routed, understood, and resolved by AI voice agents.
Structured API and integration sections that speak directly to developers without alienating non-technical stakeholders.
Use-case driven sections highlighting common call centre scenarios such as support queries, inbound sales, and customer verification.
Responsive, performance-optimised design ensuring a seamless experience across desktop and mobile.
Interactive and animated elements that reinforce the real-time nature of voice automation without adding friction.
The final result is a clean, enterprise-ready product that positions CallOps as a powerful AI voice infrastructure layer for modern call centres. The experience clearly communicates scale, reliability, and efficiency — reflecting the platform’s ability to automate high-volume customer interactions while elevating overall service quality.

