Customer Background

CutKilo is a UK-based, doctor-led weight management programme delivering personalised, medically supervised treatment integrating medication, nutrition planning, lifestyle guidance, and clinical oversight. Rising demand for GLP-1/GIP treatments prompted CutKilo to explore a scalable way to support patient enquiries and streamline appointment scheduling. Cognetiks Consulting was engaged to modernize patient engagement workflows using AI and AWS.

The Customer Problem

High volumes of repetitive patient questions about treatments, pricing, and eligibility slowed down service delivery. Appointment scheduling relied heavily on staff, limiting availability and predictability, especially outside business hours. The lack of automation meant CutKilo could not provide consistent, scalable, 24/7 patient engagement, while ensuring secure handling of sensitive patient data.

The Challenge

Discovery & Assessment

Solution (Architecture & Implementation)

Cognetiks implemented an AI-powered assistant on a secure, serverless AWS architecture. The platform automates patient conversations and consultation scheduling while maintaining healthcare-grade security.

Key capabilities include automated responses to FAQs, guided booking flows, and 24/7 availability. The solution integrates seamlessly with CutKilo’s internal workflows, ensuring patients experience faster, consistent service without impacting clinical operations.

AWS services and technologies used include Amazon Bedrock for conversational AI, AWS Lambda for serverless execution, Amazon S3 for knowledge-base storage, IAM and KMS for secure access and encryption, CloudTrail for audit logging, CloudWatch for observability, and LangChain & AgentCore for prompt handling and workflow orchestration. CI/CD deployment ensured uninterrupted service availability.

Optimization & Ongoing Management

CutKilo’s team received training and operational guidance to manage and refine the system independently. Monitoring dashboards, workflow management guidelines, and processes for updating appointment logic and conversational flows ensure long-term self-sufficiency and adaptability as patient demand grows.

Measurable Business Impact

The platform has improved patient engagement and operational efficiency by enabling faster responses, consistent interactions, and smoother appointment scheduling. Staff workload has decreased significantly, and 24/7 engagement is now possible without additional human resources. The system scales effortlessly with increasing demand.

Customer Experience Improvement

Patients can now receive instant answers and book consultations anytime, improving clarity and reducing waiting times. Staff can focus on clinical care rather than repetitive administrative tasks. The AI-driven workflow enhances both patient satisfaction and operational efficiency.

Why This Case Represents Innovation

This engagement demonstrates the seamless integration of conversational AI, workflow automation, and secure cloud architecture to transform patient engagement. By replacing manual processes with a reliable, scalable AI-driven workflow, CutKilo now delivers enhanced patient experience while maintaining healthcare compliance—laying a strong foundation for future digital innovation in medical weight-loss programmes.