Set-up cost

A one-time cost evaluated post-meeting.

Requirement analysis

💻 Initial consultation: We begin with a comprehensive consultation to understand your business model, target audience, and the specific challenges you're facing. This step ensures we align the AI assistant’s capabilities with your unique goals.

⚡ Functionality identification: We work with you to pinpoint the essential tasks the AI assistant should perform (e.g., customer inquiries, appointment scheduling, order processing), as well as how it can improve your current workflow.

🕹 Integration and feature mapping: Once the primary functions are clear, we outline the necessary integrations (CRM, phone systems, etc.) and any specific features you want, creating a blueprint for the AI’s development.

Model design

🎭 Personality and voice development: We design the AI’s personality, tone, and communication style to reflect your brand’s identity.

👤 User interaction design: We create detailed conversation flows, ensuring that the AI provides smooth and intuitive interactions. This includes developing responses for various customer scenarios and scripting how the assistant handles queries, escalations, or booking processes.

📐 Functional architecture: After defining the user experience, we design the technical framework of the assistant, detailing how it will handle core tasks (e.g., capturing customer details, managing real-time requests) while maintaining efficiency and accuracy.

Infrastructure built

📡 System and server configuration: We set up the necessary server architecture and backend infrastructure, ensuring that the AI can operate at scale, handle large volumes of data, and manage real-time interactions without downtime.

🖇️ Integration set-up: We connect the AI with your existing platforms, whether it’s a CRM, a customer service dashboard, or any other tool you’re using. This ensures a seamless flow of data between your systems and the AI for uninterrupted performance.

🔐 Security and compliance implementation: We build robust security measures into the infrastructure, such as encryption and access controls, ensuring data privacy.

Quality approval

🔬 Internal testing and simulations: We conduct rigorous internal tests, simulating real-life scenarios to ensure the AI responds accurately and performs efficiently in various situations.

🛠️ Optimization and fine-tuning: Based on the test results, we refine the AI's behaviour, adjusting responses, interaction flows, and any other functional aspects that need improvement.

🔎 Client review: We present the AI to you for a thorough review, allowing you to experience its functionality firsthand and provide feedback before giving the final approval for deployment.

Deployment

🚀 Final launch and rollout: We deploy the AI assistant into your live environment, ensuring it’s fully functional and accessible across your business channels (phone, chat, or other interfaces).

⏩ Post-deployment monitoring: During the initial rollout, we actively monitor the assistant’s performance, gathering data on its interactions and addressing any early-stage issues to ensure smooth operation.

✈️ Onboarding: We provide your team with training materials and support to help them understand how to manage and utilize the AI effectively, including accessing analytics, reviewing conversations, and making adjustments.