Define the journey
Designed conversational AI pipeline for human-like customer interactions
01 / The challenge
The problem worth solving.
Local businesses receive enquiries across channels while trying to run their day. AIDesk explores how reception, customer records and follow-up can work together in one application.
02 / Kliqnet’s contribution
What we brought to the project.
- Built AI receptionist with natural-language conversation handling
- Developed smart booking system with availability management and calendar sync
- Implemented unified inbox aggregating SMS, email, and live chat
- Created CRM with automatic contact enrichment and audience segmentation
- Built automation engine for welcome messages, follow-ups, and review requests
- Designed funnel builder for landing pages and lead capture
- Developed real-time analytics dashboard
03 / The experience
How the work connects.
Shape the experience
Built event-driven automation engine with configurable triggers
04 / A considered decision
The thinking behind the build.
Making AI conversations feel natural and context-aware. Designed a multi-turn conversation engine with context retention and fallback routing.
05 / What was delivered
A concrete result.
A product design and application structure connecting reception, customer records, booking and follow-up. Further rollout depends on the selected communication providers and business configuration.
In Development
Product development. Channel availability and operational setup depend on the intended business and provider configuration.
Case study updated 8 September 2026.
06 / A closer look
