Impact archive
Proof, not promises.
Deployment records for AI systems that capture, qualify, route, and recover commercial demand.
- Additional work captured
- ~£10K Reported by Ekron in the first 3 months
- Operating-cost reduction
- 83% Voice-agent deployment
- Inboxes connected
- 16 One routing workflow
Selected deployments
Surveying · Ekron Surveyors
How Ekron Surveyors cut call-handling costs by 83% with an AI receptionist.
The client reported around £10K in additional work/leads captured in the first three months; this is not presented as booked revenue.
Construction materials · MIX-STROY
How MIX-STROY qualifies 100+ leads a day across five inbound channels.
The live workflow handles more than 100 inbound leads per day, giving sales reps structured, ready-to-quote opportunities instead of raw chat threads.
Construction materials · Stroyassortiment
How an AI inbox router connected 16 manufacturing inboxes in two weeks.
The deployment connected 16 inboxes, processed 1,123 emails at an average routing time of 1.2 seconds, and replaced manual department-by-department triage with structured routing.
Real estate · Dubai · Real-estate broker agency
A WhatsApp agent qualifies property enquiries and books viewings into Google Calendar.
A working WhatsApp workflow that turns a property enquiry into a confirmed Google Calendar viewing slot.
Commercial operations · Hobopro
How HoboPro built corporate email infrastructure, then automated the inbox.
A repeatable implementation that starts with reliable email infrastructure, then adds AI-based routing and classification instead of bolting automation onto an unstructured inbox.
Healthtech · Mediann.dev
Technical advisory for a multi-agent nutrition-assistant product.
The product team moved from the need for a nutritionist chat to a tailored multi-agent system design shaped around their requirements.
AI software · Confidential startup
A multi-agent AI receptionist built to work across CRM and booking systems.
A configurable foundation for an AI receptionist across amoCRM, Bitrix24, YClients, Google Calendar, and Yandex Calendar, plus settings interfaces and a simplified codebase.
How to read these cases
What these AI automation case studies cover
These deployments cover AI receptionists, lead qualification, email routing, CRM handoff, booking, and private operational AI. Each case explains the initial bottleneck, the system built, and the available deployment evidence—not just a feature list.
Where a client supplied a commercial outcome, it is clearly labelled as client-reported. Where only technical or operational evidence is available, the case states that limitation rather than inventing a return-on-investment figure.
Start with the case that matches the channel where work is currently being lost: calls, inboxes, messaging conversations, or disconnected CRM records. Then use the linked solution page to understand the broader system behind it.