1 → 14
people working with AI after eight sessions over four weeks. The team built 9 agents of its own; tasks that used to take a day now take minutes.
Case studies
Results, measured before and after
Every project starts by recording the current numbers and ends by measuring them again. Here are the ones we can publish — one with the client’s name, the rest under NDA with the figures intact.
Published with nameImLink
Under NDA6 projects, figures published
01With the client’s name
ImLink
What we did
AI Transformation Programme, phase 02: eight training sessions on ImLink’s own documents and tasks, two a week, recorded, with an entry test and a mirror test at the end.
Published with ImLink’s permission.
02Under NDA
Figures we can publish, names we can’t
Under NDA
Graph RAG company brain
−70–80%
time spent searching, with over 1,000 messages from Slack, Telegram and Drive turned into an accurate knowledge layer. A Telegram bot as the interface.
Under NDA
Meeting intelligence pipeline
−80–90%
post-call processing: transcripts structured into summaries and tasks, pushed to the CRM and a channel, no manual entry.
Under NDA
Internal process automation
−60–70%
manual workload, 8–12 hours a week saved per employee through data sync, event triggers and automatic internal communications.
Under NDA
Sales proposal assistant
−70–90%
proposal preparation time for a payments company, with pricing logic standardised and calculation errors removed.
Under NDA
Content engine
−70–80%
content production time: from source monitoring to drafts and a content calendar, delivered on a schedule.
Under NDA
Financial analytics system
60% → 80%
customer retention in two months: 15+ metrics, cohort analysis, churn risk signals and revenue forecasts instead of raw dashboards.
Measured before and after on each project. Names and sectors are withheld at the clients’ request.
Want your own before-and-after?
Book a call. We’ll record your current numbers first and tell you what a similar project returned.