- Lead loss
- 60% → 15%
- Paid conversion
- 15% → 35%
- Reply time
- 15 min → 30 sec
- Revenue
- +3M ₽/mo
Sheet 1 — master plan
Drawing: business automation roadmap
We implement AI where
it makes money
Process audit, a pilot with measurable KPIs, and ongoing management after launch. You pay for results in numbers, not for technology.
AUDIT — 14 DAYS SALES — ×2.5 · NODE 3.2 REPLY TIME — 30 SEC| Project | Sales automation |
| Stage | Audit → Pilot → Scale → Ongoing |
| Sheet | 1 of 1 · Scale 1:1 |
| By | EDEMIUM |
Table 1 — results specification
Units: the client's money
01
×2.5
online-school sales after deploying an AI tutor
See node 3.2 →
02
+27%
sales-team conversion in two months
See node 3.3 →
03
up to 1000
leads handled per month with zero loss
See node 3.1 →
04
−200K ₽
off the call-center bill every month
See node 3.1 →
NODE 2.0
Failure diagnosis
Tried AI already and it let you down?
A familiar story: the bot answered customers off the mark, the team went back to doing it by hand, and the vendor delivered the project and vanished.
A bad result is a process failure, not a technology failure. We design the system with checkpoints where a human reviews the AI: during the pilot, during scaling, and every month under ongoing management.
That's why our clients' AI still works a year after launch — not just until the warranty letter runs out.
NODE 3.0
Mechanism nodes — assembly drawings
Case studies with numbers, not slide decks
- Sales
- ×2.5
- Questions AI resolves
- 86%
- Homework checks
- 2× faster
- Tutor busywork
- −42%
+27%
The AI reviews 100% of calls instead of a random sample; the manager spends 30 minutes a week instead of 10 hours.
81%
An AI bot collects the data and delivers a personalized plan in 60 seconds. Consultation sales +17%.
25
In the first weeks: list segmentation and personalized outreach, 200–300 emails a day.
−30%
The AI turns the owner's drafts and voice notes into ready-to-publish posts in the brand voice.
30
Auto-parsing of 25 national sources, AI rewrite, auto-publishing to the site and social media.
Your industry is the next line here.
Get your automation roadmap
NODE 4.0
Implementation line — main assembly
How we work
Four stages. After each one: a clear deliverable and a decision on whether to go further.
-
01 · MAGNIFIER
Audit — 14 days
We break down your processes and find where money leaks. You get a map of 5–10 processes with savings calculated in rubles. The fee is fixed before we start.
- Timeline
- 14 days
- Deliverable
- A map of 5–10 processes with savings calculated in rubles
- Fee
- Fixed before we start
-
02 · TEST BENCH
Pilot — 30 days
We automate the one process with the fastest payoff. We measure before/after KPIs together. If the pilot misses the metric, we don't scale — that's your exit point.
- Timeline
- 30 days
- Deliverable
- Before/after KPI measurement — together with you
- Exit point
- If the pilot misses the metric, we don't scale
-
03 · SHOP FLOOR
Scale
We roll out to adjacent processes — only what proved its numbers in the pilot. Prioritized by payback.
- Principle
- Only what proved its numbers in the pilot
- Priority
- By payback — adjacent processes in turn
-
04 · CONTROL PANEL
Ongoing management
Monitoring and alerts, development hours every month, a report in numbers: how much was saved and how much was sold. A vendor delivers the bot and vanishes — we stay and own the metrics.
- Format
- Monthly: monitoring, alerts, development hours
- Deliverable
- A report in numbers: how much was saved and how much was sold
SHEET 2
Legend
90+ services already in production
We reuse our own battle-tested infrastructure instead of building every project from scratch. That's why a pilot takes weeks, not months.
Legend: standard nodes, ready to install
- 01 Voice AI agents for outbound calls NOTECalling and qualifying leads instead of a call center. In node 3.1 this is −200K ₽ off the call-center bill every month.
- 02 Sales bots in WhatsApp and Telegram NOTEFirst-response consultation and follow-up sequences. In node 3.1 we raised conversion to payment from 15% to 35%.
- 03 Call analysis and quality control NOTEThe AI reviews 100% of calls instead of a random sample. Node 3.3: +27% sales-team conversion.
- 04 BI dashboards: sales, inventory, finance NOTEEvery number on one screen: the manager spends 30 minutes a week instead of 10 hours, like in node 3.3.
- 05 Email outreach with AI reply classification NOTEList segmentation and personalized outreach, 200–300 emails a day. Node 3.5: 25 investor calls per startup.
- 06 CRM integrations: Bitrix24, amoCRM NOTEEvery inquiry channel in a single CRM. Node 3.1: lead loss dropped from 60% to 15%.
- 07 Meeting transcription and summaries NOTEEvery call and meeting turns into a transcript and a summary. The backbone of the quality control in node 3.3.
- 08 Content and media generation NOTEThe owner's drafts and voice notes become posts in the brand voice. Node 3.6: −30% time on content; node 3.7: 30 news items a day.
TITLE BLOCK
Lead engineer
LEAD ENGINEER
| Lead engineer | Vladislav Tereshchenko |
| Role | Founder of Edemium |
| Infrastructure | 90+ services in production |
| Principle | AI shows up in the P&L |
You work directly with the person who builds it
I'm Vladislav, founder of Edemium. No layer of account managers: I run the audit, the solution architecture and the metrics myself, together with a team of engineers and our own infrastructure of 90+ services.
My principle is simple: AI should show up in the P&L, not in a press release.
RTU MIREA · Business Informatics
Business-process optimization and enterprise architecture — a specialized degree
NODE 6.0
Risk protection — checkpoints
How we take your risk off the table
Audit first, implementation money second
You only pay for implementation after you've seen the automation roadmap with the ROI calculation and signed off on the plan.
A pilot with an exit point
30 days, before/after KPI measurement. If the metric isn't hit, you're free to walk.
Contract and data in Russia
Milestone-based payment, an NDA, servers within the Russian jurisdiction.
NODE 7.0
Calculations
How much you lose without automation
A rough estimate from three numbers about your sales team. The precise figure for your processes comes in the audit.
Load the numbers for your industry
inquiries×22 days×loss rate×conversion×AOV
= lost revenue per month
NODE 8.0
Drawing notes
Questions we get
We already tried AI and it didn't work. How are you different?
Usually "it didn't work" means a tool was bolted on without redesigning the process. We start with an audit, build in checkpoints where a human reviews the AI, and stay on for ongoing management — accountable for the numbers every month, not just until the handover.
How much does it cost?
The audit is a fixed fee, known before we start. Implementation is scoped from the audit findings: you see the ROI calculation before you pay for the pilot. Ongoing management is a monthly subscription with development hours and a report.
How soon will we see results?
The automation roadmap in 14 days. A pilot with measured KPIs 30 days after kickoff. In our legal-services case the pilot went live in two weeks and conversion rose from 15% to 35%.
Do we need to understand neural networks?
No. You need to see the report: how much was saved, how much was sold, where the bottleneck is. Everything else is our job.
What about data security?
An NDA before the audit begins, servers within the Russian jurisdiction, and access on a least-privilege basis. Personal-data processing consent is handled under Russian law (152-FZ).
What if AI turns out to be useless in our niche?
That's exactly what the pilot is for: one process, 30 days, a before/after measurement. If the metric isn't hit, you pay only for the pilot and we part ways with no hard feelings. That's more honest than promising miracles.
NODE 9.0
Connection point
AI is already running in your competitors' sales teams
Most will be playing catch-up. The few with a plan will lead. Start with the automation roadmap: 14 days, and you'll know where your money is.
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