Too much manual work
The team fills spreadsheets, reconciles data, forwards reports and answers the same questions. Manual work eats more hours than growth.
NovaRetailGrowCoNovaCapitalPINGCleanCoProMatchLegalFlowCorpEdu
What we actually solve
AI isn't for the trend. It's for the places where reducing manual load, killing routine and speeding up processes is how the business survives.
No transparency in numbers
Every department looks at its own system. The real picture gets assembled by hand at month-end — decisions are made on stale data.
Systems don't reflect the real process
CRM, ERP, Telegram live in isolation. Staff move data by hand, and decisions happen on different versions of the truth.
Growth depends only on hiring
Every new volume = new hire. The system doesn't scale on its own — it's inflated with people. Growth plans hit the labour market.
Data is scattered
Clients in CRM, finances in ERP, leads in email, files in the cloud. No one — neither executive nor team — sees the whole picture.
AI — unclear how to adopt
There were pilots with ChatGPT, but nothing went to production. No methodology, no owner for the metric, no view on ROI.
Process chaos → agent system
Scroll — watch scattered requests and tools pull into an orchestrated network.
Who this is for
We work with companies where operational efficiency is a question of survival, not of fashion.
Mid-market
Companies with revenue between $3M and $60M, where every inefficiency already shows up in the numbers and hits the margin directly.
Chains and franchises
Multi-location business where standards, data and processes have to be held across 20, 60, 180 locations at once — scale meets manageability.
Operationally complex
Production, logistics, retail, client service — where processes are numerous and wired across dozens of systems and roles.
Companies aimed at growth
The goal: 2—3× in a year without proportionally expanding headcount. It's math, not a slogan — growth without AI hits the hiring ceiling.
Eight departments, hundreds of threads.
Departments work in isolation. Data drowns in chats and spreadsheets. Decisions run on intuition; communication goes through managers.
Artificial intelligence plugs in.
Artificial intelligence reads the context, connects systems and becomes the central nervous system of the business.
Every department — in one system.
Links are clean, processes pass through agents, decisions happen in seconds — not weeks.
Metrics and KPI grow.
Operating cost drops; speed and quality rise. Growth becomes a consequence, not a target.
Sales
28% CR
45 d cycle
28% CR
45 d cycle
Support
48h reply
CSAT 3.2
48h reply
CSAT 3.2
Procurement
14 d cycle
12 err/mo
14 d cycle
12 err/mo
Marketing
30 / mo
CTR 0.8%
30 / mo
CTR 0.8%
Finance
close 7 d
DSO 180
close 7 d
DSO 180
HR
hire 60 d
attr 18%
hire 60 d
attr 18%
Legal
3 d / doc
200 / mo
3 d / doc
200 / mo
Analytics
3 d report
40 dashb.
3 d report
40 dashb.
AI OS
−68%
routine
×3
decisions
×10
content
−57%
DSO
+240%
ROI
01
AI is not a tech demo. It's a working business tool.
02
We take the manual load off — so the team drives growth, not routine.
03
We embed into your systems — not migrate you to new ones.
04
Launch in 1—6 weeks. Accountable for the outcome.
×We don't ship AI just to tick a box.
→We put the agent where it actually moves the process and changes the outcome.
×We don't launch without a clear goal.
→Success metrics and expected ROI are locked before development starts.
×We don't stop at a polished demo.
→We ship into production: real integration, monitoring, SLA.
×We don't lock the client in.
→After launch we hand over the stack, access and full control of the solution.
How we work
From first call to first result — 6 weeks
Short cycles: we ship an effect you can measure, then embed the solution into your working context and grow it from there.
01
Discovery
We dig into your processes, data and current infrastructure. We pinpoint where AI will actually take manual load off, speed things up and deliver a measurable business impact.
02
First launch
We ship the first working solution for a specific task. Straight inside your process and on your data — so the effect is validated in real work, fast.
03
Launch
We integrate into your existing perimeter: CRM, ERP, Telegram, email and internal services. Access set up, team trained, system goes into live operation.
04
Support
We watch quality, retrain models on new data and extend the solution to new scenarios. The system stays stable and grows as your business does.
Diagnosis & analysis
First launch
Integration & launch
Support & growth
Five questions you were about to ask.
Tap a question — the agent answers. This isn't an LLM: just the facts about how we actually work.
↳ What does it cost?
What we do
Compare before you start
Three ways to solve a task with AI. Pick honestly — we'll tell you when you don't need us.
ChatGPT API DIY
In-house team
Aiconic
Open-ended — usually 6+ months of experiments with no predictable outcome.
3—6 months hiring + 3 months to first launch.
6 weeks — written into the contract.
Thousands of $ on API + 2—4 months of your team's time.
~$8k/mo × 6 months = ~$48k before the first launch.
Fixed price, agreed before kick-off. Doesn't move.
On you. ChatGPT doesn't own a business outcome.
On you — you hired, you manage, you own the result.
On us. Metric doesn't move — we refund the fixed fee.
You maintain and grow it yourself.
Team on payroll — fixed cost regardless of load.
Separate SLA contract with clear monthly fee.
Yours from day one.
Yours — you paid for the salaries.
Yours from day one. Stack handover written into the contract.
Only the API provider (OpenAI/Anthropic).
Lock-in to people — turnover = project risk.
None. After launch, work with anyone — no rebuild.
Simple task, you have an AI engineer in-house, fine with 3—6 months of experiments and undefined ROI.
AI is a 2+ year strategy, you need a permanent team, OK with the fixed payroll cost.
You need a predictable 6-week launch: fixed price, money-back guarantee, full stack handover.
ChatGPT API DIY
- Open-ended — usually 6+ months of experiments with no predictable outcome.
- Thousands of $ on API + 2—4 months of your team's time.
- On you. ChatGPT doesn't own a business outcome.
- You maintain and grow it yourself.
- Yours from day one.
- Only the API provider (OpenAI/Anthropic).
- Simple task, you have an AI engineer in-house, fine with 3—6 months of experiments and undefined ROI.
In-house team
- 3—6 months hiring + 3 months to first launch.
- ~$8k/mo × 6 months = ~$48k before the first launch.
- On you — you hired, you manage, you own the result.
- Team on payroll — fixed cost regardless of load.
- Yours — you paid for the salaries.
- Lock-in to people — turnover = project risk.
- AI is a 2+ year strategy, you need a permanent team, OK with the fixed payroll cost.
Aiconic
- 6 weeks — written into the contract.
- Fixed price, agreed before kick-off. Doesn't move.
- On us. Metric doesn't move — we refund the fixed fee.
- Separate SLA contract with clear monthly fee.
- Yours from day one. Stack handover written into the contract.
- None. After launch, work with anyone — no rebuild.
- You need a predictable 6-week launch: fixed price, money-back guarantee, full stack handover.
OpenAIAnthropicGoogle GeminiMistralLlamaYandexGPTGigaChatT-Bank AIQwenDeepSeekKimiBaidu ErnieZhipu GLMMiniMaxStable DiffusionMidjourneyDALL·EFluxRunwayYOLOWhisperElevenLabs
Яндекс ОблакоVK CloudSelectelBegetSberCloudMTS CloudCloud.ruTimewebMicrosoft AzureAWSGoogle CloudHetznerAlibaba CloudOracle Cloud
Битрикс24amoCRMRetailCRMМегаплан1СSAPМойСкладHubSpotSalesforceTelegramWhatsApp BusinessVKMaxАвитоWildberriesOzonЯндекс МаркетGmailNotionSlackGoogle Workspace
One network. Many agents. One language.
Snapshot of the network. Red nodes are agents; white are systems and data they're wired into.
Selected cases
AI agent system for managing a franchise network
For a 180-location network we deployed a system of 12 AI agents covering sales, support, procurement and marketing — to cut back-office load and bind the processes into a single, manageable model.
−68%
12
−68%
12
6 weeks
3× ROI
Marketing platform with AI agents
We built and shipped an AI system that unifies market and competitor research, audience segmentation, offer crafting, landing-page and creative generation, and performance launches across any acquisition channel. One person runs ×10 the campaigns without losing the brand voice.
×10
−70%
×10
−70%
4 weeks
+240%
Financial analytics with AI
We deployed an AI system that unified financial data from multiple sources, automated management reporting and accelerated CFO decision-making. Instead of stitching reports by hand, the team got a single analytical loop with dashboards, deviations and ready-made conclusions.
3×
−82%
3×
−82%
7
5 weeks
What our clients say
We work with companies that want to grow faster, make sharper decisions, and rely on data rather than guesswork.
Мария Гончарова
«We didn't fire anyone. We just stopped hiring. Back office didn't grow for two quarters — and revenue went up 40%.»
Хенрик Йоханссон
«We stopped losing hours on manual asset assembly and approvals. Agents put a campaign together in minutes — we review and ship.»
Юки Танака
«The weekly report now takes half an hour. The board decides on fresh data, not week-old numbers.»
Growth without hiring is math
AI doesn't replace people. It frees their time for the work that moves the business. Growth without proportional hiring isn't a slogan — it's a measurable gap in the numbers.
of manual operations after AI systems ship
faster decisions and reports on key processes
average time from contract to first launch
new hires needed to double operational volume
The team stops drowning in routine and goes back to what actually moves the business: growth, product and customers — not endlessly copying data from one spreadsheet to another.
What the business gets
Not abstract promises — concrete shifts visible in the numbers and in how the team works, 4—8 weeks after launch.
01
Less manual routine
The team stops copying data, reconciling sheets and repeating the same operations. Routine goes to agents; people move to hard problems.
02
Faster processes
Leads, documents, communications flow through the system in seconds, not hours. Clients wait less; the business reacts faster.
03
Transparent management
One panel across every department. The executive sees where the money is, where the delays are and where the risks are — in real time.
04
Growth without headcount bloat
Volumes double — the team stays the same. Hiring turns from a required function of growth into a deliberate choice.
05
Scalability
Processes built around AI replicate to new locations, markets and teams without a rebuild — the infrastructure is ready to grow.
06
Predictability
Launch in 1—6 weeks, a log on every agent action. You know what you get and at what cost.
Experience and results — in numbers
0
0
0
0 ×
Project complexity × Year
Launch in 1—6 weeks.
How much your business can save with an AI system
Adjust the parameters — we'll show how much capacity an AI system frees up if it takes part of the manual load. This is an estimate based on real projects.
10
180 000 ₽
60%
12 960 000 ₽
Money you can redirect into growth, product and development — not into routine operations.1 080 000 ₽
6.4 mo
38 880 000 ₽
Growth without hiring isn't a slogan — it's math.
Fresh thinking
What people usually ask before we start
Depends on the task. A small automation — tens of thousands of dollars. A linked set of processes or a custom system with AI inside — into the hundreds. We give the exact range after a free review: we look at your processes, data and systems and ship a quote before the first line of code. If the project doesn't pay back — we say so honestly.
AICONIC
Tell us how it all works —
we'll show you where AI delivers real impact.
A 30-minute diagnostic, no slide decks, no vague talk. We map your process, estimate the impact, timeline, and the best way to launch.