Everyone on the team uses AI their own way — or not at all.
AI adoption · process review · automation
Automation that pays off — and keeps working without the contractor
An outside look at how your company works, AI adoption across the team, and tools you can measure, maintain and extend — without depending on a single person.
For business owners with teams of 5 to 50.
Describe your task ↗
The first call is free.
Dubai, UAE · working with clients worldwide
4+ years of engineering · processes and sales · AI in daily work · integrations
01 / Who it's for
When AI is already there, but the system isn't
Bots and scripts exist, but no one maintains them.
Processes rely on people's memory and chat threads.
No one can say what past implementations actually achieved.
The team is stretched, but it's too early to hire.
02 / An outside view
An outside view
Inside a company, people get used to how things work: extra steps feel normal, and weak spots are awkward to raise — hierarchy, relationships and “we've always done it this way” get in the way. An external specialist isn't part of that system. The owner gets a direct view backed by facts and numbers.
- Sees what the team has got used to and stopped noticing.
- Names uncomfortable things plainly — regardless of titles.
- Conclusions rest on facts and numbers, not opinions.
03 / Principles
Order first. Automation second.
The goal isn't to “do something with AI” but to improve how the business works. Every solution follows five rules.
Measurable
A baseline comes first: how much time and money goes where today. After rollout — the same numbers.
Maintainable
Off-the-shelf tools where they do the job. Custom code only where nothing else works — and always documented.
Not tied to the contractor
Guidelines, instructions and team training. Solutions keep working after the project ends.
No unnecessary spend
Start with what's already in place or costs little. Paid APIs and custom development only once the effect is proven.
Built for what's next
Each solution is a foundation for the next one, not another standalone bot.
04 / Stages
How AI is introduced into a team
Step by step, with no big upfront investment.
- 01
One system
Company-wide AI subscriptions instead of scattered personal accounts. A review of who does what and where the time goes.
- 02
Training on real tasks
Short calls with team members: where exactly AI saves time in their work. No lectures — only their own tasks.
- 03
Processes, together with the owner
End-to-end process review: bottlenecks, what to simplify, what to drop.
- 04
Shared playbooks
Recurring tasks become ready-made instructions and AI skills the whole team uses.
- 05
Custom tools, selectively
Where the effect is proven: API integrations, scripts, classifiers. Or existing products, if they're cheaper.
05 / Beyond AI
Everything that holds results back
The review isn't limited to AI. Anything that affects results is in scope.
Sales
The lead's path from inquiry to deal: scripts, consistency, CRM.
Content
Production and publishing: what works and what can be systematized.
AI search visibility
GEO: how easily ChatGPT, Perplexity and other AI assistants find and recommend the company.
Operations
Tasks, statuses, reporting, moving data between services.
06 / Case
Case: sales department
Before — No sales scripts or guidelines. One person handled all leads and couldn't keep up. No consistency — leads went cold.
Done — Process first: stages, scripts, guidelines. Then automation: lead sourcing, data collection and enrichment, AI-assisted qualification and handoff to the CRM.
Result — Lead handling became consistent. The salesperson now talks to clients instead of searching and sorting.
Company name and figures are under NDA.07 / Technical projects
Technical projects
- Competitor monitoring for a media team: about 2,000 snapshots a day, Telegram alerts on fast-growing videos.
- Thumbnail generation with a fine-tuned model: 600+ images a week.
- Automatic Shorts clipping from long videos with scheduled publishing: best clip — about 500,000 views.
- Telegram CRM for fitness coaches: clients, memberships, reminders.
08 / Getting started
How work begins
- 01
Call — free
Discuss the task and decide whether working together makes sense. If help isn't needed, you'll hear it straight.
- 02
Diagnostics — fixed fee
An external review of processes and how the team uses AI today: interviews with staff, observing the work, data. Output: a written report with bottlenecks, priorities and a numeric baseline.
- 03
Decision — what comes first
Pick the area where the effect can be verified fastest.
- 04
Work — in small steps
Implement, measure, move on to the next area.
09 / Pricing
Pricing
Fixed fee
For diagnostics and clearly scoped work.
Share of results
For example, of sales generated through implemented solutions, or of verified savings. Terms depend on the business model and are agreed after diagnostics.
A combination is possible: base fee plus a percentage.
10 / Engineering background
Why solutions don't fall apart
4+ years of engineering, including software for a fleet of about 2,000 payment terminals in public transport: architecture, monitoring, CI/CD, guidelines, hiring and client work.
Experience with systems that must run for years carries over to automation: documentation, monitoring and handover to the team are part of the job, not an extra.
11 / Boundaries
What you won't get
- Dozens of bots that no one maintains.
- Custom systems only their author can support.
- “AI adoption” with no clear benefit.
- Promises of results before the process is reviewed.
If a task is better solved organizationally or with an existing product, that's what will be proposed.
12 / Contact
Describe your task
What's done manually, where time is lost, how the team uses AI today. Free form — a few paragraphs is enough.
contact@automation-kotii.ru ↗Reply within 1–2 business days.