AI hype doesn't work. Your AI workforce does.
I build and help you direct a bounded AI workforce for one real part of your business. In 4 weeks you get a working system — clear roles for every agent, human review points, and proof it works.
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Max Kolesnikov
AI Deploy Engineer
Watch: Why AI hype fails — and what actually works
Built on tools you already use
Claude
ChatGPT
n8n
Make
Zapier
HubSpot
Google
Notion
Slack
Telegram
WhatsApp
Stripe
AirtableClaudeChatGPTn8nMakeZapierHubSpotGoogleNotionSlackTelegramWhatsAppStripeAirtable15+ yrs
test automation & QA engineering
4 weeks
from brief to a working AI workforce
1 area
we start bounded, not with a “transformation”
100%
of money and customer-facing actions get a human check
Your team works hard. Your systems should too.
Most businesses tried AI tools. Few have anything actually running. Sound familiar?
Leads wait hours for a reply — and buy from whoever answered first.
You paid for AI tools, but nobody set them up for how you work.
The same data is typed into inbox, spreadsheet, CRM and invoice — by hand.
Follow-ups depend on someone remembering at 6 pm.
No single honest view of leads, jobs and cash — you rebuild it every Monday.
AI hype vs. a bounded AI workforce
Same technology, two very different outcomes. The difference is who owns it and how it's tested.
AI hype
- a dozen tools, no owner
- prompts that work once, then break
- nobody checks the output
- “transform everything” projects that never ship
Bounded AI workforce
- one clear area of the business
- each agent has one job and a written role
- human review points where mistakes cost money
- tested, measured, with evidence before handoff
From a clear brief to a working system — in three moves
We start where the hours actually go, build one bounded piece properly, then keep it running.
AI Efficiency Audit
Map how work really moves, find the highest-value opportunities, estimate hours saved, flag where AI is a poor fit. Ends with a 30-day roadmap.
4-Week AI Workforce Build
I design and deploy agents for one bounded area, connect your existing tools, set guardrails and review points, test everything (QA is my background), train your team.
Ongoing AI Operations
Monitoring, error handling, improvements, new workflows as you grow.
No fixed price list. Every engagement is scoped to your business, your tools and your pace.
Book a free callFour weeks, four clear steps
You always know what's happening this week, what's next, and what's done.
- 1
Week 1
Brief & map
Pick one area, map the workflow, define what “done” looks like.
- 2
Week 2
Roles & guardrails
Design each agent's job, inputs, outputs and where a human approves.
- 3
Week 3
Build & connect
Deploy agents into your real tools, run on real cases.
- 4
Week 4
Test, evidence, handoff
QA-style testing, a results report, team training, documentation.
The AI Efficiency Audit
It starts with a 60–90 min discovery call where we walk through a normal week. Priority goes to work that is frequent, time-consuming, repeatable and low-risk.
- 1
People
Who does what, and where the hours actually go.
- 2
Processes
How work really moves from first contact to done.
- 3
Problems
Where things stall, break or get retyped.
- 4
Opportunities
Where an AI workforce carries real load — and where it doesn't.
- 5
ROI
Hours saved, revenue unlocked, effort to implement.
What you receive
- Workflow map
- Top 10 opportunities ranked
- Time saved per workflow
- Revenue opportunities
- Implementation difficulty
- AI & security risks in plain words
- 30-day roadmap
- Top 3 automations to start with
Yours to keep, whether or not we work together after.
Book a free callWhat your AI workforce can do
Eight proven starting points. We pick the one where the hours actually go — not a bigger list than you need.
AI Business Brain
One knowledge base of your offers, prices, FAQ, audience and brand voice. Every agent works from it.
AI Sales Assistant (speed-to-lead)
Answers every lead in minutes, qualifies, books the call, hands off to a human when needed.
AI-ready website + conversion audit
Fast mobile site built with AI plus a before/after conversion review.
Content engine
One idea becomes 30 days of posts in your brand voice, reviewed before publishing.
AI workflows (trigger → AI → action)
Reminders, follow-ups, review requests, reports. Tested like production software.
Reviews & case-story engine
Collect customer stories and show the right one to the right visitor.
AI team for back office
Agents for research, reports, scheduling and support, once the first layer runs.
AI CEO dashboard
Key numbers on one screen and “3 things that need you today”.
Anything touching money or people gets a human in the loop by design.
A local clinic, before and after
Illustrative example of the kind of change I design — not a promise of a specific result.
Before
- Inquiries sit in WhatsApp and Instagram DMs for hours
- Admin copies details into a spreadsheet
- No follow-up after a consultation
- Reviews requested randomly
- Owner doesn't know weekly lead numbers
After
- Every inquiry gets a reply in minutes in the clinic's voice
- Lead and booking created automatically
- Follow-up sequence stops when the patient replies
- Review request sent after each visit
- Monday report with leads, bookings and no-shows
The point isn't the technology. Admin time drops, customers hear back faster, nothing depends on memory.
Why trust a QA engineer with your AI
At Valguard Security I built a Test Impact Analysis system that cut test runs from 45 to 12 minutes while keeping 95%+ API coverage across 200+ endpoints.
I bring the same discipline to AI agents: define what correct looks like, test it, prove it, then hand it over.
Client story coming soon
Real results, no invented numbers
Client story coming soon
Real results, no invented numbers
Client story coming soon
Real results, no invented numbers
AI agents, explained in plain language
Short, honest explainers. No hype, no screenshots of robot heads.
Hi, I'm Max.
Photo placeholder — real photo coming soon
I'm an AI Deploy Engineer with 15+ years in QA and test automation — Python, Playwright, APIs, CI/CD. Before AI became the thing everyone talks about, my job was making complex systems reliable. That's exactly what most AI projects are missing.
I won't prompt ChatGPT at you. I look at how your business really runs, pick the places where an AI workforce carries the load better than people retyping things, and build it properly — tested, with humans in control. I'll also tell you when AI is the wrong answer.
Let's find one useful place to start.
Tell me what's eating the most time. If AI can help, I'll say so. If it can't yet, I'll tell you that too.
Prefer to chat?
Usually replies within one working day, Manila time. Wherever you are, the call adapts to your hours.