Half the companies that cut support staff for AI will be rehiring by 2027. See a real case that worked, and what the others got wrong.
Automate 60% of support tickets. Replace no one.
Watch us build an AI employee live on a real case: 40,000 tickets a month, 4 operators, 15-second
- You leave knowing what % of tickets AI can close
- And which ones it must never touch
- And what one resolution actually costs you
88% of customers say AI resolved their issue. Only 22% liked the company communication more afterward. In 90 minutes you'll see exactly where that gap opens, and how to close it.
We take one real support workflow apart, live.
Every AI demo shows the part that works. The costly part is what your customer does when the bot gets it wrong. You'll see that too.
Built live, not on slides
A real support desk handling 40,000 tickets a month, rebuilt in front of you.
The part other demos skip
What happens when the AI can't help. Most customers give up after five exchanges - you'll see how the handoff works.
Your numbers, not ours
Vendors overstate resolution rates by 20-30 points. Bring your ticket volume, leave with a figure you can check.
What one resolution costs
No six-figure contract, no per-seat add-on. Around €0.80 per resolved ticket.
"We already ask our team whether it was a person who answered. That's how natural it sounds."
Real client quote from a live support deployment.
A ticket lands at 3am on a Saturday. Nobody is on shift. It's answered in 15 seconds.
The workflow we build live on the call.
01
Handles order status, delivery and returns - in every channel.
02
Passes complex cases to your team with full context. The customer never repeats themselves.
03
Hands over to a human the moment it's asked, or the moment it's unsure. No loops, no dead ends.
You'll leave able to map this same three-step flow onto your own queue, with the automatable tickets already identified.
40,000 tickets.
4 operators.
15 seconds.
Tickets keep growing. Your best people keep leaving.
60% of your tickets are the same three questions: order status, delivery, returns. Your team answers every one of them, and first reply still takes four hours.
You've already tried one AI tool. It gave generic answers, customers noticed, and you're still telling leadership things are improving without a single number to show.
The workshop is about what you'd need to see before trying again: what to automate, what to leave alone, and the numbers to bring your CFO.
11,500 tickets a day. 60% of them repetitive.
Your team isn't slow. There are just too many of the same questions.
The AI takes the repetitive 60%. Your team takes the rest.
Nobody gets replaced. It plugs into the helpdesk you already use, so there's no migration. We build it in two weeks, not the eight months an in-house bot takes, and you approve how it sounds before a single customer sees it.
You finally get the numbers: what share is automated, how fast it replies, and what one resolution costs. The reporting your CS has never had.
60% of your queue closed in 20 seconds. The other 40% reaches your team with full context.
95% of enterprise AI pilots deliver no measurable result. You'll leave this one with three things you can act on tomorrow.
What you walk away with.
The share of your queue AI can close
An analyst goes through your ticket types and tells you which are safe to automate, which aren't, and what percentage that adds up to.
The cost per resolution, on your volume
Not a price list. What one resolved ticket costs at your monthly volume, next to what it costs you today.
A two-week test with nothing to sign
We build the agent on your real tickets. You see the numbers first, then decide. No migration, no commitment.
Built for the four people who own this decision, and carry the risk if it goes wrong.
Who this workshop is for.
Founder / CEO
Leave with the ROI case and without the reputational risk of an AI-first support story that goes wrong.
Head of CS / Support Director
Leave knowing which 60% you can automate and which tickets your team should keep.
CMO / Head of CX
Leave knowing why 88% resolved turns into only 22% loyal, and what to change before it hits your NPS.
COO / Head of Operations
Leave with a cost per resolution your current reporting can't give you.
$1.5M raised building AI employees for real business workflows. Both founders run the session themselves.
Vyacheslav Shestakovskyi
CEO & Co-founder, Obriy AI
Leads Obriy AI's growth and go-to-market. Opens with the data on who wins with AI in support, and who ends up rehiring.
Dmytro Nosach
COO & Co-founder, Obriy AI
NVIDIA Certified. Builds the AI employee live on the call: a real case with a real handoff, not a pre-recorded demo.
INSIDE our events
OBRIY.ai - Celebrating our 1st anniversary of innovation and growth
Live demo day - GovTech Lab
Viacheslav Shestakovskyi - CEO & Co-founder
Andrii Bobrov - CTO & Co-founder
Dmytro Nosach - COO & Co-founder
90 minutes, free, and you leave with your own numbers.
Automate 60% of your support tickets without replacing a single person.
40,000 tickets a month. 4 operators. 15 seconds. Built live, in 90 minutes.
See it built on a real case, then get the same math on yours.
Free, online, limited seats. You leave with your automatable ticket list, your cost per resolution, and a zero-risk way to test it.