AI Automation & AI Agents for Business | GUTMAN.TECHSkip to content
GUTMAN.TECH
AI automation & agents

AI systems that answer every lead in minutes.

I design the agent, the automation behind it and the CRM integration, and run all of it on the tools you already have. First system live in 5 to 10 days.

Book a strategy callView case studies

A 30-minute call that ends with a map of what to automate first and what it costs. Nobody walks you through a deck.

30+
Systems shipped

Retrieval agents, payment guards, omnichannel desks, marketplace sync.

5-10
Days to live

It runs on your traffic inside the first week.

10 min
Reply time

Down from 2-3 days at an auto-parts retailer, measured in their own analytics.

50/50
Payment split

Half at start, half when the system runs on your traffic.

Real results

Ten minutes instead of three days. Conversion up 75%.

You already paid for the traffic. The agent picks up the inquiry in seconds, qualifies it, books the call and chases the ones who went quiet, so the deal stops going to whoever replied first.

View full case study
2-3 days → 10 min
Average response time
+75%
Conversion rate

From lead to purchase

-60%
Manager workload

Less routine, more focus

  • New lead from website10:24

    Interested in your service. Can you tell me more?

  • AI agent10:25

    Thanks for your interest. I'd be happy to help.

  • Deal created in CRM10:26

    Lead → Qualified

Figures from the client's own analytics over the first month of operation, e-commerce auto parts deployment.

How one lead moves

A single inquiry, end to end, in under two minutes.

This is the path a message takes once the system is live. Every step is something the agent does on its own.

  1. 0 sec

    Inquiry arrives

    From the website form, WhatsApp or Telegram. All three land in one place.

  2. 10 sec

    Agent reads intent

    Pulls the answer from your catalogue, price list and documents.

  3. 40 sec

    Qualifies

    Asks budget, timing and fit, the way a good manager would.

  4. 1 min

    Writes to CRM

    Creates the deal with the full conversation attached, deduplicated by phone.

  5. 2 min

    Books the call

    Offers slots from your calendar and confirms the meeting.

  6. day 2

    Follows up

    Returns to anyone who went quiet, without a human remembering to.

A human takes over the moment the conversation leaves what the agent is sure about.

Why speed converts

The first minutes decide who gets the deal.

The money leaks between the inquiry arriving and a human seeing it. Three published findings on what that gap costs:

  • ×21

    Higher odds of qualifying a lead when you answer within 5 minutes instead of 30.

    MIT / InsideSales, 2007

  • 78%

    Of deals go to the company that responds first.

    Harvard Business Review, 2011

  • -80%

    Drop in lead quality after just 5 minutes of silence.

    Lead Response Management

The five-minute window

Answer in five minutes and you are twenty-one times more likely to qualify the lead.

The same inquiry, the same team, the only difference is how long it waited. Published odds of reaching and qualifying a lead:

Replied within 5 minutes×21
Replied after 30 minutes×1
MIT / InsideSales lead response study, 2007
Odds of qualifying a lead by response delay
Replied within 5 minutes×21 × odds of qualifying
Replied after 30 minutes×1 × odds of qualifying
Same inquiry, two paths

Where the manual path loses people.

Nothing here is a percentage we invented. It is the difference in the number of places a lead can fall out.

Handled by hand

  1. Inquiry lands in one of four inboxes
  2. Waits for someone to open that inbox
  3. Answered during working hours only
  4. Qualifying questions asked if there is time
  5. Retyped into the CRM by hand
  6. Followed up if someone remembers

Handled by the system

  1. Every channel lands in one place
  2. Answered in seconds, any hour
  3. Same qualifying questions every time
  4. Deal written to CRM automatically
  5. Follow-up fires on its own
  6. Human takes over when it matters
Selected work

Four systems, four industries, numbers from the clients.

Every project below was designed, built and deployed end to end. Metrics come from client analytics.

E-commerce · Auto parts

AI sales agent over a catalogue of thousands of SKUs

Customers asked about stock and fitment for a specific car model. Managers could not keep up and replied in 2-3 days. Nights and weekends went unanswered, so inquiries went to competitors.

An AI agent with RAG search across the catalogue answers stock, price and compatibility instantly, clarifies the configuration and suggests an original part or an equivalent. Trigger rules route the conversation to a human and create the deal in Bitrix24.

  • AI Agent
  • RAG
  • Telegram
  • Website
  • Bitrix24
2-3 days → 10 min
Response time
+75%
Conversion to order
-60%
Manager workload

  • Education

    Enrolment agent for a course launch

    The agent closes standard questions, guides the student through the funnel to payment and hands over only the cases that need a human.

    24/7
    Student response
    up to 70%
    Less routine work
    +10-25%
    Conversion

  • Expert services

    First-touch qualification across three channels

    The agent takes first contact in every channel, qualifies the request and passes on only warm, pre-briefed clients.

    24/7
    Inquiry handling
    -65%
    Less routine work
    +22%
    Warm leads

  • Service center

    Intake and repair-status assistant

    The agent accepts requests, answers on timelines and status, and removes the repetitive load from the reception team.

    24/7
    Request intake
    -50%
    Admin workload
    +19%
    Faster processing
Auto partsOnline schoolsE-commerceClinicsService centersExpertsReal estateProfessional servicesAuto partsOnline schoolsE-commerceClinicsService centersExpertsReal estateProfessional services
What I actually ship

Systems that are running for clients right now.

A sample of what I have designed, built and handed over. Client names are withheld, the engineering is described as built.

  • Retrieval agent

    Sales agent over a catalogue of thousands of SKUs. Vector search answers stock, price and fitment for a specific car model, then writes the deal into Bitrix24.

    • Qdrant
    • RAG
    • Bitrix24

  • Omnichannel desk

    Telegram, VK and WhatsApp landing in one inbox. The agent replies, the operator takes over mid-conversation without losing context.

    • WhatsApp API
    • VK
    • Telegram

  • Payment safety net

    A guard layer between the payment provider and the funnel: idempotent processing, amount reconciliation, retries with backoff, and an alert when an order hangs unpaid.

    • Python
    • Webhooks
    • Alerting

  • Knowledge base

    A dealer support base built from a source PDF: 80 questions across 12 sections. The agent answers from the document only and says so when the answer is not there.

    • Embeddings
    • Vector search

  • Meeting intelligence

    Hundred-minute calls turned into structured reports in Telegram. Long audio is chunked and reduced so it fits provider rate limits without failing.

    • Speech to text
    • Map-reduce

  • Marketplace operations

    Seventeen scenarios keeping prices and product content in sync on a marketplace, including discount bases and quarantine handling.

    • Marketplace API
    • n8n

  • Content pipeline

    Idea to script to approval to publication, with a human approving in one tap from a chat message.

    • LLM
    • Approval flow

  • Lead engine

    A niche landing page, a blog and a quiz all write into one CRM, with deduplication by phone and messenger id so the same person never becomes two leads.

    • PostgreSQL
    • Deduplication

Want this mapped for your funnel?

Thirty minutes, your numbers, a written order of what to automate first.

Book a strategy call
Solutions

The agent talks to the customer, the automation performs the actions, and the integration keeps the result in your systems.

Three parts of one system. Start with any of them, most projects end up running all three.

  • AI Agents

    An agent that answers from your catalogue, price list and documents, asks the qualifying questions a good manager would, and writes the result into your CRM. When it does not know, it says so and hands over. Price from 30,000 ₽.

    Learn more

  • Business Automation

    The work nobody should be doing by hand: copying an order between two systems, chasing a status, retyping a price. I build the path once, with retries and alerts when something upstream breaks. Price from 30,000 ₽.

    Learn more

  • AI Integrations

    Telegram, WhatsApp, the website form and your CRM stop being separate inboxes. One conversation, one record, deduplicated by phone and messenger id so the same person never becomes two leads. Price from 30,000 ₽.

    Learn more

Also built on the same foundation

  • Lead automation
  • Customer support automation
  • Sales automation
  • Content automation
  • Internal AI assistants
  • Knowledge bases
  • CRM automation
  • Custom AI workflows
How it works

In ten days it runs on your traffic.

Four stages, one person accountable for all four. You see working output at every one of them.

  1. 011 call

    Audit

    I walk your funnel with you and find where inquiries stall. You get a written map of what to automate first and a fixed price, and I do not charge for it.

  2. 021-2 days

    Architecture

    Conversation logic, data flow, integration points. You approve it before a line of code exists.

  3. 033-7 days

    Build

    I build and test against real conversations pulled from your own inbox.

  4. 04ongoing

    Launch

    It goes live on your traffic. I watch the real dialogues for the first weeks and tune the logic against them.

Want this mapped for your funnel?

Thirty minutes, your numbers, a written order of what to automate first.

Book a strategy call
Darya Gutman, founder of GUTMAN.TECH
Founder-led

From strategy to deployment, run by one person.

I'm Darya Gutman, founder of GUTMAN.TECH.

I write the architecture, build the agent, connect the CRM and watch the first live dialogues myself. The person you talk to on the first call is the person who ships the system, which is why the timelines on this page are short.

That also sets the limit: I take a small number of projects at a time. If the fit is wrong, I will say so on the first call and turn the project down.

  • 5-10 day launch
  • 50 / 50 payment
  • Fixed price after the audit
  • You talk to the builder
About me
Technology

Your stack stays. What changes is how it works.

Nothing here asks you to migrate. If you already run a CRM and a bot, that shortens the project instead of complicating it.

  • OpenAI
  • Claude
  • n8n
  • Make
  • Telegram
  • WhatsApp
  • Bitrix24
  • Notion
  • Google Workspace
  • PostgreSQL
  • Qdrant
  • REST APIs
Revenue leak

What a slow reply costs you this month.

Two sliders, your own numbers. Most teams underestimate the second one.

Lost revenue

-$12,000

per month

-$144,000

per year

Book a strategy call

An estimate from your own numbers. The exact figure comes after the audit.

FAQ

Questions I get before a project starts.

What kind of businesses do you work with?

E-commerce, online schools, clinics, service centers, real estate and professional services. The common factor is an inbound flow of inquiries that a team handles manually today.

What can an AI agent actually do?

Answer from your catalogue and documents, ask the qualifying questions, help the customer choose between two products, book a call, create the CRM record and follow up on leads that went quiet. It will not invent an answer: when the information is missing from your data, it says so and passes the conversation to a human.

Can you integrate with our existing CRM?

Yes. I set up lead handover, status changes and follow-up logic inside your CRM. Bitrix24 is the one I have integrated most often, and the same approach applies to other CRMs through their APIs.

How long does implementation take?

A focused first system takes 5-7 days. A working setup with extended logic takes 7-10 days. Complex projects with CRM integration and several scenarios take up to 14 days.

Do we need to replace our current tools?

No. The system connects to the channels and tools you already run. If you already have a CRM or a bot, the project gets shorter.

What happens if the agent answers a customer badly?

Every dialogue is logged and readable. In the first weeks after launch I read the real conversations, find where the logic was wrong and fix it. Trigger rules also hand the conversation to a human as soon as it leaves the ground the agent is sure about.

How much does an AI automation project cost?

It depends on the conversation logic, the number of scenarios, the channels and the integrations. You get a fixed figure after the audit call, before any work starts, and it does not move afterwards. Payment is split 50% at start and 50% at launch, so we are both carrying risk until it runs.

Currently accepting new projects

Which part of your day would you hand to a system first?

Tell us what eats the most time right now. On the call you get a map of what can be automated, in what order, and what it costs. If the honest answer is that you do not need this yet, you will hear that too.

Book a strategy callhello@gutman.tech