AI agents that take the repetitive work off your team
Inquiries answered, CRM filled in, documents processed, calls prepared. The first system is live in 2 to 4 weeks, scoped and priced before we start, and tested on your own cases rather than a demo.
from 1.4%
4%
call-to-inquiry conversion
Logistics sales team, pilot
from 10–30 min
2–3 min
to prepare for a call
same build, per rep
from 20 min
15–20 sec
to handle an inbound inquiry
B2B chemical trading
Six systems live in six businesses, with a signed client reference. See the builds behind these numbers
The difference
Most AI agents look great until they meet a real customer
In a demo everything works. Then a real customer asks two things at once, attaches a photo and quotes last year’s price. That is where most AI projects quietly stop being used. We build for that moment, not for the demo.
Why ours keep running
Anyone can demo an agent. Week three is the hard part.
The gap between an AI agent that impresses you in a meeting and one your team still relies on months later is all engineering, and none of it is visible from the outside. Here is what we put in, and what it means for you.
- 01
It never makes up an answer
Every reply is checked against your own data and your own rules before it leaves. When it cannot confirm something, it does not guess — it hands the conversation to a person, with the context they need to pick it up.
Under the hoodGrounded retrieval with source attribution, confidence thresholds, and escalation rules.
- 02
You find out before your customer does
Every conversation is recorded end to end: what it was asked, what it looked up, what it decided, how long it took and what it cost. When something starts going wrong, it shows up on our side first.
Under the hoodFull request tracing with latency, token and cost tracking, plus alerting on error and fallback rates.
- 03
It cannot do more than you let it
The agent gets the narrowest access that lets it do its job. It can read what it needs and do what it is meant to do — and nothing else. Anything it cannot undo waits for a person to approve.
Under the hoodTool-level permissions, role-based access, argument validation, and confirmation gates on irreversible actions.
- 04
A bad day does not become your problem
If one of your systems goes down halfway through a task, the work picks up where it stopped instead of vanishing or starting over. If something loops or runs long, it stops itself rather than quietly burning your budget.
Under the hoodRetries with backoff, durable execution that resumes mid-process, step and spend ceilings, loop detection.
- 05
We can prove it works, in your numbers
Running something a few times and shipping it because it seemed fine is how a lot of AI gets released. We score the system case by case on your real history, and tie that score to the business number it is supposed to move — response time, conversion, hours saved. After launch nothing changes without being re-scored first, and anything that makes it worse is rolled back the same day.
Under the hoodEvaluation sets built from your own history and graded per case, eval scores tracked against business KPIs, versioned prompts and models, regression runs before every release.
- 06
We will tell you when you do not need one
Some of what gets sold as AI is a job for ordinary software: cheaper, faster and more reliable than any agent. If that is your situation, you will hear it from us before you spend money, not after.
Under the hoodRules, a classical model, retrieval or an agent — chosen per task, in that order of preference.
None of this is optional for us. It is the difference between an agent you can put in front of paying customers and one that has to be watched.
Where it pays off
What we build
Four kinds of system, each built around a specific bottleneck. Every one of them is running in a real business right now.
Inquiry & Support Agents
Answered in 15–20 seconds instead of several minutes · live in 2–3 weeks
Requests come in from WhatsApp, Telegram, trading platforms and your website. The agent reads them, answers from your own knowledge base, checks every answer against your rules, fills in the CRM and passes anything unusual to a person. What took a manager several minutes takes seconds.
Sales Enablement & Call Intelligence
40 calls a rep instead of 25, closing 4% instead of 1.4% · live in 3–4 weeks
Your rep opens a call already knowing who they are talking to. The call itself is analysed as it happens, the CRM fills itself in afterwards, and each rep gets specific coaching on what to do differently.
Document & Back-Office Automation
Documents read and entered without manual typing · live in 2–3 weeks
Data pulled out of incoming files, invoices and packing lists generated, inquiries turned into CRM tasks. The document work your managers currently do by hand, done for them.
Outbound & Lead Reactivation
Dormant leads called back and re-qualified · live in 2 weeks
Emails written for each company specifically, not merged from a template. Voice agents that call back the leads who went quiet months ago. Pipeline out of the list you have already paid for.
Case Studies
Real builds. Real numbers.
Six systems, six businesses, and the numbers each one moved.
Sales & Logistics
3x Conversion for a Logistics Sales Team
Three tools in one workflow: prospect research, live call analysis with coaching, and CRM auto-fill. In the pilot, call prep fell from 10-30 min to 2-3 min, calls per rep rose from 25 to 40 a day, and call-to-inquiry conversion moved from 1.4% to 4%.
Stack: Python, LLM APIs, speech-to-text, CRM
B2B Chemical Trading
Compliance-Grade Inquiry Agent
Reads inquiries from messengers and trading platforms and answers from the company knowledge base. Every item is checked against prohibited-substances lists by fixed rules rather than left to the model to judge, so a banned product cannot slip through. Processing went from 20 minutes to 15-20 seconds, and managers now see only warm leads.
Stack: LLM APIs, messenger & CRM integrations, compliance rule engine
Logistics — TRASKO
Document & Inquiry Automation
Three modules for TRASKO Logistics: a document bot that extracts data and generates invoices and packing lists, an inquiry bot that turns messenger requests into CRM tasks, and a recruiting screener. Routine document and inquiry work left the managers' hands entirely. Signed client reference available.
Stack: PDF parsing + LLM, messenger & CRM integrations, Python
Internal Tooling
Enterprise LLM Platform with RBAC
One place where every team can use multiple AI models safely, with a shared prompt library, a workflow builder and usage analytics. Each team has its own permissions and its own spending limit, so nobody can run up a bill or reach data they should not see.
Stack: microservices, OpenAI & Anthropic integrations, Next.js, TypeScript
Outbound
AI Cold Outreach System
An outreach agent that opens each lead's website, works out what the business actually does, and writes a pitch for that company instead of a template. Drafts and sends automatically, so one operator runs targeted outreach at volume.
Stack: LLM chains for site analysis, AI copy generation, email automation
AI Product
Effect-AI Business Platform
A full-stack AI platform with chat, saved prompts and reusable processing scenarios teams can share. Ingests PDFs, CSVs, images and audio, pulls out what matters, and generates personalised content and outreach from it.
Stack: Next.js, TypeScript, MongoDB, LLM API integrations, Docker
Before you sign with anyone
Ten questions worth asking. Including to us.
We would rather be judged on the answers than on the slides. Ask everyone on your shortlist the same ten and compare what comes back.
Does this actually need AI, or would ordinary software do it better and cheaper?
How do you know the answers are right — and how would you prove it to me?
What happens the moment it is not sure about something?
If you change something and quality drops, how fast would you notice? Can you undo it?
If one of my systems goes down halfway through a task, does the work resume or disappear?
What can it do inside my systems — and what can it never do?
If someone hides an instruction inside an email it reads, can they make it misbehave?
What does it cost me per task it actually finishes, not per message?
How fast is it when my whole team is using it at once, rather than in a demo?
When something breaks, who finds out first — you, or my customer?
None of these are trick questions. They are the ones that had to be answered before any of the systems above went in front of someone’s customers.
Pricing
What it costs, and what moves the number
Single System
Best for one clear bottleneck
from €2,900
fixed scope
One bottleneck, scoped and shipped. Best when you already know which process is costing you the most.
Scoped to one workflow or task
Built, tested on your real cases, documented
Integrates with your existing tools
Typically live in 1–3 weeks
Full Workflow
Most popular
Best for a process spanning several steps
€9,000–18,000
4–8 weeks
Several connected steps in one process: research, action, CRM, handover to a person. For a bottleneck that is not one task but a chain of them.
Several connected steps in one flow
Human-in-the-loop checkpoints where it matters
Full integration across your stack
Quality testing and a metrics dashboard
Ongoing Partner
Best for continuous iteration as you grow
€2,400–4,500
per month, from 3 months
Embedded AI engineering across your operation. New systems, maintenance, and iteration as you grow.
Embedded AI engineering on retainer
New systems shipped as needs emerge
Monitoring, testing and maintenance
Direct line to the person building it
Fixed-scope product
Missed calls answered, in your customer’s language
A voice agent picks up what your team cannot get to. Live in 10 days, tested on your own calls before it takes a real one. First three months included, then €99–169 a month, or switch it off.
What moves the number: how many systems, what state the data is in, and how much of your stack we integrate with. You leave the call with one fixed number rather than a range — and if automating it is not worth the money, we will say so.
Testimonials
What our clients say
-
Vladislav delivered exactly what we asked for, on time and to a high technical standard. He finds optimal technical solutions, adapts quickly to new tools, and is genuinely reliable to work with. Confident he'll bring real value to any team he joins.
Alexey Gunko
CCO & CTO, Bodro Coffee
Thanks to Legety's AI mentor bot, onboarding new employees at TRASKO has become far more efficient. The bot answers questions instantly, provides training materials, and integrates with our CRM. It's especially valuable that it's trained on more than 200 company regulations. I recommend Legety as a partner!
Daria Demina
Head of Active Sales, TRASKO Logistics
The bot Legety built for us automatically handles incoming inquiries across messengers and trading platforms, checks every request against prohibited-substances lists, and updates our CRM. Initial inquiry processing dropped from several minutes to 15-20 seconds, and our managers now focus only on warm leads.
Daniil Razuvaev
Head, Ambis Kennel Pvt. Ltd.
-
Vladislav delivered exactly what we asked for, on time and to a high technical standard. He finds optimal technical solutions, adapts quickly to new tools, and is genuinely reliable to work with. Confident he'll bring real value to any team he joins.
Alexey Gunko
CCO & CTO, Bodro Coffee
Thanks to Legety's AI mentor bot, onboarding new employees at TRASKO has become far more efficient. The bot answers questions instantly, provides training materials, and integrates with our CRM. It's especially valuable that it's trained on more than 200 company regulations. I recommend Legety as a partner!
Daria Demina
Head of Active Sales, TRASKO Logistics
The bot Legety built for us automatically handles incoming inquiries across messengers and trading platforms, checks every request against prohibited-substances lists, and updates our CRM. Initial inquiry processing dropped from several minutes to 15-20 seconds, and our managers now focus only on warm leads.
Daniil Razuvaev
Head, Ambis Kennel Pvt. Ltd.
Tell us what is eating your team’s time
One call. We’ll tell you what can be automated now, roughly what it would save you, and if it is not worth doing, we’ll say that too.
