Agents that do the work
Not another chatbot that answers questions and hands you back the problem.
We build AI agents that live inside your product and your systems, hold each user's state and history, and act on it, including speaking first, before anyone thinks to ask.
- Studio
- AI agents, software & automation
- Languages
- English and Russian, remote-first
- Model
- One senior team, scope to production
- Pricing
- Fixed price per phase
What an agent actually does
Everyone says "AI agent" and means something different. Here's what we mean, in the order it happens: four things, and the fourth is the one most builds skip.
Watches
Holds the full picture and keeps holding it: account state, history, documents, CRM, what happened last week. Not a fresh session that forgets you every time.
Decides
Applies your actual rules, thresholds and triggers, not a generic model's opinion. The logic is written down, reviewable, and changeable without a rebuild.
Acts
Writes to the system, sends the message, books the slot, or opens the conversation itself the moment something worth saying happens.
Escalates Most skip this
Knows the edge of what it knows. Low confidence, unusual case, or anything above a limit you set goes to a person, with the reasoning attached.
An agent that guesses is worse than no agent. Every build we ship is measured on what it correctly refuses to do, not just what it completes.
The valuable lines are the ones nobody asked for
An agent that opens the conversation, at the moment something is actually happening, is a different product entirely. That's the work we're interested in.
A companion inside a trading platform
Permanent access to the client's account state and full history. It answers when asked, and starts the conversation itself when a behavioural trigger fires. Three roles in one voice:
The reference desk
Answers questions about the platform and how things actually work, the ones that would otherwise arrive as support tickets.
The risk watcher
Notices dangerous behaviour in the moment it happens, and says so then, not in a review a month later, when it's history.
The analyst
Once a week, turns everything that happened into a report the client can genuinely read and act on.
Most of the value sits in the lines it speaks first. That makes it a product people come back to, not a support bot they tolerate.
What we build
Every one of these is built for you specifically. We don't have a platform to sell you a seat on.
Agents as products
An agent that becomes part of what your customers use and changes how the thing feels to use. Usually the brief that doesn't exist yet.
BCustomer-facing agents
Support, qualification, scheduling and follow-up, over chat, email, WhatsApp or voice. They answer from your real data, complete the request end to end, and pass the genuinely tricky ones to your team with full context.
CInternal & ops agents
The work nobody wants to do twice: chasing exceptions, reconciling records, routing requests, preparing the report someone rebuilds every Monday. These usually pay for themselves first.
DDocument & data agents
Invoices, contracts, forms, PDFs and inboxes turned into structured data your systems can use, with confidence scores and a human check where the stakes justify one.
EThe software around them
Integrations, internal tools, dashboards, portals, web and mobile apps: everything an agent needs to be trusted in production. Also built standalone when that's what you need.
How the work runs
Three phases, one after the other. Nothing starts before the previous one is signed off.
Scope
We find the decision worth automating, define success in numbers you already track, and map what the agent needs access to. If an agent is the wrong tool here, this is where we say so.
Build
Built against your real data and real systems from week one, with something you can try at the end of each week, not a reveal at the end of the quarter.
Run
Into production with monitoring, guardrails, escalation paths and documentation. Then handed over clean to your team, or kept running by us. Your call.
The code, the infrastructure and the data are yours from day one. Nothing we build requires us to keep existing, and we'd rather you stayed because it works than because leaving is expensive.
How we operate
Twelve rules we hold ourselves to once agents are doing real work inside a company. Each one is a claim, not advice. Four of them:
Agents get their own identity
An agent is a non-human actor with credentials. Give it the narrowest key that does the job and a trail that says the agent did this, not a person.
08 / 12Humans hold the judgment layer
Three calls stay human: what we build, what ships, and what is true. Everything below gets executed by agents.
10 / 12Review is the gate
Machine checks first, human judges second, and nobody can skip it. A gate you can route around is a norm, and norms go first under pressure.
12 / 12Spec first, always
Nothing gets built from a conversation. A human writes what to build, what it must not do and what done looks like. Agents work against that file.
Any workflow with a repeatable decision
We scope around how you work (support, ops, sales, finance, back office), not around a vertical we've decided to specialise in.
Startups
Founder-speed. We cut the idea down to the first agent or MVP worth testing and get it in front of users fast.
Growing teams
Agents that plug into the stack you already run on and take over the queues that grew faster than the team did.
Established businesses
Production-grade builds with the access controls, audit trail, documentation and handover a real operation needs.
The questions we get first
Asked on almost every first call. Answered here so you don't have to book one to find out.
Q1How is this different from a chatbot?
A chatbot returns text. An agent takes an action in a system you care about: issues the refund, books the slot, updates the record, escalates the case. If the outcome still lands back on a person's to-do list, we haven't finished the job.
Q2What happens when it gets something wrong?
It's designed to be wrong safely. Every agent has limits you set: value thresholds, confidence floors, case types that always go to a human. Above them it stops, and everything it did is logged, so you can see exactly what happened and why.
Q3Do you need access to our data?
Enough to make the agent useful, and no more. It runs in your infrastructure where that's the requirement, with scoped credentials and an audit trail. Your data stays where it already lives. We don't move it somewhere new, and we don't train anything on it.
Q4How long until something actually works?
Weeks, not quarters. The honest caveat: scope drives everything. One well-chosen workflow moves fast; "automate the whole department" does not, which is why we start by cutting it down to the piece that pays off first.
Q5Will it work with the systems we already have?
That's the normal case. We build onto your existing stack (your CRM, your ERP, your database, your tools), including the older ones without a modern API. Rip-and-replace is almost never the right answer, and it's not what we'll propose.
Q6Is this going to replace our team?
Not how we scope it. The work worth giving an agent is the repetitive part nobody wants: the chasing, the copying, the checking. What's left is the judgment your people are actually there for, and they end up handling the hard cases with better context than before.
Q7What does it cost?
Fixed price per phase, agreed before we start building. Scope comes first precisely so the number is real and doesn't move: no open-ended hourly billing, no surprise change requests for things we should have caught in scoping.
Bring the problem.
We'll bring the build.
Tell us the product you want to build, or the process that's eating your team alive. We'll come back with a scope, a timeline and a fixed number.