There are decisions in your business that a human makes today, and they shouldn't.
We build custom AI agents that operate autonomously within your processes: they read context, evaluate options, and act without anyone having to step in each time.
AI Agents
An automation follows the path you laid out. It works well when the case is always the same.
When there is variability, context to interpret, exceptions, decisions that depend on several factors at once, the programmed flow breaks down and someone has to intervene. Always the same someone, always the same time wasted.
An agent does not follow a path. It evaluates, decides, and acts. On its own.
We do not sell a platform or a generic product. We build the agent for your specific process, integrated with your systems, trained with your data.
Applications
Self-service customer support
The support team spends most of its time on inquiries that always have the same answer. The agent reads each inquiry, evaluates the context, resolves the cases it can, and escalates those that really need a human, with the context already prepared. 60–70% of inquiries resolved without human intervention.
Document processing with decision-making
Invoices, contracts, forms, or files that someone has to review, validate, and approve one by one. The agent extracts the relevant information, checks for consistency, evaluates whether it meets the criteria, and decides: approve, reject, or request additional information. Processes that used to take days are resolved in minutes.
Monitoring and response to anomalies
There are systems, data, or processes that someone should be watching all the time, but no one can. The agent monitors in real time, distinguishes noise from a real problem, and acts: alerts, pauses a process, creates a ticket, calls another system. The team stops finding out about problems when it’s already too late.
Internal Copilot for Operations
The information is in the systems, but accessing it requires an analyst, a report, or waiting. The team speaks to the agent in natural language, and the agent goes to the systems, extracts the data, and responds. Decisions that used to wait hours are made on the spot.
Methodology
How we work
01
Process diagnosis
Before proposing any solution, we understand the current process: how it works, where the friction points are, what decisions are made, and based on what criteria. If it doesn't make sense to build an agent, we tell you at this stage.
02
Autonomous logic design
We define what the agent can resolve on its own, what it should escalate, and based on what criteria. We don’t program rules: we train the model with the real context of your business and your data.
03
Construction and integration
We build the agent and connect it to the systems you already use: CRM, ERP, helpdesk, databases, internal APIs. It operates from within your operations.
04
Launch and adjustment
The first real-world cases always reveal something that wasn’t in the design. We support the launch, measure the autonomous resolution rate, and adjust until the numbers are the ones we agreed on.
In numbers
Featured project
Team augmentation for a global technology platform
We integrate specialized developers to accelerate the delivery of critical features, reduce backlog, and improve release times without disrupting existing operations.
Technologies
Uses
Not all processes need an agent.
Some are best solved with simpler automation. Others shouldn’t be touched yet. Before we get started, we hold a diagnostic session where we review your process, identify what makes sense to automate, and what results are realistic to expect.
Companies that want to move forward, scale, and transform trust us.
Recognized as a great place to work and as one of the region's leading software providers.
Tell us about your process. Within 48 hours, we’ll get back to you with a clear assessment of whether an agent makes sense for your case and where we’d start.