AI Agents & Automation
We identify and automate the processes that consume the most time: document management, validations, approvals and recurring reporting. Your team stops doing mechanical work.
We develop agents that reason, decide and act on behalf of your team — from lead management to incident resolution. They work 24/7, without fatigue errors.
We connect agents to your CRM, ERP, communication tools and databases — without migrating anything or breaking what already works.
For complex processes, we design systems where multiple agents collaborate: one extracts, another validates, another executes. Each agent does what it does best.
Every agent action is logged. You know what it did, why it did it, and can intervene at any point. Full control, real autonomy.
We start with a pilot process, measure real impact and scale gradually. No big-bang implementations that promise everything and deliver little.
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We identify which processes are candidates for automation by volume, repetitiveness and cost of human error. We prioritise by ROI, not technical complexity.
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We define the behaviour, decision rules and autonomy boundaries of each agent before writing a single line of code.
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We build the agent, connect it to your systems and test it in a controlled environment with real data from your operation.
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Production deployment with active monitoring. The first month includes priority support for adjustments and behaviour refinement.
Not necessarily. Our agents handle the mechanical parts of work so your team can focus on decisions that require human judgement. In most cases, the same team produces far more without increasing headcount.
Depends on the case. We use LangGraph, CrewAI, n8n, Make and direct APIs depending on complexity. The tool is the means, not the goal — we choose what fits your stack best.
Yes, in the vast majority of cases. If your system has an API or webhooks available, we can integrate it. If not, RPA alternatives exist. We evaluate this in the first technical meeting.
An agent for a specific, well-defined process can be in production in 3–5 weeks. More complex multi-agent orchestration projects require 8–12 weeks.