AI agents for those who outgrew manual processes

We design and ship AI agents that take over the manual work your team has scaled past needing to do by hand.

Abstract illustration of a centralized AI agent architecture coordinating multiple specialized workflows through a unified orchestration system.

By the numbers

80%+ of operations

automatable in a typical workflow audit

30+ professional

engineers and specialists

3x reduction

in manual processing time

8 years

partnering with clients in production

Why businesses need AI agents now

We build AI agents that take over defined, repeatable work inside your systems: document handling, data extraction, approval routing, monitoring, and more. An agent connects to your tools, takes actions, and completes tasks end-to-end. The result is a workflow that runs reliably at scale without growing your team to match the volume.

  • Manual work doesn't scale

    50-500 daily tasks still need people. AI agents automate growth.
  • Data errors multiply

    Manual entry has 1–4% errors. Agents validate and flag exceptions.
  • Slow responses cost revenue

    Agents cut response times from hours to minutes.
  • Disconnected tools waste time

    Agents connect systems without rebuilding infrastructure.
  • AI needs workflows

    Production agents require workflows, error handling, and monitoring.
  • Agent cost is fixed

    AI is predictable. Manual work scales with people and mistakes.

How we build AI agents

  1. Process audit

    Map the workflow, identify bottlenecks, and score automation potential.

  2. Scope & architecture

    Define agent responsibilities, integrations, human oversight, and decision logic.

  3. Prototype

    Build a working prototype using your real data and systems.

  4. Development & integration

    Develop the agent and connect it to your tools and workflows.

  5. Validation

    Test accuracy, edge cases, and escalation before production.

  6. Launch & monitoring

    Deploy, enable monitoring, and track performance continuously.

Case Study 1

How we automated operations for Könner & Söhnen

Industry:
E-commerce
Location:
Europe
Timeline:
8 weeks
Stack:
Shopify Plus + n8n
  • The challenge

    Multi-market e-commerce at scale Managing product data, pricing, and inventory across European stores in 11 languages relied on manual updates that were slow, error-prone, and difficult to scale

  • The solution

    Automated catalog & inventory sync We built an n8n automation that synchronizes products, pricing, and stock across all regional Shopify stores every two hours with no manual work

  • Every 2 hours

    automatic sync across all regional stores
  • 8 weeks

    from kickoff to production
  • 30 hours

    manual work eliminated every week
  • Zero developer time

    no ongoing maintenance required
Learn more

Case Study 2

How we streamlined logistics operations for UVK

Industry:
Logistics / 3PL
Location:
Ukraine
Timeline:
Continuous partnership
Stack:
Custom OMS + ERP (1C)
  • The challenge

    Manual logistics planning Dispatchers manually assigned vehicles, validated addresses, and planned deliveries, creating delays, duplicate work, and costly allocation errors

  • The solution

    End-to-end logistics automation We built a custom OMS that automates order intake, route planning, fleet scheduling, cargo allocation, document generation, and ERP synchronization

  • 98% on-time deliveries

    in primary cities
  • Zero manual allocation

    automated vehicle assignment eliminated allocation losses
Learn more

Have a project in mind? Let's chat

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In the near future, our manager will contact you.

Have a project to discuss?

Have a partnership in mind?

Kristina  (HR-Manager)