Aitivo
Service

Agentic AI& Workflow AIDeployments

We design environments where AI agents work alongside people, connect different processes, and take over repetitive tasks under the team's control. We start where it matters, but roll out in small, controlled steps.

How we approach deployments

Starting point
We pick one concrete process that matters to the team's work.
Scope and pace
We set them after understanding the process, data, risks, and integrations.
Technology and research
Claude SDK, Python, TypeScript/React, Java, OpenAI Platform, Google Vertex AI. We actively test new models and tools.
Work continuity
We design human oversight and procedures for falling back to work without AI.

First we ship a small, sensible piece. Once it runs reliably, we build on it as a base for further processes, agents, and pipelines. Research is constant, but only what passes practical validation reaches deployment.

Let's talk about the process
What we design

Concrete areas

  • Environments where AI agents work with people, rather than operating outside the team
  • Connecting different pipelines: documents, correspondence, reports, data, and operational decisions
  • Optimizing administrative work in companies and public institutions
  • Intelligent customer service — next-generation chatbots and assistants
  • Integrating agents with ERP, CRM, email, and industry platforms
  • Digitizing and classifying documentation
  • Active research into models, tools, and agent architectures — with a focus on practical use
  • Fallback procedures: what the team does when AI is down or misbehaving
Who it's for

The clients we
know

→ SMEs looking for real operational savings
→ Law firms and accounting offices
→ Public offices and institutions
→ Schools and educational establishments
→ Agencies, media houses, and publishers
How we work

5 deployment
stages

  1. 01

    Process discovery

    We look at how the work really flows: who makes decisions, where the data is, what is critical, and what must not break.

  2. 02

    Agent environment design

    We define agent roles, human control points, tool integrations, and the boundaries of automation.

  3. 03

    First deployment

    We start with a limited slice of the process. We test it against real context before touching further areas.

  4. 04

    Fallback procedures

    We document how to return to work without AI in case of downtime, a wrong answer, or the need to take over manually.

  5. 05

    Growth and maintenance

    Once the solution runs reliably, we extend it to further processes, monitor quality, and keep the knowledge base current.

First step

Let's start with one process.

Describe the area you want to improve. We'll check where an AI agent makes sense, where a human is needed, and how to keep work running when automation fails.

Describe the process
kontakt@aitivo.pl