GMI Software
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•AI agents and automation

AI agents and workflow automation

Intelligent business process automation

We build AI agents for teams that want to automate a specific workflow while retaining control over data and decisions. We start with one measurable process and define permissions, quality evaluations, monitoring and safe human handoffs before increasing autonomy.

We create AI agents that automate complex processes: from customer service through document analysis to system integrations. Agents operate autonomously, make decisions, and perform actions.
Get in touch with us>See process

At the core of delivery

01

Automation

02

Decisions

03

Integrations

70%

Process automation

10x

Faster execution

98%

Decision accuracy

Cooperation process

How does our cooperation look like?

A transparent process that leads from idea to finished product

  1. 01

    Process Mapping

    We analyze workflows, identify tasks for automation, and define decisions the agent should make.

  2. 02

    Agent Architecture

    We design agent architecture: tools, data access, decision logic, and system integrations.

  3. 03

    Development & Tools

    We implement the agent with access to tools (APIs, databases, files). We create task planning and execution system.

  4. 04

    Testing & Evaluation

    We test the agent on real scenarios, measure decision accuracy, and optimize prompts and logic.

  5. 05

    Deployment & Monitoring

    We deploy the agent to production with full monitoring of actions and decisions. We provide human-in-the-loop for critical cases.

  6. 06

    Iterations & Development

    We collect feedback, analyze agent behavior, and develop its capabilities. We add new tools and integrations.

Key benefits

Why choose us?

Business outcomes first—technology is the means, not the end in itself.

01

Automation

Agents perform complex tasks without human intervention.

02

Decisions

Intelligent decision-making based on context and data.

03

Integrations

Connection to APIs, databases, external systems.

04

Control

Human-in-the-loop for critical decisions, audit logs.

05

Scaling

Agents handle hundreds of parallel tasks.

06

Workflow

End-to-end automation of entire business processes.

FAQ

Questions to ask before building an AI agent

01How is an AI agent different from traditional automation?+
Traditional automation follows predefined steps. An AI agent can interpret unstructured context, choose approved tools and plan the next action. When rules are sufficient, we recommend simpler deterministic automation instead of an agent.
02Can an agent safely access CRM, email and internal systems?+
Yes, when access is limited to the required data and actions. We use scoped permissions, tool allowlists, audit logs and human approval for higher-risk actions such as sending, publishing or changing commercial data.
03How do you evaluate an AI agent?+
Before launch, we create a representative evaluation set and define acceptable, borderline and failed outcomes. We measure task success, errors, escalations, latency, cost and the share of decisions requiring a person—not just how fluent the model sounds.
04Which process should we automate first?+
The best first process is frequent, costly to perform manually, supported by accessible data and easy to measure. In an AI Opportunity Sprint, we compare candidates and choose the workflow with the strongest value-to-risk ratio.
Technologies

What technologies do we use?

Modern tools and proven solutions for the best results

01
OpenAI
AI Platform
02
Claude
AI Platform
03
LangChain
Framework
04
AutoGPT
Agent Framework
05
Next.js
Frontend
06
Node.js
Backend
07
PostgreSQL
Database
08
AWS Lambda
Serverless

Guides and proof

Articles, technology pages and case studies that support your buying decision.

AI Opportunity Sprint

Choose the first workflow and build a business case before a larger investment.

Read more>

LLM integrations for existing products

Copilots, assistants, data extraction and secure AI integration with your application.

Read more>

AI copilot for B2B sales quoting

A practical example of workflow design, human control and pilot metrics.

Read more>

Case study: Cognic AI

A production documentation assistant for therapists built with a Responsible AI approach.

Read more>
Service scope

What does the service include?

Below is an example scope of work that we adjust to the stage and goals of the project.

01Process and workflow mapping
02AI agent architecture
03Tools and integrations (APIs, databases, files)
04Task planning and execution system
05Testing and decision evaluation
06Monitoring and human-in-the-loop
07Iterations and capability development
08Support and optimization

Next step

Ready to start?

Schedule a free consultation and learn how we can help with your project. After our DDT process (Discovery, Design & Technology), we offer a price guarantee and a fixed-price agreement.

Schedule consultation>Start brief assistant
Contact

Let's talk
about the project.

Have an app idea or need technological support? Write to us — we'll prepare a preliminary analysis and estimate within 48h. Projects that go through our DDT process (Discovery, Design & Technology) come with a price guarantee and a fixed-price agreement — a key differentiator for us.

Write to us[email protected]
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80-890 Gdansk, PolandNearshore product delivery across EU, UK and US time zones.
NIP: 5252816287KRS: 0000830003
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