Select the workflow
Identify an owner, the current cost of work and criteria for a completed task.
We build AI agents for business workflows, connect them to your systems and prepare legacy applications for AI.
AI AGENTS / INTEGRATION / MODERNIZATION
Automate workflows. Connect AI to data and tools. Modernize the systems your business depends on.
Custom AI agents for support, document processing and business operations. CRM and ERP integrations, controlled actions and measurable pilot outcomes.
Connect AI models to applications, APIs and enterprise data. RAG, agent tools, access controls, testing and observability for existing business systems.
Prepare legacy and .NET systems for AI with APIs, controlled data access, testing and incremental modernization. A full rewrite is not always necessary.
Start with a focused pilot. Evaluate quality, costs and human involvement before expanding automation.
Identify an owner, the current cost of work and criteria for a completed task.
Review data, APIs and permissions. Define allowed actions and exception handling.
Test against a separate evaluation set. Measure quality, time and manual corrections.
Add logs, limits and monitoring. Expand the scope based on evaluated results.
Technology choices reflect your infrastructure, workload and the capabilities of your team.

Useful automation starts with a defined task. We scope data access, evaluate response quality and include human review for consequential actions.
A practical project brief covering goals, integrations, quality and constraints. Make your first discussion more productive.
Read the guide ↗With one repeatable workflow, an outcome owner and representative examples. Define data sources, permitted actions and acceptance criteria before development.
Integration connects the model to data, an application and tools. An agent uses those connections to execute a workflow. An AI feature, such as document classification, does not necessarily require an agent.
Not necessarily. A limited API, data improvements and an isolated workflow are often sufficient. The choice depends on the system’s condition and the new use case.
Compare the process cost before and after implementation, including integration, API usage, maintenance, human checks and error correction. Time saved does not automatically translate into lower expenditure.
Cost depends on workflow complexity, integrations, data quality and control requirements. Discovery allows a pilot and production implementation to be estimated separately.
A new product, a complex integration or a system ready for its next chapter. Let's start with a conversation.
contact@amaryllis.by ↗42-317 Kalvariyskaya St.,