AI Agent Development
We build measurable AI agent systems tailored to your business workflows and enterprise integrations.
EgKaSoft designs and delivers production-ready AI agents instead of experiments that stop at POC. We connect agent workflows to your web, mobile, CRM, CMS, SharePoint, ERP, backoffice, and API systems. Our work covers RAG knowledge agents, document analysis agents, support classification agents, and workflow automation agents with secure, observable, and cost-controlled architecture.
Why Choose Us?
- Less manual effort in repetitive operations
- Faster answers across documents and knowledge sources
- Secure, observable AI infrastructure ready for production
- Clear service positioning for SEO and AI search discovery
AI Agent Use Cases
Depending on your business goal, we can design single-agent, multi-agent, or human-in-the-loop workflows.
Enterprise Knowledge and RAG Agents
Knowledge agents that answer with sources across documents, portals, wikis, and SharePoint content.
Support and Request Classification
Agents that analyze emails, forms, and tickets to assign category, priority, and responsible team.
Report Summarization and Action Extraction
Agents that extract summaries, risks, and action items from PDFs, spreadsheets, meeting notes, and operations reports.
Backoffice Workflow Agents
Agents that support data checks, approval flows, and notifications inside CRM, CMS, ERP, and custom panels.
Production-Ready AI Delivery Standards
We deliver AI agent projects with security, quality, and operational observability built in.
Model and Data Security
KVKK/GDPR-aware access control, data masking, role-based permissions, and authorized source usage.
Evals and Regression Control
Scenario-based test sets, answer quality tracking, and regression checks across agent versions.
Cost and Performance Optimization
Token usage tracking, cache strategy, model selection, and per-operation cost visibility.
Which systems can AI agents integrate with?
They can integrate with web apps, mobile apps, CRM, CMS, SharePoint, ERP, email, document repositories, and custom API services.
Will an AI agent project remain a POC?
Our target is not a POC. We deliver production-ready products with security, logging, authorization, testing, and release discipline.
What does a RAG-based AI agent do?
It generates source-grounded answers from enterprise documents and knowledge bases so teams can reach reliable information faster.
Service Scope
- Enterprise AI agent architecture and LLM orchestration
- RAG-based knowledge access with source-grounded answers
- Email, PDF, form, and support ticket analysis agents
- Workflow, CRM, CMS, SharePoint, and API integrations
- Role-based access, audit logs, and cost controls