Pioneering Agentic AI for SME Workflow Automation

AI & SaaS

About

RegioKI is a Germany-based AI SaaS platform that enables small and medium-sized enterprises (SMEs) to automate and scale business operations through Agentic AI workflows. The platform allows users to create, deploy, and monetize AI-powered applications by combining verified AI components into complete process automations, replacing manual effort with intelligent, adaptive agents. Designed for both individuals and enterprises, RegioKI provides a multi-tenant architecture, enterprise role-based access control (RBAC), and granular data governance features, making AI adoption secure, compliant, and accessible at scale.

Client Review

Review

“TAK Devs are not less than the top EU companies I have worked with across three continents. They are professional, fast, and genuinely great to work with. I would not think twice to recommend them.” Thomas Wehner, Founder & CEO, RegioKI (Germany)

6+ Months

Research, Design, and Full-Cycle Development

14+ Team Members

Engineers, AI Scientists, and Product Strategists

1 platform

Modular, multi-tenant SaaS architecture for individuals and enterprises

5 AI component types

NLP, OCR, Vision, Speech and LLM chains, verified before publishing

AI Marketplace

For Verified Agentic Apps and Enterprise Automations

Challenge

In 2024, Agentic AI was a new and largely undefined concept. RegioKI set out to help SMEs build and deploy their own AI applications without coding, using pre-verified components for NLP, OCR, Vision, Speech, and LLM chains. They faced challenges including defining the architecture for an Agentic AI ecosystem, developing a secure multi-tenant SaaS for enterprises and individuals, managing complex AI API orchestration, creating AI app verification and publication workflows, and ensuring alignment with enterprise-level security and GDPR standards.

Solution

TAK Devs partnered with RegioKI as a co-research and full-scale development partner, taking ownership of the entire journey from conceptual research and specification writing to architecture, UX design, and production deployment.

Research and Specification

Co-authored an early Agentic AI specification framework for SME workflows
Conducted market and technical research to define agent roles and governance logic
Developed component interaction models and multi-agent communication schemas

Architecture and Engineering

Designed a modular, multi-tenant SaaS platform for both individuals and enterprises
Built a visual AI Component Builder for drag-and-drop workflow creation
Delivered a complete AI App Lifecycle: Build → Verify → Publish → Subscribe
Integrated LangChain, LLM chaining, and multi-agent coordination
Implemented enterprise RBAC, billing, and GDPR-aligned data controls
Deployed on AWS Cloud with CI/CD pipelines and containerized microservices

Design and User Experience

Designed high-fidelity UI/UX in Figma for Builder, Marketplace, and Admin portals
Delivered an interface built for usability and scalability

The Results

Sprints to deliver a full product

growth in user base

increase in customer satisfaction

in international remittances

faster transaction processing speed

Outcome Summary

Over six months of intensive research, design, and development, TAK Devs helped RegioKI build an early Agentic AI platform for SMEs. The platform introduced a new approach to no-code AI automation, letting companies build, deploy, and distribute AI applications across one scalable ecosystem. It shows how TAK Devs turns emerging AI concepts into production-ready SaaS.