Custom Agentic AI Application Development
Build Autonomous AI That Thinks and Acts for Your Business
We design and build agentic AI systems that understand context, make decisions, and run complex workflows with minimal supervision. From startups to enterprises, SDH helps teams move beyond basic automation to scalable, intelligent operations connected with your tools and data.
Cross-functional, senior engineering team
Across SaaS, fintech, healthcare & operations
Served by our software & AI platforms
End-to-end Software Development
SDH engineers production-grade AI — from autonomous task agents to multi-agent orchestration systems — built with enterprise-level security, predictable logic, and robust integrations. With 19+ years of engineering excellence, we deliver scalable, maintainable agentic AI solutions for startups, SMBs, and large companies.
What You Get with Agentic AI Systems
We build agentic systems that combine autonomous reasoning, deep integration, and multi-agent collaboration to solve your core operational challenges.
Agentic Reasoning & Autonomous Workflow Automation
AI agents capable of independent reasoning, planning, and adaptive decision-making. We use AutoGen-orchestrated workflows to automate complex multi-step business processes without predefined scripts.
Multi-Agent Collaboration & Distributed Execution
Specialized agents coordinate, delegate tasks, validate outputs, and operate as a unified system — increasing accuracy, reliability, and operational throughput across your workflows.
MCP-Powered Integration Layer
A universal interface (Model Context Protocol) enabling seamless access to APIs, databases, cloud platforms, and internal systems — eliminating the need for custom integration code.
Enterprise Data Intelligence & Knowledge Grounding
Secure retrieval-augmented generation (RAG), structured memory, and enterprise-grade data pipelines ensure every answer is grounded in verified business knowledge.
Enterprise Reliability & Safety
Addresses transparency and auditability challenges through validation layers, compliance checks, audit trails, and human-in-the-loop controls — ensuring safe and predictable AI behavior.
Human Workload Reduction & Role Augmentation
As a direct outcome of intelligent automation, AI agents replace repetitive manual work, accelerate internal processes, reduce operational costs, and allow your team to focus on higher-value contributions.
Each solution is fully customized: from single-agent copilots to complex multi-agent systems for procurement, customer operations, analytics, compliance, and cross-system automation.
Vision-driven leader in AI & Digital Engineering
Today companies need more than a development vendor, they need a strategic partnership that can design systems which think, learn, and act autonomously.
Why companies trust SDH Global
- Engineering-first mindset
- Predictable delivery
- Long-term partnership
Agentic AI Systems Development Services
Flexible engagement levels tailored to your current AI maturity — from rapid MVP validation to full-scale agentic ecosystems powering your operations.
Agentic Workflow Automation Suite
Structured agentic workflows designed to automate multi-step business tasks, reduce manual effort, and orchestrate actions across tools and APIs.
Starting from $60,000
Full Agentic AI Application
A complete, production-grade agentic application with autonomous decision-making, multi-agent collaboration, and deep integration across your data and systems.
Starting from $75,000
AI Automation Platforms
Large-scale AI platforms that coordinate multiple agents, share memory, orchestrate tools, and automate cross-department workflows at enterprise scale.
Starting from $90,000
Check it now — our AI-powered estimator analyzes your idea and instantly generates a clear cost projection with timeline and architecture.
Fast, accurate, and ready in minutes — get your estimate now.
Fast-Track Agentic AI MVP & Workflow Validation
Before investing in a full-scale autonomous system, the smartest step is to validate the idea with a fast MVP or POC. Modern visual agent frameworks allow us to prototype multi-agent workflows, tool-calling logic, and automation sequences in days — not months. This reduces risks, accelerates decision-making, and proves business value early.
How We Deliver Your Fast-Track MVP
We Use Innovative Agentic AI Tools & Frameworks. These platforms allow us to build and validate agent workflows, reasoning chains, integrations, and automations with exceptional speed — delivering working MVPs in days.
Visual multi-agent development framework for rapid prototyping. Build agent teams, tool-calling flows, shared memory, and reasoning loops without deep engineering — ideal for fast experimentation.
Google ADK
Agentic Development Kit
Low-code orchestration toolkit for building multi-step reasoning, tool usage, API actions, and decision flows. Perfect for fast MVPs of autonomous or semi-autonomous agents.
OpenAI AgentKit & SDK
Low-code Agent Orchestration
Enterprise-grade LLM pipeline builder with debugging, versioning, evaluation tools, and Python integration. Ideal for validating complex multi-step agent logic.
Microsoft Prompt Flow
Enterprise LLM Pipelines
No-code platforms for end-to-end automation. Combine LLMs, APIs, databases, CRMs, and 400+ integrations to create functional agentic workflows within hours.
n8n & Flowise
No-code Agent Automation
Industry-standard frameworks for structured LLM applications. LangChain enables modular tools, chains, and agents. LangGraph adds deterministic, stateful, multi-agent workflows with graph-based control.
LangGraph & LangChain
Frameworks for Structured AI Systems
Multi-agent collaboration platform where autonomous agents operate as structured teams. Ideal for research, planning, task delegation, and coordinated multi-role workflows.
CrewAI
Collaborative Multi-Agent Framework
Advanced RAG and knowledge-graph engine for enterprise data. Build intelligent retrieval pipelines with context-aware queries, memory, and custom indexing.
LlamaIndex
Enterprise RAG Framework
5–10 Day Initial Prototype
A reasoning-ready prototype that demonstrates agent logic and system interaction almost immediately.
2–3 Week Workflow Validation
Rapid modeling of real business processes with agent coordination, RAG, and tool usage.
Risk-Free Try-Before-Scale
Validate feasibility early, secure stakeholder approval, and reduce investment risk before full product development.
Special Offer: Up to 50% Co-Financing for Agentic AI MVPs
SDH Global launches a special program for businesses and startups looking to validate agentic AI ideas quickly. With up to 50% co-financing for early-stage MVP development, you can test automated workflows, reasoning loops, integrations, and multi-agent logic at a fraction of the cost — and bring your innovation to market faster.
Erfahren Sie mehr DetailsCase Studies: Agentic AI in Action
A few examples of how we design and deploy agentic AI systems that automate complex workflows, reduce operational load, and deliver measurable ROI.
TravelTech Platform — Agentic AI Travel Consultant
We implemented an agentic AI assistant that supports human travel consultants: one agent analyzes traveler preferences, another generates personalized itineraries, and a third agent handles pricing, hotel matching, and document preparation. The system reduces manual research time and increases conversion from request to booking.
Manufacturing — AI Quality & Workflow Agents
For a plastic manufacturing enterprise, we built an AI-driven automation layer: one agent analyzed production parameters, another monitored quality reports, and a third generated instant recommendations for operators. This reduced downtime, improved defect detection, and automated reporting.
FinTech — Multi-Agent Accounting Automation
We designed a multi-agent AI system for accounting workflows. One agent categorized transactions, another validated compliance rules, and a third prepared financial summaries and alerts. This enabled real-time bookkeeping, reduced manual reconciliation, and increased accuracy of financial insights.
Advanced Architectures for Your Industry
Agentic AI systems require domain-specific design. Each industry needs its own orchestration logic, compliance boundaries, data flows, and multi-agent coordination patterns. Explore how SDH builds production-ready agentic architectures optimized for real workflows.
Operations & Procurement: Autonomous Multi-Step Execution
Procurement workflows rely heavily on manual checks, email communication, inventory status, and vendor coordination. Agentic AI replaces fragmented steps with a coordinated multi-agent system capable of planning, validating, executing, and monitoring end-to-end procurement flows.
Typical Architecture: Planner Agent → Data Retrieval Agent → Vendor Analysis Agent → API Automation Agent (ERP / CRM) → Validation Agent → Reporting Agent.
The system autonomously checks stock levels, compares vendors, drafts purchase orders, triggers approvals, and logs actions into ERP — reducing cycle times and human involvement.
Typical Outcomes
- Procurement cycle time reduced by 35–55%
- Fewer manual errors and duplicated work
- Improved vendor insights & decision quality
- End-to-end audit trail for compliance
Ideal for manufacturing, retail, distribution, and enterprise operations teams managing complex approvals and supplier ecosystems.
Customer Support & CX: Autonomous AI Agents for End-to-End Service
Traditional chatbots handle only surface-level conversation. Agentic systems orchestrate reasoning, knowledge retrieval, workflow execution, and back-office integrations — delivering real resolution rather than scripted responses.
Architecture Example: Conversation Agent → Knowledge Agent → Tool-Use Agent → CRM/ERP Integration Agent → QA Agent.
The AI understands intent, verifies policy rules, retrieves precise answers, performs actions (refunds, updates, routing), and validates results — delivering measurable improvements in customer satisfaction and operational speed.
Typical Outcomes
- Support workload reduced by 40–65%
- Higher CSAT via context-aware responses
- Autonomous resolution for routine requests
- Full auditability for quality teams
Ideal for e-commerce, SaaS, telecom, banking CX, logistics, and marketplaces.
Finance & Compliance: Risk-Aware Autonomous Agents
Regulatory teams analyze thousands of pages of rules and internal policies. Agentic AI orchestrates validation workflows, cross-checking documents, logs, and rules to generate accurate compliance verdicts and audit-ready outputs.
Architecture: Meta-Agent → Compliance Agent → Document Analysis Agent → Risk Agent → Reporting Agent.
The system flags violations, extracts relevant evidence, verifies rules, and prepares full compliance summaries — drastically reducing review time and improving consistency.
Typical Outcomes
- Compliance checks delivered 50–70% faster
- Lower audit risks and human errors
- Automated extraction of critical facts
- Secure, role-based access & logging
Perfect for finance, insurance, banking, fintech, and enterprise governance teams.
Manufacturing & Supply Chain: Predictive & Autonomous Pipelines
Manufacturing relies on highly coordinated processes: scheduling, inventory, quality checks, machine data, and logistics. Multi-agent architectures enable prediction, anomaly detection, and autonomous decision execution across the full pipeline.
Architecture: Sensor Agent → Forecasting Agent → Anomaly Agent → Optimizer Agent → Execution/ERP Agent.
From quality scoring to production planning, agentic systems anticipate issues, adjust schedules, and execute actions through ERP/MES systems.
Typical Outcomes
- Production delays reduced by 20–40%
- Lower scrap & defect rates
- Optimized inventory & logistics
- Real-time operational visibility
Relevant for manufacturing plants, logistics networks, and industrial operations.
SaaS & Product Companies: Agentic Features Inside Your Platform
SaaS teams compete on speed and customer experience. Agentic AI introduces autonomous onboarding, problem-solving, configuration, troubleshooting, and product intelligence built directly into your platform.
Example Workflow: Onboarding Agent → Troubleshooting Agent → Documentation Agent → Usage Analytics Agent.
Agents understand user intent, retrieve product knowledge, diagnose issues, execute in-app actions, and guide users step-by-step — increasing product adoption and reducing support load.
Typical Outcomes
- Support requests down 30–50%
- Faster onboarding and activation
- Improved product adoption & retention
- Higher customer satisfaction
Perfect for SaaS, devtools, B2B software, mobile apps, and product-led companies.
Healthcare & Life Sciences: Safe, Validated Decision Pipelines
Medical and clinical workflows are high-risk and slow due to manual reviews, protocols, and compliance constraints. Agentic AI provides controlled autonomy with strict accuracy, traceability, and compliance boundaries.
Architecture: Clinical Query Agent → Data Extraction Agent → Guideline Matching Agent → Safety/Validation Agent → Explanation Agent.
The pipeline ensures the AI never invents clinical advice — every recommendation is grounded in validated protocols and cross-checked across multiple agents.
Typical Outcomes
- Clinical decision prep 40–60% faster
- Reduced risk through multi-agent cross-validation
- Consistent application of guidelines
- Structured data for EMR/EHR systems
Ideal for hospitals, diagnostics, insurance, medtech, and life sciences research.
How We Work: Agentic AI Development Process
Building an agentic AI system requires more than engineering — it requires orchestration, iterative reasoning design, safety boundaries, and seamless integration. Our process blends strategic discovery, modular architecture, and production-grade implementation tailored to your real business needs.
Strategy & Consultation
We begin by analyzing your processes, data flows, tasks, and automation opportunities to map out agent roles, tool capabilities, and expected performance outcomes.
Ergebnis: A clear vision for your agentic AI system, aligned with measurable business goals.
Data Preparation
We structure, clean, and enrich operational data to support accurate reasoning, retrieval, and decision-making across agents.
Ergebnis: High-quality, unified data ready for multi-agent workflows.
Multi-Agent System Design
We define agent roles (planner, reasoning, tool-use, validator, integration), communication protocols, safety layers, and workflow orchestration patterns.
Ergebnis: A modular, scalable agentic architecture built around your operational logic.
Vector & Knowledge Layer Setup
Configuration of vector databases, embeddings, document pipelines, and high-relevance retrieval for agent reasoning and evidence-based decision-making.
Ergebnis: A dependable knowledge foundation powering accurate agent actions.
LLM Integration & Prompt Engineering
Integration with leading LLMs and refinement of prompts, instructions, and agent communication templates to ensure consistent, controllable reasoning.
Ergebnis: A stable interaction layer enabling smart, predictable autonomous behavior.
Application Development
UI/UX, dashboards, automation interfaces, admin consoles, and workflow modules built to support your internal teams and end-users.
Ergebnis: A polished application that makes agent capabilities accessible and practical.
System Integration
Secure integration with CRMs, ERPs, APIs, internal tools, and data systems. Agents gain real execution capabilities, not just conversation.
Ergebnis: Agentic AI seamlessly embedded into your existing workflows and platforms.
Testing, Deployment & Monitoring
Rigorous QA, scenario testing, safety validation, and ongoing monitoring ensure agent reliability and predictable autonomy in production.
Ergebnis: A stable production system with transparent agent behavior and performance tracking.
Knowledge Transfer & Support
We train your team, deliver documentation, refine workflows, and provide continuous improvement for scaling new agent capabilities.
Ergebnis: A self-sufficient organization equipped to evolve its agentic AI ecosystem.
Expert solutions for complex challenges
Agentic AI is not just about automation — it's about reshaping how organizations operate and scale.
Our role is to translate your vision into a practical system that delivers measurable impact from day one.
Our Advanced Tools & AI Engineering Stack
Powerful frameworks, runtimes, and integrations that enable scalable, production-ready agentic AI systems.
Agentic AI is not just a smarter chatbot — it's a coordinated system of autonomous components that plan, reason, and execute within real business constraints.
The strongest enterprise solutions combine reliable reasoning, safe autonomy, and deep integration with your tools and data.
Softwarearchitekt
AI Models & Reasoning Engines
Vector Databases & Knowledge Systems
Agentic Frameworks & Orchestration
Cloud & Infrastruktur
Monitoring, Observability & MLOps
Integration Modules & APIs
Ready to build your next-generation Agentic AI system?
Let’s turn your workflows, data, and processes into fully autonomous multi-agent capabilities — designed for real business impact, not just experimentation.
From strategy and architecture to integrations and production deployment, our team helps you build secure, scalable, and high-performance agentic AI applications that deliver measurable value from day one.
Frequently Asked Questions
Answers to the most common questions about agentic AI systems, integrations, safety, and delivery timelines.