# Agentic AI [Agentic AI](https://iits-consulting.de/en/services/ai-machine-learning/agentic-ai) ## Agentic AI We build autonomous LLM agents that take on real work, the multi-step kind that chooses which tools to call and knows when to hand back to a person. We already run agents like these in production, handling chat, voice, e-mail, and tickets. Each one ships with an eval harness, so it's measurable from day one and never a black box. [Get in touch](https://iits-consulting.de/en/contact/index.md) [Free AI Discovery Workshop](https://iits-consulting.de/en/ai-discovery-workshop/index.md) Our Technology Partners ## TRUSTED BY TEAMS AT: Deutsche Telekom Uniper GOLDBECK PwC Vattenfall Schwarz Gruppe Cornelsen Meridiam ## What is Agentic AI? Agentic AI is a language model given the ability to act. It decides which tools to call, works through a task across multiple steps, and knows when to stop or hand back to a person. That's the shift from a chatbot that answers questions to a system that carries out real work. We build these systems with an orchestration layer that hands the work to specialist agents, each handling one part. And because an eval harness is built in from the start, every agent is measurable from day one, with reproducible test cases you can trust. ### Agent architecture & orchestration We design your agent's control flow, from simple tool calling to multi-step graphs in LangGraph. State, retries, and stop conditions stay firmly under your control. ### Specialist agents instead of one prompt An orchestration layer hands the work to five specialists: extraction, structuring, prioritisation, strategy, and CRM. Each does one thing well, and together they handle what a single prompt cannot. ### Conversational agents We run three agents in production: one for chat and voice, one for e-mail, and one for ticket management. They recognise the request, answer it, and raise a ticket, handing over to a person the moment a real decision is needed. All of it runs on sovereign cloud. ## Benefits of an iits AI Team AI is only worth it once it's doing real work, safely, inside the systems you already run. Here's what you get when you build it with us. ### Insights from academia and industry Joint research with TU Dortmund and Fraunhofer IML, with delivered work behind it. ### Understanding, not voodoo We take you to the right solution step by step, with nothing left to magic. ### Fits your cloud Robust, lasting solutions that slot into the cloud infrastructure you already run. ### You stay in control Modern interfaces give you a clear view of what the AI is doing, and the controls to steer it. ### Transparent metrics Honest numbers on how our models perform, so nothing is taken on faith. ## How an agent takes shape with us ### Scoping the use case We work out which task the agent takes on, where it starts, and where a human stays in the loop. Step 01 ### Designing tools and control flow Your APIs, databases, and internal services become tools with clean interfaces. We set the order the agent works in, and when it stops or asks back. Step 02 ### Building the eval harness Reproducible test cases come before the first release, so success rate, cost, and latency are measurable for every change after it. Step 03 ### Going live and sharpening The agent goes live behind guardrails and approval points. We watch the numbers and keep sharpening the prompts and tools. Step 04 ## Our Work [Fibre Rollout Contract Management for Broadband Services](https://iits-consulting.de/en/portfolio/fibre-rollout-contract-management-for-broadband-services/index.md) The development of a central, audit-proof contract management system for fibre rollout, including transparent document storage, deadline tracking and a KPI dashboard. [Web-Based Order Management for Construction Sites](https://iits-consulting.de/en/portfolio/web-based-order-management-for-construction-sites/index.md) The transformation of an old desktop application into a web-based construction order management system, including functional enhancements. [View all](https://iits-consulting.de/en/our-work/index.md) ## Areas we support in AI systems like these earn their keep wherever work is repetitive and high-volume. Here are a few areas where we've put them to work. ### Energy & Utilities Image analysis on plant equipment, predictive maintenance, and optimisation in power generation. ### Telecommunications Document screening, helpdesk automation, and data architecture across network rollout and operations. ### Retail Shelf and image recognition that tracks stock and placement in store, turning camera feeds into alerts staff can act on before a shelf sits empty. ### Waste & Recycling Contaminant detection on sorting lines, spotting what shouldn't be there in real time and keeping output streams clean without slowing the line down. IITS convinced us from the very beginning of the development of our contract management system with high subject-matter expertise and a deep understanding of our processes. Through targeted questioning and the commitment to developing not just a solution, but the best possible solution, a product with very significant added value was created. The collaboration was always trusting, efficient, and characterized by excellent exchange between the executive management and the development team. Tim Schnabel Project Manager Telekom Deutschland GmbH ## What we build with. The stack these systems run on with us. MODELS & ORCHESTRATION - LangGraph - VLLM - Anthropic API - OpenAI API - Azure OpenAI - AWS Bedrock RETRIEVAL & DATA - pgvector - Qdrant - Snowflake - Databricks - Postgres - Kafka EVAL & OBSERVABILITY - LangFuse - OpenTelemetry - Grafana - Datadog - pytest RUNTIME - Kubernetes - Terraform - Python - TypeScript ## Let's talk about your use case. Start with a no-obligation project inquiry, and our AI team will give you a straight read on whether an agent fits your use case, and how we'd build it. [Get in touch](https://iits-consulting.de/en/contact/index.md) [See our work](https://iits-consulting.de/en/our-work/index.md) AVG. RESPONSE \< 1 BUSINESS DAY