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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.

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TRUSTED BY TEAMS AT:

  • Deutsche Telekom logo: white stylised letter T on a magenta background
  • Uniper logo in blue, showing the word "uniper" split across two lines.
  • GOLDBECK logo in bold black uppercase letters on a white background
  • PwC logo featuring the lowercase letters "pwc" in black with two orange diagonal shapes above
  • Vattenfall logo with the name in dark grey bold letters and a circle split into yellow upper half and blue lower half on the right
  • Schwarz-produktion logo on a white background reading “SCHWARZ PRODUKTION” in white text inside a dark blue square.
  • Cornelsen logo — white bold wordmark on a red background
  • Meridiam logo with tagline "for people and the planet" in dark green on a white background.

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.

A group of colleagues sitting around a table with laptops, smiling and looking off-camera to the right.

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.

A top-down view of a collaborative workspace with laptops and hands working on a wooden table, centered around a purple flower.

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.

Four colleagues gathered around a table looking at a laptop screen, with a purple flower in the foreground; the woman in the center wears a white 'iits consulting' t-shirt.

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 industryJoint research with TU Dortmund and Fraunhofer IML, with delivered work behind it.
  • Understanding, not voodooWe take you to the right solution step by step, with nothing left to magic.
  • Fits your cloudRobust, lasting solutions that slot into the cloud infrastructure you already run.
  • You stay in controlModern interfaces give you a clear view of what the AI is doing, and the controls to steer it.
  • Transparent metricsHonest numbers on how our models perform, so nothing is taken on faith.

How an agent takes shape with us

  1. Step 01

    Scoping the use case

    We work out which task the agent takes on, where it starts, and where a human stays in the loop.

  2. Step 02

    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.

  3. Step 03

    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.

  4. Step 04

    Going live and sharpening

    The agent goes live behind guardrails and approval points. We watch the numbers and keep sharpening the prompts and tools.

Our Work

Deutsche Telekom logo centered on an abstract background of layered magenta, pink, and light-pink curved waves.Software Development
Contract Management System for Broadband ServicesThe development of a central, audit-proof contract management system for fibre rollout, including transparent document storage, deadline tracking and a KPI dashboard.Read the full case study
Blue rounded-square app icon featuring a white stylised document with nested rectangular shapes, centred above a teal wave graphic on a light blue background.Software Development
Web-Based Order Management for Construction SitesThe transformation of an old desktop application into a modern web platform, including functional enhancements.Read the full case study

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.
Deutsche Telekom logo — white stylized letter T with square cutouts on a magenta backgroundTim SchnabelProject 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 touchSee our work

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