Five areas. One goal: automate processes, boost efficiency, cut cost, stay competitive.

These are our five service areas. Agentic Automation, Impact AI Studio, the Intelligent Data Platform, Enterprise Automation Platforms and Data Analytics interlock or stand alone. You go live faster and carry less risk than with a custom build.

01Agentic Automation

Processes that get themselves done.

Autonomous agents decide and act along entire process chains, with human-in-the-loop where control matters.

  • End-to-end, not step-by-step: from inbox to straight-through posting.
  • On existing systems: NAV, SAP & co., even without REST.
  • Traceable: every step logged and auditable.
See a matching case
agent-run · generisch
Event arrivesmail · form · systemtrigger
Agent decidesreads · checks · chooses
RegelnFirmenwissen
Action executedwrite · trigger · notify
Approvalhuman-in-the-loop · exceptions only
Target systemerp · crm · line-of-business appact
02Impact AI Studio

Custom-built with vibe coding, almost always with AI inside.

We build your tailored application via vibe coding, usually with its own AI component. The result: non-invasive to your system landscape and 100% matched to your needs, instead of standard software that has to be bent into shape.

  • Vibe coding: interface and logic emerge iteratively, in days instead of months.
  • Almost always with AI: RAG or an agent on your company data makes the application intelligent.
  • Non-invasive: complements your systems instead of replacing them. 100% tailored to your case.
  • Composable app: assembled from reusable building blocks, tailored like custom, live like a product.
See our approach
studio · delivery
PrototypeValidationOperations
Accuracy96,4%
Hallucination rate0,8%
Avg. response time1,3s
RAGMCP-GatewayEval-SetMonitoring
03Intelligent Data Platform

Data and company knowledge, made usable for agents.

Two kinds of knowledge, one foundation: structured data from your systems, synced via connectors, APIs or RPA onto Microsoft Fabric or Snowflake. And unstructured company knowledge from contracts, policies and manuals, made searchable through RAG.

  • Connectors, APIs, RPA: data stays in sync, with no migration.
  • Microsoft Fabric or Snowflake: as the foundation of your data platform.
  • RAG engineering: documents are chunked, indexed and retrievable with source citations.
  • One query layer: the MCP gateway as the door for every agent.
Data architecture in detail
outcome
BeforeFigures in four systems, knowledge in SharePoint, email and people's heads
AfterOne foundation: data and documents, always current
no ERP migrationagents and analytics work on the same data
04Enterprise Automation Plattformen

Microsoft and UiPath, rolled out cleanly.

We advise on governance, roll the platforms out and support adoption across the company. Microsoft Copilot Studio and CoWork as well as the UiPath Platform, embedded in your policies, not next to them.

  • M365 Copilot in everyday work: use cases, licensing, adoption.
  • Copilot Studio: custom agents with role concepts and access policies.
  • Copilot CoWork: digital colleagues that take on tasks and escalate.
  • UiPath Platform: agents, orchestration and robots in one enterprise environment.
  • Governance advice: policies, roles and data protection, before the first licence goes live.
  • Rollout and adoption: introduction, training and support until the platform is genuinely used.
Automation types in detail
enterprise · plattformen
M365CopilotAdoptionGovernance
StudioCustom AgentsZugriffs-Richtlinien
CoWorkDigitale Kollegen
UiPathAgents + robots orchestratedOperations
05Data Analytics

Data that answers back, not just gets stored.

On the same data foundation we build dashboards, KPIs and conversational analytics, questions in plain language instead of pivot tables, anomalies flagged automatically instead of hunted for monthly.

  • Conversational analytics: ask questions in plain language, get the answer straight from the data.
  • Live dashboards: Power BI / Fabric on your existing data foundation, no extra silos.
  • Anomaly & trend detection: outliers get flagged instead of having to be searched for.
See an analytics example
analytics · dashboard
Question
“How has AP process cycle time developed this month?”
Avg. cycle time2,1 Tage
Automation rate78%
Anomalies this month3
Power BIFabricConversational Analytics
Intro call

Which components does your process need?

Take 30 minutes. We'll look at your process together and outline what the architecture could look like.