Agentic AI & AI automation
Agentic AI: AI that doesn't just respond, but acts.
Complex processes that run manually today can be automated with AI agents – precisely, traceably and integrated into your existing systems. We develop and implement agentic AI solutions that don't just respond, but independently plan, decide and act.
Agentic AI
From answer to action: AI agents for complex processes
Approvals travel by e-mail, information is transferred by hand, decisions wait on people who currently have other priorities. AI agents solve exactly these bottlenecks: they analyse situations, make decisions and carry out multi-stage tasks autonomously. From data retrieval through processing to executing an action in connected systems.
We develop and implement these agents integrated into your existing IT landscape, whether CRM, ERP, CMS or external APIs. The result is workflows that run reliably without anyone needing to intervene, precise, traceable and secure.
LET'S TALK!
AI agents for complex processes. get in touch, no obligation, and find out where automation really pays off.
Where agentic AI makes a real difference with synaigy.
AI automation delivers its impact where processes are complex, repetitive or time-critical and manual intervention slows throughput.
Autonomous process execution
AI agents independently handle multi-step processes, from data acquisition through analysis to execution in your connected systems, without manual intermediate steps.
LLM integration into existing systems
We connect large language models with your CRM, ERP and CMS, for intelligent automation that starts where your data already exists.
Measurable AI process optimisation
Not every automation is worthwhile. We analyse your processes for AI potential and prioritise measures by effort and impact.
AI agents in customer service
Incoming enquiries are automatically analysed, classified and answered, including the necessary steps in your backend systems. Your team focuses on the cases that need people.
Control & human-in-the-loop
Every agent work within defined boundaries: critical actions require approval, every decision logged traceably. Autonomy for us never mean loss of control.
References
What we've already implemented with customers
Three projects showing how AI systems analyse, decide and execute, integrated into existing system landscapes.
The exciting question is no longer whether AI can answer. It's long been able to. The question is which of your processes it may reliably carry through to completion. That's exactly where Agentic AI begins.
How the collaboration works
From the first conversation to the productive agent. In four clear steps.
Discovery Call
We review your processes and systems and identify where an AI agent can realistically take work off your hands. Free and no obligation.
Use case analysis
We assess candidates by effort and impact, review your data situation and prioritise the use case with the best ratio of both.
Proof of Concept
Your first agent works with real data in a defined process. So within six to eight weeks you see exactly what automation delivers.
Integration & operations
We connect the agent to CRM, ERP or CMS, define approvals and monitoring – and develop it further during live operation.
AI experience you can build on
Agentic AI is not an experiment for us, but the next step after ten years of AI and data projects. From neural networks to LLM agents.
10 years
AI projects since 2016
From recommendation engines to autonomous service systems
6–8
weeks to a productive pilot agent
From kick-off to proof of concept with real data
80 %
of standard requests automatable
Typical target value for AI agents in customer service
KNOWLEDGE TO TAKE AWAY
Whitepaper
Well-founded knowledge for your AI decisions. Free to download.
Frequent questions on Agentic AI
A chatbot answers questions – an AI agent completes tasks. It plans multi-step workflows, makes decisions within defined rules and carries out actions in your systems: retrieving data, creating documents, updating records, triggering processes. With agentic AI, the answer is only the beginning.
Well suited are processes that are repetitive, multi-stage or time-critical and based on digital data – such as standard customer service enquiries, quotation and order processes, product data maintenance or research in knowledge bases. Whether a process is worthwhile, we clarify in a structured way in the Discovery Call.
Every agent operates within a defined scope of action: it may only carry out actions you have approved. Critical steps require human approval, and every decision is logged. This keeps it traceable at all times what the agent did and why.
Effort depends on the process and your system landscape. That's why we deliberately start small: with a free discovery call and a defined proof of concept. This way you see the concrete benefit before investing in scaling.
A proof of concept with real data is typically ready after six to eight weeks. How quickly this becomes a productive agent in regular operation depends mainly on the systems to be connected – we'll assess this concretely for your case after the discovery call.
Both are a question of architecture. We design data storage, model choice and hosting so that your requirements are met – on request with European cloud providers and your already approved language models. The requirements of the EU AI Act, for example on transparency and risk classes, are factored into the design from the outset.
You don't need a perfect data foundation, but accessible systems: interfaces to the relevant applications and structured core data for the chosen process. Where gaps exist, we show you which steps make sense before the agent – we check that together in the discovery call.
LET'S TALK!
Agentic AI: where is it worth starting?
We clarify which processes in your company are suited to AI agents, which systems need to be connected for this, and where a realistic first use case lies.
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