Agent as a Service
We build, deploy, and monitor custom AI agents for your organisation. You use the results – we take care of everything behind the scenes. Alternatively: build it yourself with the ADVAIS Platform.
Who is this for?
Many companies know that AI agents can transform their processes. But building and operating them requires specialised expertise in ML, DevOps, and prompt engineering – resources that are often absent internally.
No ML team – You want to use AI but have no data scientists or AI engineers internally.
Fast to implementation – You don't want to build infrastructure before the first value is created.
Reliable operations – Agents must run stably, securely, and transparently – around the clock.
Focus on your core business – You want to see results, not become an AI service provider yourself.
3×
faster time-to-value than in-house development
24/7
Monitoring & operations by ADVAIS
100%
custom-tailored to your processes
0
internal ML resources required
What we deliver
From the first requirements analysis to ongoing operations, we take full responsibility for your agent.
We analyse your processes and define together which tasks an agent should take on – with clear success criteria and realistic expectations.
We develop the agent using state-of-the-art LLM technology and integrate it seamlessly into your existing systems – API-first, secure, and scalable.
Structured deployment with a pilot phase, user acceptance testing, and controlled rollout. No big bang – a safe, step-by-step start.
Real-time monitoring of performance, error rates, and costs. You receive monthly reports and always have access to the live dashboard.
Agents learn and evolve. We continuously analyse outputs, adjust prompts and logic, and steadily improve quality.
GDPR-compliant operations, data minimisation, and audit-proof logging are standard. On request, we operate your agent on-premise.
Typical process
Typically, first results are visible after just a few weeks.
In a free initial consultation we get to know your situation, discuss potential use cases, and clarify whether Agent as a Service is the right solution for you.
In-depth analysis of your processes, data landscape, and system environment. Result: a detailed agent concept with architecture, interfaces, and timeline.
Agile development with weekly sprint reviews. You see progress in real time and can give feedback at any time. Concludes with a user acceptance test.
After go-live we take over monitoring, maintenance, and optimisation under a service-level agreement. You focus on results.
From practice
Three examples of how our AI agents concretely relieve customer and employee service – fully anonymised.
Insurance
The agent centralises internal knowledge – guidelines, processes, product documentation, and training materials – and makes it accessible company-wide. Employees receive context-based, source-referenced answers via an intuitive chat interface. The solution visibly relieves support teams and accelerates onboarding processes.
Consumer Electronics
The agent supports customers after purchase by phone – with installation, operation, troubleshooting, maintenance, spare parts, and warranty processes. The solution is fully integrated into the existing service infrastructure and available around the clock.
Automotive
The agent guides customers by phone through booking, rescheduling, and cancellation of workshop appointments – such as tyre changes. Including service selection, vehicle data capture, and appointment suggestions in real time.
Ready to get started?
Talk to us about your use case. We'll show you how an agent can concretely relieve your processes.
Further services
