Automating repetitive work with AI and agents
A lot of time is lost on work that repeats every day: processing documents, routing emails, re-keying data. We automate those workflows with AI and agents, connected to the systems you already use, so your people have time left for the work that really matters.
What is AI process automation?
AI process automation is automating work processes with AI and, where it makes sense, AI agents. Unlike classic automation, AI can handle text, documents and exceptions: classifying, summarising and preparing decisions. That way you automate work that was too unstructured for traditional software.
- Automates unstructured work like text and documents too
- Combines AI with agents and existing systems
- Human in the loop where the impact is high
- Starting small and measurable pays off
Automating workflows that traditional software left behind
Every organisation has processes that repeat endlessly: booking invoices, forwarding requests, re-keying data from one system to another. It's work that gives little energy, is error-prone and swallows surprising amounts of time. That's precisely where AI process automation delivers a lot of gain.
Classic automation and RPA could handle part of this, but broke down as soon as free text, documents or exceptions came into play. That's where AI begins: it understands language, reads out documents, classifies and summarises, and can automate work that previously had to stay manual.
With AI agents we take it a step further. An agent can execute multiple steps independently: retrieving data, checking it and triggering actions in your systems, within the guardrails you set. That way you automate not one task, but a whole workflow, with a human in the loop where the impact is high.
Gaide builds that automation as a forward deployed engineer: connected to the systems you already use, tested with real data and handed over to your own team. We stay involved until it runs reliably and your people can build on it.
What you get from us
Process analysis
An overview of the processes with the most automation gain, with an estimate of time savings and feasibility per process.
Working automation
Automation with AI and, where it makes sense, agents, connected to your existing systems and tested with real data.
Control and monitoring
Clear guardrails, a human in the loop where it matters, and logging so it always stays clear what happened and why.
Handover and management
Documentation, training and handover to your team, so the automation keeps running and grows with your organisation.
How do we approach it?
From process analysis to automation that runs reliably alongside your work.
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Map the processes
1 weekWe observe on the shop floor and map the processes that take a lot of time, are error-prone or involve a lot of manual re-keying. That's usually where the most gain sits.
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Prioritise opportunities
1 weekNot everything needs automating. We choose the workflows with the best ratio of impact to feasibility, so you see results quickly without unnecessary risk.
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Build the automation
3-6 weeksWe build the automation with AI and, where it makes sense, with agents, connected to your existing systems. From intelligent classification and summarising to executing steps in a workflow.
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Test with human oversight
1-2 weeksWe test with real data and keep a human in the loop where needed. That way you safeguard quality and build trust before a process really relies on the automation.
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Roll out and secure
ongoingWe bring employees along, set up monitoring and hand over management. So the automation keeps running reliably and grows with your organisation.
What do we help you with, concretely?
Administration & finance
Automating document flows
Have invoices, receipts and contracts read out, checked and placed in the right system. AI extracts the data, an employee keeps an eye on the exceptions.
Customer contact
Routing inbound queries
Automatically classify, summarise and route incoming emails and requests to the right team, with a draft reply attached. Respond faster without compromising on quality.
Operations
Workflows with agents
Multi-step processes where an AI agent retrieves data, checks it and executes actions in your systems itself, within the guardrails you set and with control over the result.
Automating workflows often runs on AI agents that execute steps independently. We build the solution robustly with AI implementation and take it to production by scaling AI. Process automation is a concrete step in the broader AI transformation of your organisation.
Curious where the most time savings sit for you?
The AI Readiness Scan shows where you stand on processes, data and buy-in — a good starting point for choosing the first automation.
Take the AI Readiness Scan
Frequently asked questions about AI process automation
What exactly is AI process automation?
AI process automation is automating work processes with the help of AI, and where it makes sense with AI agents. Where classic automation follows fixed, predictable steps, AI can also handle text, documents and exceptions: classifying, summarising, extracting data and preparing decisions. That way you automate work that was previously too unstructured for traditional software.
What is the difference from classic process automation or RPA?
Classic automation and RPA work well for stable processes with fixed rules and structured data. They break down as soon as variation or free text is involved. AI fills that gap: it understands language and documents and can handle exceptions. In practice we combine both, so each part of a workflow runs on the right technology.
Which processes are best automated first?
Processes that occur often, take a lot of time and involve a lot of repetition or manual re-keying. Think of processing documents, routing emails or moving data between systems. Starting small and measurable works best: automating one process well delivers value faster than a broad roll-out all at once.
Do we stay in control of what the AI does?
Yes. We build automation with clear guardrails and keep a human in the loop where the impact is high. You decide which steps the AI may execute independently and which require approval. With monitoring and logging it always stays clear what happened and why.
Does this connect to our existing systems?
Usually yes. We connect the automation to the systems you already use, via existing integrations or APIs. The goal is for automation to run within your current way of working, not to replace everything. Where an integration is missing, we look for the most pragmatic solution.
Ready to automate your processes?
Book a no-obligation call. In 30 minutes we'll look together at which process is best suited to a first automation.