What exactly is an AI agent?
Software that owns a repeating process end to end: it receives a trigger, gathers the data it needs from your systems, decides what to do under rules you set, produces the output and files it where it belongs. Unlike a chatbot, it acts inside your tools rather than waiting to be asked.
What does AI agent development cost?
From €1,600 per agent. The number of systems it integrates with and how many exceptions your rules contain drive the price more than the AI itself does.
Which processes are worth automating first?
High-frequency, rule-driven work: quotations, inbox handling, product data, lead research and outreach, recurring reports, spreadsheet consolidation, candidate screening and inbound call handling. If a competent new hire could learn it from a written procedure, an agent can usually run it.
Do you offer an AI recruitment agent?
Yes — our recruitment agent runs structured AI interviews automatically and is built on our own product, aiscreenr.com. It screens candidates against your criteria, scores every answer, and hands you a ranked shortlist with recordings and transcripts.
Can an agent handle our phone calls?
The AI reception agent answers inbound calls in natural voice, explains your services, books meetings into your calendar, and escalates to a human when a call needs judgement. Every call is transcribed, summarised and logged in a dashboard you can review.
How long does implementation take?
Typically a few weeks from the first consultation to a live first process. We deliberately start narrow, prove the saving, then widen the scope.
What happens when the AI gets something wrong?
You decide how much autonomy each agent gets. Keep a human approval step on sensitive output and the agent only ever prepares — you confirm. Every action is logged, and we monitor and tune the rules as part of the ongoing support.
How is our company data protected?
We keep data inside systems you already control wherever the process allows, restrict the agent to the minimum access it needs, and design each deployment around your GDPR and internal security requirements. No training of public models on your data.