Aiveyo

AI Automations

Use AI where it improves throughput, quality, and decision support.

We build AI automations for workflows where classification, extraction, summarisation, assisted decisions, or context-aware routing makes the process materially better. The aim is useful intelligence inside a controlled business workflow.

What this usually includes

Best fit for

A delivery approach grounded in operations, not hype

  1. Identify where AI adds measurable value inside the process
  2. Choose the right level of automation, review, and control
  3. Deploy with monitoring, tuning, and governance in place

Frequently asked questions

Which processes are the best first candidates for AI automation?
High-volume, rules-driven work with clear success criteria: accounts payable and invoice processing, support ticket triage, document extraction, order handling, reporting. If a mid-market team does it daily in bulk and it drains hours, it is probably a candidate — the process audit ranks your options by payback.
How is this different from Zapier-style workflow tools?
Those tools move data between apps when a trigger fires; they do not read, judge, or handle exceptions. Our automations add the understanding layer — classification, extraction, drafting — with guardrails and escalation, wired into the same systems. Where a simple trigger genuinely covers it, we will tell you to keep the simple tool.
What happens when the AI is not confident?
The item routes to a person, with full context attached. Confidence thresholds, review layers, and escalation paths are part of every build — a silent skip beats a confident mistake, and everything is logged either way.
Do you automate processes involving personal or financial data?
Yes, with the boundaries that implies: EU hosting by default, GDPR shaping the design, least-privilege access to your systems, and audit trails on every action. For strictly regulated data we deploy private, self-hosted AI so nothing leaves your infrastructure.

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