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Use case

AI agents for banking and financial services

Banks need careful controls around automation. Self-hosting and approval steps fit operations work that stays away from customer decisions.

Where agents help

ProcessWhat the agent doesWho decides
Internal policy searchAnswers staff questions and names the documentStaff member
Onboarding document checksLists missing documentsOnboarding team
Control evidenceCollects evidence for internal reviewsRisk or compliance
Management reportsDrafts summaries from approved dataFinance lead
Service email draftsDrafts replies to routine questionsService team

Example in action

A staff member asks which procedure applies to a dormant account. The agent searches internal documents and names its source.

This is an example of how Hivelock could be used, not a customer story. Check results with your own data before relying on them.

What to be careful about

Hivelock is not a certified banking system. Keep credit, fraud and compliance decisions with authorised people, and complete your own vendor risk review.

How to start

  1. Choose one process with clear volume.
  2. Measure the time it takes today.
  3. Run the agent alongside your team, with approval on every outgoing step.
  4. Compare time saved, errors and rework.
  5. Decide whether to expand, improve or stop.

Common questions

Can Hivelock run on our own network?

Yes. It can be self-hosted, and it can use a local model so the model step stays on your network.

Start with one process.

Tell us what your team wants to automate. Get early access.