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Notes on running AI in production.
Notes on running AI in production.
Notes on running AI in production.

Field notes on AI agents, automation, and what actually breaks when a workflow meets the real world written by the team building them.

Field notes on AI agents, automation, and what actually breaks when a workflow meets the real world written by the team building them.

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Automation

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Company News

08.01.2026

The best automation plans are built around the cases that refuse to follow the happy path.

The best automation plans are built around the cases that refuse to follow the happy path.

Learn why exception handling, escalation rules, and operational feedback matter more than a perfect first-pass workflow.

Learn why exception handling, escalation rules, and operational feedback matter more than a perfect first-pass workflow.

09.02.2026

Claims, reconciliation, and compliance share the structured evidence that makes them ready for agents.

Claims, reconciliation, and compliance share the structured evidence that makes them ready for agents.

A field guide to the controls, review loops, and measurable outcomes shaping AI adoption in financial services.

A field guide to the controls, review loops, and measurable outcomes shaping AI adoption in financial services.

08.25.2026

Reliable automation starts with clear decisions, visible evidence, and a human escape hatch.

Reliable automation starts with clear decisions, visible evidence, and a human escape hatch.

A practical look at how teams move AI agents from impressive demos into dependable daily operations.

A practical look at how teams move AI agents from impressive demos into dependable daily operations.

09.09.2026

Every agent needs to know when it is right, when it is uncertain, and when a person should take over.

Every agent needs to know when it is right, when it is uncertain, and when a person should take over.

Explore how calibrated confidence and thoughtful escalation turn an automated workflow into a trustworthy system.

Explore how calibrated confidence and thoughtful escalation turn an automated workflow into a trustworthy system.

Your questions answered.
Your questions answered.
Your questions answered.

Let's find the first workflow worth automating.

Let's find the first workflow worth automating.

Let's find the first workflow worth automating.

How long does a typical AI project take?

Most projects take 5–7 weeks from discovery to go-live. A focused pilot can start in 1–2 weeks, while larger multi-workflow rollouts are typically delivered in 2–3 week phases.

Do we need our own AI or tech team?

What happens if the AI gets something wrong?

How soon can we start working on our AI project?

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© 2026 Aether. All rights reserved.

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