Claude Partner NetworkOfficial Anthropic partnerQuestions from CEOs

What are the real risks of AI agents for my company?

Strategy, growth and risk. Straight answers, written for executives.

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Short answer

The main risks are wrong outputs acted on without review, exposure of sensitive data, decisions in regulated areas made without people, and dependence on a vendor you cannot leave. Each has a known control: autonomy levels, data minimization, human approval and ownership of code and data.

The longer answer

What to consider.

Wrong outputs: agents can be confidently wrong. Controls are human approval for high-impact actions, evaluations before go-live and monitoring after.

Data: keep sensitive data in your environment, mask what the model does not need and log every access.

Regulation: hiring, credit, housing, insurance and health decisions have specific US rules. Keep a person as the decision maker there.

Lock-in: agree that you own the code, prompts, evaluations and data, and that the agent can run on more than one model provider.

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Why Luby

23 years of shipping software. A journey designed to remove risk.

Luby has taken more than 1,350 projects to production for companies in the US and Latin America. North American leadership in Miami, senior nearshore engineers whose working day overlaps yours. About Luby →

23+years in production software
1,350+projects delivered
220+engineers and product specialists
4.8/537 verified reviews on Clutch
ISO 27001 · 27701certified security and privacy
Before the build

Discovery with a written exit

Scope, success metric and kill criterion agreed in writing before any code. If the case doesn't hold up, you stop there.

Before it acts

Shadow mode first

The agent runs next to your team without touching anything. You compare its decisions with your people's before it goes live.

While it runs

Your people approve

Supervised by default: every high-impact action has an approver, an audit trail and a kill switch your business team controls.

Your environment

Your cloud, your data

Deployed in your cloud or an isolated environment, models under no-training terms. AWS and Google Cloud certified partner.

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