Claude Partner NetworkOfficial Anthropic partnerFor CEOsAI agents for CEOs of midsize companies.
Grow revenue without growing overhead at the same pace, and do it without betting the company on an experiment.
For a midsize CEO, AI agents are a capacity strategy: they let the same team handle more customers, orders and transactions while keeping decisions with your people. Start with the process where growth is blocked by manual work, measure one business metric and scale only when the numbers say so.
Where agents move the numbers you own.
- ✓Growth without matching headcount growth
- ✓Margin protection as costs rise
- ✓A credible AI plan for the board and the team
- ✓Risk you can explain to customers and auditors
Four plays for CEOs.
Respond to every lead in minutes
Speed-to-lead decides who wins the deal; agents qualify and follow up around the clock.
Agents that do itScale customer service without a bigger team
Agents resolve routine requests and hand the rest to people with full context.
Agents that do itTurn the back office into a fixed cost
Order entry, payables and collections grow with volume unless agents absorb it.
Agents that do itDecide with current numbers
Leadership questions answered from your data in minutes, not at the next monthly meeting.
Agents that do itOne metric per agent, agreed before the build.
Revenue per employee
Speed-to-lead and win rate
Cost to serve per customer
Time from question to decision
From one process to one agent in production.
We start small on purpose: one business process, one business metric, one go/no-go decision. You only expand when the numbers say so.
We review your processes and pick the one with the clearest payback.
Real workflow, rules, systems access, the success metric and the kill criterion, agreed in writing.
Shadow mode, then supervised production with your team approving exceptions.
Expand to the next process if the metric moved. If it didn't, we stop.
Companies that trust Luby
The people who work with Luby speak for us.
“The way they understood our vision and turned it into a working product is truly impressive.”
Rafael Rjeille CordeiroCEO, Yangflow“Everyone is professional, agile and flexible. They are open to feedback and keep improving their process.”
Jason MeltzerCTO & Co-Founder, Papaya“Luby is an innovative company that is committed to its projects. I feel confident taking on the most challenging work with them as partners.”
Wilson Baraban FilhoCTO, Inter&Co23 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 →
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.
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.
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 cloud, your data
Deployed in your cloud or an isolated environment, models under no-training terms. AWS and Google Cloud certified partner.
Get a CEO-level shortlist of AI agent opportunities
Thirty minutes with a senior AI architect. You leave with the three processes where agents would pay off fastest, the metric for each and what it would take.
- 1A senior architect, not an SDR30 minutes with someone who has shipped agents to production.
- 2Your top 3 agent opportunitiesRanked by payback, with the systems and approvals each one needs.
- 3No commitmentYou keep the shortlist whether or not you work with Luby.
AI agents for CEOs: common questions
How should a midsize CEO start with AI agents?
Pick one process where growth is blocked by manual work, agree on one business metric and a kill criterion, and put a first agent into supervised production. Expand only when the metric moves.
What is a realistic timeline?
Luby's standard plan targets about 10 weeks to the first agent in production: roughly 4 weeks of discovery and 6 weeks to reach supervised production. Systems access and the process chosen can move that date.
How do I explain the risk to my board?
Agents run at a defined autonomy level, people approve high-impact actions, every decision is logged and the agent can be switched off immediately. The project has a written kill criterion.
Do we need to hire an AI team?
Not to start. A partner builds and runs the agents with your process owners; you need a sponsor who owns the metric and someone who can grant systems access.
More questions from CEOs
all executive questions →- What is an AI agent, in business terms?
- Where should a midsize company start with AI agents?
- Should I use AI agents or hire more people?
- How long until AI agents show results?
- What are the real risks of AI agents for my company?
- How do I present an AI agent plan to my board?
- Should we build AI agents in-house, buy software or use a partner?
- How do I choose an AI agent development partner?
- Can AI agents grow revenue, or only cut costs?
- How do I get employees to adopt AI agents?