Claude Partner NetworkOfficial Anthropic partnerQuestions from CEOs

Should I use AI agents or hire more people?

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

Short answer

Use agents for the repetitive, rules-heavy part of the work and people for judgment, relationships and exceptions. The usual outcome is not fewer people but the same team handling more volume, with hiring focused on roles that grow the business.

The longer answer

What to consider.

The question to ask is which tasks inside a role are repetitive. Most back-office and service roles have a large share of copy, check, look up and route work; that is where agents fit.

Agents scale with volume without overtime, training time or turnover, and they are consistent. People are better at negotiation, unusual cases and building trust with customers.

A good plan states up front how freed-up capacity will be used: absorbing growth, improving service levels or moving people to higher-value work. Saying this early also helps adoption.

Agents related to this question

full catalog →
Finance & Accounting · Accounts Receivable

Collections & Accounts Receivable Agent

Runs the dunning sequence on the customer's preferred channel, negotiates within approved limits and hands anything outside policy to an analyst.

All industriesAutonomy 2 · Copilot
Learn more →
People & HR · Retention & Engagement

Employee Help Desk Agent

Answers questions about PTO, benefits, payroll and internal policy from official documents, and escalates to HR what needs judgment.

All industriesAutonomy 2 · Copilot
Learn more →
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.

Talk to an AI architect

Want this answered for your company?

Thirty minutes with a senior AI architect. You leave with the three processes where agents would pay off fastest and what each would take.

  • 1
    A senior architect, not an SDR30 minutes with someone who has shipped agents to production.
  • 2
    Your top 3 agent opportunitiesRanked by payback, with the systems and approvals each one needs.
  • 3
    No commitmentYou keep the shortlist whether or not you work with Luby.