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AI agents for business

Infercline is the media platform for the AI agent economy. We cover AI agents through the business lens: what they cost, which tools work, how to put them to work and where they fall short. Start with a topic below.

Latest on AI agents

• The AI Workforce · 34 min ago

  What is an AI agent? A plain guide for business operators

  An AI agent is software that decides its own next step to finish a job. Here is what that means, where the term gets stretched, and how to judge one for your business.

• The Economics of AI · 35 min ago

  How much does an AI agent cost to run?

  Agents are priced by the token, the outcome, the conversation or the seat. Here is how each model works, what vendors charged at the time of writing, and the costs that sit outside the bill.

• The Agent Stack · 36 min ago

  AI agents versus traditional automation: what is the difference

  Rules-based automation follows the steps you write. An agent chooses some steps itself. Knowing which one a job needs saves money and avoids risk.

• The AI Workforce · 37 min ago

  Agent or hire: how to decide whether a job should grow through people or systems

  When work outgrows your team, you can hire, deploy an agent or do both. Seven questions about the job itself point to the right answer.

• The AI Opportunity Desk · 38 min ago

  Which business processes can AI agents handle today

  Agents already take on real work in customer service, finance and freight. The jobs they handle best share a pattern, and so do the ones they still get wrong.

• Agent Security and Trust · 39 min ago

  Are AI agents safe for business use?

  Agents can be used safely, but only with limits. The main risks are being tricked, being given too much power and being trusted too early. Here is how to manage each one.

• Agent Playbooks · 40 min ago

  How to put an AI customer service agent to work

  A customer service agent can settle routine questions around the clock, but customers are wary and the business is bound by what it says. A step-by-step plan for doing it well.

• Agent Playbooks · 41 min ago

  How to put an AI agent on accounts payable

  Paying suppliers is repetitive, rule-based and digital, which suits an agent. It is also a favourite target for fraud. How to get the speed without the risk.

• Agent Playbooks · 42 min ago

  How to use an AI sales assistant without annoying your customers

  AI can research prospects, draft messages and keep records tidy. It can also flood inboxes and break marketing law. Where to use it, and where a person should stay in front.

• The Economics of AI · 43 min ago

  How to tell whether an AI agent is paying for itself

  Vendors quote savings. Your accounts show costs. A simple method for measuring what an agent really returns, including the hidden hours that most calculations leave out.

• Agent Security and Trust · 44 min ago

  Human approval: where a person must stay in charge of an agent

  Some decisions should never be left to software alone, and in several countries the law agrees. How to decide where a person approves, and how to make that approval real.

• The Agent-Powered Founder · 45 min ago

  What an owner can hand to AI agents first

  Owners of small and growing firms carry too much admin. These are the jobs most worth handing to an agent first, and the ones to keep for yourself.

• The Agent Directory and Deals · 46 min ago

  How to choose an AI agent platform: questions to ask before you buy

  There are hundreds of agent products and the labels blur. These are the questions that separate a platform you can rely on from one you will regret.

• The Agent Directory and Deals · 47 min ago

  Build, buy or bring in an implementer: three ways to get an AI agent

  You can build an agent yourself, buy one ready-made or pay a specialist to set one up. Each route suits a different business. How to choose.

• The AI Opportunity Desk · 48 min ago

  AI agents in accounting and finance teams

  Finance work is digital, rule-based and checkable, which suits agents. It is also where errors and fraud cost most. Where agents help, and where the finance team stays in charge.

• The AI Opportunity Desk · 49 min ago

  AI agents in retail and e-commerce

  Retailers use agents to answer shoppers and run the back office, and shoppers are starting to send agents to buy for them. What is real, what is early and what the rules say.

• The AI Opportunity Desk · 50 min ago

  AI agents in logistics and supply chains

  Freight runs on emails, quotes and bookings, and agents now handle millions of those tasks. What logistics firms report, and how shippers of any size can use the same ideas.

• Agent Security and Trust · 51 min ago

  Data protection rules to check before an agent touches customer data

  Connecting an AI agent to customer records brings data protection law with it. A country-by-country checklist for all seven Infercline editions.

• Operators Building with Agents · 52 min ago

  The first 90 days of an AI agent rollout

  Most agent projects that fail do so in the first three months, for reasons that have little to do with the technology. A month-by-month plan for getting it right.

• AI Exits and Acquisitions · 53 min ago

  What buyers look for when they acquire an AI company

  Large software firms have paid billions for AI agent companies. What they were buying, what they check before they pay, and what founders should prepare long before a sale.