Bluehost CEO sees AI agents as a small-business workforce

Many small businesses already use AI for market research, image and video creation, copywriting, and brainstorming. But those tools typically handle one prompt and one output at a time. AI agents, by contrast, can make decisions and execute multiple steps toward a defined business goal.

Sachin Puri, CEO of Bluehost, says the technology has matured enough to move beyond content generation and question answering. The company is now positioning agents as a practical digital workforce for small businesses, with applications spanning websites, sales, customer service, ecommerce, and administration.

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Why Bluehost is launching AI agents

Puri said AI agents can now understand context, coordinate workflows, interact with business systems, and complete real tasks. That makes them more accessible to small businesses that lack dedicated AI teams.

Bluehost’s research found that only 16% of small and medium-sized businesses are using AI agents today. Puri identified complexity and the shortage of solutions designed specifically for SMBs as the largest barriers, despite high interest in the technology.

“While interest in AI is high, only 16% of SMBs are using AI agents today.”

Bluehost’s strategy is to package its experience deploying AI internally into purpose-built agents that are intended to be practical and affordable for entrepreneurs. Puri argues that businesses will eventually need to participate in what he calls the Agentic Web, where agents discover companies, assess products, complete transactions, and interact with other agents for customers.

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From generating assets to running workflows

Website builders already offer AI tools that create pages, images, and copy. Puri distinguishes those generative features from agents by focusing on what happens after the initial output.

A conventional AI tool may generate a single page, leaving the owner to connect applications, make decisions, and coordinate the next steps. An agent is designed to pursue an outcome: it can understand the business goal, use relevant context, work across multiple applications, and complete a sequence of actions.

“We are moving from AI that helps entrepreneurs create things to AI that helps them run their business.”

For example, a website agent could understand a company’s business, create a complete on-brand site, optimize it for search, publish it, and continue improving it. Bluehost also describes two more specialized examples:

• AI Store Agent: Monitors products, inventory, orders, and sales trends, then recommends or takes actions intended to improve performance.
• AI Front Desk Agent: Answers questions using the company’s own information, qualifies leads, checks real-time calendar availability, and books appointments.

Puri says the goal is not to replace the entrepreneur, but to remove the need for the owner to act as an integration layer between disconnected software tools.

“We believe every small business will eventually have a digital workforce of AI agents working alongside its human workforce.”

GatorClaw and the first use cases

Bluehost’s GatorClaw is a visual AI agent builder based on the OpenClaw ecosystem. It runs on Bluehost VPS infrastructure and is intended to let business owners build, connect, deploy, and manage agents without assembling the underlying infrastructure or writing complex code.

Puri’s example is an automated lead workflow: an agent could detect a new inquiry in Gmail, qualify the lead, summarize the customer’s needs, update a CRM, and notify the appropriate person.

His recommendation is to start with one repetitive process that takes significant time and follows clear rules. Businesses can measure the result, build confidence, and expand the agent’s role gradually.

The strongest current opportunities, according to Bluehost’s research, are repetitive marketing and sales activities, including website and SEO updates, social media and digital advertising management, and appointment booking. The company’s Front Desk Agent is trained on a business’s website and knowledge base and connects to Google Calendar for real-time availability.

Puri also says agents should not be used indiscriminately. Automating administrative marketing, sales, and operational work can give owners more time with customers, but using agents for relationship-building could weaken the trust that distinguishes many small businesses.

Oversight, errors, and permissions

Puri compares early-stage agents to inexperienced employees: capable of completing a clearly defined task, but requiring supervision. Businesses should keep humans in the escalation path, start with lower-risk processes, and grant more autonomy only as the agent proves reliable.

Purpose-built agents reduce some of the setup burden because Bluehost defines workflows, integrations, and guardrails in advance. In Bluehost AI Store, specialized agents monitor products, orders, inventory, customers, payments, and sales channels. A coordinating agent combines those signals, identifies issues, and presents the owner with a prioritized action plan.

That does not eliminate the possibility of mistakes. A customer-facing agent could still provide incorrect information if its source data is outdated or its permissions are poorly configured.

“No AI system should be presented as incapable of making a mistake.”

Bluehost says it provides the platform and implementation support, while the business remains responsible for keeping its website, policies, pricing, and availability information accurate. The business must also decide what the agent is authorized to communicate or do.

Puri advises limiting each agent to the access required for its job, understanding where data is processed, and keeping sensitive or consequential actions behind suitable approvals. The source interview does not specify financial liability or compensation arrangements if an agent makes a costly customer-service or scheduling error.

Bluehost does not expect AI agents to eliminate drag-and-drop website builders. Instead, Puri says those tools could gain an AI management layer while agents expand into marketing, scheduling, routine email, vendor invoicing, employee onboarding, database management, reports, and analytics.