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AI agents

AI agents that help with research, routing, reporting, and follow-up.

Webxhives builds AI agents for practical business tasks. Agents can research, summarize, classify, draft, route, update, and notify while keeping a human in control where decisions matter.

Discuss an AI agentSee all of AI and Automation
  • Oneagent, one clear job to start
  • Humanapproval on decisions that matter
  • Loggedevery run, start to finish
  • Testedon real examples before rollout

An AI agent is software that works through a task with several steps on its own: it reads the input, decides what to do next, uses your tools and reports back. Webxhives builds agents for practical jobs such as lead enrichment, ticket triage, research and reporting, with a narrow scope and access only to the tools the job needs. Anything that affects money, clients, legal terms or public communication can require human approval, every run leaves a clear log, and every agent is tested on real examples before rollout.

What we ship

Everything under one roof.

  • Sales Agents

    Lead enrichment, qualification, CRM updates, follow-up drafts, and meeting prep.

  • Support Agents

    Ticket classification, suggested replies, escalation notes, and knowledge-base updates.

  • Research Agents

    Competitor research, market scans, prospect lists, and summary reports.

  • Operations Agents

    Task follow-up, status summaries, reminders, reporting, and workflow checks.

  • SEO Agents

    Keyword grouping, content audits, internal linking suggestions, and prompt tracking support.

Safeguards

A human stays in control where decisions matter.

Every agent ships with the same three safeguards, agreed with you before it touches a real system.

  • Human Approval

    Anything that affects money, clients, legal terms, or public communication can require approval.

    Trigger
    Before the agent sends, publishes, pays or changes a client record.
    Output
    A draft with its reasoning, waiting for a named person to approve or edit.

  • Logs

    Every run should produce a clear record of what happened.

    Trigger
    Every run, successful or not.
    Output
    The inputs, steps, tool calls and result, readable by your team.

  • Testing

    Agents are tested on real examples before rollout.

    Trigger
    Before launch, and again after any change to prompts, tools or models.
    Output
    A pass or fail on your real cases, with the failures fixed before rollout.

Agents do the legwork. People keep the decisions.

How we work

How the work actually runs.

  1. 01

    Scope one task

    We pick one task with a clear result, map the steps, the tools involved, and where a person must approve.

  2. 02

    Build

    We build the agent with access only to the tools and data the task needs, and clear rules for when to stop and ask.

  3. 03

    Test

    We run the agent on real examples, check every log, and fix the cases it gets wrong before rollout.

  4. 04

    Roll out and monitor

    The agent starts with human review on its output, then takes on more as it proves reliable. We keep checking the logs and improving it.

Who we serve

Who this is for.

  • SaaS companies
  • B2B service businesses
  • Agencies and consultants
  • Ecommerce brands
  • Real estate and construction companies
  • Startups and founder-led brands

Questions buyers ask us.

  • An automation follows fixed steps you define, like copying a form entry into your CRM. An AI agent works toward a goal and decides some of the steps itself, such as researching a lead, summarizing what it found and drafting a follow-up. Many projects use both.
  • Only where you allow it. Anything that affects money, clients, legal terms or public communication can require a person to approve it first. Low-risk steps, like tagging a ticket or updating a status, can run on their own once the agent has proved reliable.
  • Every run produces a clear log of what the agent saw, what it did and what it produced. Agents are tested on real examples before rollout, and we keep reviewing the logs after launch to catch and fix mistakes.
  • Most tools with an API or an integration: CRMs, email, spreadsheets, project tools, help desks, analytics and SEO tools. We give each agent access only to what its task needs.
  • With one task your team repeats often and that has a clear result, such as lead enrichment, ticket triage or a weekly status summary. Once that agent is reliable, the next one is faster to build.

Further reading

Guides for planning an AI agent.

The rest of the line.

All of AI and Automation

Ready when you are

Ready to start AI agents?

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