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AI agents, explained

Three kinds of agent, and what each one needs from you

An assistant answers. An agent acts. The difference is access, and access is where a security company starts the conversation.

01

Assistants you talk to

  • Microsoft 365 Copilot
  • ChatGPT
  • Claude
  • Gemini

You ask, it answers. Drafts, summaries, translations, a first version of a spreadsheet formula. It does nothing on its own and remembers little between sessions. This is where most companies are today, usually without rules.

What it needs from you

A licence, a short policy on what may be pasted in, and an hour of training per role.

02

Hosted always-on agents with their own computer

  • OpenAI dots (September 2026)
  • xAI Grok Bot (August 2026, beta)
  • Anthropic Claude Duet (October 2026, preview)

You give it a goal and the apps it may use. It works in the background on its own cloud computer, signs in to your tools, and brings results back for review. It can run while you sleep. It can also reach a lot of your data if you let it.

What it needs from you

Clean accounts and identities, scoped access, a named approver for anything consequential, and a decision on where your data may travel.

03

Self-hosted agents you own

  • OpenClaw
  • Hermes Agent
  • SafeComs bounded agents

Open-source agents running on infrastructure you control, connected to the systems you choose: order intake, booking to dispatch, enquiry handling, maintenance knowledge. Your data stays where you put it. Someone has to operate them, patch them and watch them.

What it needs from you

A managed, secured environment and an operator. SafeComs runs OpenClaw and Hermes Agent in-house and operates bounded agents for clients.

Guardrails

How we keep an agent in bounds

Every agent SafeComs builds or operates follows the same six steps. The person stays in charge of the decisions that matter, and there is a record of what happened.

  1. 01

    Input

    An email, a form, a file or a schedule starts the run.

  2. 02

    Scoped access

    The agent sees only the data this task needs, under its own identity.

  3. 03

    Agent

    It extracts, checks and drafts. It does not decide.

  4. 04 human in the loop

    Approval gate

    A named person approves anything consequential.

  5. 05

    Action

    The system of record is updated, by the agent or the approver.

  6. 06

    Audit log

    Every step is recorded and can be reviewed.

agent:// order-intake running
  1. 00:02 intake enquiry received · new order #4821
  2. 00:09 extract 14 line items parsed · delivery Thu 07:00
  3. 00:16 check stock & pricing rules passed
  4. 00:23 human awaiting approval · Ops lead approve?
  5. 00:42 approve approved by Ops lead
  6. 00:44 sync ERP sales order SO-10392 created
  7. 00:51 audit run logged · 6 steps · 1 approval

illustrative run · an order, email, booking or machine signal arrives · a person approves

A real run looks like this: the agent prepares, a named person approves, the system of record is updated, and the audit log keeps the trail. If the agent is wrong, the approver catches it before anything leaves the building.

In practice

We run these ourselves

SafeComs runs OpenClaw and Hermes Agent in-house and operates bounded agents for clients: order intake, booking to dispatch, enquiry handling, maintenance knowledge bases. We also work with Microsoft 365 Copilot, Power Automate and private language models with retrieval over your own documents.

We operate and coordinate these platforms. We do not pretend to be the vendor, and where a task needs a specialist partner, we scope it with one.

Before an agent, in this order

  1. 1 Every device known, patched and protected.
  2. 2 Individual identities with multi-factor authentication.
  3. 3 One system of record the agent can read and write.
  4. 4 A data map: what personal data exists and who may see it.
  5. 5 A named approver and an agreed measure of success.