BYTETECH AIAI engineering

Smart agents. Hard guardrails.

We build AI agents that work inside your systems, on your terms — with permissions, logs and limits set by people who do security for a living.

agents with guardrails

Under the hood

An illustration of how it works — sample data, not live readings from client systems.

agent flowhuman-in-the-loop
  • Agentpicks up a monitoring alert and gathers context
  • MCP gatewayreads interface state; credentials stay in Vault
  • Guardrailchecks permission scope and limits, the call is logged
  • Engineerapproves the change — without sign-off the agent deploys nothing
  • Deploychange applied, audit trail complete
guardrailspolicy
secrets out of promptaudit every callapproval engineer signs off changesscope allow-listed tools only
bytetech@ai:~

$ claude run triage-01

› mcp.netops get_interfaces ✓

› guardrail: scope ok

› awaiting engineer approval

✓ approved · deployed · logged

What we do

01

AI agents

AI agents for specific tasks: handling tickets, reporting, routine IT operations. Key decisions are always approved by a person.

  • LLM
  • tools
  • human-in-the-loop
02

MCP gateways and APIs

We connect AI models to your systems securely. Access is controlled centrally, and passwords and keys never reach the model.

  • MCP
  • REST API
  • broker
03

Integrations

We bring AI into the tools your team already uses — helpdesk, email, documentation and monitoring — without changing how people work.

  • API
  • webhooks
  • SSO
04

Guardrails and audit

Minimal permissions, data protection and a complete record of every agent action. We also review AI solutions deployed by other vendors.

  • least privilege
  • audit log
  • agent testing

How we work

  1. 01

    Conversation

    You tell us what challenge you face or what you want to build. From day one you talk to the engineer who will lead the project — not a salesperson.

  2. 02

    Audit

    We assess the current state: we inventory your devices, map the environment and point out risks and quick wins.

  3. 03

    Scope and price

    You get a clear scope, price and timeline in writing. No hidden costs, no fine print.

  4. 04

    Delivery and care

    We implement, test and document the solution, then hand it over to your team. If you wish, we take over ongoing maintenance.

Which task would you hand to an agent?

Describe the task that takes up most of your team's time and the systems involved. We will give you an honest assessment of whether an AI agent makes sense and propose a safe way to deploy it.