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AI Agent Setup

AI agents for real business workflows, instead of another chatbot demo.

We set up AI agents (Hermes Agent, OpenClaw, and custom builds) inside the work your team already does. Each one is connected to your tools, given a specific task, and supervised by a person, which keeps it useful instead of dangerous.

30-day commitment on eligible scopesYou own the delivered workRemote · Worldwide

If an agent can't reach your tools, all you've got is a demo.

AI agent setup means taking an agent framework and making it do a real job inside your business: picking one repetitive, judgment-heavy job, connecting the agent to the tools that job lives in (Notion, your CRM, forms, email), adding guardrails and human checkpoints, and deploying it somewhere you own. Done well, it's a scoped build that takes days or weeks, not a months-long enterprise program.

Everyone wants agents right now. Most setups stall at a chatbot that can talk but can't act, because it has no access to your data, no guardrails, and no clear job. Others go the opposite way and let an unsupervised agent loose on production, which is how you get expensive mistakes.

We set up agents that earn their place. Each one gets a repetitive job, a connection to your stack (Notion, your CRM, your forms, your data), and human-in-the-loop checkpoints so you stay in control. We'll choose Hermes Agent, OpenClaw, or a custom build based on your case, whatever the hype says. Most of the enterprise 'agentic AI' market sells platforms and programs. We set up an agent that does one real job for a real team, on infrastructure you own.

What's included

Everything you get

Agent framework selection

Hermes, OpenClaw, or custom, chosen for your task, data, and risk tolerance rather than what's trending.

Tool & data integration

The agent connected to Notion, your CRM, forms, and APIs so it can do the work itself.

Task scoping & prompts

A clearly-bounded job with the prompts, context, and tools to do it reliably.

Guardrails & human-in-the-loop

Approval checkpoints and limits so the agent assists and escalates instead of running wild.

Deployment & hosting

Stood up on your VPS or cloud, with logging and monitoring so you can see what it does.

Handoff & documentation

Notes on how it works, how to change it, and how to extend it, so you're never stuck with a black box.

How it works

A clear path from chaos to system

01

Pick the job

The Fit Assessment suggests a preliminary candidate. The paid diagnostic verifies the repetitive, judgment-heavy task an agent should own first, its evidence, risks, and acceptance criteria.

02

Wire the tools

We connect the agent to the tools that job lives in (Notion, your CRM, forms, email), usually through MCP servers and scoped API tokens. Access stays narrow, and you can audit or revoke it at any time.

03

Prove it supervised

The agent runs read-mostly first: it reads, summarizes, and drafts while a human approves anything outward-facing. Only after it's boringly reliable does it earn scoped write access.

04

Extend the pattern

Once one agent has proven itself, we reuse the pattern for the next task on the same infrastructure, with the same guardrails. You get the documentation and the keys. An AI Systems Partnership is there if you want it, but you don't need one.

Outcomes

What you walk away with

  • An agent doing a real job, not a demo
  • Connected to your actual tools and data
  • Guardrails that keep you in control
  • A repeatable pattern you can extend to the next task

Who it's for

Founders and teams who want AI agents doing real operational tasks, set up safely and connected to their tools, whether they're starting with Hermes Agent, OpenClaw, or a custom build.

Investment

Free Fit Assessment · diagnostic from $3.5k · fixed-price agent builds

Proof

Teams like yours, already running on it

4.2 on Trustpilot · GreatOfficial Notion AmbassadorBuilder of ClientFacingPortalsAgencyU Systems Partner
“I was struggling with my internal operations until Julius came to the rescue. He's a magician when it comes to operations and made the way my team works so much easier.”
MHMuhameed Huseen · Netherlands
“We had quite a few requirements and although not everything was possible, he came up with smart and effective alternatives. A highly skilled Notion expert and great to work with. Definitely recommend!”
JKJort Korz · Netherlands

FAQ

Common questions

What's the difference between Hermes Agent and OpenClaw?
They're different open agent frameworks with different strengths around tooling, autonomy, and how they integrate. We'll recommend the one that fits your task, your stack, and how much autonomy you're comfortable giving it. If neither fits cleanly, we'll suggest a custom build.
Can an AI agent connect to our existing tools?
Yes, and that's the main job of a proper setup. We wire the agent into Notion, your CRM, forms, and APIs so it can read and act on your own data. An agent that can't touch your tools is only a chatbot.
Is it safe to run an AI agent on our operations?
It is when it's scoped and supervised. We build with human-in-the-loop checkpoints, clear limits, and logging, so the agent assists and escalates rather than acting unchecked. We're deliberate about where full autonomy is and isn't appropriate.
Where does the agent run?
Typically on your own VPS or cloud so you own it and control access, with monitoring so you can see exactly what it's doing. We handle deployment and hand it over documented.
How do we start?
Use the free Fit Assessment for preliminary direction. Before an agent build, we verify the task, data, actions, approvals, risks, and success metric through a bounded diagnostic or discovery process.
How much does AI agent setup cost?
A scoped first-agent project starts at $5k and varies with integrations and risk. The paid diagnostic or bounded discovery establishes the fixed scope; model and infrastructure costs are quoted from the actual architecture.
Do we need an AI agent, or is workflow automation enough?
If the step is deterministic (a form comes in, a row gets created, a notification goes out), a workflow tool like Make, n8n, or Zapier is cheaper and more reliable. An agent earns its keep when the step needs judgment: summarizing messy input, drafting from context, deciding what deserves attention. Most real systems we build use both: automations move the data, the agent reads it and thinks.
What is MCP and why does it matter for agents?
MCP (Model Context Protocol) is the emerging standard for giving an agent typed, scoped access to tools ('read this database', 'create that page') instead of raw credentials. Build the MCP layer once and the agent on top is swappable: the same endpoint works with Hermes, Claude, or ChatGPT connectors.
What should an agent's first task be?
Something read-mostly: reading a database and reporting, summarizing intake, drafting a weekly digest. Zero write risk, immediate daily value, and it builds the trust that earns the agent its next task. Starting with 'the agent manages our whole workspace' is how agent projects die in week two.

Tell us what's broken. We'll tell you what to build first.

Use the free Fit Assessment for preliminary direction. When the problem needs cross-system evidence, the paid diagnostic establishes the baseline and 90-day roadmap before implementation.

Join AI Systems Lab

Preliminary assessment · Evidence-led diagnostic · Remote · Worldwide