aioperants
// ai adoption, training & implementation

Make AI useful
in your business.

Choose the right tools, train your team and put AI agents to work. We help with setup, workflows and ongoing costs.

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AGENT WORKSPACETerminal concept

› Connect to your agent

HERMES

Your tools. Your workflows. Your environment.

Deployment ........ Cloud / on premises
Model & provider .. Selected for your tasks
Tools & access .... Configured to your scope
Usage & costs ..... Limits defined

› What would you like to take off your team’s plate?

Start with one useful task.
Illustrative setup, not actual Hermes output. No live connection or commands are executed.
// familiar tools. practical support.

Tools we help you adopt.

Start with the tools you know. Explore others when they fit the work.

Everyday work & team training

  • ChatGPT
  • Claude
  • Gemini
  • Microsoft Copilot
  • Perplexity

Coding tools & agent platforms

  • Google Antigravity
  • Codex
  • OpenCode
  • Hermes
  • OpenClaw

Independent guidance and implementation. Product names and logos identify the tools, not partnerships or endorsements.

// where it can help

From first steps.
To working workflows.

01
Guidance & hands-on training

Help your team get started.

Choose useful tools and practise with real tasks: research, documents, analysis or coding. Build habits your team can use in the working day.

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02
Design the workflow

Turn an idea into a working process.

Map the steps, connect your existing tools and define what the agent can do, when it should ask and when it should stop.

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03
Choose the setup

The right model. A sensible running cost.

Compare models and providers for your tasks. Test quality against cost and configure usage limits suited to the workflow.

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04
Deploy & support

Cloud or on your premises.

Assess your infrastructure and data requirements, configure the deployment and provide the guidance to operate it.

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// built around your business

A setup that fits.
Support that makes sense.

Use an agent platform such as Hermes with the tools and interfaces you already have. The value is in making it useful for your work.

  • Cloud deploymentA hosted setup, configured around your access and operating needs.
  • On-premises deploymentRun on your infrastructure where suitable. Model hosting and data flows are assessed separately.
  • Model & provider selectionBalance capability, response quality and ongoing cost for the tasks that matter.
// start small

Start with one workflow.
Measure the difference.

Pick a task your team knows well. Test whether an agent can do it reliably, understand the running costs and decide what is worth expanding.

Tell us what slows you down ↗
  1. Map the process and establish a baseline
  2. Configure, connect and test a focused pilot
  3. Review effort, quality, exceptions and running costs

Before we get started.

Can you train us without building an agent?

Yes. Training and tool selection can be a standalone engagement. Sessions are shaped around your team’s tasks and experience, with practical guidance to use afterward.

Do we need a new dashboard?

Usually the first option is the interface your existing tools or agent platform already provide. Custom UI is scoped only when it solves a specific need.

Does every workflow need AI?

No. A simple integration or conventional automation may be the better fit. We start with the task and choose the simplest suitable approach.

Will it send messages or make decisions on its own?

Agents can take approved actions autonomously within the agreed scope. Sensitive actions can require approval, while exceptions are routed to your team. The illustration on this page runs locally and connects to no business systems.

What happens to our business data?

Data access, providers, retention and permissions need to be reviewed for the proposed workflow before connecting your systems. Use only the information the task requires.

Can it work with our existing tools?

We assess the integrations and permissions your tools support. Compatibility and any limitations are confirmed during scoping.

What does it cost?

Pricing depends on the workflow, integrations and support required. Implementation and any ongoing provider costs should be made clear in the proposal.

// make room for better work

What could your team
spend less time doing?

Book a discovery call ↗
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