> ## Documentation Index
> Fetch the complete documentation index at: https://olyrosstudios.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Technical consulting

> Hands-on AI adoption for the teams doing the work — engineering, QA, product, and non-technical groups.

Strategy only pays off when the people doing the work change how they work. Technical consulting is where adoption becomes real: your teams build the architecture, workflows, and habits that let humans and agents deliver together — with us alongside them, not around them, pairing on the actual codebase, the actual pipeline, the actual process.

## Who we work with

<CardGroup cols={2}>
  <Card title="Engineering" icon="code">
    Architecture designed for AI, agentic development workflows, and CI/CD modernization — so agents fit into how your team already ships.
  </Card>

  <Card title="Quality assurance" icon="clipboard-check">
    An agentic testing strategy: where agents strengthen coverage, how to keep them reliable, and how QA adapts to AI-assisted development.
  </Card>

  <Card title="Product management" icon="compass-drafting">
    An AI-first product practice — spotting the use cases worth building, designing trustworthy agent interactions, and planning roadmaps that account for how fast the technology moves.
  </Card>

  <Card title="Non-technical & education teams" icon="chalkboard-user">
    Enablement, training, and agent-assisted workflows for the groups AI too often skips — meeting people where they already work.
  </Card>
</CardGroup>

## How adoption becomes real

<Steps>
  <Step title="Start from the real work">
    The starting point is your actual code, pipelines, and processes — not a reference architecture — so effort goes where agents genuinely help.
  </Step>

  <Step title="Build the workflow">
    Your team gets working agentic workflows, stood up together with us and integrated with the tools they already use.
  </Step>

  <Step title="Hand it off">
    Your teams run, adjust, and extend the workflows on their own — adoption that outlasts the engagement.
  </Step>
</Steps>

## The stack we work in

We're fluent in the tools your teams already use, so we can pair on real work from day one.

<Columns cols={3}>
  <Card title="Languages" icon="terminal">
    TypeScript, Python, Go
  </Card>

  <Card title="Frameworks" icon="layer-group">
    Angular, React, Node, FastAPI
  </Card>

  <Card title="Cloud & backend" icon="cloud">
    GCP, AWS, Firebase
  </Card>
</Columns>

<Card title="AI models" icon="brain-circuit">
  Anthropic, OpenAI, and Google models — matched to the task, with your own provider credentials.
</Card>

## Delivered by the builders of Olyros Code

We don't consult from a distance. This work is delivered by the team that builds Olyros Code, our platform for running and governing AI agents next to your real repositories and data. The product proves the technical depth; the consulting makes adoption stick.

## Get started

<CardGroup cols={2}>
  <Card title="Get Started" icon="arrow-right" href="https://client.olyrosstudios.com">
    Create your account and start running agents where your code and data live.
  </Card>

  <Card title="Book a Demo" icon="calendar" href="https://calendly.com/olyros/30min">
    Walk through a hands-on adoption plan with the team that builds the product.
  </Card>
</CardGroup>