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Hi!
Braio here

A digital AI team
for real work

Simulation · a day with Braio

End-of-day summary

13/13tasks delivered · 12 by AI
$6.80spent on AI today
$1,400spent on people today

The agents delivered 12 of 13 tasks for less than 1% of the team's daily budget.

1 human approval · full evidence in the audit log

The simulation will replay…

Less work about work. More things actually done. Agents that deliver outcomes - and a human who decides when the stakes get high.
Agent Developer
Agent Product Manager
Agent Content Specialist
Agent Scrum Master
Agent CTO Advisor
Agent SEO/GEO Specialist
Agents

A team with
real expertise

Every agent has a role, skills, tools and boundaries. Competence stays concrete and measurable - and new specialists join every quarter.

Delivery · code & tests

Developer

Implements tasks from issue to pull request: branch, code, tests and a change summary. Works in your repo via GitHub or GitLab.

Start · first contact

Concierge

Helps you pick the right agent and model for the task. You start with a conversation and Concierge guides you through the rest - no tool-hopping.

Delivery · code quality

Code Reviewer

Reviews every pull request: security, performance, style. Leaves concrete line-level comments and guards the team's standards.

Process · team rhythm

Scrum Master

Runs the daily, catches blockers and keeps work flowing. Sprint health and ceremonies happen without pulling people in.

Product · backlog & priorities

Product Manager

Keeps the backlog in order, proposes sprint scope based on velocity and makes sure the team works on what matters most.

Strategy · technology

CTO Advisor

Advises on architecture decisions, assesses technical risk and translates the consequences into business language.

Strategy · business

CEO Advisor

Looks at the company from above: goals, metrics and priorities. Suggests where to delegate the next repeatable process.

Marketing · content

Content Specialist

Writes and edits on-brand content - from posts to documentation. Always with your company's context.

Marketing · visibility

SEO/GEO Specialist

Audits your visibility in Google and AI search (ChatGPT, Perplexity). Recommendations land straight in your task list.

Meet the agents

1 / 9
About us

Approach
and philosophy

Braio is a company operating system where AI agents are full members of the team. You buy the outcome and the methodology, not a prompt - versioned rules, evidence and reports make AI work repeatable, comparable and verifiable. Autonomy where it helps. Human approval where it matters. Behind us are 20 years in IT - we successfully run a software house and build products at global scale.

Capabilities

One product,
many ways of working

You start simple - with a conversation. You expand as the need grows: delegating processes, an operational view of all AI work and company-level risk control.

Chat

It starts with a conversation. Braio helps you pick the right agent and model for the task - no hopping between tools.

Chat

Delegate

You hand a task to a specialized agent. You get the work done, the evidence, and an approval step exactly where it matters.

Delegate

Manage

Tasks, statuses, costs, approvals and reports in one operational view connected to your company's tools.

Manage

Control risk

Three risk levels: low runs on its own, medium waits for approval, high needs two pairs of eyes. Every action fully audited.

Control risk
How it works

Get started in a few steps

Step 01

Tell us about your company

Braio learns your context: the team, the projects and the way you work.

Step 02

Connect your tools

GitHub, Slack, Linear, Jira and more - OAuth, webhooks, reads and writes gated by approvals.

Step 03

Set rules and boundaries

Roles, budgets and risk levels. You decide what an agent can do on its own.

Step 04

Delegate and collect results

Your first repeatable process goes to the agents. Results, evidence and costs in a single view.

Human control

You decide what your flow looks like - risk levels and approval moments are tailored to your company's needs.

Level 01

Low risk - the agent acts on its own

safeguard: audit log

A status in Linear, an issue comment, a daily summary in Slack. No humans involved.

Level 02

Medium - one approval

safeguard: SLA + rollback

Merging to main, deploying to staging, messaging a client. SLA timer and rollback plan included.

Level 03

High - double approval

safeguard: four-eyes rule

Production deploys, client budget changes, security policies. A complete chain of evidence.

Integrations

GitHub
Slack
Linear
Jira
Notion
GitLab
Google
MS Teams
Gmail
Bitbucket
Azure DevOps
Vercel

...and many, many more.

Contact

Let's talk!

Want to see Braio in action or simply ask where to start?

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