Supporting service

AI agents with guardrails, deployed by RITS

We deploy AI agents into your organization's processes. You reclaim your team's time and cut operational cost while keeping control over every risky decision.

20+
specialized AI agents
3
risk levels with human control
6+
tool integrations

The problem

The AI tools exist. Trust in them doesn't always

Operational work - coordination, reviews, reports, statuses, escalations - eats a large share of a team's time.

Too autonomous to trust

Tools that act on their own are hard to put into production without a safety net.

Too shallow to help

The rest stay demos - they never do the work for real.

Control stays a blocker

The result is that AI's potential goes unused, and managers are wary of handing over control.

AI agents with guardrails - deployed by RITS

We combine the Braio.app platform with our deployment expertise. Braio is a company operating system where 20+ specialized AI agents work like team members - knowing your repositories, processes and tools. As a premium partner, RITS runs the whole rollout and helps teams step into the new way of working.

  • Agents with context - They know your repositories, sprints and tools; they don't work in a vacuum.
  • Human-in-the-loop - Three risk levels decide when human approval is required.
  • Full integrations - Linear, GitHub, Slack, Jira, Notion, GitLab and more - read and write under human control.

Where it works

Not just software development

We match the scope of tasks to the client's processes. We have described 114 roles where part of the day goes on work nobody planned for.

Control

The human decides as the stakes rise

Every action falls into one of three risk levels - the higher the stakes, the more human control.

Low risk ~85%

The agent acts autonomously, everything in an audit log. E.g. a status update, a comment, a daily summary.

Medium risk ~12%

A single human approval, with a rollback plan. E.g. a merge to main, a deploy to staging.

High risk ~3%

Double approval ("4-eyes") and a full evidence chain. E.g. a production deploy, a budget or policy change.

How the rollout works

From process assessment to measured results

Five stages - control and budgets are set before the agents touch anything that matters.

  1. Stage 1

    Process assessment

    We map the processes worth accelerating and where the time actually goes.

  2. Stage 2

    Configuration and deployment

    Agents are configured and deployed with integrations into your tools.

  3. Stage 3

    Human controls and budgets

    We set the risk thresholds, approvals and spending limits.

  4. Stage 4

    Changing how teams work

    Teams step into the new way of working, with training.

  5. Stage 5

    Measuring results

    We measure the outcome and account for it against the baseline.

Common questions

Questions about AI adoption?

How is this different from the AI option in the core pillars?

The AI option in the pillars speeds up our own delivery work. AI Adoption is a separate service - we deploy AI agents into your organization's processes.

Do I lose control over what the AI does?

No. Human-in-the-loop ensures risky decisions require human approval.

Will the agents integrate with our tools?

Yes - Linear, GitHub, Slack, Jira, Notion, GitLab and others.

Who is accountable for the outcome?

RITS runs the rollout and answers for how it goes; Braio provides the platform.

Didn't answer your question? Talk to us

Next step

Adopt AI deliberately

For mid-size and large organizations with real processes to accelerate - with control, audit and a clear account of results.