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Choose your perspective

Scale AI across your team. With quality and control.

Coordinate agents, context, spending limits and review. Use delivery evidence to decide where to expand adoption.

Explore AI adoption controls
Context and boundaries
Project instructionsSpending limits
Agent workReview
Delivery evidenceCode durability · Review effectiveness

Define where AI can operate.

Guide the work with project context and spending limits for each run.

Add capacity, with review.

Agents execute tasks in isolated environments. Review brings findings into the assessment of changes.

Expand with evidence.

Follow code durability and review effectiveness to guide your next steps.

More capacity. An operation you control.

Give engineering a consistent way to execute with AI, review changes and assess the work delivered.

Releezy Loop

Delegate within clear boundaries.

Run coding agents in isolated environments, with project instructions, spending limits and visibility into each run.

Explore Loop
Releezy Reviewer

Scale your review capacity.

Review PRs with multiple agents and project-specific criteria. Bring findings into the review conversation your team already follows.

Explore Reviewer
Releezy Guardian

See what the work delivers.

Track code durability and review effectiveness across people and agents. Use that evidence to guide your next decision.

Explore Guardian

Start with one project. Expand with purpose.

Choose an area of work, decide what to observe and carry the learning forward. Releezy Concierge helps turn evidence into recommendations; your team decides what to adopt.

Explore Concierge
  1. Define the scope.

    Choose the project, tasks and owners. Agree on context, spending limits and review criteria before execution.

  2. Follow the actual work.

    Observe runs, review findings and code changes. Discuss with your team where AI helps and where it needs adjustment.

  3. Decide where to expand next.

    Use delivery quality and the team’s experience to expand scope, adjust instructions or continue the pilot.

From selection to adoption.

Do I need the entire suite?

Start with the module that addresses your priority: agent orchestration, code review or engineering visibility. Expand adoption as your team’s needs evolve.

How does it fit our current workflow?

Releezy works with different Git hosts and task management tools. Build on your team’s workflow with greater visibility and control over development and AI adoption.

Who decides what changes in the team?

Your leadership and project owners. Releezy Concierge suggests actions based on evidence and context; your team sets priorities, approves changes and follows the results.

Give AI adoption a clear direction.

See how to coordinate execution and track quality in the context of your engineering team.

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