Companies
Leadership gets a clearer picture of how AI affects delivery, quality, and team behavior — making adoption easier to guide with data, not assumptions.
AI Governance Platform
Bring clarity to AI‑assisted engineering.
AIRAILS gives engineering leaders visibility into how AI is actually used — turning scattered adoption into measurable, governed practice.
Self-hosted
Docker in <5 min
SOC 2 Ready
Prompt Governance
Model Allowlists
Usage Analytics
Cost Attribution
Team Standards
Review Workflows
Compliance Ready
Self-Hosted
Impact
What AIRAILS makes visible.
Most teams don't struggle to access AI. They struggle to make it reliable, repeatable, and worth trusting at scale.
100%
AI session capture
6
Governance modules
13
Release phases
<5m
Docker deploy
Capabilities
One system, three audiences.
AIRAILS turns scattered AI usage into a deliberate operating model across every level of the engineering organization.
Engineering Leaders
Align model choices, prompt patterns, and review expectations so strong practices become team habits — not isolated exceptions.
Engineers
Spend less time guessing which tools or prompts are acceptable and more time building with patterns the team already understands and trusts.
Existing tools show AI spend. AIRAILS shows whether it's improving engineering.
That shift matters because adoption alone is not the goal. Better decisions, better standards, and better outcomes are.
How it works
Three steps to governed AI.
AIRAILS integrates into your existing engineering workflow. No invasive tooling. No developer friction.
01
Capture
Every AI interaction — IDE sessions, code suggestions, prompt usage — captured automatically across your engineering org.
02
Measure
Acceptance rates, tool adoption, cost per engineer. Know exactly where AI delivers value and where it creates noise.
03
Govern
Model allowlists, cost alerts, prompt templates. Compliance without slowing teams down — guardrails that engineers actually respect.
Deploy
Running in minutes.
One interactive script handles everything — environment setup, secret generation, Docker builds, database migrations, and health checks.
terminal
$ git clone https://github.com/tamzid958/ai-rails.git
$ cd ai-rails
$ chmod +x deploy.sh && ./deploy.sh
# The script walks you through:
# 1. Prerequisites check (Docker, Compose v2, OpenSSL)
# 2. Interactive .env setup (domain, secrets, OAuth)
# 3. Validation of required variables
# 4. Docker image builds (parallel)
# 5. Database migrations (Prisma)
# 6. Service startup with health checks
# 7. Summary with URLs and useful commands
cli
$ npm install -g airails-cli
$ cd your-project
$ airails init
# Commit tagging, IDE config, diagnostics, and more
Start governing
AI today.
Self-hosted, open-core, and deployable in under five minutes. Your data never leaves your infrastructure.