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AI for everything after code, or governance across the entire SDLC.

An AI software-delivery platform is a broad, capable suite. It uses AI to automate what happens after code is written: build, test, release, deploy, secure, and operate, across many first-party modules. If you want to standardise end to end on one vendor, it is a strong choice. IntegraCI sits in a different place. It is secure-by-default governance across the whole SDLC, from the first commit, so policy gates, a tamper-evident audit trail, and database-enforced tenant isolation are the foundation, not modules you switch on later. It does not replace the CI, scanners, and clouds you run; it orchestrates and gates them, and keeps a governed AI gateway over the lot.

Side by side

Breadth after code, or depth across the lifecycle.

Both help your team standardise. The difference is where each one starts and what sits at its centre: a wide suite that AI-automates delivery and operations, or a governance layer that gates and audits the whole SDLC over the tools you already run. The table below shows where each operates.

Comparison of IntegraCI and an AI software-delivery platform across where each starts, centre of gravity, security, AI, breadth versus depth, multi-tenancy, and hosting.
Dimension An AI delivery platform IntegraCI
Where it starts After code. The suite shines once a change is written, automating build, test, release, deploy, and operations with AI across many modules. At the first commit. Golden paths, security gates, and policy ride along from plan and code, so the controls are there before a change can drift.
Centre of gravity AI automation of delivery and operations. A wide catalogue of modules you adopt to cover more of the lifecycle. Governance and secure-by-default. Policy, a tamper-evident audit trail, and tenant isolation are the foundation, with delivery gated on top of the tools you run.
Security A security-testing capability among many modules. Strong on its own, wired in where you enable it. Secure-by-default. Scans gate the pipeline and a build that breaks policy is blocked before it promotes; the gate is part of the platform, not a module to switch on.
AI in the workflow AI assistants spread across modules to speed each task. Governance of that AI is configured per module. One governed AI gateway: human-in-the-loop approvals and policy gates on every agent action, with usage audited in one place.
Breadth vs depth Breadth. Many first-party modules to standardise on, which is powerful if you adopt the suite end to end. Depth on governance plus reach through connectors. You keep the CI, scanners, and clouds you run; IntegraCI governs them rather than replacing them.
Multi-tenancy Organised around projects and roles, with isolation handled in the application and configuration layers. Database-enforced row-level security keeps tenants apart on its own, so there is no app-layer filtering to trust.
Hosting & licensing Typically adopted as a hosted suite, with self-managed options depending on the offering. Self-hostable to air-gapped infrastructure, or managed. A guided evaluation to begin, self-hosted to air-gapped or managed.

"An AI delivery platform" here means the category of broad, AI-driven software-delivery suites in general, not any one product. This comparison reflects a difference in scope (automating delivery after code versus governing the whole SDLC), and the two can be complementary.

What you get at the centre

Three things that come before the automation, not after.

AI can move work forward quickly. Governance decides whether it should, records it, and keeps it inside policy. These are the controls IntegraCI keeps at the centre, from the first commit onward.

  • Secure by default

    Gates run on the paved road, so the secure path is the default path. A change that breaks policy stops before it ships, not after.

  • Governed AI

    One AI gateway, human-in-the-loop approvals, and policy gates on every agent action keep automation inside the rules you set.

  • Provable isolation

    Database-enforced row-level security keeps tenants apart, and a tamper-evident audit trail proves what the platform did.

An honest fit check

It comes down to breadth or governance.

A broad AI delivery suite and IntegraCI emphasise different things, and some teams will run both. It comes down to whether your sharpest need is a wide suite to automate delivery, or a governance layer that gates and audits the whole SDLC over the tools you already run.

IntegraCI is the better fit when…

  • You want governance, security gates, and an audit trail at the centre, across the whole lifecycle, not bolted on after code.
  • You would rather orchestrate the CI, scanners, and clouds you already run than migrate onto one vendor suite.
  • You are in a regulated vertical and need database-enforced tenant isolation, policy-as-code, and compliance evidence on day one.
  • You want AI in the loop, but only inside policy gates and human approvals.

A broad AI delivery suite might fit better when…

  • Your sharpest need is to automate delivery and operations with AI, and you want a broad first-party module suite to do it.
  • You are happy to standardise end to end on one vendor and adopt its modules in place of tools you run today.
  • Governance, isolation, and compliance evidence are needs you already meet with your own tooling.

Govern the whole SDLC, over the tools you run.

Request a demo and run secure-by-default gates, governed AI, and a tamper-evident audit trail across the pipelines and tools you already use. Or talk to us about a self-hosted rollout.