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Technology Investment Intelligence, AI Governance & Readiness Platform

Executive Summary

ShipReady analyzes your code, security, AI readiness, technical debt, modernization, and governance from your real systems. It then returns prioritized recommendations that tell you what to fix, why it matters, the business impact, the expected ROI, and the investment priority.

Connect

Your real systems

Observe

One score, nine domains

Fund

ROI-ranked priorities

Fix

Highest-impact work first

Readiness · Control · Autonomous

Readiness

You can see what's true.

What gets measured

Control

You decide what happens to it.

How evidence works

Autonomous

It acts for you.

See the tiers

Connect

Integrations

  • GitHub
  • GitLab
  • Azure DevOps
  • Atlassian
  • AWS
  • Azure
  • GCP
  • Oracle Cloud
  • Vercel
  • Supabase
  • Datadog
  • Dynatrace
  • Splunk
  • Elastic
  • OpenAI
  • Anthropic

OpenAI and Anthropic feed AI spend into the AI ROI score through one connector. Each integration carries an honest verification badge on its setup guide, whether it has been run against the real provider API, or is built and tested against the documented API shape and awaiting a live tenant.

Observe

Technology health

ShipReady Score

78

Illustrative example

B
Delivery Health (DORA)81
Security Readiness72
Technical Debt64
Lifecycle Risk69
IT Modernization63

Executive visibility

One trustworthy read on technology health for CEOs, CTOs, boards, and investors.

Board reporting

A one-click Board Pack, generated from live, scored data.

Fund

Technology dollars

Spend

Better investment decisions

Each recommendation shows its expected ROI, so you fund the highest-return work first.

Raise

M&A and due diligence

When you raise, sell, or get acquired, prove your technology's health with the ShipReady Passport, an evidence-backed report you can share.

Fix

What matters

Increase Productivity + Ship faster

Accelerate AI adoption

Reduce technology risk

Reduce technical debt

Improve software quality

IT modernization

Outcomes

Business outcomes

The results leaders and boards work toward once technology decisions run on evidence. ShipReady helps remove the barriers in the way; it does not guarantee a specific result.

  • A stronger valuation story
  • Investor confidence
  • Customer trust
  • Lower operating costs
  • Stronger compliance posture

Evidence

Research and industry validation

AI does not automatically make an organization faster. It amplifies the engineering foundations already in place, so realizing its full productivity potential depends on strengthening them first. ShipReady Metrics is built around that finding, and the research behind it, rather than marketing claims. Leading studies consistently find that organizations capture the most value from AI when they pair it with strong engineering practices: governance, software delivery capability, architecture, security, modernization, and operational excellence.

Google Cloud DORA

DORA 2025 State of AI-assisted Software Development Report

The report frames AI as an amplifier: it magnifies the strengths of high-performing organizations and the dysfunctions of struggling ones.

Why it matters. The value of AI is bounded by the engineering foundations underneath it. ShipReady measures those foundations so the amplifier works in your favor.

Read the research

Google Cloud DORA

Introducing the DORA AI Capabilities Model

DORA identifies seven technical and cultural capabilities that amplify the benefits of AI in software development, rather than treating AI adoption as a goal on its own.

Why it matters. Those capabilities span platform, quality, and delivery practices, exactly the signals ShipReady scores and turns into a prioritized plan.

Read the research

McKinsey

Unlocking the value of AI in software development

McKinsey found that giving developers AI tools alone does not move the needle. The organizations capturing the most value rearchitect how they build and embed AI across the whole lifecycle, with top performers reporting double-digit gains in productivity, time to market, and software quality.

Why it matters. Value comes from the surrounding engineering system, not the tool. ShipReady shows where that system is strong and where it is holding AI back.

Read the research

McKinsey

Unleashing developer productivity with generative AI

In McKinsey's study, generative AI roughly halved the time for common tasks such as documentation and code generation, but the gains fell to under 10 percent on high-complexity work and depended heavily on developer skill and oversight.

Why it matters. AI speeds routine work, not hard problems on shaky foundations. ShipReady targets the technical debt, testing, and architecture gaps that decide how much of that speedup you actually capture.

Read the research

GitHub, Microsoft Research, and MIT

The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

In a controlled experiment, developers with access to an AI pair programmer completed a task 55.8 percent faster than the control group.

Why it matters. Real productivity gains are possible when the code, tests, and delivery pipeline are ready for them. ShipReady measures that readiness first.

Read the research

Findings above are paraphrased from the linked sources and are not direct quotations. Follow each link to read the original research.

See where to invest next

Connect your systems and get a prioritized, ROI-ranked view of your technology in minutes.

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