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How Case IQ Uses GitKraken Insights To Quantify AI Impact On Engineering Investments
Featuring perspectives from
David McNeill, CEO, Case IQ
Daemon Whittenburg, VP of Engineering, Case IQ
Challenge
Inability to measure AI ROI in a way engineering leaders could trust; disjointed tooling that reduced developer efficiency & measurability; lack of centralized AI & security controls across the development team
Solution
GitKraken Desktop
GitKraken Developer Experience Platform
Key Outcome
Gained detailed, actionable visibility into how AI is impacting developer productivity, code quality, code health, and developer experience – for engineering leaders, company executives, and its investors
The Challenge
Like many software companies in 2025-2026, Case IQ’s engineering team has been adopting AI-powered development tools to accelerate how they build and ship software. AI coding assistants, automated code review, AI-generated pull request summaries. The tooling is evolving fast, and Case IQ has leaned in.
But as that adoption scales, a familiar question emerges: how do you actually measure whether these AI development tools are making your engineering team more productive, and whether developers are actually benefiting from them?
For a PE-backed company like Case IQ, this question carries extra weight. Portfolio companies are expected to demonstrate measurable returns on technology investments. When the board asks whether AI tooling is delivering value, leadership needs to answer with data, not anecdotes. And with AI budgets growing across the industry, the ability to show concrete ROI can directly influence future investment decisions and resource allocation.
Customer
Industry SaaS / Risk Management
Size 100-250 employees
Headquarters Ottawa, Canada
We're investing heavily in AI because we believe it's transformative for our product and our customers. But when I sit down with our board, they don't want to hear that developers 'feel' more productive. They want to see the data. GitKraken Insights gives us that data.
David McNeill, CEO, Case IQ
The Solution
Case IQ’s engineering team adopted GitKraken Insights to bring objective measurement to their development workflows. The platform gives them visibility into the engineering signals that matter most: code throughput, review cycles, merge patterns, and the impact of AI-assisted development on each.
The setup was fast. Unlike legacy SEI platforms that require months of configuration and six-figure budgets, or DIY approaches cobbled together from scripts and spreadsheets, GitKraken Insights was up and running within minutes, connecting directly to Case IQ’s existing Git workflows.
GitKraken Insights dashboard shows AI impact, code quality, and DORA metrics all in one view.
Before Insights, I could tell you my team was shipping faster, but I couldn't show you exactly where AI was making the difference versus where we still had bottlenecks. Now I can. I can see which workflows are actually benefiting from AI tooling and which ones need a different approach. That changes how I allocate my team's time and attention.
Daemon Whittenburg, VP of Engineering, Case IQ
Built on a Developer-First Platform
Insights is part of GitKraken’s broader developer experience platform, and Case IQ’s engineering team uses several tools across the suite. Developers work daily in GitKraken Desktop (for Windows, Mac and Linux) and GitLens (for VS Code, Cursor, Windsurf, Antigravity and Kiro) for code visualization, collaboration, and Git workflows. GitKraken Automations uses rule-based triggers and AI to automate pull request workflows, from detecting risky changes and assigning the right reviewers to generating PR summaries and enforcing consistent review practices across repos.
Because developers at Case IQ already know and trust GitKraken as part of their daily workflow, the intelligence layer feels like a natural extension rather than a surveillance tool. That trust matters. When the platform measuring your output is the same platform helping you do your best work, adoption is not a problem.
Take A Tour Of GitKraken Insights
Take an interactive tour to see how GitKraken Insights helps teams quantify AI’s impact, spot bottlenecks, and prove engineering ROI.
Get A Demo Of GitKraken Insights
Book your demo for a one-on-one walkthrough of GitKraken Insights featuring real data and actionable engineering intelligence.
The Impact
- Establish a baseline for developer productivity metrics before and after AI tool adoption, creating a clear before/after picture for leadership.
- Identify where AI is (and isn’t) working by correlating AI-assisted development patterns with code quality and throughput metrics.
- Report to the board with confidence, replacing anecdotes with data-backed narratives about engineering performance and AI ROI.
- Make smarter investment decisions about which AI tools and workflows to double down on and which to reconsider.
As a CEO, what I value most is being able to connect our technology investments directly to outcomes. GitKraken Insights makes that connection visible, not just for me, but for the exec team, and our board. When we can show that our AI investments are translating into measurable engineering gains, that builds confidence across the entire organization.
David McNeill, CEO, Case IQ
About Case IQ
Case IQ is a leading provider of investigative case management software, serving ethics and compliance, HR, fraud, and corporate security teams at mid-sized and large organizations worldwide. With over 80,000 investigators on its platform, Case IQ helps organizations resolve workplace incidents efficiently and at scale.
About GitKraken
GitKraken is the AI-powered developer experience platform that fits any developer, any team, any budget. The platform spans developer tools like GitKraken Desktop, GitLens, and Automations with engineering intelligence through GitKraken Insights, giving both developers and engineering leaders what they need to build better software, faster.
See What Insights Can Do for Your Team
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