What challenges did ComplyAdvantage face before AI implementation?

The company needed to scale multi-cloud platform development and support workflows while dealing with legacy code, limited documentation, and time spent on debugging, unit test generation, and root-cause analysis. It also needed to maintain runtime service SLAs while improving developer productivity.

What was the impact of the AI solution?

Support teams processed more than 500 requests through Gemini with 75% accuracy in spot-checks. The company reported that root-cause identification moved from hours to minutes. The solution helped the team maintain a 4-9 second SLA for runtime services and enabled the on-time release of a major new offering.

Source

GCPProductionEvidence: High75/100

ComplyAdvantage improves engineering development time with Gemini Code Assist on Google Cloud

Use case typeDeveloper productivityUpdated Jun 20, 2026

ComplyAdvantage used Gemini Code Assist to improve engineering productivity across a 170-person engineering group. The company first ran a pilot with 20 senior developers and then rolled the tool out to the broader development team. Developers used Gemini Code Assist for brownfield code navigation, code summaries and explanations, customer support request triage, and faster root-cause analysis. ComplyAdvantage also used Jellyfish analytics with Jira and GitLab data to measure productivity impact.

Organization: ComplyAdvantage
Industry: Finance
Location: United Kingdom
Published: June 2026

Reported outcomes

Support requests processed: More than 500 requests

Other quantified impact

Planned next steps

The pilot group saw a 42% reduction in median development time.

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Median development time reduction: 42% decrease

Google Cloud Customer StoryJun 20, 2026Customer storyExplicit claimHigh evidence strength

42% reduction in median development time for pilot group

Normalized claim

Median development time reduction: 37% decrease

Google Cloud Customer StoryJun 20, 2026Customer storyExplicit claimHigh evidence strength

37% median reduction in development time

Normalized claim

Support requests processed: 500 requests increase

Google Cloud Customer StoryJun 20, 2026Customer storyExplicit claimHigh evidence strength

the engineering team processed more than 500 support requests through Gemini

Normalized claim

Support request accuracy: 75% increase

Google Cloud Customer StoryJun 20, 2026Customer storyExplicit claimHigh evidence strength

The tool achieved 75% accuracy in spot-checks

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: ComplyAdvantage
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Story

After the pilot, it fully rolled out Gemini Code Assist to the broader development team

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Developer productivity
2Workflow automation

ComplyAdvantage piloted Gemini Code Assist with 20 senior developers across three global development centers.
After the pilot, it fully rolled out Gemini Code Assist to the broader development team.
The team used the tool to navigate brownfield code, generate code summaries and explanations, triage support requests, and isolate bugs more quickly.
The company used Jellyfish analytics to compare results from Jira and GitLab data.

Technologies

Gemini Code Assist Gemini CLI Jellyfish

Support teams processed more than 500 requests through Gemini with 75% accuracy in spot-checks.
The company reported that root-cause identification moved from hours to minutes.
The solution helped the team maintain a 4-9 second SLA for runtime services and enabled the on-time release of a major new offering.

Sources & evidence2

Evidence: High75/100Evidence strength