Published 20 Jun 2026· via Google Cloud· Customer story
ComplyAdvantage improves engineering development time with Gemini Code Assist on Google Cloud
ComplyAdvantage · Finance · United Kingdom
−42%
median development time reduction
As reported by the source; not independently verified.
Summary
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.
The problem
- 01The 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.
- 02It also needed to maintain runtime service SLAs while improving developer productivity.
What they built
- 01ComplyAdvantage piloted Gemini Code Assist with 20 senior developers across three global development centers.
- 02After the pilot, it fully rolled out Gemini Code Assist to the broader development team.
- 03The team used the tool to navigate brownfield code, generate code summaries and explanations, triage support requests, and isolate bugs more quickly.
- 04The company used Jellyfish analytics to compare results from Jira and GitLab data.
Reported results
- 01The pilot group saw a 42% reduction in median development time.
- 02The production group saw a 37% median reduction in development time.
- 03Support teams processed more than 500 requests through Gemini with 75% accuracy in spot-checks.
- 04The company reported that root-cause identification moved from hours to minutes.
- 05The solution helped the team maintain a 4-9 second SLA for runtime services and enabled the on-time release of a major new offering.
- On-time release of a major new offering
- Root-cause identification moved from hours to minutes
- Faster customer resolution through support triage
- Maintained runtime service SLA while improving productivity
- Broader internal AI adoption and knowledge sharing
Source
Google Cloud
Customer story · 20 Jun 2026
How this deployment compares
Computed from the library · data 10 Nov 2026This is the only ComplyAdvantage deployment in the library. It is one of 18 developer productivity deployments, 3 of them in Finance. Its reported 42% reduction is within the typical range (median 60% across 37 figures).
ComplyAdvantage in the library
The only ComplyAdvantage deployment in the library
Same pattern, whole library
One of 18 developer productivity deployments
- Finance accounts for 3 of them (17%), ranking #2 of 6 industries.
- 6 records of this pattern came before it; 5 have been published since.
- Only 2 of the 18 put a number on the result (11%).
- Distinctive claim: Customer experience & trust outcomes are reported by only 2 peers (11%).
- Distinctive claim: Ecosystem & partnerships outcomes are reported by only 2 peers (11%).
- GCP33%
- AWS33%
- Microsoft22%
- IBM6%
- GitHub Copilot 4
- Amazon Bedrock 3
- Vertex AI 3
- BigQuery 3
- Gemini Code Assist 2
- Amazon Bedrock AgentCore 2
Outlined: used in this record.
Shares describe this library, not the whole market.
Results against peers
42% reduction is within the typical range
Across 37 time & speed figures (Finance), the median reduction is 60%; the middle half falls between 40% and 75%.
This recordMiddle half of peers
- Cost savings22 figures, Finance · middle half 30%–80%45%median reduction
- Customer experience51 figures, all industries · middle half 20%–90%25%median increase
Peer figures are as reported by their sources; percentage claims only.
How we checked this record
Evidence tier: verified
A primary source with a named customer and a supported deployment status.
- Named organization
- ComplyAdvantage
- Who published the source
- The organization itself
- Deployment status
- Production (confidence 95%)
- Quantified result
- The source reports at least one figure
- Summary checked against source
- 5 / 5 agreement
Last re-checked 26 Jul 2026.
This record is evidence for
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