What challenges did Landbay face before AI implementation?

Rapid growth created data access bottlenecks and slow manual spreadsheet-based audits. Landbay needed trusted self-service data for internal teams, auditors, and clients while improving underwriting and risk visibility.

What was the impact of the AI solution?

Landbay reported 1,000% growth over two four-year periods. 90% of employees use Looker for self-service data insights. Quarterly audit work dropped from about 63 hours to less than half a day, an 81% decrease in audit time.

Rank#979of 3,449

Source

GCPEvidence: Medium50/100

Landbay's mortgage platform turbocharges growth with data

Use case typeRisk assessmentUpdated Jun 13, 2026

Landbay is a UK financial technology company that operates a peer-to-peer lending platform for buy-to-let mortgages. The company replaced spreadsheet-based reporting with Looker on Google Cloud to give internal teams, auditors, and clients trusted self-service access to consistent data. Looker supports real-time portfolio stratification and automatically generated lender-specific reports, helping Landbay scale data-driven decision-making and underwriting oversight.

Organization: Landbay
Industry: Finance
Location: United Kingdom
Published: May 2026

Reported outcomes

−81%

timeTime & speed

+1%quantified impact90%quantified impact63 hourstime

Strategic outcomes

Customer experience & trustProvided trusted self-service data accessBetter decisions & insightEnabled real-time portfolio risk visibilityRisk & complianceAutomated quarterly audit reviewsScale & capacityScaled data-driven decision-making

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

Normalized claim

Quantified impact: 1% increase

Google Cloud Customer StoryMay 22, 2026Customer storyInferred claimMedium evidence strength

Landbay reported 1,000% growth over two four-year periods.

Normalized claim

Quantified impact: 90%

Google Cloud Customer StoryMay 22, 2026Customer storyInferred claimMedium evidence strength

90% of employees use Looker for self-service data insights.

Normalized claim

Time: 63 hours decrease

Google Cloud Customer StoryMay 22, 2026Customer storyInferred claimMedium evidence strength

Quarterly audit work dropped from about 63 hours to less than half a day, an 81% decrease in audit time.

Normalized claim

Time: 81% decrease

Google Cloud Customer StoryMay 22, 2026Customer storyInferred claimMedium evidence strength

Quarterly audit work dropped from about 63 hours to less than half a day, an 81% decrease in audit time.

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

Customer: Landbay
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Story

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Data democratization
2Self-service analytics
3Audit automation

Rapid growth created data access bottlenecks and slow manual spreadsheet-based audits.
Landbay needed trusted self-service data for internal teams, auditors, and clients while improving underwriting and risk visibility.

Landbay adopted Looker to provide self-service access to trusted data across the organization.
The company connected Looker to its data warehouse and used the model and live database connection to generate real-time portfolio stratification reports.
Landbay also automated quarterly audit reviews and produced lender-specific reports without manually building custom reports for each client.

Technologies

Looker

Landbay reported 1,000% growth over two four-year periods.
90% of employees use Looker for self-service data insights.
Quarterly audit work dropped from about 63 hours to less than half a day, an 81% decrease in audit time.

Sources & evidence1

Evidence: Medium50/100Evidence strength