Normalized claim
Time: 10 hours decrease
Teams report saving over 10 hours per RFI response.
How Kepler democratized AI access and enhanced client services with Amazon Q Business
Use case typeStaff assistantUpdated Jun 13, 2026
Kepler Group, a global digital marketing agency, implemented Amazon Q Business inside its Kepler Intelligence Platform to give employees secure AI access for internal workflows and client work. The solution connects to Amazon S3-centric data sources, supports chat history and file upload capabilities, and is secured with AWS Identity and Access Management and single sign-on.
- Organization
- Kepler Group
- Industry
- Professional Services
- Location
- United States
- Published
- June 2025
Reported outcomes
10 hours
timeTime & speed
2.7 hourstime−87%time
Strategic outcomes
New product / capabilityAdded secure enterprise AI assistant capabilitiesCustomer experience & trustEnhanced client service deliverySpeed & agilityDeployed AI solution within weeksScale & capacityScaled from pilot to enterprise rollout
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 2.7 hours decrease
Employees save an average of 2.7 hours per week in manual work, and user satisfaction exceeds 87%.
Normalized claim
Time: 87% decrease
Employees save an average of 2.7 hours per week in manual work, and user satisfaction exceeds 87%.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Kepler Group
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Blog
The solution was deployed within weeks and expanded from a 10-person pilot to 100 users, with plans for 500+ employees
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Enterprise Knowledge Assistant
- 2Workflow Automation
- 3Internal Productivity
- Kepler needed enterprise-grade AI with conversation context and file upload support while meeting strict ISO 27001 security requirements.
- Previous AI tooling lacked chat history and file upload capabilities, forcing users to rewrite prompts and re-enter background information repeatedly.
- Kepler adopted Amazon Q Business and integrated it into the Kepler Intelligence Platform as Kip AI.
- The implementation uses connectors to Amazon S3, Google Drive, and other data sources, with access controlled by AWS IAM and SSO, and uses Amazon Q Business apps to create no-code workflow solutions for daily tasks.
- Teams report saving over 10 hours per RFI response.
- Employees save an average of 2.7 hours per week in manual work, and user satisfaction exceeds 87%.
- The solution was deployed within weeks and expanded from a 10-person pilot to 100 users, with plans for 500+ employees.
Architecture
Kepler integrated Amazon Q Business into its Kip AI platform, connecting it to Amazon S3-centered data sources and other connectors, securing access through AWS IAM and SSO, and using Amazon Q Business apps to provide no-code internal workflows for employees.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: Jun 9, 2025Publisher: AWSEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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