KTern.AI builds agentic AI for SAP transformation on Amazon Bedrock AgentCore

Use case typeAgent orchestrationUpdated 4 days ago

KTern. AI built a production agentic AI platform for SAP S/4HANA transformation workloads using Amazon Bedrock AgentCore, with more than 20 specialized agents for reverse engineering, fit-to-standard, code analysis, test generation, process mining, and exception mining. The system uses AgentCore runtime, memory, gateway, identity, observability, and evaluations to provide persistent context, secure tool access, multi-tenant isolation, and traceable enterprise operations.

Organization: KTern.AI
Industry: Professional Services
Location: India
Published: July 2026

Reported outcomes

+99.8%

agent uptimeRisk, reliability & safety

−45%SAP project timelines−60%discovery and assessment time+90%operational exceptions surfaced autonomously480 hours/monthengineering hours reclaimed per month−85%development cycle

Strategic outcomes

Scale & capacityExpanded to a production fleet of 20+ agentsRisk & complianceEnabled secure governed enterprise tool accessCost efficiencyRemoved custom infrastructure work from agent deploymentInnovation & cultureImproved transformation consistency and reliability

Catalog median for risk, reliability & safety deployments: +100% across 57 reported metrics. Compare benchmarks →

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Use case focus

Showing 3 of 3

1Agent orchestration
2ERP automation
3Workflow automation

Traditional consulting and self-managed agent infrastructure could not scale long-running SAP transformation programs across months, while maintaining persistent context, secure governed tool access, multi-tenant isolation, and observability.

KTern.AI configured agents on Amazon Bedrock AgentCore and Strands Agents SDK, delegating orchestration, memory, identity, gateway tool access, observability, and evaluations to managed AWS components.
The platform deploys agents through configuration rather than custom orchestration code and uses multiple agent patterns across SAP transformation tasks.

Technologies

Amazon Bedrock AgentCore Amazon Bedrock Amazon S3 AWS IAM Strands Agents SDK Amazon CloudWatch OpenTelemetry

The article reports 45% shorter SAP project timelines, 60-70% lower discovery and assessment time, 90% autonomous exception coverage, 480 engineering hours reclaimed per month, 99.8% uptime, 85% shorter development cycles, and 70% lower infrastructure costs.

Architecture

KTern.AI separates SAP domain intelligence from infrastructure by hosting specialized agents on Amazon Bedrock AgentCore. AgentCore runtime provides hosting, scaling, and session isolation; AgentCore memory preserves long-running project context; AgentCore gateway (MCP) handles authenticated tool connections to SAP APIs and ERP systems; AgentCore identity enforces least-privilege access; AgentCore observability captures logs, metrics, and traces; and AgentCore evaluations continuously checks agent quality as configurations change. The solution uses Strands Agents SDK with swarm, workflow, and graph patterns, plus Amazon S3 and AWS IAM.

Implementation partners1

SAP

Sources & evidence1

Groundedness: 5/5Type: Blog PostPublished: Jul 10, 2026Publisher: AWSEvidence: VendorConfidence: High

Primary source

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