Workflow automation for financial services
and insurance teams.

Yes. Kestra integrates with Guidewire, Duck Creek, and legacy policy and claims cores via JDBC, HTTP, SFTP, Kafka, and MQ. Orchestrate FNOL intake, fraud scoring, underwriting referrals, policy issuance, billing events, and renewals, all with four-eyes approval gates, document handling, and immutable audit trails.

Yes. Kestra sits alongside your core banking, ledger, card, and payment platforms. It connects them to data systems, case tools, partner APIs, and customer-facing services, so you can modernize incrementally without a big-bang migration.

Every flow is YAML in Git. Every execution is immutable and replayable. RBAC enforces least privilege per namespace. Audit logs stream to your SIEM. Lineage ships with each run. Four-eyes approval gates are a first-class flow primitive, ready to enforce SOX, BCBS 239, Solvency II, DORA, and internal controls for regulatory submissions, payout approvals, and underwriting decisions.

Yes. Orchestrate document intake from SFTP, email, web forms, and portals; run OCR and LLM extraction; screen against sanctions and adverse-media lists; pause for human review; and post the decision back to core systems. One declarative flow covers KYC, KYB, claims documents, and servicing paperwork.

Yes. Plugins for JDBC (DB2, Oracle, Teradata, SQL Server), SFTP/FTPS, JMS/IBM MQ, Kafka, and shell execution for CICS interfaces. Most institutions start by wrapping existing jobs, then modernize incrementally. No big-bang migration required.

Kestra is designed to replace them. Banks, insurers, lenders, and investment firms consolidate onto Kestra to retire Cron, Control-M, Autosys, Airflow, and hand-rolled schedulers. One control plane for data, infrastructure, and business workflows, with a plugin ecosystem spanning mainframe to cloud.

Yes. The PagerDuty plugin fires events on flow failures, SLA breaches, or any conditional branch. Route by severity, deduplicate with custom keys, and attach the full execution ID so on-call engineers can replay the failing run in one click. Works the same way for claims pipelines, reconciliations, and regulatory submissions.

Yes. Teams migrate off VMware Aria Automation, Aria Orchestrator, vRealize, and similar cloud-automation suites onto Kestra to unify cloud provisioning, platform automation, and business workflows in one declarative engine. Terraform, Ansible, shell, Python, and native API plugins cover the same provisioning and governance scenarios, with Git-backed flows, RBAC, and audit built in.

Kestra Enterprise runs fully self-hosted in your private cloud, VPC, or air-gapped datacenter with no egress required. Workers sit on-premise; the control plane can live in a different zone. Kestra Cloud runs in EU or US regions. Pick the one that fits your jurisdiction, with no cross-region data transfer.

Native integrations with HashiCorp Vault, AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, and CyberArk. Secrets are scoped per namespace, per tenant, per flow, and never written to logs.

Yes. Kestra is Apache 2.0. Enterprise Edition adds SSO, RBAC, multi-tenancy, worker groups, advanced audit, and 24x7 support. Start with OSS. Upgrade when you need enterprise governance.

Yes. Orchestrate on-chain events, stablecoin settlement, wallet reconciliation, and buy-now-pay-later authorization alongside SWIFT, SEPA, and card rails. The same declarative model covers traditional and digital asset flows.

Airflow is Python-only and designed for data engineering DAGs. Kestra runs every language — Python, Java, R, shell, SQL — via declarative YAML, with built-in human approval gates, four-eyes controls, mainframe connectors, and immutable audit trails that Airflow lacks. Banks and insurers choose Kestra to replace Airflow when workflows extend beyond data pipelines into core operations, compliance, and business process automation.

Control-M and Autosys are agent-based schedulers designed for batch. Kestra is event-driven, API-first, and runs in containers on Kubernetes. It handles the same batch scheduling workloads plus real-time event-driven flows, human approvals, and modern cloud-native integrations — with Git-backed flows instead of proprietary configuration. Financial services teams migrate from Control-M to Kestra to reduce licensing costs, eliminate batch windows, and unify data, infrastructure, and business workflows on one platform.

Common tools include Control-M, IBM Workload Automation, Autosys, Stonebranch, Apache Airflow, and homegrown Python schedulers. Kestra replaces all of them on a single open-source engine — running batch, event-driven, and human-in-the-loop workflows side-by-side, with YAML-backed flows in Git, self-hosted deployment, and a plugin ecosystem spanning mainframe to cloud-native.