The partnership helps enterprises engineer business processes that use governed data to drive automation and agentic AI execution across connected systems.
Dispatch Integration, a business systems consulting firm specializing in workflow automation, enterprise application orchestration, and business process engineering, today announced a new partnership with Databricks, the Data and AI company. The partnership strengthens Dispatch’s ability to help enterprises operationalize data as an execution asset, ensuring data is trusted, usable, and embedded directly into the workflows and processes that run the business.
AI and agentic automation are now part of nearly every enterprise roadmap, but most organizations are still not ready to scale responsibly. The limiting factor is rarely model selection. It is trust in data being properly and securely usable across systems. A single bad record can break automations, disrupt business operations, and create downstream risk. Dispatch and Databricks together address this challenge by helping organizations engineer business processes that use governed data in a consistent, reliable way, so automation and agentic AI can be executed with confidence.
The Databricks Data Intelligence Platform democratizes access to analytics and intelligent applications by marrying customers’ data with powerful AI models tuned to their business’ unique characteristics. The platform is built on a lakehouse foundation of open data formats and open governance to ensure that all data is completely within the customers’ control. With Databricks as the data intelligence foundation, Dispatch is able to apply its business process engineering services through systems orchestration to help enterprises put that intelligence into action inside day to day operational workflows.
“Enterprises are not struggling to imagine AI. They are struggling to trust the systems that AI depends on,” said Cameron Hay, CEO of Dispatch Integration. “When one record can break something like a commission workflow, the issue is not the strategy. The issue is data integrity inside the processes that keep the business moving. This partnership with Databricks helps us bring a pragmatic, execution-first approach to data readiness so customers can automate responsibly and scale agentic AI with confidence.”
Dispatch has long been data-agnostic in tooling while opinionated about outcomes, and the partnership formalizes an expanded focus on what Dispatch sees as non-negotiable for modern automation: data stewardship, quality controls, and resilience built directly into business process design. Many service providers draw a hard line around data and treat it as a customer-only responsibility. Dispatch takes the opposite view. If data powers the workflow, data quality is part of delivering the outcome.
“We are seeing the world shift from moving data to using data,” said Gavin Hay, CTO of Dispatch Integration. “The practical value is not in the dashboard. It is in the orchestrated workflow. Data needs quality checks and governance built into the moment it is ingested and the moment it is used, especially as more of the work is executed by automation and agents. Adding Databricks to our data offering, we can help customers turn trusted data into reliable action across their enterprise processes.”
Through this partnership, Dispatch will support joint customers by focusing on the foundations required for dependable execution:
- Business process engineering for both automation and agentic AI, mapping where human steps, automations, and agents fit, and designing workflows that can scale without fragile workarounds.
- Actionable data embedded into operational workflows, so data triggers the right actions in the systems that run HR, finance, and operations.
- Data curation and stewardship, including practical standards for data quality and ownership tied to real business processes, not abstract governance models.
- Integration resilience and reliability, reducing workflow failures caused by data issues and preventing repeated incidents that create operational disruption.
- Governance that supports execution, establishing controls that keep data trusted over time and prevent data entropy from eroding automation and agent performance.
This partnership reflects Dispatch’s broader shift toward value-based services that create durable outcomes for customers. As AI accelerates delivery and compresses traditional project timelines, Dispatch is investing in approaches that improve execution quality and reduce risk, with trusted data as a core requirement.
About Dispatch Integration
Dispatch Integration is a business process engineering and technology consulting firm that orchestrates enterprise systems to empower the people who use them. We solve complex operational challenges with intelligent, adaptable, and scalable solutions that connect data, technology, teams and AI agents for maximum impact. From integrating mission-critical applications to optimizing enterprise systems like Workday and developing custom business apps, we help organizations move faster, work smarter, and focus on what matters most.
Cameron Hay is the CEO of Dispatch Integration, a data integration and workflow automation company with clients in Canada, US, Europe and Australia. He has over 30 years of leadership experience in various technology-oriented industries.
