Alpha Data Capital combines workflow design, data engineering, agent controls, evaluation, and operating evidence around one production decision.
We work backward from the decision, the people accountable for it, and the evidence they need. That keeps model selection, cloud architecture, integrations, security, and change management connected to a measurable workflow outcome.
Map a workflowQualify one workflow and define the business baseline, system boundary, controls, evaluations, dependencies, and production roadmap before a build begins.
Build an agent that uses only approved tools and data, respects human decision authority, and records the evidence required to review what happened.
Test representative, edge, and adversarial scenarios before release, then monitor the behaviors that matter after the workflow is operating.
Prepare the minimum data surface needed for the workflow, including lineage, quality checks, access rules, retrieval, and observability.
No production promise before access is known. Integration, identity, data quality, security review, and stakeholder availability materially affect delivery.
No “fully autonomous” theater. Human authority stays explicit wherever a workflow carries legal, clinical, financial, or material operational consequence.
No single-field view of sensitive data. The control map covers the workflow’s actual data classes, permissions, retention, and exposure paths.