What Travis is looking for now
Improve workflows with practical systems your team can actually use.
Travis helps organizations redesign real workflows, connect the data those workflows depend on, and build decision-support tools that reduce friction without removing human accountability. His value is in understanding the workflow, the handoffs, the systems of record, the people who own decisions, and the controls required to make automation safe enough to use.
The goal is not to buy more software. The goal is to make the work flow better.
Career input map
Every chapter points toward workflow-first improvement.
When existing SaaS tools are the right answer, use them. When they add cost without fixing the workflow, build the minimum durable system instead.
PhD / Head Tutor
Taught complex material and built an Excel macro sign-in system to replace a clipboard workflow.
Carry forward: workflow automation starts with watching where people lose time.
Tesla
Structured supplier evaluation, requirements gathering, test planning, and lab buildout during hypergrowth.
Carry forward: good decisions require clear requirements and comparable data.
Faraday Future
Architected requirements systems, workflow automations, configuration processes, and enterprise data-flow maps.
Carry forward: systems of record must agree on what is true.
Rivian
Built change-control, traceability, product-configuration, and issue-resolution mechanisms during scale-up.
Carry forward: scale requires rules for information change and approval.
Ampaire
Owned requirements, suppliers, budget, testing, certification strategy, and stakeholder alignment.
Carry forward: safety-critical work requires traceable decisions and clear ownership.
Kyma
Built a company operating model: team, roadmap, headquarters, suppliers, partners, IP, revenue, and execution rhythm.
Carry forward: transformation is the operating system that makes execution possible.
Lucid
Built engineering knowledge and workflow tools combining a structured knowledge base, internal web app, and retrieval support.
Carry forward: useful tools start with workflow design and knowledge architecture.
Workflow Systems
Workflow discovery, data architecture, controls, adoption, and measurement.
Human-Centered Technology
Systems that strengthen judgment, preserve accountability, and improve how people make decisions together.
Transformation model
How Travis Improves Workflows
Map the real workflow
Inputs, handoffs, decisions, rework, approvals, tools, owners, and failure points.
Find friction
Prioritize high-frequency, high-cost workflows where improvement creates measurable value.
Define data
Identify systems of record, ownership, access rules, quality gaps, and integration points.
Build minimum durable system
Prototype the lightest app, automation, knowledge base, or integration layer that proves value.
Keep humans accountable
Design permissions, review points, audit trails, approvals, and ownership from day one.
Measure and scale
Track time saved, cycle time, throughput, quality, adoption, and business value.
Example deep dive
What Faraday Future Taught Travis About Workflow Systems
At Faraday Future, Travis learned how much of an organization's execution quality depends on how information moves between systems. A part-level attribute does not simply live in one place. It moves through product definition, requirements, release, change control, procurement, inventory, manufacturing execution, and ultimately vehicle build.
Travis mapped the flow from PLM into SAP/ERP and MES at an attribute-by-attribute level across release and change-management cycles from prototyping into production. That experience shaped his view of workflow tooling: automation is only useful if it respects the data, ownership, permissions, and state changes behind the workflow it is being asked to support.
Software can assist this workflow only after the truth path is mapped.
Where Travis can help
Practical workflow improvement without SaaS sprawl.
Workflow discovery
Map end-to-end workflows, define owners, and prioritize where automation or better tooling can create measurable value.
Enterprise data mapping
Connect workflows to PLM, ERP, MES, CRM, Jira, SharePoint, Confluence, knowledge bases, databases, and internal tools.
Tool and platform design
Design supported workflows with clear inputs, outputs, permissions, escalation paths, and human accountability.
Knowledge architecture
Turn fragmented documents and scattered repositories into structured knowledge that people and internal tools can use.
Pilot-to-scale execution
Build quickly, test in real work, measure results, iterate, and scale only what proves value.
Governance and controls
Define decision rights, auditability, review points, data access, and safety controls.
Practical CTA
If your workflows are ready to improve, but your systems are not, Travis can help.
Travis is looking for roles, consulting engagements, and collaborations where he can help businesses turn messy workflows into safe, measurable, software-supported systems.