Redesign the work.
Mike Collins argues for rethinking how jobs and workflows function—not simply adding AI to old processes.
Read CEO perspectiveProduct thinking, connected workflows, and practical AI implementation around the systems you already have.
Aligned with your public priorities
Leadership and hiring signals point to AI-enabled workflows—not just new AI tools.
Mike Collins argues for rethinking how jobs and workflows function—not simply adding AI to old processes.
Read CEO perspective ↗The role calls for practical, cross-functional AI workflows, consistent methods and adoption.
View careers ↗Earlier public role descriptions referenced reporting, data integrity, integrations, and operational modernization.
The opportunity is dependable execution across people, data, and systems—not access to AI itself.
A hypothesis based on public material; not an assessment of Alumni Ventures' internal systems. Earlier job links may no longer be active.
Where I complement the technology team
Strong technical capability creates value when the entire workflow is understandable, useful, and trusted.
Decisions, roles and accountability
Approved records, tools and APIs
Focused, fit-for-purpose assistance
Source visibility
Clear ownership
Built-in human review
One example worth validating with your team
A possible workflow informed by published investor-operations and engineering priorities.
Read only the source data and documents the workflow is allowed to access.
Flag missing fields, mismatches and control totals using ordinary code.
Prepare traceable summaries and suggested routing, linked to sources.
A responsible person approves any material change or external output.
This is a hypothetical candidate workflow, not a claim about AV's current systems. Financial calculations and consequential decisions remain outside generative AI.
How I would work with your team
Start with one real task, a process owner, and someone from technology—not a company-wide AI replacement.
Observe the task. Identify owners, permissions, handoffs and the baseline.
Integrate approved systems, APIs, source records and business rules.
Use focused AI only where useful, with a practical review interface.
Assess accuracy, speed, risk, usability and whether the team adopts it.
What I bring to your existing team
A complementary mix of product, UX, software workflows, applied AI, and communication.
Research, interaction design, stakeholder alignment, iterative testing, and turning ideas into usable digital products.
A practical next conversation
One process owner + one engineer. Understand what's already solved, locate one meaningful friction point, and decide whether a small prototype is warranted.
Product design · AI workflows · practical implementation