About

Founder-led, systems-first

Eigenvalue Systems is led by Jason Chaidez. He scopes the work, builds the work, and is accountable for the work. The company voice says "we"; the responsibility is singular.

Jason's path runs through both sides of the systems he now builds. Years inside finance and accounting operations, across public accounting, property and multi-entity management, nonprofits, insurance, real estate, and operating companies, meant living with the work as it actually happens: the exports, the reconciliations, the approvals, the month-end that depends on one person remembering.

Today he builds automations, internal tools, and financial and quantitative models inside aerospace, alongside independent work through Eigenvalue Systems. That combination is the company's edge: systems designed by someone who has been accountable for the numbers they produce.

Why finance matters

Financial work imposes a discipline most software never faces: results must balance, tie to source, survive review, and remain explainable months later. Evidence, approvals, and traceability are not features there; they are the ground rules. Eigenvalue carries those rules into every system it builds, whether or not the system touches a ledger.

Broader than finance

The same systems thinking applies wherever important work runs on manual effort: operations, documents, communications, models, and the internal software a business wishes existed. Finance is the source of rigor. It is not the boundary.

Practice flow
  1. The work as it is
  2. Map + boundary
  3. Build + verify
  4. Human judgment
  5. Operating system
  6. Evidence
The practice in one line: understand the operation, define the control boundary, build, verify, hand over.

Operating principles

  1. Understand the real process before selecting the tool
  2. Keep human judgment where uncertainty or authority requires it
  3. Make every important output traceable to its source
  4. Design for failure, retries, exceptions, and reversibility
  5. Prefer systems the client can own and understand
  6. Use models where they outperform deterministic logic, not where they merely look impressive
  7. Treat security, access, and confidential data as architecture requirements

Confidentiality and ownership

Client work is confidential by default. Internal and employer systems are described only at a level that exposes no organization, program, data, or proprietary method. Ownership, licensing, and any reusable components are defined in writing for each engagement, and deliverables include the source, documentation, and knowledge needed to operate without dependency. Where this site marks something as representative capability, that is exactly what it means, and nothing more.

Full founder profile: Jason Chaidez →