Mike Kappel — principal software architect

What Mike Kappel works on

Mike's work centers on decisions that become expensive when they remain implicit: how to modernize a business-critical .NET and SQL system without behavioral drift; how to evaluate an AI-enabled workflow before production; how to preserve human authority over consequential actions; how to map integration and recovery dependencies; and how to leave a client with usable evidence rather than consultant-only knowledge.

The public content is organized around architecture, evidence, evaluation, reliability, and handoff. It is not presented as a substitute for legal, audit, clinical, safety, or certification work.

• Microsoft application and SQL modernization
• Machine-intelligence and agentic-system architecture
• AI evaluation, release decisions, authority, and recovery
• Integration, dependency, and reliability decision records
• Public-safe buyer evidence and client-owned technical artifacts

A principal-led delivery model

Principal-led means the person accountable for the architecture participates directly in discovery, evidence review, decision facilitation, and the final technical record. It does not imply that one person should perform every implementation task or replace a client's internal team.

Partners and specialists may be appropriate when a decision requires domain, platform, security, accessibility, legal, clinical, or implementation depth outside the bounded architecture scope. Their roles should be named rather than hidden behind an undisclosed delivery bench.

How the public guidance is produced

Technical guidance begins with a decision question, a source hierarchy, and explicit claims boundaries. Current primary standards, official specifications, organization-authored evidence, and first-party technical documentation are preferred. Market reports are kept separate from public claims about named organizations.

Drafting may use software and AI-assisted methods, but publication remains a human editorial decision. The author is responsible for checking claims, sources, dates, internal consistency, sensitive-content boundaries, and whether the page actually helps a technical or executive reader make a better decision.

What this profile does not assert

This profile does not claim degrees, certifications, security clearances, public-sector registrations, named customers, employment history, awards, or performance metrics that have not been independently verified and approved for publication.

The absence of a public claim should be read as not asserted, not as a negative statement. Procurement-sensitive facts can be handled through an appropriate controlled request route when verified evidence exists.

Author and review responsibility

Mike Kappel is the default named author for the site's machine-intelligence, agentic AI, modernization, reliability, and evidence content. Each managed page records a publication or review date. Material technical changes should reopen review rather than relying on an old page because its URL remains stable.

Corrections should update the page, review date, structured metadata, public data, and applicable long-term memory records together. The editorial standards page explains that process in more detail.

Start with the blocked decision

The most useful first conversation is usually not a request for a large transformation. It is a bounded question: which workflow should be evaluated, which system boundary is unclear, which architecture choice is blocking delivery, which recovery assumption lacks evidence, or which buyer question cannot be answered consistently.

Public inquiry should remain public-safe. Do not send credentials, private source code, customer records, protected health information, financial account data, classified or export-controlled information, or confidential production architecture through the public form.