Strategy. Architecture. Execution.
Turn AI opportunity into real-world results.
Mishkin Enterprises LLC provides AI-first software development, technology strategy, software modernization, and fractional CTO leadership. We design and deliver production-grade software around clear business outcomes, disciplined engineering, and operational reality.
◆ PRACTICAL AI SOLUTIONS
◆ ENGINEERING DISCIPLINE
◆ PRODUCTION FOCUS

Bryan Mishkin
Founder & CTO · Mishkin Enterprises LLC
Three ways to work together
Flexible engagement models, from focused technical guidance to hands-on delivery.

Strategic advisory
Focused technology strategy and AI advisory for architecture, product delivery, engineering decisions, modernization, and technical risk.

Delivery engagements
AI-first software development built around a defined outcome, explicit responsibilities, production-grade implementation, and validation against users and operations.

Ongoing CTO leadership
Fractional CTO leadership for architecture, priorities, engineering teams, AI adoption, software delivery, modernization, and technical risk.
The Mishkin Method
A disciplined AI-first delivery loop.
AI is used throughout the lifecycle to accelerate iteration. Human judgment remains responsible for architecture, security, testing, operations, and the final decisions.
01 Define the Outcome
Start with the business outcome and operational reality.
02 Iterate the Specification
Refine requirements, rules, workflows and boundaries with AI.
03 Iterate Possible Solutions
Explore workflows, architectures and implementation options.
04 Implement at Production Grade
Build the selected solution with production engineering discipline.
05 Validate Against Reality
Test working software against users, specifications and operations.
06 Go Live and Continue
Use production learning to correct, improve and extend the system.
Production is the standard.
The meaningful test of AI-assisted engineering is not whether it can make a compelling prototype. It is whether the approach can deliver software that survives users, security requirements, integrations, changing requirements, and day-to-day operation.
Business outcome first
Start with the result the organization needs, not with a model, framework, or pile of generated code.
Engineering still matters
Architecture, testing, security, integrations, observability, and operational discipline remain part of production delivery.
Reality closes the loop
Working software is validated against users, specifications, and what the system actually reveals once it is operating.
Let’s build what’s next
Have a software initiative that needs to become real?
Tell me the outcome, where things stand today, and the constraints that matter. We can determine the right engagement from there.