Practical workflows
Cursor, Claude, and ChatGPT workflows for comprehension, planning, implementation, testing, debugging, and documentation.
Flagship engagement
AI Engineering
Accelerator
Install practical AI-assisted development practices, train the team, and leave with a 30-day adoption plan tied to real engineering outcomes.
Shorter delivery cycles
Faster legacy comprehension
Less debugging time
Safer AI adoption
Not AI education
Measured engineering improvement.
Most teams do not need another overview of what AI can do. They need working practices that fit their codebase, delivery process, security posture, and engineering standards.
Greenfield combines hands-on engineering, architecture, technical leadership, and legacy modernization experience to help teams move from scattered experimentation to repeatable, responsible delivery.
What changes
AI practices your team can actually operate.
Engineering guardrails
Standards for review, testing, security, context handling, and accountability so generated code does not become a liability.
Legacy acceleration
Use AI to understand, document, test, and safely change complex .NET and legacy systems without gambling on a rewrite.
Team enablement
Hands-on training for developers, architects, and technical leaders using the work and constraints they face every day.
Prototype recovery
Turn promising demos and stalled experiments into maintainable software with ownership, architecture, and a path to production.
Value and risk clarity
Identify where AI can save time or money, where it creates unacceptable risk, and what evidence will prove the difference.
Ways to engage
Start where the organization is.
Each format is designed to produce a useful decision or working change—not just a presentation.
90 minutes
Executive & Engineering Workshop
Align leaders on opportunities, constraints, priority use cases, and the risks worth managing now.
$1,500–$2,500
One day
Team Working Session
Hands-on training and workflow design grounded in your team, toolchain, and codebase.
$4,000–$7,500
Two weeks · Recommended
Implementation Sprint
Assess the current workflow, install practical practices, train the team, and produce a prioritized 30-day adoption plan.
$10,000–$20,000
Ongoing
Advisory Support
Leadership guidance, workflow refinement, architecture review, and coaching as adoption expands.
$3,000–$7,500 / month
Final scope and investment depend on team size, systems, security requirements, and the outcomes we agree to measure.
Why Greenfield
AI advice backed by people who can modernize the system.
We are not approaching your engineering organization from outside the work. We have led teams, designed enterprise systems, modernized .NET applications, stabilized production platforms, and delivered through complicated transitions.
- Platform and legacy modernization
- Enterprise and solutions architecture
- Fractional and interim CTO leadership
- Hands-on software engineering
- Managed engineering and long-term support
A useful first conversation
Where is engineering losing time today?
Bring a workflow, a legacy-system challenge, or an AI prototype that has stopped moving.
Talk with an advisor