Marshall Consulting / Engineering

We embed with your
engineering team.

We learn how your team works today, figure out where AI fits, and introduce changes at the right pace. No prescriptions. No disruption. Just practical help from someone who's done the work.

Book a 30-min conversation
The Situation

AI is changing how
software gets built.

Your team knows it. You know it. But knowing and doing are different things. AI-assisted code review, automated testing, agents that handle routine development tasks end-to-end. The tools exist now, and they're mature enough to use in production. The hard part is figuring out which ones actually fit your team, your codebase, and your workflow.

That's not a weekend project. It takes someone who's deep in this space full-time, who's worked across multiple engineering teams and seen what sticks and what doesn't. Someone who can sit with your team, understand how things work today, and introduce the right changes without blowing up what's already working.

How We Work

Understand first.
Then suggest.

We start by listening. Before we recommend anything, we need to understand how your team works today. The tools, the workflow, the culture. What's fast, what's slow, what's frustrating. Every team is different, and the right approach for yours depends on where you're starting from.

Week 1-2
Understand
We sit in on standups, sprint planning, code reviews. We talk to your engineers, your product leads, your CTO. We learn how work moves from idea to production before we suggest anything.
Week 2
Assess
Where are the bottlenecks? Where is AI already mature enough to help? Where would it just add confusion? We give you an honest picture of where you are and what makes sense.
Week 3+
Introduce
The right amount of change, at the right pace. We work alongside your engineers to adopt new practices. Not a training workshop. Hands-on, in the code, in the workflow.
Ongoing
Transfer
Your team owns the practices, the tools, the knowledge. We step back when they're ready. No dependency. No black boxes. The door stays open for the next sprint.
What We Look At

Three areas.
One assessment.

The first two weeks produce a written assessment covering three things. Each one gets an honest evaluation of where you are today and specific recommendations for what to do next.

01
Engineering Process
How work moves through your team. Where things flow, where they stall, and why.
  • How PRs get reviewed and how long they sit
  • How releases ship and what slows them down
  • How work gets prioritized and handed off
  • Where the team feels friction day to day
02
AI-Powered Workflows
Where AI tools can help your engineers today, and which ones are worth adopting.
  • AI-assisted code review that catches real issues
  • Automated test generation and coverage analysis
  • Agentic development for routine tasks, end-to-end
  • What fits your stack and what doesn't
03
AI in the Product
Where AI capabilities belong in your product, if anywhere. Not everything needs it.
  • Customer workflows that AI could improve
  • Features your competitors are shipping with AI
  • What's feasible now vs. what's not ready yet
  • Build vs. buy for AI capabilities
Who

Someone who's been
in the code.

Doug Hathaway
Founder, Marshall Consulting / Miami, FL

20 years building software. Co-founded DadeSystems, a B2B payment automation platform used by Fortune 100 companies, acquired in 2022. Built and managed engineering teams, shipped production systems, holds multiple US patents. MS Computer Science, UCF.

In late 2025, autonomous AI agents went from research demos to production-ready tools practically overnight. Doug dove in completely, working across multiple engineering teams, helping developers adopt AI-powered practices in real codebases with real deadlines. Not the theory. The actual daily work of writing code, reviewing PRs, shipping features.

Staying current in this space is a full-time commitment. New tools and practices emerge weekly. Marshall's job is to stay deep in all of it and translate what works into something your team can use.