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

Software engineering
is going agentic.

The shift is already happening. AI agents that handle entire development tasks, from ticket to merged PR, without a human writing a line of code. Automated code review that catches real bugs, not just style nits. Test generation, regression detection, deployment pipelines that run themselves. This isn't a research demo. Teams are shipping production code this way right now.

But most teams are stuck in the early stages. They've got Copilot autocomplete and maybe a chatbot, and they're calling it AI adoption. The real transformation is further out: agents as first-class members of the engineering team, with defined roles, structured oversight, and progressive autonomy. Getting there without breaking what already works is the hard part. That's what we do.

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
Agentic Engineering Readiness
How close is your team to working alongside AI agents, and what's the path to get there.
  • Where you are on the progression from copilot to autonomous agents
  • Agentic workflows: agents that take a ticket through code, test, and PR
  • Governance and oversight: what runs autonomously, what needs a human in the loop
  • Starting simple and adding complexity only when the simpler approach fails
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, agentic engineering went from research demos to production-ready practically overnight. Doug dove in completely. He's been deep in the shift every day since, working across multiple engineering teams, helping developers move from AI-assisted coding to true agentic workflows where agents handle entire tasks end to end. Not the theory. The actual daily work of building agents, defining their roles, and putting the right guardrails in place.

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.