It produces more code than your team can review and more advice than your business can use.
Build the system so the right thing happens by default.
Then let AI do the parts that need judgment.
For tech teams, we build stronger systems around AI-generated software.
For small businesses, we connect the tools, workflows, data, and AI that run the business.
Engineering controls for teams shipping with AI: CI/CD, source control, tested guards, infrastructure, observability, and the systems around production.
Operating controls for businesses running on people and AI: connected tools, automated handoffs, usable data, practical training, and the systems around the work.
AI is good at generating work and helping people move faster. It should not be responsible for remembering every rule that keeps the business working. If a decision can be enforced mechanically, move it into the system.
Talk to BrianAnd we are just getting started.
System Uptime
Always on, always reliable
Faster Deployments
Less downtime, more shipping.
Cost Savings
Cutting waste, boosting efficency.
Increase in Revenue
Tech that fuels business growth.
Brian helped me automate and streamline my accounting practice by teaching me how to structure projects in ChatGPT and eliminate redundant prompts, allowing me to focus on much higher-value aspects of engagements. The engagement was timely, he was patient throughout onboarding, and the results have been meaningful.
Our experience working with Brian has been incredible, he reached out to us and we spoke about teaming up to help grow each other's business. Ever since that day our business has grown year over year, we are extremely grateful for the opportunity we've had, it's more than just 2 businesses working together to grow, it really is a true partnership that has become a friendship. If you're wanting to expand and truly grow your business, We highly recommend working with Brian. Thank you again!
We hired Brian to set up our CI/CD pipeline, configure our GitHub environment, and set up resources in Azure. From the start, he provided realistic timelines, communicated regularly, and adapted to changing requirements. His technical expertise in CI/CD and the software development lifecycle best practices was evident throughout. I highly recommend him to anyone needing a reliable and knowledgeable partner. If you have any sort of devops ci/cd needs, highly, highly recommended!
Working with Brian was a game-changer for our FedRAMP application. He seamlessly plugged into our team and quickly delivered high-quality DevOps solutions that significantly strengthened our security posture and compliance stance. His ability to tackle complex, mission-critical tasks with minimal onboarding and maximum impact was truly impressive. If you need someone who can hit the ground running and drive results on demanding projects, he’s the one to hire
We hired Brian to do DevSecOps work on our FedRAMP Moderate system. We were extremely relieved that we could hand him work that spanned our stack, from AWS infrastructure (Terraform) to configuration (Ansible), to network, security and other tasks that were urgently needed as part of our FedRAMP requirements. We hired him for his expertise in AWS and DevOps, but critically, he understood deep dependencies in our application (Nodejs/Express/Ts.ED) so that he could implement changes without any downtime. Brian worked with our team seamlessly and delivered value on day one. We will certainly retain his services again in the near future.
Brian was great to work with! He was able to quickly internalize my communication about goals and API requirements and did a great job of keeping me up to date on his work and level of effort each week. I would work with him again for AWS infrastructure or dev ops related needs.
Start with the work that only happens when someone thinks of it.
Then decide what the system should handle, what AI should handle, and what still needs a person. Build around that.
See how work actually moves, including the spreadsheets, inboxes, prompts, and workarounds nobody put in the process map.
Separate what needs a person, what a system can handle on its own, and what AI is genuinely good at.
Connect the tools, automate the repeatable work, and introduce AI where it has a real job to do.
Make sure the team knows how the system works, where AI helps, what it shouldn’t be trusted with, and how to improve it.
No. Plenty of work is better handled by a clean workflow, an integration, or a scheduled job. AI belongs where interpretation, drafting, classification, or judgment actually adds value.
No. I work with technical teams on AI engineering controls, DevOps, AWS, and infrastructure, and with small businesses on systems, automation, data, AI training, and practical AI integration.
A concrete weak point: unreliable agent changes, disconnected systems, duplicate entry, weak CI gates, or a process that depends on somebody remembering what to do.
As far outside the model as practical. Branch protections in source control, test requirements in CI, infrastructure rules in policy and code, business rules in workflows and permissions, failures in monitoring.
Yes. AWS infrastructure, Terraform, CI/CD, monitoring, security, data pipelines, automation, and platform engineering are still core parts of the work.
Yes. The work should live inside the repositories, systems, cloud accounts, and operating practices the team already uses instead of creating a separate AI process off to the side.
Both. A focused infrastructure, automation, AI-control, or business-systems problem may have a clear endpoint. Ongoing work makes sense when the systems and workflows continue to change.
When agents are producing meaningful code and the team is relying on review, prompts, documentation, or convention to keep changes safe. At that point the checking should be done by the system, not by the agent.
A home renovation company earning $1.3M annually in Charlotte, NC, struggled with disconnected tools, ineffective ad spending, and unclear performance insights. I optimized their tech stack, integrated their systems, and automated workflows to improve efficiency and reduce costs.
This logistics tech company struggled with fragmented AWS account management and excessive admin logins. I implemented AWS Control Tower and SSO, reducing security overhead by 50+ hours per month and cutting admin access by 80% in just four months.
Discover how a shared Virtual Private Cloud (VPC) on AWS improved security, collaboration, and scalability for a company with multiple accounts. This case study delves into the setup of security architectures, resource sharing via AWS RAM, and the impactful results achieved.
For teams with a defined backlog.
Pause or cancel anytime
Async collaboration
Avg 3-5 days delivery
1 task in-flight at a time
For teams with more moving.
Pause or cancel anytime
Collaboration via Slack and weekly check-ins
Avg 2-3 days delivery
2 tasks in-flight at a time
Roadmap development
If AI is outrunning your team, or too much still lives in someone's head, let's talk.
Talk to Brian
