I install human-supervised AI systems inside admin-heavy professional-service firms, then stay on as the operating layer that keeps them running. A few clients at a time, done properly.
The gap
Your team has opened ChatGPT or Claude, gotten a few interesting results, and quietly drifted back to the old way. That is not a failure of the tools. It is a failure of fit.
Out of the box, AI knows nothing about your firm, your clients, or how you work. Capable people ask it for help, get generic answers, and reasonably conclude it is not worth the effort.
The gap is not another app. It is fit: the right context written down, the right systems connected, and workflows shaped around how your team already works.
Once it fits, AI stops being a novelty you occasionally open and becomes a quiet layer your team runs on, with a person in control of anything that matters.
How we work together
It starts with a paid diagnostic and a clear roadmap, so you see what's worth fixing, and what it's worth, before any build begins.
I map where your team's time goes, estimate the hours lost in each workflow, and hand you a prioritized roadmap with the expected return on every move.
I build it: platform migrations, AI workflows, document automation, SOP and prompt libraries. Configured, documented, and trained into your team, one phase at a time.
I stay on as your embedded AI operating layer, maintaining and improving the systems and measuring the return. An operating partner, not a freelancer.
What I offer
Start with the audit. From there, the right mix depends on what the diagnosis finds.
The paid diagnostic and front door. I map your workflows, estimate the hours lost, and deliver a prioritized roadmap with the projected return on each move.
A working session with your team. We surface the ideas living at the edges of the firm and filter them down to the ones AI can actually deliver.
I build a defined AI solution for a specific use case. Configured, documented, and trained into your team, so it sticks after I leave.
Hands-on training for your team, from Claude 101 foundations to the role-specific workflows your people actually run day to day.
Ongoing. Your embedded AI operating layer: maintaining, improving, training, and measuring the return as the tools keep changing.
A fully done-for-you, high-trust operating relationship for complex firms and portfolio companies. By application only.
Why the ongoing part matters. AI tools change every few weeks. A system installed and left alone drifts and quietly stops being used. The retainer is what keeps it current, measured, and worth more each quarter, not less.
Boundaries
Being clear about this protects the quality of the work and your trust in it.
No one-off, à la carte AI tasks. The work is an operating relationship, scoped in phases, not a queue of small requests.
No tax, accounting, legal, or financial advice. I modernize how the work gets done. Your licensed professionals own every regulated decision and review.
No AI running unsupervised where it matters. A person reviews and approves output that carries risk. The goal is leverage with control, not automation for its own sake.
No overbooking. I take on a small number of firms at a time so each gets real attention. If I am full, I will say so.
Who this is for
Established professional-service and owner-led firms, typically $1M+ in revenue, with a team and a real operational load. The kind of business where giving people their time back is worth investing in.
About
I build and run AI systems inside real businesses. Not slide decks about AI, and not random automations. The actual operating layer: the workflows, the tools, the SOPs, and the human-in-the-loop guardrails that keep it safe.
I work at the frontier of these tools, Claude, Claude Code, Cowork, and the skills and agents being built on top of them, and I document every working pattern into a reusable cookbook. So what I install is proven, not improvised. It is backed by 11 years shipping software products as a senior designer, so I know how to build a system people will actually use, not one that just demos well.
I take on a small number of firms at a time. That's deliberate. Fewer clients means deeper attention, cleaner implementation, and outcomes I can stand behind.
Insights
Working patterns and frameworks from building AI operating systems inside real firms. A sample of how I think about this.
One paragraph that makes the model grade your prompt against eight parts before it answers, and flag what's missing.
Most firms have tried AI and drifted back to the old way. The tools didn't fail. The fit did. Here is what changes that.
Everyone says "use AI." Few can say what the operating layer looks like once it is installed and maintained.
Start with an AI Capacity Audit. Tell me where your team is drowning, and I'll show you what's worth fixing first.
Request an AI Capacity Auditor email cody@codybuildsai.com