Services
Good ideas deserve
a practical next step.
From figuring out what’s worth trying to building something your team can use, we help you move forward with a clear scope and experienced technical judgment.
01 / Understand the opportunity
AI strategy &
workflow review.
You’ve heard what AI can do. The useful question is what it should do in your business. We’ll look at the work, the people, and the information involved before choosing any technology.
A focused review can include
- A walkthrough of a recurring workflow and its bottlenecks.
- An assessment of where AI, conventional automation, or a simpler process could help.
- A shortlist of opportunities, including practical limitations and dependencies.
- A recommended first experiment with a way to evaluate the result.
You want an informed plan before adding subscriptions, hiring developers, or committing your team to a new process.
02 / Make it work
Automation &
custom development.
When the opportunity is clear, we can build the connection, workflow, or application that makes it real. The goal is useful software that fits your business and can be understood after the handoff.
Projects we can explore
- Connecting existing tools so information doesn’t have to be copied by hand.
- AI-assisted drafting, extraction, or classification with human review.
- Internal tools that make recurring tasks easier to complete.
- Search and question-answering over approved business documents.
- Prototypes to test a product idea before investing in a larger build.
Scope includes the intended users, data access, review steps, testing approach, and handoff. These are examples of possible engagements, not claims of completed client projects.
03 / Make it part of the day
Practical training
& guidance.
People get more value from AI when they understand how to use it and when to question it. Sessions focus on tasks your team recognizes, with room to try things and talk through the results.
Topics can include
- Giving AI useful context and clear instructions.
- Creating repeatable workflows instead of starting from scratch each time.
- Checking outputs for accuracy, omissions, and unsupported claims.
- Setting sensible boundaries around confidential information.
- Helping technical teams explore AI-assisted development.
We’ll agree on the audience, goals, and example material beforehand so the session is relevant to the work you do.
Working together
Start small. Learn something.
Build on what works.
Understand the work.
We talk about your goal, current process, constraints, and the people involved. Then we decide whether there’s a useful fit.
Agree on the first step.
You receive a proposed scope, fee, timeline, responsibilities, and acceptance criteria before paid work begins.
Test it against reality.
We review the result against agreed examples, address the important gaps, and make sure you know how to use what was built.
A few things you might be wondering
Good questions.
I know AI could help, but I don’t know where to start. Is that enough?
Yes. Bring one recurring task, a frustrating process, or a goal you’re struggling to reach. We can start there without a technical brief or a preferred tool.
Do I need custom software?
Not necessarily. A better process, a reusable prompt, or an existing tool may be enough. Custom development makes sense when the benefit justifies the added cost and ongoing maintenance.
How much does a project cost?
Pricing depends on the scope, the systems involved, and the support required. After the initial conversation, we’ll propose a defined engagement and fee. There is no paid work without an agreed scope. Software subscriptions and third-party usage costs are discussed separately.
How much time will you have for my project?
We focus on carefully scoped consulting engagements. We agree on milestones, meeting availability, and response expectations before starting. This practice is best suited to planned projects rather than round-the-clock operational support.
What happens to our business data?
We agree on what information is needed, which tools may access it, and who can use the result. Where possible, initial exploration uses anonymized or sample material. Sensitive data should never be put into a tool without reviewing its access controls and data handling.
Where do you work?
We work with businesses in Nashville, Los Angeles, and remotely. Paul spends time in both cities; any in-person meetings are arranged around availability. Tell us where your team is based and how you prefer to work.
Can you guarantee AI will save us money?
No honest evaluation starts with a guaranteed result. We define a baseline and test a small, relevant use case. If the result is unreliable or the economics don’t work, that is useful information too.
What happens after delivery?
Each scope includes an agreed handoff. Depending on the project, that can cover documentation, training, source code, and access to the systems you’ll operate. Ongoing support or further improvements can be scoped separately.
A useful next step
What’s taking more time
than it should?
Tell us about it. We’ll work out whether AI can help—and what a sensible first step looks like.