Operational AI architecture, design, implementation, and training.
Run on systems. Not heroics.
Turn business knowledge, customer conversations, and operational data into systems your team can use, maintain, and improve.
Book a 45-minute conversationA 45-minute conversation about what you want to accomplish.
Three companies
founded and sold.
20+ years
architecting business systems.
A founder’s perspective.
Hands-on implementation.
Built around an established operation
For founder-led US companies. Your CRM, accounting, and operational tools are already in place. The next step is making the work between them more connected. See how this looks for product companies
You’ve seen what AI can do.
How does it fit here?
Ideas and tools are easy to collect. A working operation needs shared information, clear responsibilities, and a way to improve the system as the company changes. That is the foundation beneath a useful AI application.
Choose the work.
Set the foundation.
Priorities, information, connections, and a clear way to judge the result.
↘02 / ImplementationConnect the system.
Put it into practice.
Working software built around the people and tools already in place.
↘03 / TrainingBuild understanding.
Develop capability.
Real tasks, operating guides, and a team that can contribute to the system.
↘01 / Architecture and design
Good judgment.
A working blueprint.
We map how the work moves across teams, where the information lives, and which decisions need a person. Then we choose a useful first result and design the connections around it.
The opportunity map captures what to build, what to test, and what the existing tools can already handle. Data access, responsibilities, and acceptance criteria belong in the design.
Architecture and design deliverable: an opportunity map with a recommended sequence and the reasoning behind it.
A field-service company
A 42-person field-service company: 3 regions, 120 commercial sites. Priority: coordinate customer requests across account management and field operations.
Keep open inquiries moving.
Combine the shared inbox and customer records into an assigned follow-up queue. Review unanswered requests and prepared replies in one place.
Evaluate: requests with a responsible team member and an agreed next step.Prepare a quote from the request.
Test extraction against a small set of past inquiries. Confirm which details and pricing rules the team needs before preparing a draft.
Evaluate: completeness and corrections during review.Send appointment reminders.
The scheduling tool already supports them. Configure and test that feature before building something new.
Next step: confirm timing and message templates.02 / Implementation
From a blueprint
to working systems.
Customer requests, business knowledge, documents, and decisions become connected work. The implementation layer brings the design into the team’s daily operation.
Team knowledge
A better place
to find answers.
When procedures live across documents, messages, and people’s experience, finding an answer becomes a task of its own. Bring that knowledge together so the team can ask a question, check the source, and see the next step.
Property management / Portfolio knowledge
85 properties · 3 districts · 24-person operations team
Choose a team question
Try the last question to see how missing information is handled.
Answer / supported by a source
Check-in starts at 4:00 p.m.
The standard arrival time is 4:00 p.m. Confirm that housekeeping has marked the property ready before telling a guest they can enter.
View source · Arrival guide, §2
“Standard check-in: 4:00 p.m. Team members must confirm the housekeeping ready status before confirming guest entry.”
03 / Training
The team becomes
part of the system.
Training happens on the work the team recognizes. We practice the process, make the review steps understandable, and build an operating guide people can use next time.
Your team takes ownership of day-to-day use and contributes improvements on its own working information, with the configuration and support responsibilities documented.
That can mean working alongside an internal builder, guiding a leadership team through the new process, or helping a founder develop the confidence to extend it.
Training deliverable / A working session and operating guide
Practice a real task.
Use the system on a situation the team recognizes.
Learn what to check.
Inspect the result, its supporting information, and the decisions that need a person.
Leave with a reference.
A short operating guide, worked example, or agreed procedure to use next time.
Business Execution OS
Strategy is not a document.
It is the system you run.
Bexos builds your Business Execution OS: custom systems built around how your business already runs, not a software product. The advice is the build.
How I work →I’m David Legisima,
founder of Bexos.
I’ve founded and sold three e-commerce businesses and spent more than two decades architecting custom business systems. My experience includes running a company on EOS and more than ten years as a member of Entrepreneurs’ Organization (EO). My most recent company, Ship My Orders, was a three-time Inc. 5000 honoree.
I built systems so I could sell the business. I know the pain of a company that runs on heroics instead of systems, and it is the problem I bring to founders and their leadership teams.
Bexos brings that experience into my work with AI: understanding how a business operates, deciding what is worth improving, and building practical systems with the people who will use them.
David Legisima · Issued August 28, 2026
Valid through August 28, 2027 · Verify on Credly
An engagement shaped around the work
A clear scope
before you commit.
We begin with a 45-minute conversation about your priorities. If there’s a fit, I propose a defined first step with a clear deliverable and fee.
Where feasibility needs testing first, we can agree on a small assessment before any build. The assessment produces a written recommendation—not the finished system. Implementation, training, and any ongoing support stay in a separate proposal.
The implemented system has its own operating guide and maintenance responsibilities. Ongoing counsel focuses on priorities, changes, and the next useful system.
What a small
assessment includes.
When the right first step is unclear, or feasibility needs a closer look before a build.
Usually about one to two weeks of focused work after we agree scope.
A written map and recommendation: where AI could help, what information and tools matter, where human review belongs, and a practical next step—if any.
The full build, production integration, or team training—those are scoped separately if we proceed.
Fee for the assessment is set in the proposal for that work.
You keep the written recommendation, and we stop there.
I propose implementation (and training) with a clear deliverable and fee.
Systems your team
can keep running.
I design systems so your team can run them: the workflows, the documentation, the review points, and a practical path to the underlying information. After a scoped project, the agreed deliverables stay with you. Ongoing help is available if you want it—and scoped in a proposal when we do. It is not required to keep using what we built.
A few practical questions
Before we talk.
Where do we start?
With a 45-minute conversation about your priorities, existing systems, and what you have already tried. A defined first engagement or scoped assessment follows through a proposal.
Can you work with our existing tools?
That’s the starting point. I review the tools, information, and access available, then identify what can be connected or improved. Any new software, limitations, or additional costs are discussed as part of the scope.
Could we do this ourselves?
Yes. If someone on your team has the time and interest, learning and building internally may be a good route. I can help with a specific challenge, work alongside that person, or take on a defined build. We can discuss which approach suits your situation.
What happens after the first project?
We review the result together and decide what comes next. The proposal specifies deliverables, training, and any ongoing support—including who maintains what, and how access works.
The agreed deliverables stay with you. Systems are built so your team can operate them day to day. If you want ongoing help later, we scope that separately. You do not need a continuing engagement to keep using what we built.
Data, deliverable, and runtime rights remain as defined in the agreement.
What if our tools or needs change?
That belongs in the design conversation. I consider where the information lives, how it can be exported, and how integrations and instructions can be updated. Any migration work and ongoing support are scoped around your setup.
When I’m probably not
the right help.
A short conversation is enough to find out. These are patterns that usually aren’t a fit:
- Chatbot-only installs — a widget on the site with no connection to how work actually moves.
- One-off workshops — training with nothing left running in the business afterward.
- AI without review — systems that can’t show their sources, or have no place for a person to check important answers.
- Tool shopping — choosing software first, before the work and the information are clear.
I’m a better fit when you want a system your team can own and operate — inquiry triage, customer onboarding, recurring reporting, document review — built on the CRM, accounting and ops tooling you already run, with human checks where they belong.
If that sounds like you, book a 45-minute conversation. If it doesn’t, I’m glad you checked here first.
A 45-minute conversation
What should work
better next?
Bring a priority, an unfinished experiment, or a question about how AI fits your operation. I’ll help you connect it to a useful first step, from the foundation through to the team using it.
No preparation is required. If it helps, bring an example of something you want to improve, anything you have already tried, and who would use the result.