Three ways in. One standard of work.
Build the system, sit at the leadership table, or train the team that has to run it. Pick one to start. Most enterprise clients end up running two.
The three lines
Build, Consult, Train.
Each stands on its own. Together they cover the full path from idea to a team that runs it without us.
Build
Custom AI software
AI agents and agentic workflows, voice AI, document intelligence, internal copilots, data pipelines and RAG, integrations with your CRM and ERP, and production hardening: evals, observability, and security red-teaming.
Explore BuildWhat’s included
- Agents and multi-step workflows
- Voice AI and document intelligence
- RAG, data pipelines, and integrations
- Evals, observability, and security review
Who it’s for
CTOs and heads of engineering with a defined workflow and a budget to ship it in production, not a slide deck.
Typical shape
Fixed-scope project, typically 6 to 12 weeks from architecture to production handover.
Consult
Fractional Chief of AI
Strategy, architecture, and governance from an operator who has run systems at scale. Board-level reporting, vendor and build-vs-buy calls, and a roadmap tied to the P&L, not a hype cycle.
Explore ConsultWhat’s included
- 90-day embedded engagement
- Architecture and vendor decisions
- Governance, compliance, and security
- Board-ready reporting cadence
Who it’s for
CEOs, COOs, and boards that need senior AI judgment at the table without a permanent executive line on payroll.
Typical shape
90-day embed, structured in three phases, renewable on results.
Train
Enablement and workshops
Executive briefings, leadership workshops, team enablement programs, and prompt and agent engineering bootcamps. Delivered live, by the founder, drawing on talks at GPTuesday, DeepStation, and Miami Dade College.
Explore TrainWhat’s included
- Executive and board briefings
- Role-specific team workshops
- Prompt and agent engineering bootcamps
- Keynotes and live sessions
Who it’s for
Leadership teams and operating groups who need to use the systems, not just approve them.
Typical shape
Half-day briefings up to 6-week enablement programs, scheduled around your calendar.
Engagement models
Four ways to work with us.
Every engagement fits one of these shapes. We will tell you which one fits before you sign anything.
Fractional Chief of AI
A 90-day embedded engagement inside your leadership team. Strategy, architecture, governance, and board reporting on a cadence, not a leash.
Project build
Fixed-scope delivery of a specific system: an agent, a copilot, a pipeline. You get working software in your environment and the team trained to run it.
Enablement program
A structured series of workshops and briefings that takes a team from AI-curious to AI-operational over weeks, not a single afternoon.
Retainer
Ongoing architecture review, model and vendor oversight, and on-call senior judgment for teams that have already shipped and need to keep it sharp.
Questions
Choosing where to start.
The most common questions before a first call.
If you already know what to build and need it built, start with Build. If you need to decide what to build and how it fits the business, start with Consult. If the blocker is your team's ability to use AI day to day, start with Train. Most enterprise engagements combine at least two.
Yes. A common pattern is Consult setting the roadmap in the first 90 days, Build shipping the first production system inside that window, and Train bringing the wider team up to speed once the system exists.
Yes. We are model-agnostic across Claude, OpenAI, Gemini, and open models, and cloud-agnostic across Google Cloud, AWS, and Cloudflare. Most engagements start with software you already pay for.
You do. Code lands in your repositories, systems run in your environment, and your data stays under your controls on every service line.
Next step
Not sure which service line fits?
Tell us the workflow and the outcome you need. We will tell you straight whether that is a build, a consult, a training program, or none of the above.