01
Workflow Audit
We map the repetitive work across leadership, operations, support, and engineering so the highest-value AI opportunities are visible.
AI Strategy & Productivity Systems
Make AI
Useful.
Now.
AI audits and builds for busy leaders who know AI should make the business faster, but need an expert to find the right workflows, ship the systems, and keep them current.
MAP
AI Value Audit
A focused starting point for leaders who need the first move
CEO
Executive Tooling
Agents for briefings, reports, follow-ups, and daily decision flow
RUN
Managed AI Ops
We build practical AI systems and keep them useful as the stack changes
The Problem
You can feel the leverage.
It is not organized yet.
AI is obviously useful. The hard part is knowing where it should enter the business first, which workflows are worth automating, and how to turn experiments into systems your team will actually use.
We help founders, CEOs, CTOs, and support leaders turn scattered AI ambition into a ranked plan, a working prototype, and a path to real operating leverage.
- Leadership wants AI leverage but has no clear first workflow
- Teams experiment in silos without a build plan
- Executives still chase reports, updates, and decisions by hand
- Support and operations work hides inside repetitive queues
- Engineering teams lose time to maintenance and context gathering
- Vendors sell tools without owning the operating outcome
The Entry Offer
Start with the
AI Value Audit.
A focused audit for companies that want AI productivity but do not want another vague strategy memo. We find the best workflows, rank the opportunities, and define the build plan.
02
Opportunity Ranking
Every candidate workflow gets ranked by likely value, complexity, risk, and time-to-impact so leadership can choose deliberately.
03
Executive Tooling Plan
We define the agents, reports, briefings, and decision flows that can give founders and executives more leverage day to day.
04
Prototype Scope
The audit produces a practical first build: what it does, what it connects to, what it avoids, and how success should be measured.
05
Build-Or-Buy Guidance
We separate what should be bought, configured, built custom, or ignored so you do not spend months wandering through vendor noise.
06
Implementation Roadmap
You leave with a clear sequence for the next sprint, the bigger build, and the managed agent operations needed to keep it alive.
Where We Start
Give busy leaders a system of agents.
The first win is usually hiding inside daily drag: status chasing, report prep, support queues, engineering maintenance, and decisions trapped behind scattered data.
Founders & CEOs
CTOs & Engineering Orgs
Heads of Support & Ops
Tech-Enabled SMBs
- 01Leadership
Executive AI Operating System
Briefings, follow-ups, meeting prep, priority tracking, and decision support for leaders with too many moving pieces. - 02Engineering
Engineering Productivity Agents
Maintenance triage, repo questions, release notes, QA support, and context gathering for technical teams. - 03Operations
Support & Ops Automation
Ticket routing, response drafts, escalation summaries, SOP copilots, and internal workflow automation. - 04Voice
Voice Agents & IVR
Call flows that qualify, route, summarize, and trigger the next business step instead of creating another queue. - 05Reports
AI Business Reporting
Narrative reports from CRM, finance, product, and operations data so leadership sees what changed and why. - 06Monitoring
Anomaly Detection & Monitoring
Surface unusual patterns, explain likely drivers, and route the issue before the team has to go hunting.
Who We Are
Operators first.
Consultants second.
Co-Founder
Thomas Rizzie
Engineering Leader / Aerospace & Defense Systems / ECE
Built and led engineering teams in environments where the cost of failure is measured in something other than lost revenue. Defense and aerospace-grade systems thinking, applied to the AI stack.
- Current Engineering Leader
- Aerospace and defense systems background
- B.S. Electrical & Computer Engineering
- Production AI systems, high-stakes environments
- Deep expertise in LLMs, agentic tooling, and system architecture
Co-Founder
Javier Garcia
AI/ML Engineer / Graduate ML Research / Agent Builder
Trained at the frontier of machine learning research and has shipped production agentic systems. Understands AI not as a product category but as a set of engineering primitives.
- Graduate-level AI/ML research
- Production agentic system deployments
- LLM evaluation, fine-tuning, and pipeline architecture
- Deep research background in modern ML
- Tooling, orchestration, and agent workflow design
How It Works
From audit to operating system.
01
AI Value Call
We qualify the business, the urgency, and the leader who owns the outcome. If the audit is not the right fit, we will say so.
02
Workflow Audit
We inspect the work: meetings, reports, tickets, tools, handoffs, engineering maintenance, and the decisions that slow people down.
03
Roadmap & Prototype Scope
You get the ranked opportunities, the first build scope, the risks, and the implementation plan leadership can act on.
04
Build & Maintain
When the audit reveals a high-value workflow, we can build the system, train the team, and maintain the agents as the business changes.
Let's Talk
Start with the audit.
Then build what matters.
If AI feels obvious but the first move is fuzzy, we will help you find the highest-leverage workflows, scope the build, and decide what is worth shipping.
AI Value Audit
Book the audit.
Tell us where AI feels obvious but the first move is fuzzy. We will help map the highest-leverage workflows and scope what is worth building.