Seven live AI platforms

I build AI systemspeople trust with real work.

I'm an AI evangelist who has worked closely with staff and executives across numerous enterprises to develop a true vision and understanding of what AI could do for them. I have developed seven AI platforms that are in production: four founder-built products and three inside heavily regulated city government. They are grounded in 17 years of experience across infrastructure, security, architecture, project/product management,and adoption. Everything below is live and in active use.

See the work rony@ronyfozoonmehr.com
Public proofvisionzerodashboard.weho.org
Rony Fozoonmehr
Rony FozoonmehrAI Systems Architect
7AI platforms live
17 yrsenterprise IT
0
AI platforms live in production
0
Founder-built products, end to end
1
City AI program, end to end
0
Years from server racks to AI
Seven AI platforms · all live

Four founder-built products.
Three city platforms. One builder.

This page splits the work in two: the four products I built under my own name, then the three AI platforms I built inside West Hollywood. Product, architecture, security, launch, and adoption, the whole thing instead of just the impressive middle. All seven are in production.

A luminous abstract constellation representing seven AI platforms connected around civic operations
Seven platforms, one operating philosophy. Build the system deep enough for infrastructure, clear enough for operators, and humane enough that people actually adopt it.
First of its kind Live in city government Commercializing
MOSAIC

MOSAIC

Ask a city anything. Get proof, not guesses.

MOSAIC is the geospatial system I kept wishing cities had: a place where staff can ask deeply complex analytical question in plain English and get back beautifully mapped results, data exports, and a clear audit trail. The AI reads intent and writes structured JSON. A deterministic engine does the actual work, choosing layers, drawing buffers, and computing intersections. The AI never touches the underlying data. It translates the question; the engine proves the answer. This allows for complete transparency, full privacy compliance, and a first in the world legally defensible system.

Dreamt up and built by me. The platform has been deployed inside the City of West Hollywood under a non-exclusive agreement, allowing the City to benefit from this transformative technology, and for me to commercialize it, using the City as a testbed and client.

Fully deterministic executionAI = intent parser onlyAI never touches dataComplete provenance per queryStructured JSON bridge
MOSAIC · Live pipeline replayIntent → JSON → Engine → Proof
AI Layer · Intent Parser
staff>
→
Deterministic Engine
Provenance trail
mosaic · GIS × permitting
MOSAIC resolving a natural-language permit query on the live city map
haiven · live monitoring
Haiven live monitoring dashboard with detections and community alerts
In production

Haiven

Community safety, with privacy as the architecture.

An autonomous community-safety platform where privacy is foundational. Facial recognition and license-plate recognition run on-device at the edge, so footage never leaves the home without the user's explicit consent. Residents use an intuitive interface to define their own alert and recording rules, and community reports are PII-fuzzed before anyone else sees them.

On-device facial recognitionEdge license-plate recognitionResident-defined rule engineAutomatic PII fuzzing
playanexus · camp operations
In production

PlayaNexus

Operations software for a pop-up city in the desert.

Burning Man theme camps are small cities with volunteer governments. PlayaNexus gives them a back office where non-technical leads run everything: shifts, tasks, check-ins, and the camp map. The boring parts are a game, with karma points, reliability scores, and a leaderboard that turns chores into something people volunteer for.

Full camp administrationGamified shifts & check-insKarma & reliability rankingLive spatial camp map
enclave · community management
Enclave sign-in screen
In production

Enclave

HOA management, with an AI back office.

A multi-tenant platform that runs HOA operations end to end. A retrieval assistant grounded in each association's own CC&Rs answers homeowner questions with citations, and the operational loop below runs on its own.

A request comes inA homeowner reports an issue, in plain language.
The agent triages and routesClassified, prioritized, and matched to a trusted vendor automatically.
The work order runs to completionScheduling, updates, and homeowner communication, in-platform.
The invoice is audited before paymentEvery line item checked against the work order before a dollar moves.

By day, the same hands
run a city's AI program.

City of West Hollywood

A city's AI program,
end to end.

Strategy, a usage policy written with executive leadership, an evaluation gate every tool clears before launch, staff training, and the systems below. All built hands-on, inside one of the more regulated environments in American local government. It's also where MOSAIC proves itself in daily use.

visionzerodashboard.weho.org
Live & public

Vision Zero Analytics

Twelve years of collisions, made legible.

A public dashboard over the city's full collision record. A traffic engineer, a council member, or a resident can slice 2,700+ crashes by severity, mode, corridor, and time of day, watch the trends move, and see the high-injury network the way planners do. No GIS seat, no training, no login.

0collisions mapped
12 yrsof crash data
100%public access

"You've set the standard for Vision Zero dashboards globally."

Feedback from the Vision Zero community
Open the live dashboard ↗
Autonomous agent · in production

The helpdesk
that runs itself.

Triages every ticket, reads team calendars before routing, balances workload by complexity, chases deadlines, and watches sentiment. When a requester's tone shifted from calm to frustrated, it escalated on its own. No human flagged it.

Ticket #4827 · Access issue
Agent cognitive trace
Sentiment monitor
Tone: neutralConfidence: 92%
In production

IT Helpdesk Agent

The desk runs itself.

Every incoming ticket enters an autonomous loop. The agent reads the request, checks team calendars for availability, scores the ticket's complexity, and routes it to the right person. It tracks deadlines and follows up. It also watches the conversation's tone. When frustration creeps in, it escalates before anyone asks it to.

Autonomous triage & routingCalendar-aware assignmentComplexity scoringDeadline trackingReal-time sentiment monitoringAuto-escalation on tone shift
Production capture
Autonomous agent · in production

Every contract,
against the code.

Reads every agreement against the City's contracting standards. It returns an executive summary with a risk rating, findings ranked by severity, and redlines with exact replacement language. Each finding is tied to a specific statute.

Vendor Services Agreement
AI analysis · live
Overall riskPending
In production

Contract Review Agent

A second set of eyes for counsel.

Every agreement the City signs passes through this agent first. It reads the full contract against the City's standards, produces an executive summary with an overall risk rating, ranks findings by severity, and writes redlines with exact replacement language. Each redline is cited to the municipal code or the California Civil Code. Counsel gets a marked-up document and a map of what matters, not a blank page.

Full-contract analysisRisk-rated findingsSeverity rankingRedline replacement languageMunicipal code citationsCalifornia Civil Code grounding
Production capture
Autonomous agent · in production

Complete files,
before a human opens them.

Screens every submission first: requirements checked, attachments validated, GIS overlays cross-referenced, statutory deadlines flagged. Reviewers get judgment calls, not triage.

Permit Pre-Review · Live replayCommercial TI · 8230 Santa Monica Blvd
Requirements validation
GIS overlay cross-reference
In production

Permit Pre-Review Agent

Complete files, before a human opens them.

Every permit submission hits this agent before it reaches a planner. It checks every requirement against the submission, validates each attachment against its stated purpose, cross-references GIS overlays for historic status, fault zones, and transit proximity, and flags statutory deadlines. By the time a human opens the file, everything's already checked, or the issues are flagged and waiting.

Automated requirements checkAttachment validationGIS overlay cross-referenceHistoric & fault zone checksTransit proximity analysisStatutory deadline flagging
Production capture

Shipped with guardrails, not caveats.

Tools without policy create risk; policy without tools guides blindly. At WeHo, they landed together, and adoption followed because people trusted what went live.

AI Usage PolicyWritten with the City Attorney. Plain answers on what's allowed, what isn't, and when AI use must be disclosed.
Evaluation gateEvery tool passes a structured testing and evaluation process before it's allowed near production.
Responsible-use trainingCustom-authored for the City and required for all staff, whether they touch the tools or not.
AI Resource CenterOne front door on the intranet: the policy, approved tools, FAQs, and department-specific guidance.
intranet · AI resource center
The City's AI Resource Center intranet portal
Rony Fozoonmehr
Rony FozoonmehrLos Angeles, CA

Seventeen years across systems administration, project management, cybersecurity, and enterprise architecture. The last twelve have been inside government, where the work has to survive audits, meetings, budgets, politics, and the person who just needs the thing to work. Add a master's in organizational psychology and four years as a union lead negotiator: I build from the metal up, and for the people layer on top.

Method

Why my systems survive
contact with real people.

01

Production is the only metric.

A system that isn't live is still a slide. I measure my work by what an operator can do today that they couldn't do yesterday, and by the hours that move as a result.

02

Depth is the advantage.

I ran the servers, the networks, and the SIEM long before I touched a model. Seventeen years of systems, security, and project delivery sit under this work, which means I do not treat AI as mist or magic. It's engineering, responsibility, and follow-through.

03

Governance is a feature.

I wrote a citywide AI policy with a City Attorney and built the evaluation gate every tool passes before launch. Guardrails shipped with the tools, which is exactly why people trusted them enough to adopt them.

04

Adoption is the finish line.

I sit with the people who own the work before I design anything, and I don't call a project done at deploy. Done is when the old spreadsheet is deleted and nobody wants it back.

"The hard part of enterprise AI isn't the model. It's the last mile into someone's Tuesday."

The record

Seventeen years of work
that made it into the world.

2009

The foundation years

Systems administration, networking, project management, and cybersecurity. The unglamorous years that make everything above trustworthy: I know what's under every abstraction I build on.

2014

Recruited to modernize a city

Brought in to rebuild West Hollywood's aging infrastructure. The role grew into organization-wide solution architecture: ERP, GIS, permitting, communications, and security.

Enterprise programs

$5.4M ERP · $1.5M permitting consolidation

Technical Lead from RFP through implementation. Three fragmented permitting systems became one, with full adoption, zero shadow systems, and departments thanking IT for the change.

2020

Zero to remote in three weeks

From no remote capability to a fully secured, organization-wide setup in under three weeks, with 100% service continuity. I also led one of California's first municipal Teams Voice deployments, cut over with zero downtime.

2020 to 2024

President, MISAC Southern Chapter

Elected by peer municipal CIOs and CTOs across Southern California to lead regional technology strategy and advise member cities on architecture decisions.

2024 to Present

A city's AI program, end to end

Nobody handed me a mandate. I wrote the strategy, co-authored the policy, built the evaluation process, shipped the city systems above, and trained the staff who use them.

After hours · ongoing

Seven AI platforms, built end to end

Four founder-built products, MOSAIC, Haiven, Enclave, and PlayaNexus, plus three city AI platforms for helpdesk, contract review, and permit pre-review. Multi-tenant SaaS, edge computer vision, retrieval, agentic operations, GIS, governance, and the adoption work that makes the software real. All in production.

Contact

Have a problem that deserves to become a real system?

Based in Los Angeles. I work with people who want AI in the hands of operators, residents, staff, and customers, not trapped in a deck.

LinkedIn ↗
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