AI strategy + implementation
Find the use case worth doing. Design the operating model. Build the product, agents, and integrations that make it useful.
↗StrategyEngineeringExecution
AIthatWORKSFOR REAL.
Not demos. Not decks. AI, systems, and software built into the business. Accountable to what changes.
Trusted by
$1B+processed by shipped systems
00The standard
Real is a higher bar.
A prototype proves something can exist. Real work survives contact with customers, employees, legacy systems, security reviews, budgets, and Monday morning.
We combine software architecture, production machine learning, AI implementation, and operating judgment so what gets launched keeps working.
01Used
Fits the people and workflow it was built for.
02Reliable
Observed, secured, documented, and owned.
03Measurable
Connected to an outcome the business cares about.
04Adaptable
Built to change when the real world does.
01What we make work
From the model layer
to the cloud invoice.
Two senior technical founders stay close to the question, the architecture, and the release. Bring a defined build or a problem that still needs shaping.
Software + product engineering
Customer products, internal tools, websites, APIs, and full-stack platforms engineered for real operations and long-term ownership.
↗Data + machine learning
Forecasting, recommendation, optimization, analytics, and decision systems measured against the business result—not model theater.
↗Cloud + DevOps
Architecture, infrastructure, delivery pipelines, observability, and modernization that let teams ship without creating the next emergency.
↗Automation + integration
Workflows, voice agents, CRMs, back-office systems, and stubborn tools connected into one accountable operating system.
↗Cybersecurity + secure AI
Access boundaries, isolated agents, short-lived credentials, review gates, and pragmatic security designed into the way people work.
↗Growth systems
Content, media, campaigns, landing pages, attribution, and automation built as a connected acquisition product.
↗Strategy + execution
Technical diligence, launch plans, fractional leadership, and senior decision support that stays close to the work.
↗02Selected proof
Built into the business.
Measured by what changes.
Representative work across machine learning, software products, operational systems, and secure AI.
01
Applied ML / Optimization
$300M
Bidding intelligence built into the transaction.
A production recommendation and bidding-optimization engine for a national auction marketplace—designed around real-time financial decisions and more than $300M in annual business.
RecommendationOptimizationProduction ML
02
Forecasting / Decision systems
3 years
Forecasts that beat the market.
A Bayesian supply-and-demand forecasting system for a leading avocado supplier, delivering commercially useful predictions through volatile markets for three consecutive years.
Bayesian MLForecastingCPG
03
Software / Growth systems
1 system
Content, audiences, and paid media—finally connected.
A production platform combining content planning, multi-channel publishing, saved audiences, reach estimates, post promotion, and campaign controls in one operating product.
Full stackWorkflowGrowth
04
Secure AI / Engineering
0 trust
Coding agents without permanent access.
Codex and Claude connected to engineering workflows through isolated workspaces, controlled repositories, short-lived credentials, and human review gates.
Secure AICloudDeveloper tools
03The cofounders
Software depth.
Machine-learning depth.
One accountable team.
Works for Real brings together two complementary builders. Stephan goes deepest on software and systems. Saul goes deepest on ML and data. Both can carry a hard technical problem from strategy through production.
Cofounder / Software + systems
Stephan Fitzpatrick
Software architect and AI strategist with more than a decade across software, data engineering, cloud, DevOps, cybersecurity, and AI-native products. Stephan turns complex technical terrain into systems teams can actually operate.
LinkedIn ↗
Cofounder / ML + outcomes
D. Saul Jameson
Machine learning engineer and technical operator with nine-plus years shipping forecasting, optimization, analytics, automation, and AI systems. Saul's deployed models have supported more than $1B in commercial activity.
LinkedIn ↗04Start with the problem
What needs
to work?
You do not need a polished brief. Tell us what is stuck, expensive, manual, risky, or newly possible. We will tell you the most useful next step.
Book 15 minutes ↗[email protected]