Governed AI & business systems · West Palm Beach, FL
Zentech Systems, founded by technology executive Steven E. Sarafian, helps PE-backed and middle-market companies turn AI, automation and business systems into measurable ROI, with governance built in and delivered through your own teams and partners.
The gap
Most companies can switch on AI tools in an afternoon. Far fewer can show the result in the P&L. Without clean data, clear owners and controls, automation makes a business busier, not more productive.
Zentech works as an operator, not a vendor. We fix the systems and data underneath, govern how AI gets used, then automate the few workflows that actually move margin, and measure them against a baseline.
Principles
Each one comes from building and running technology inside consumer brands and PE-backed companies, not from a slide deck.
Every initiative starts with a baseline, a target metric and a named owner. If it can't be measured, we don't build it.
Data classification, access and human review are built in from day one, not added after an incident.
AI amplifies what's underneath it. ERP, commerce and data platform fixes come first.
From diligence and the 100-day plan through integration, operations and exit readiness.
We lead and stay accountable. Your people and partners do the work and keep the capability.
Services
Fixed-scope entry points make it easy to say yes. Ongoing leadership is there when you need it.
A fast, fixed-scope look at where AI and automation can pay off in your business, and what has to be true first.
Systems, data and AI risk and upside for a target, written for investment committees.
Unify ERP, commerce, CRM and finance data in Fabric, govern it with role-based access, and get your team using it.
One high-value use case taken to production, with controls and measured results.
Executive technology leadership for portfolio companies and growing brands.
A clean, documented technology and data story buyers can underwrite.
Microsoft Fabric
Microsoft Fabric puts your data, analytics and AI in one place. The hard part is moving off scattered systems and spreadsheets and changing how people find, trust and act on data. We plan that move around your business and your team's skills, not around the software.
Bring ERP, commerce, CRM, marketplace and finance data into OneLake, with one model of customers, products and orders.
Role-based privileges, sensitivity labels and certified datasets, so everyone sees the right numbers without extra friction.
Copilot, data agents and automation built on governed data, scoped to the questions that move margin and cash.
Hands-on enablement for executives, analysts and power users, plus internal champions who keep it running after we leave.
Diligence-grade from day one. The same platform that runs daily operations becomes the clean data story for your board, lenders and future buyers.
Plan your Fabric roadmapModel strategy
Model choice sets your cost per task, accuracy, speed and risk. Using the most powerful model for every job burns budget. Using a model that's too small creates rework that erases the savings. We match each workflow to the model that delivers the result at the lowest total cost.
Diligence analysis, contract review, strategy drafts and multi-step agents where a wrong answer is expensive.
Summaries, email and support drafts, report narratives and Copilot-style questions on governed company data.
Document classification, data extraction, tagging, routing and validation running thousands of times a day.
Why it matters: the same workflow can cost many times more, or deliver noticeably worse results, depending on the model behind it. Model selection is reviewed at every Prove step, so ROI keeps improving after launch.
Method
The same disciplined path on every engagement, so results are comparable, repeatable and easy to report to a board or sponsor.
Measure current cost, cycle time, error rate or revenue. Name the business owner.
Score use cases on value, feasibility, data readiness and risk. Pick one to three.
Classify data, set access, define human review and document acceptable use.
Deliver through your teams and partners in short sprints with a measurement plan.
Report against the baseline, including adoption, quality and stability, not just speed.
Expand what works, retire what doesn't, and record every decision.
Track record
Outcomes from roles Steven held, achieved with the teams and implementation partners he led.
Years leading technology, e-commerce and operations in consumer and B2B businesses
Annual e-commerce revenue growth at SlimFast, 2016 to 2021
Sale of SlimFast to Glanbia in 2018, as part of the management team
Sales growth at Hyper Network Solutions as COO, 2010 to 2014
About
Steven E. Sarafian has spent more than 25 years leading technology, e-commerce and operations in consumer and B2B businesses, including CIO and integrated-marketing leadership at SlimFast and Glanbia and Chief Technology Officer at CellCore Biosciences.
His work spans ERP and commerce platforms, data platforms built for diligence, carve-outs and M&A integration, and AI programs with governance in place. He leads through teams and implementation partners, and stays accountable for the outcome.
He founded Zentech Systems LLC in 2018 as an independent consultancy for emerging technology and automation, software, websites and business architecture. Zentech gives companies that experience without a full-time executive hire.
Read Steven E. Sarafian's full profile and career history →Fix the systems. Govern the data. Automate what moves the P&L. Prove it.
Governance standard
Every engagement follows the same baseline controls, scaled to the risk of the use case.
Inventory and classify content before any AI tool can read it. Remove duplicates and stale files.
Role-based privileges improve security and scale with your team, without adding friction for end users. AI answers only from content each role is meant to see.
Defined review points for customer-facing, financial, legal and regulated outputs.
No auto-approved changes to production systems. Actions are logged and reviewed.
Start with platforms you already license, such as Microsoft 365 Copilot and Purview, before adding vendors.
AI compliance counsel is brought in for regulated or high-risk use cases.
FAQ
Zentech Systems LLC is an independent technology consultancy based in West Palm Beach, Florida. It helps PE-backed and middle-market companies turn AI, automation, business systems and data into measurable ROI, with governance built in, delivered through the client's own teams and implementation partners.
Zentech Systems was founded in 2018 by Steven E. Sarafian, a technology executive with more than 25 years in technology, e-commerce and operations, including CIO roles at SlimFast and Glanbia and Chief Technology Officer at CellCore Biosciences. He is the firm's founder and principal.
It is Zentech's fixed-fee starting engagement, typically 2 to 3 weeks. It ranks AI and automation use cases by value, effort and risk, scores data and governance readiness, and produces a 90-day roadmap with named owners and metrics.
Yes. Zentech scopes and leads Microsoft Fabric data platform programs that bring ERP, commerce, CRM and finance data into OneLake with governed semantic models, role-based access, Copilot and data agents, and team enablement, phased over 8 to 16 weeks.
Model selection is treated as an ROI decision. Zentech tests models on the client's own data, measures cost per correct outcome including human review and rework, routes simpler work to smaller models and keeps the architecture portable across vendors.
Private equity deal teams, portfolio companies and growing middle-market brands, especially in consumer products, B2B and DTC commerce, that need business systems, data platforms or governed AI without a full-time executive hire.
Start the conversation
Book a 30-minute AI-to-ROI call. We'll talk through where your team loses time, what you've already tried, and whether a diagnostic is the right first step.
Where does your team lose the most hours?Manual work is usually the fastest place to show ROI.
What have your AI pilots measured?If the answer is "usage," there's room to prove more.
Who owns your data?Knowing what's sensitive is the first governance step.