About

Stephanie Frignoca

I build the quality gates that make raw data trustworthy enough for the systems, customers, and AI workflows that depend on it.

Positioning

I work upstream of the dashboard that keeps breaking.

Most CRM data work is reactive. A report breaks, a vendor gets blamed, a batch of records gets cleaned once, and then the next report breaks for the same reason.

Underneath it is usually the same issue: no shared definition of what a usable record actually looks like.

I work in the upstream layer: the frameworks, scoring models, field tiers, gated readiness logic, vendor benchmarks, and governance systems that decide whether the data behind routing, segmentation, reporting, and AI workflows can actually be trusted.

Quality is what you measure repeatedly, not what you clean up once.

The lane

Not data cleanup. Operational definitions of ready.

The work is specific. It looks like:

  • Defining what a complete, standardized, accurate record means for your business, at the field level, with tiers and weights that reflect what your GTM motion actually needs.
  • Building scoring models that measure each dimension on its own and refuse to average a fatal weakness away.
  • Benchmarking enrichment vendors against each other on real records, by field, so source-of-record decisions stop being assumption-based.
  • Automating the parts of the data foundation that are mechanical (hierarchy population, matching, deduplication, routing) so the humans can focus on the parts that are not.
  • Designing the governance and process so the definition holds after launch. Ownership, review cadence, monitoring. The part that makes it durable.

It is the work that has to exist before AI workflows on top of CRM data become anything more than expensive, very confident guesswork.

Background

Design school, then a decade in GTM systems.

Most recently, I was a Senior Data Quality Specialist at a developer-focused infrastructure software company, where I led CRM data quality and AI-ready account governance work. The frameworks featured on this site are generalized from patterns I have built across SaaS GTM environments, with company-specific details removed.

Before that, I spent four-plus years in GTM Applications and Sales Operations at a Cyber Asset Intelligence and IT Asset Management (ITAM) platform company, operating from the Salesforce seat across the GTM stack: account restructuring, lead routing, deduplication and matching, enrichment governance, cleaner address collection, CPQ and renewal support, and the process work that makes CRM data usable in the first place. Earlier still, I worked in sales roles at Embarcadero Technologies, which is part of why I care so much about how GTM systems actually behave for the people using them.

I am a Salesforce Certified Administrator with a BFA in Communication Design from Texas State University, which is the reason this site reads like a product and not a template.

How to work with me

Open to the right full-time role. Selective consulting through Page Frignoca LLC.

The strongest full-time fit is a Salesforce-centric company that treats account, contact, or lead data quality as infrastructure, not janitorial cleanup. Senior IC or lead roles in RevOps, GTM Systems, Data Quality, CRM Strategy, or Salesforce-centered AI operations are the right lane. The best match is AI-curious and ready to fund the operating model, not just another cleanup ticket.

I also take selective consulting and contract work through Page Frignoca LLC. A typical engagement looks like a defined data-quality assessment against a tiered, gated scoring model; a vendor benchmark; a governance design that names owners and cadence; and a monitoring layer that keeps the result honest after handoff. Usually scoped in weeks, not quarters.

If your CRM data is not ready for the AI workflows you are about to point at it, that is the work I do.