Profile Fractional CMO since 2023 • Trust in data • Greenwich to New York • 25,000-person adoption lesson • AI that shows its work

People / Marketing / Enterprise AI

Elizabeth Abrams Sells the Least Fashionable Thing in AI: Proof

The Greenwich-based fractional CMO has built a career around a stubborn corporate problem: getting people to trust, understand, and actually use new systems. At Sequentum, that assignment has become a message for the AI era - evidence before enchantment.

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There are easier things to market than an audit trail. It has no cinematic glow, no charming robot voice, no invitation to imagine a week in which all tedious work has vanished. An audit trail is what people ask for after the applause, when somebody from risk clears a throat and wonders exactly what the machine did. Elizabeth Abrams has made that awkward second conversation the center of the first one.

Abrams is the fractional chief marketing officer at Sequentum, a web-data company headquartered in New York. She lives in Greenwich and works in the narrow corridor between intricate software and ordinary human suspicion. Since joining the company in September 2023, she has helped build its marketing and communications around three compact words: “trust in data.” The phrase arrived with new branding in January 2024. It did not attempt to make data extraction sound glamorous. It made a promise about what would remain when the glamour wore off.

That is a shrewd place to stand in the AI market. Models can make uncertain outputs look wonderfully certain. Web data can break quietly when a page changes, a field moves, or a block appears. Sequentum's own language dwells on precision, compliance, traceability, and reliability. Abrams's work is to turn those engineering nouns into a reason for somebody to care. She is not translating technology down. She is translating business anxiety up.

25,000Employees reached by the Ogilvy intranet rollout a colleague credits Abrams with leading
2023The year she joined Sequentum as fractional chief marketing officer
3 words“Trust in data,” the brand line introduced with Sequentum's 2024 refresh

The adoption problem never changes clothes

Long before AI agents acquired conference badges, Abrams was working on a different kind of corporate interface. A former colleague, Shari Berman, credits her with leading the launch and adoption of Ogilvy & Mather's intranet for 25,000 employees. Berman described her as passionate and dependable, a “captain” who could be relied on through the work. The scale gives the anecdote its bite. Building an intranet is technical. Persuading 25,000 people to treat it as part of the working day is behavioral.

The distinction has followed Abrams through a career that includes marketing, communications, change management, and product or platform work at Ogilvy, Omnicom Media Group, JPMorgan, Verizon, and startups. The employers span advertising, media, banking, telecommunications, and software. The problem underneath is remarkably stable: a new system is only as useful as the willingness of people to understand and adopt it.

“When demand drives you to a comedy club, you know something is working.”Elizabeth Abrams, after Sequentum's New York Tech Week workshop

Her education makes the route into marketing less predictable. Abrams attended the United States Merchant Marine Academy, then earned an MBA in marketing from the University of Washington's Foster School of Business. Her public profiles do not offer a tidy origin myth connecting one to the other, so a tidy myth would be dishonest. What the record does show is a career comfortable with institutions, systems, and the people who must navigate both.

Marketing, communications, change management, and adoption work across Ogilvy, Omnicom Media Group, JPMorgan, Verizon, and startups.

Joins Sequentum as fractional chief marketing officer, leading marketing and communications.

Sequentum introduces refreshed branding centered on “trust in data.”

AI Magic Wand, Checkout Agent, and Agent Builder give the message a new setting: AI-assisted work with visible controls.

A hands-on Agent Builder workshop lands at The Stand during New York Tech Week.

A magic wand with paperwork

In November 2025, Abrams promoted a live session for a Sequentum Cloud feature called AI Magic Wand. The name belonged to the moment. The substance was more careful. The tool used high-level intent to help turn desired outcomes into working web-data flows. Reusable command templates and upcoming tools were part of the demonstration. Standards and enterprise durability stayed in the conversation. Magic, in this telling, still had documentation.

That balance became sharper with Agent Builder in May 2026. A user describes the data needed. AI helps determine where to go, how to navigate, and what to extract. The system previews its work. Then comes the interesting restraint: once the workflow reaches production, the AI steps aside and deterministic code runs repeatedly, with a record of each step. A visual editor covers the stubborn final adjustments that separate a promising demo from a useful data pipeline.

Describe the data
AI builds and shows the workflow
Approved code runs with an audit trail

For a marketer, the last part is gold precisely because it refuses glitter. It gives the buyer an answer to “what happens next?” The code behaves predictably. Acceptance criteria can flag anomalies. The workflow can be reviewed. In a category where possibility is cheap, constraint becomes evidence.

Elizabeth Abrams's LinkedIn banner reading Web data you can trust for the AI era and Sequentum MCP now on Claude
The argument in banner form: Abrams's public profile puts trust first, AI second, and the product detail in the middle.

Abrams's public writing stays close to launches, teams, and rooms where products are being tried. “I love product launch days!” she wrote while introducing Sequentum's Checkout Agent collaboration with Skyfire. The enthusiasm is direct, but she tends to anchor it with what is occurring: a live transaction, an audit trail, an event time, a named partner. The nouns do useful work.

Six agents and good coffee

The most human scene in the record arrives at The Stand, the Manhattan comedy club. Sequentum's third event tied to New York Tech Week had enough interest to move there. The session was hands-on: attendees brought laptops and real data problems, then built agents. Abrams singled out one participant who had six running in parallel. She thanked the Sequentum team, the venue, and Daily Provisions for the coffee. A corporate event recap with caffeine and a punch line is still a corporate event recap, but at least it admits that rooms have texture.

“The team takes the work seriously (our clients count on it), but we also know how to have fun,” she wrote. It is a line that could collapse into culture-copy fog. The comedy-club setting rescues it. The work was serious enough to involve governed data pipelines; the venue had spent decades training audiences to punish vague premises.

Her role also places her near the human machinery of a company in transition. In summer 2026, Sequentum announced that co-founder Tony Jaensch would serve as acting CEO, alongside promotions for BC Wilson, Casey O'Neill, and Dave Reinlieb. Abrams congratulated the new leadership and thanked outgoing CEO Sarah McKenna. “Working alongside her (for the second time) has been a privilege,” she wrote, then praised the stronger team McKenna left behind. The aside about a second collaboration hints at a professional relationship with history, without turning a personnel announcement into autobiography.

The useful product story begins where the demo ends: who can see the logic, repeat the result, and explain what happened?The positioning Abrams has helped bring forward at Sequentum

The marketer as translator

“Fractional CMO” can sound like a title designed by an accountant with a set of kitchen scales. In practice, the role demands compression. The executive has to learn a business quickly, locate the argument with the most carrying power, and give other people language they can reuse. Abrams arrived at Sequentum in September 2023. Four months later, its refreshed brand had a clear center. Since then, successive products have stretched the same idea from trustworthy data toward trustworthy agents.

The fractional arrangement also suits the shape of Abrams's public career. Her biography does not describe one long ascent through a single industry. It describes recurring assignments around new products, new platforms, and organizational change. Those are moments when a company briefly loses the luxury of speaking only to itself. Engineers need salespeople to understand what has been made. Leaders need employees to change a routine. Customers need a reason to put a new system near consequential decisions. The marketing brief is therefore larger than a campaign and smaller than a corporate philosophy. It is a working agreement about what the thing does, why it matters, and which claims can withstand scrutiny.

At Sequentum, that agreement keeps returning to evidence. Even the cheerful launch posts carry operational details: how a user starts, when AI participates, where a human can adjust the result, and what is recorded afterward. Abrams does not appear in those posts as the engineer who built the machinery. Her contribution is making the boundary around the machinery visible. In enterprise technology, the boundary may be the most valuable feature in the room.

That continuity matters. Brand strategy becomes empty when it sits above the product like decorative molding. Here, the message maps onto the architecture: transparent logic, repeatable execution, checkpoints, and records. It also maps onto a buyer's worry. A financial institution, government agency, or large company does not merely need data. It needs to know how the data came to be there.

Abrams's career suggests that the marketer's real instrument is not volume but legibility. At Ogilvy, the task involved getting thousands of employees to use a shared platform. At Sequentum, it involves helping buyers distinguish a governed production system from a clever demonstration. Both ask the same quiet question: can ordinary people make this new machinery part of consequential work?

The answer cannot be supplied by a slogan alone. Yet a good slogan can point toward the answer. “Trust in data” is useful because it creates an obligation. Every launch must demonstrate it. Every agent must leave evidence. Every grand AI claim eventually has to survive the person clearing a throat at the end of the meeting. Abrams has built her latest chapter around being ready for that person.