Unleash Artificial Intelligence as a Revenue Powerhouse with Agentic Data Management

May 13, 2025

The Artificial Intelligence Investment That Didn’t Pay Off

A global financial services firm invested millions in artificial intelligence (AI) to predict customer churn. The models were state-of-the-art, but results stalled. Why? Because the data feeding those models was incomplete, inconsistent, and fragmented across silos. The insight was there—but buried under unreliable data.

As Chief Revenue Officer at Acceldata, I’ve seen this story play out too many times. The real challenge isn’t scaling AI. It’s trusting the data it runs on.

That’s where Agentic Data Management (ADM) changes the game.

Why AI Still Falls Short—and Where Revenue Suffers

We’re at an inflection point. According to Deloitte, AI-driven companies enjoy a 15 percent market share advantage, but 60 percent of organizations still wrestle with siloed, untrusted data (IDC).

Consider this: a financial technology (fintech) leader recently saw a 20 percent drop in conversion rates—not due to flawed strategy, but due to poor-quality customer relationship management (CRM) data undermining AI-generated lead prioritization. That’s millions in lost revenue due to unreliable data.

Revenue leaders cannot afford AI investments that stall. What’s needed is an autonomous data foundation that ensures trusted, governed, and actionable data at scale.

Agentic Data Management: A New Operating Model for Revenue Growth

Agentic Data Management is more than a platform. It’s a new model for managing data as a strategic revenue asset.

It detects, understands, and resolves data issues in real time using intelligent AI agents. These agents prioritize what matters most to revenue, leveraging past resolutions to accelerate business impact. With built-in memory and reasoning, ADM makes data management self-healing, explainable, and aligned with growth goals.

Whether optimizing lead scoring, sales territories, or customer targeting models, ADM ensures AI isn’t guessing—it’s acting with clarity.

Agentic Data Management: A New Operating Model for Revenue Growth

How ADM Accelerates Revenue Teams

ADM brings autonomy, intelligence, and reliability to your go-to-market (GTM) engine:

Target the Right Opportunities

ADM enables GTM teams to identify and act on high-impact opportunities by surfacing reliable, real-time data insights across systems. One retail enterprise improved conversion rates by 15 percent after refining their audience segments with ADM-powered behavioral data analytics.

Ensure Trustworthy Data at Scale

ADM continuously monitors and corrects quality issues—automatically. A global technology firm could improve CRM data reliability by 20 percent, resulting in cleaner pipeline forecasts and more confident sales motions.

Collaborate Smarter, Not Harder

With ADM’s Business Notebook, cross-functional teams interact with data in plain language, see the context behind actions, and align faster. A fintech company could achieve a 25 percent lift in marketing and sales key performance indicator (KPI) alignment, compressing deal cycles significantly.

Cut Waste, Reinvest in Growth

ADM reveals cloud data cost inefficiencies through intelligent cost governance. A manufacturer could redirect 20 percent of savings from compute optimization to AI-powered revenue initiatives.

Customer Voices: From Insight to Impact

“Before ADM, data inconsistencies disrupted our campaigns. Now, AI insights actually drive conversions.”
— Chief Marketing Officer, Global Retail Brand

“Our revenue operations relied on hunches. Now, ADM brings visibility, trust, and speed to every deal.”
— Vice President of Sales, High-Growth Technology Firm

A Chief Revenue Officer’s Mandate: Make Data Your Competitive Edge

AI is projected to drive over $1.2 trillion in global sales by 2030 (McKinsey), but only organizations that trust their data will capture their fair share.

ADM gives revenue leaders the ability to unify data quality, governance, cost control, and AI readiness into one intelligent system—without the overhead of managing fragmented tools.

With ADM, GTM teams don’t just get better data—they get smarter, faster outcomes.

Key Takeaway

“ADM empowers revenue teams with autonomous data insights they can trust—turning AI from a science project into a scalable growth engine.”
— Mike McQuaid, Chief Revenue Officer, Acceldata

Ready to Activate Revenue with ADM?

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Mike McQuaid

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