Chief Executive Officer
“We’re investing heavily in growth, but the business isn’t getting enough return.”
An HG Insights point of view
Sales, marketing, operations, data, and customer teams can each be making sound decisions from different versions of the market, the customer, and the opportunity. Humans compensate for those differences. AI agents can amplify them, resulting in conflicting decisions and actions.
EXECUTIVE LENSES
Chief Executive Officer
“We’re investing heavily in growth, but the business isn’t getting enough return.”
Chief Operating Officer
“Strategic priorities are not translating consistently into coordinated execution.”
Chief Revenue Officer
“We cannot pursue everything. Where should we deploy people and resources?”
Chief Marketing Officer
“We’re generating activity, but not enough of it is translating into pipeline and growth.”
Chief Data Officer
“We do not have one governed definition of the account, customer, and market.”
Chief Technology Officer
“"We’re trying to scale AI and automation across a fragmented technology environment."”
Different symptoms. Same underlying problem: teams making decisions from different versions of the market, customer, and opportunity.
Nearly 8 in 10 organizations report no significant bottom-line gains from AI, mostly due to fragmented pilot programs, weak data, and insufficient governance foundations.
McKinsey & Company — Agents for growth: Turning AI promise into impact
HOW FRAGMENTATION SHOWS UP
Functions, regions, business units, strategic accounts, customer segments, overlapping structures.
Different hierarchies, ownership models, segments, buying entities, and definitions of the same account.
Different systems, sources, records, taxonomies, definitions, and levels of trust.
Different criteria for what matters, what deserves attention, and how priority is determined.
Different handoffs, ownership, next actions, and execution.
These dimensions often overlap, and each can make the others harder to resolve.
FROM STRATEGY TO EXECUTION
Leadership can make a clear strategic decision at the top. The problem is what happens as that decision moves through planning, systems, teams, and execution.
Here is one illustrative example.
Grow by expanding existing enterprise customers into additional business units and regions.
RevOps translates that strategy using the CRM account hierarchy. Some subsidiaries sit under the global parent. Others are treated as separate accounts.
Marketing sees buyer activity in a subsidiary through a different data structure and treats it as a separate prospect.
Sales owns the parent account but does not see the subsidiary’s buyer activity. Customer Success sees adoption and expansion signals elsewhere.
A marketing agent starts a new-logo motion against the subsidiary while a sales prioritization agent deprioritizes the parent because the expansion signal is missing.
The original strategy was expansion.
The execution became conflicting actions against different versions of the same customer.
What gets put at risk: the expansion opportunity, the customer experience, and the time and capacity of the teams pursuing the account.
The strategy did not fail. It fragmented on the way to execution.
THE ENTERPRISE REALITY
Each can create real value.
But if those successes rely on different account structures, data, definitions, priorities, or workflows, the enterprise may struggle to scale what works.
Fragmentation has persisted because experienced people can often detect, reconcile, and work around inconsistencies before acting.
THE NEW RISK
Different teams use different definitions
TraditionalPeople recognize and work around the differences.
AgenticAgents can turn different definitions into conflicting automated decisions.
Information lives across disconnected systems
TraditionalPeople gather and reconcile before acting.
AgenticAgents may act on incomplete or conflicting context.
Decision rules differ by team or remain undocumented
TraditionalExperienced people know the exceptions.
AgenticAgents can apply inconsistent rules without recognizing the exception.
Work moves through disconnected handoffs
TraditionalMeetings, messages, and judgment bridge the gaps.
AgenticAutomated actions can collide across functions, creating contradictory customer engagement or wasted effort.
Decision speed and scale
TraditionalPeople have time to notice, question, and correct inconsistencies.
AgenticAgents can propagate those inconsistencies before people have a chance to intervene.
AI does not resolve organizational disagreement. It scales it.
THE FOUNDATION
Before people, workflows, and AI can act consistently, the organization has to agree on the basics: how accounts are structured, which markets matter, which data is trusted, what drives priority, who owns decisions, and what should happen next. This doesn’t mean every team needs the same process or tools. It means the decisions that depend on shared context need clear rules, ownership, and governance across functions.
Outcomes
How work happens
Foundation
WHAT THE RESEARCH SHOWS
“Many organizations also overestimate their data maturity—investing in AI applications before addressing core data or infrastructure gaps, which delays results.”
Deloitte — AI ROI: The paradox of rising investment and elusive returns
YOUR TURN
Take one real growth motion — a market, territory, segment, or strategic account — and ask the relevant teams to answer the same questions independently.
| Question | STRATEGY | SALES | MARKETING | REVOPS | DATA / ANALYTICS |
|---|---|---|---|---|---|
| Which market or segment should we prioritize? | |||||
| Which accounts matter most within it? | |||||
| Do we agree on how those accounts are structured? | |||||
| What makes an account a priority now? | |||||
| Where is the actual growth opportunity? | |||||
| What should happen next? | |||||
| Who owns that decision? |
Compare the answers.
If teams disagree materially, they may be working from different definitions, data, priorities, or rules.
That is the fragmentation.
Share the assessment with the people responsible for growth across your organization and compare the answers together.
HG’S ROLE
HG can provide an independent view of the market, accounts, technology landscape, buyer activity, and expansion opportunity using connected data.
Use that outside view to pressure-test the assumptions your teams are acting on.
01
See what connected context can produce.
Example account brief — coming soon.
02
THE FABRIC
Take a look at how HG connects market, account, and buyer context to give GTM teams and AI agents the shared picture they need to make better decisions and act with precision.
Explore the connected foundationThe goal is not to make every team work the same way. It is to make sure they are making decisions from the same reality.