Beasley Media Group is putting AI agents at the center of its advertising sales operation, deploying Futuri’s TopLine Enterprise across all of its markets under a multiyear agreement. The move gives sellers AI-assisted tools for prospecting, account research, outreach, meeting preparation, proposal development and campaign reporting, while leaving human sellers responsible for client-facing decisions and communications.
The deployment reflects a broader shift in advertising technology: media companies are moving beyond isolated AI experiments and toward systems that connect audience intelligence, sales workflows and campaign measurement.
TopLine Enterprise is designed as a revenue intelligence platform for media organizations. At Beasley, it combines the company’s sales, audience, campaign and market data with commercially available business and advertising information through Futuri’s data platform. The resulting system is intended to generate market-specific research and recommendations for advertisers buying across radio, streaming, digital, events and creative services.
For sales teams, the practical value is less about generating another AI-written email and more about compressing the preparation work that surrounds a client relationship. The platform’s AI agents can identify potential prospects, prioritize opportunities, research accounts, draft business-to-business outreach and prepare questions for needs-analysis meetings.
Other workflows extend into campaign execution and measurement. With appropriate notice and consent where required, TopLine Enterprise can record and transcribe meetings and produce follow-up communications. Its agents can also recommend marketing plans, identify potential co-op funding, develop audio or visual spec spots and assemble campaign reporting using available advertising performance and anonymized store-visit data.
That puts Futuri in an increasingly crowded category spanning sales intelligence, AI sales assistants, CRM automation and media planning technology. Platforms from companies such as Salesforce and Microsoft are pushing AI deeper into enterprise sales workflows, while specialized advertising and media technology vendors are building tools around audience data, campaign activation and measurement.
The differentiator for media companies is likely to be context. A generic sales copilot can summarize an account, but a media-specific platform can potentially combine advertiser information with local audience, market and campaign signals. For broadcasters managing multiple advertising channels, that context could help sellers move from selling individual inventory products toward proposing broader cross-channel campaigns.
Beasley is also emphasizing human oversight. Sellers review and approve AI-generated research, recommendations and communications before they reach advertisers. That distinction matters as enterprises evaluate agentic sales technology: automation can accelerate research and administrative work, but the credibility of a recommendation still depends on data quality, judgment and accountability.
Gartner’s 2026 research reinforces that point. Its survey found sales organizations providing AI-enabled next-best actions were 2.6 times more likely to achieve commercial growth, while Gartner also warned that AI agents without integrated data, workflows and user experience can create “agent sprawl.”
For Beasley, the deployment is also a test of whether AI can become operational infrastructure rather than a collection of disconnected productivity tools. The company says the rollout was completed across its markets during summer 2026, with training led by Chief Business Officer Kevin LeGrett.
The relationship with Futuri is not new. Beasley has worked with the company for eight years and already uses Futuri products including TopLine Enterprise, TopicPulse and Futuri POST.
The larger industry question is whether other broadcasters and media groups follow the same model. As advertising becomes increasingly fragmented across linear radio, streaming, digital and experiential channels, sales organizations need systems that can connect audience intelligence with measurable advertiser outcomes. AI may provide that connective layer—but only if media companies can integrate their proprietary data and workflows without removing the human judgment advertisers still expect from their sales teams.
Market Landscape
AI is moving from standalone sales assistants toward end-to-end revenue workflows that combine prospecting, research, recommendations, content generation and performance measurement.
Gartner estimates that AI tools currently save sellers an average of 4.8 hours per week, but 72% of sales organizations report failing to reinvest those savings into higher-value activities. Organizations that do reinvest the time are significantly more likely to exceed customer-growth and lead-conversion goals.
That creates an important benchmark for media companies adopting platforms such as TopLine Enterprise. Efficiency alone is not the strongest measure of success. The more meaningful questions are whether AI improves seller capacity, increases the quality of advertiser recommendations and connects media investment to measurable business outcomes.
For broadcasters, the opportunity is particularly relevant as traditional radio businesses increasingly combine terrestrial inventory with streaming, digital publishing, events, creative services and data-driven advertising products.
Top Insights
- Beasley is deploying Futuri TopLine Enterprise companywide, giving media sellers AI agents for prospecting, research, proposals, outreach and campaign reporting.
- The platform combines proprietary sales and audience information with external business data, creating market-specific intelligence for local advertising opportunities.
- Human sellers retain approval over AI-generated recommendations and communications, keeping relationship management and client-facing decisions under human control.
- The deployment reflects a wider shift from standalone AI sales tools toward integrated revenue systems spanning prospecting, planning and measurement.
- For media companies, the competitive advantage may come from combining AI automation with proprietary audience, market and campaign data.
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