Artificial intelligence is increasingly reshaping marketing technology, but enterprise adoption is being driven by more than automation alone. Organizations are placing greater emphasis on trustworthy AI, governance, privacy, and brand consistency as generative AI becomes embedded in everyday marketing workflows.
That shift is reflected in Ragan Communications’ decision to recognize Catharine Montgomery, Founder and CEO of Better Together Agency, as an honoree in the AI and Innovation Leaders category of its Top Women in Marketing Awards 2026.
The recognition follows the launch of TogetherAI, a private AI communications platform introduced earlier this year to help nonprofits, advocacy groups, and startups generate organization-specific content using their own approved messaging, reports, and institutional knowledge rather than relying on generic public AI models.
Unlike general-purpose conversational AI assistants, TogetherAI is designed to operate within a controlled organizational environment. Instead of requiring users to craft complex prompts, the platform allows communications teams to submit straightforward requests while automatically grounding responses in approved internal content.
This approach addresses one of the growing concerns surrounding enterprise AI adoption: maintaining brand consistency while reducing the risk of inaccurate or biased AI-generated content.
The platform incorporates bias evaluation across categories including race, gender, age, disability, income, and geography before responses are finalized. It also keeps organizational data within a private environment, reflecting increasing demand for secure AI deployments among organizations handling sensitive communications and stakeholder engagement.
These capabilities align with broader enterprise AI trends as marketing teams seek tools that improve productivity without compromising governance or regulatory expectations.
According to Better Together Agency, organizations using TogetherAI have reported completing policy-related communications work approximately 15% faster, enabling communications professionals to devote more time to strategic planning, advocacy, stakeholder engagement, and creative development.
The technology illustrates how AI is becoming increasingly specialized across marketing disciplines. Rather than replacing communications professionals, platforms like TogetherAI are being positioned as decision-support systems that accelerate content production while preserving organizational voice and editorial oversight.
Montgomery’s recognition also reflects growing industry attention on responsible AI governance.
Beyond product development, she completed advanced policy work through the Center for AI and Digital Policy’s AI Policy Clinic, contributing research on international AI governance initiatives including the European Union’s AI Act, the Council of Europe AI Treaty, and UNESCO’s Recommendation on the Ethics of Artificial Intelligence. Those frameworks continue influencing how enterprises evaluate transparency, accountability, and risk management when deploying AI-powered technologies.
The combination of technical innovation and governance expertise is becoming increasingly valuable across the marketing technology landscape. Organizations are no longer evaluating AI solely on productivity gains but also on explainability, privacy protections, bias mitigation, and regulatory readiness.
This evolution is influencing the broader advertising and marketing ecosystem. Major technology companies including Google, Microsoft, Adobe, and Amazon continue expanding generative AI capabilities across campaign creation, audience insights, analytics, and customer engagement. At the same time, niche platforms are differentiating themselves through industry-specific datasets, private deployments, and governance-focused architectures.
Industry analysts expect these priorities to remain central to enterprise AI investment. According to Gartner, responsible AI governance and trustworthy AI practices are becoming foundational requirements as organizations integrate artificial intelligence into business operations. IDC similarly projects sustained enterprise AI spending as businesses prioritize secure, explainable, and operationally integrated AI systems.
For marketing agencies and communications teams, the announcement signals an important shift in how AI platforms are evaluated. Productivity remains important, but long-term adoption increasingly depends on protecting proprietary data, reducing bias, maintaining brand integrity, and providing transparent decision-making processes.
While Ragan’s award recognizes individual leadership, it also reflects broader momentum toward AI systems designed specifically for organizational communications rather than consumer-facing conversational assistants. As enterprise marketing matures, platforms combining automation with governance, privacy, and explainability are likely to become increasingly significant components of the marketing technology stack.
Market Landscape
Enterprise marketing is entering a new phase where AI adoption is driven by governance as much as automation. Organizations increasingly seek private AI platforms capable of protecting proprietary information, reducing bias, maintaining brand consistency, and supporting regulatory compliance. This trend is accelerating investment in specialized AI applications designed for communications, advertising, customer engagement, and content operations.
Strategic Outlook
The recognition of Catharine Montgomery highlights how responsible AI is becoming a competitive differentiator within marketing technology. As regulatory frameworks evolve and organizations demand greater transparency, AI platforms emphasizing governance, explainability, and secure enterprise deployment are expected to gain broader adoption across agencies, nonprofits, and enterprise marketing teams.
Top Insights
- Ragan recognized Better Together Agency’s Catharine Montgomery for advancing responsible AI innovation in marketing through the development of the TogetherAI communications platform.
- TogetherAI combines private organizational data, bias detection, and explainable AI to help nonprofits and startups generate consistent, brand-safe communications.
- The platform reflects growing enterprise demand for governance-focused AI that balances productivity with privacy, transparency, and regulatory readiness.
- Responsible AI principles, including bias mitigation and organizational data protection, are becoming key differentiators across marketing technology platforms.
- The award underscores how specialized AI solutions are complementing broader generative AI ecosystems with industry-specific functionality and governance.
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