Data-DI launched AltaBots.ai as an enterprise AI Agent platform and needed a clear product position. VOCAL MIDDLE framed the launch around enterprise adoption barriers, operating scenarios, and usage evidence, generating more than 10 media placements and approximately NT$1.5 million in PR value.
Data-DI needed enterprise decision-makers to distinguish AltaBots.ai from the growing field of AI tools. The launch narrative shifted attention from model capabilities and feature counts to data integration, workflow connectivity, and scalable deployment, giving prospective customers a practical basis for assessing how the platform could fit their existing operations. The work also created a shared reference for content planning, cross-functional coordination, and future market communications across the organization. This gave future teams a practical basis for consistent decisions and execution.
Generative AI products often use similar language around models, assistants, and automation, making a feature-led launch easy to overlook. Enterprise adoption also depends on fragmented data, complex processes, security, and the difficulty of scaling beyond pilots. Data-DI’s advantage came from cross-industry consulting and deployment experience, so the communication needed to define the operational problem first and then explain the platform through use cases and evidence. A coherent structure was therefore essential to connect evidence, audience priorities, and channel choices without reducing the work to a one-off campaign. It also gave the audience a clearer basis for evaluating the brand.
Lead with adoption barriers
The release began with fragmented data, disconnected processes, and pilots that fail to scale, positioning AltaBots.ai as an application layer connecting enterprise data, systems, and daily work.
Translate technology through departmental scenarios
Customer service, retail, HR, and IT scenarios showed who would use the platform, what information it would handle, and how it could fit existing interfaces.
Use adoption evidence as an evaluation cue
Customer experience and operational data supplied by Data-DI were incorporated to give enterprise readers a practical basis for evaluation.
The launch generated more than 10 media placements and approximately NT$1.5 million in PR value, including coverage by Economic Daily News, NetAdmin, and iThome. The published articles consistently presented AltaBots.ai as a multi-scenario AI Agent platform that connects enterprise data and workflows, converting Data-DI’s consulting experience and product direction into durable public information.
1. Why did Data-DI undertake this project?
AltaBots.ai marked a shift from consulting services toward a product platform and required a distinct enterprise adoption position.
2. What strategies and services did VOCAL MIDDLE provide?
VOCAL MIDDLE developed the release narrative around enterprise problems, platform roles, departmental scenarios, and adoption evidence.
3. How did this differ from a standard product launch release?
The content began with data, workflow, and scaling barriers before explaining how the platform could integrate into operations.
4. What verifiable results did the project generate?
The project recorded more than 10 media placements and approximately NT$1.5 million in PR value, with public coverage from major technology and business outlets.
5. How does this case relate to AI PR?
The case organized product functions, use scenarios, and evidence into consistent public information that helps both people and AI identify AltaBots.ai’s enterprise integration position.
