No-code agents
The first story made the tool easy to understand and quick to try.
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Convogenie case study
Evolving Convogenie from AI chatbot/tool messaging into an AI team for growth and operations.
Convogenie started with no-code AI-agent and WhatsApp automation language. Across website versions, collateral, and campaign assets, the story matured into a clearer B2B narrative: leads captured, campaigns running, operations moving 24/7.
Evolution map
The strongest proof is how the story matured.
No-code tool → autonomous agents → lead nurturing → AI team for business execution.
Convogenie AI
Autonomous work
The next version connected agents to customers, leads, employees, and workflows.
Beyond chatbots
Sales, support, and lead nurturing became clearer use-case paths.
AI team
The current site frames Convogenie as agents for growth, campaigns, operations, and execution.
SignalThe case is about product-marketing judgment: making a broad AI platform easier to understand, sell, and repeat.
What I shaped
Four surfaces carried the positioning.
The work was to make the same product truth show up across the website, collateral, and GTM material.
Website structure
Page flow, sections, use cases, and customer-facing product explanation.
Product messaging
Moving from generic AI tool language toward business outcomes and execution.
Sales collateral
Brochure and deck language around agents, channels, nurture flows, and integrations.
Campaign content
LinkedIn, WhatsApp templates, and follow-up sequences around support, leads, and trust.
Why this project matters
I can turn a broad AI product into a clearer business story.
Convogenie shows the pattern I want the portfolio to prove: product understanding, positioning judgment, website structure, GTM content, and founder-feedback iteration.
ClarityMade the product easier to explain beyond chatbot language.
Business valueConnected agents to leads, campaigns, support, and operations.
ExecutionCarried the story across websites, collateral, and campaigns.