Case study · AI automation

FewzenAI: goal-oriented WhatsApp agents for business.

I built a platform to help businesses create AI agents, manage campaigns and turn customer conversations into useful, measurable work.

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The challenge

Useful conversations need a clear job to do.

Businesses wanted to use WhatsApp as a practical customer channel, but generic chatbots struggled to stay focused, connect to existing customer data or support a repeatable campaign process.

I shaped FewzenAI around goal-oriented agents: each agent could be configured for a specific business purpose, informed by customer context and measured against the outcomes the business cared about.

What I built

A platform for creating, running and improving agents.

01

Custom AI agents

I built agent configuration around a defined goal, customer profile and interaction history, using OpenAI to generate helpful, focused responses.

02

Campaign management

I built a dashboard where teams could design and run targeted WhatsApp campaigns, schedule activity and manage the conversation journey.

03

Integration and insight

I connected CRM and contact data to the platform, with analytics to help teams monitor activity, understand performance and improve the approach.

Engineering focus

Control, context and room to scale.

I combined AI customisation with workflow automation and operational visibility. My emphasis was not just on producing a convincing reply, but on giving the business control over how agents behaved and how campaigns were evaluated.

That meant I designed for high volumes of interactions, reliable integration with existing customer systems, and a dashboard that made it possible to adjust strategy in real time.

“AI works hardest when it has a clear role, useful context and a measurable outcome.”

FEWZENAI · WHATSAPP AI AGENTS
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