Product-first • Production-ready • Business outcomes

About Dhiyo AI Labs

Dhiyo AI Labs builds production-ready AI automation systems for real businesses. We focus on reliable execution—so AI is not just a demo, it becomes a part of your daily operations.

What We Build

Our work sits at the intersection of AI, communication and workflow automation—built as complete systems with dashboards and logs.

AI Voice Agents
Realtime AI calling agents for sales, support, verification and lead qualification—built with scripts, barge-in and reporting.
WhatsApp Cloud API Automation
Templates, flows, campaigns and shared inbox—built on the official WhatsApp Cloud API for scalable customer communication.
Automation Systems
CRM pipelines, integrations, webhooks and dashboards—so leads and operations move automatically with clarity.
Our
Mission
Make AI automation practical, reliable and useful for everyday business workflows.
Our
Vision
Help businesses scale communication and operations without chaos—using structured AI systems.
Our
Values
Speed with stability: fast development, clean architecture, clear logging and measurable outcomes.

Why Teams Choose Us

We build systems that remain stable after deployment. Our focus is implementation quality, monitoring and continuous improvement.

Production-first
Built for real usage: retry logic, logs, safe flows and monitoring readiness.
Fast execution
We move quickly—from idea to live workflow—without compromising stability.
Automation mindset
We automate processes end-to-end, not just one screen or one bot.
Reporting & transparency
Clear dashboards and logs so teams can review performance daily.

How We Work

Our process is simple: understand your workflow, design a system, launch fast, then improve with feedback and reporting.

Start a Project
Step 1
Discovery
We understand your use case, team structure and current pain points.
Step 2
System Design
Stages, scripts, templates, routing logic and integrations are finalized.
Step 3
Build & Go Live
We build and deploy the system with testing and production logging.
Step 4
Improve
We track outcomes, tune flows and add upgrades over time.
Want to automate your workflow with AI?
Share your use case. We’ll suggest a clean architecture and a practical rollout plan.
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