DronaHQ Launches No-Code Agentic AI Platform for Enterprise Workflows and Governance

The platform allows agents to connect with internal databases, systems of record, and knowledge bases while supporting over 5,000 pre-built tools and skills.

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DronaHQ Launches No-Code Agentic AI Platform for Enterprise Workflows and Governance
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DronaHQ has launched its Agentic AI Platform, a no-code environment designed to help enterprises build, deploy, and govern AI agents for operational workflows at scale.

“After over a decade in the trenches of how enterprise software actually gets built, we're convinced the agentic world changes everything. We're not shipping another wrapper around a model. This is a complete stack for agents that work at enterprise scale and that finance can actually reason about,” said Jinen Dedhia, DronaHQ Co-Founder.

DronaHQ said enterprises often struggle after early AI agent deployments with challenges such as connecting agents to live systems, managing memory, implementing human approvals, maintaining compliance guardrails, and tracking operational costs. The new platform aims to address these issues through integrated governance, tracing, and pricing capabilities.

The platform allows agents to connect with internal databases, systems of record, and knowledge bases while supporting over 5,000 pre-built tools and skills.

Enterprises can also build retrieval-augmented generation (RAG) agents, OCR-based document processing systems, and workflow automation tools across chat, voice, and API channels.

The platform is designed for use cases across customer support, finance, HR, and software engineering. The company also introduced Artisan, an onboarding copilot that helps teams configure AI agents using natural language prompts.

A key differentiator of the platform is its focus on operational economics. DronaHQ said every agent interaction is traced and priced, including model usage, orchestration steps, tool calls, and human review time, enabling organizations to calculate the cost per outcome.

The company said its AI-credit pricing model allows customers to pay only for active agentic workloads rather than traditional subscription-based licensing.