DronaHQ launches agentic AI platform for enterprise-scale workflow automation

The new no-code platform is designed to help enterprises build, deploy and govern AI agents with integrated cost visibility, workflow orchestration and compliance controls, targeting organizations moving from AI experimentation to large-scale operational deployment.

DronaHQ has unveiled its new agentic AI platform, a production-focused no-code environment aimed at enabling enterprises to build, deploy and manage AI-powered agents at scale.

The company said the platform is designed for organizations transitioning from experimental AI pilots to real-world operational deployments that require governance, auditability and financial accountability.

According to DronaHQ, the platform addresses a growing challenge faced by enterprises adopting AI agents — integrating them with existing systems while maintaining oversight over workflows, approvals, compliance and operational costs.

“After over a decade in the trenches of how enterprise software actually gets built, we're convinced the agentic world changes everything,” said the Co-Founder, Jinen Dedhia. “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.”

Focus on enterprise AI infrastructure

The company stated that many organizations struggle to operationalize AI agents after initial demonstrations due to infrastructure complexities. These include connecting agents with enterprise databases, maintaining memory across sessions, implementing human approvals and ensuring policy compliance.

DronaHQ’s platform integrates these capabilities into a unified environment, reducing the need for businesses to combine multiple third-party tools before deployment.

The platform enables enterprises to create AI agents capable of interacting with internal systems, enterprise knowledge bases and operational workflows. Users can also deploy agents across chat, voice and application interfaces without duplicating logic.

Among the supported use cases are customer support automation, finance and operations workflows, HR assistance, document processing and engineering task management.

The company said the platform includes more than 5,000 ready-made tools and built-in skills, along with tracing, guardrails, evaluation mechanisms and human-in-the-loop approvals for enterprise governance.

Emphasis on cost visibility and ROI

Alongside the platform launch, DronaHQ introduced “Artisan,” an onboarding copilot designed to help enterprises configure AI agents by describing intended workflows instead of manually defining every instruction or integration.

A major differentiator highlighted by the company is its focus on cost transparency. DronaHQ said every AI agent interaction is tracked and priced, allowing enterprises to monitor model usage, orchestration steps, tool execution and human review costs for individual outcomes.

The company believes this approach could help enterprises better evaluate return on investment from AI deployments, especially as organizations increasingly manage large numbers of AI agents across departments.

DronaHQ also said its pricing structure is based on AI credit consumption and workload execution rather than traditional seat-based licensing models.