Zextiria Rooms Brings AI Agents Into Client Calls

Overview

A new productivity tool called Zextiria Rooms is attempting to solve one of the most persistent friction points in client service: scope creep and poorly documented approval chains. The platform allows both human participants and their respective AI agents to join video calls simultaneously, creating a system where conversational decisions are instantly formalized into legal or project documentation.

The core premise addresses a common scenario in professional services. A client might request an additional revision during a meeting. A team member agrees verbally. Weeks later, however, neither party can locate the specific moment that agreement was made, leading to billing disputes or project delays. Zextiria Rooms aims to eliminate this ambiguity by making the conversation itself the source of truth.

"If you work with clients, you know how this goes: someone asks for an extra revision on a call, someone else says yes, and a few weeks later nobody can find where that was agreed."

According to Chinmay Bhadoria, the creator behind the project, the traditional method of relying on human memory or manual note-taking is fundamentally flawed. By introducing AI agents into the room, the system captures intent in real-time, transforming spoken words into structured data entries that require minimal human intervention to finalize.

How It Works

The technology operates through a unique integration of video conferencing and document management systems. When a user schedules a meeting via Zextiria Rooms, they generate a link that serves a dual purpose. It invites the human client, but it also invites that client’s personal AI agent. This agent acts as a digital proxy, capable of understanding context and negotiating on behalf of its human principal within the bounds set by the user.

During the call, if a change in project scope is discussed, the AI agent monitors the transcript. Rather than leaving the change as a vague verbal promise, the agent automatically drafts an edit to the relevant contract or project document. Crucially, the generated entry quotes the specific participant who requested the change. This creates an immutable audit trail that links the decision directly to the speaker.

1. Join the Call: The client accesses the meeting via a standard link, while their AI agent joins simultaneously in the background.
2. Discuss Scope Changes: As the team discusses modifications to the project, the AI listens and identifies action items or contractual adjustments.
3. Automatic Documentation: The system converts the verbal agreement into a documented edit, attributing the request to the correct individual.
4. One-Click Approval: The human participants review the change on a shared interface. With a single click, the modification is approved and the documentation is updated permanently.

This workflow reduces the administrative burden on service providers. Instead of sending follow-up emails to confirm what was discussed, professionals can rely on the system to handle the transcription and formatting automatically. The goal is to shift the focus of the call back to substantive work rather than administrative housekeeping.

Solving the Accountability Gap

One of the primary value propositions of Zextiria Rooms is the establishment of clear accountability. In many freelance and agency relationships, the line between a casual comment and a binding instruction is blurred. Verbal agreements made over video calls often lack the weight of written confirmation until it is too late.

By quoting who asked for a specific change, the platform removes ambiguity. If a client later claims they did not request a particular feature, the documentation explicitly records their agent’s interaction with that request. This layer of verification protects both the service provider and the client, ensuring that both parties are operating from the same understanding of the project’s evolving requirements.

The integration of AI agents also introduces the possibility of proactive governance. These agents can be programmed with specific constraints, such as budget caps or timeline limits. If a client’s agent requests a change that violates these pre-set parameters, the system can flag the discrepancy immediately during the call, rather than discovering the breach after the work has begun.

Availability and Pricing

The platform is currently available for public testing, emphasizing a low barrier to entry for early adopters. Users can access the basic features of Zextiria Rooms free of charge, allowing them to experience the integration of AI agents in a live meeting environment without financial commitment.

For those seeking advanced capabilities, a professional tier is being offered with limited early-bird incentives. The first ten users to upgrade to the Pro plan will receive a 50% discount by utilizing the code ZEXTIRIAFIRST10. This strategy is designed to gather high-quality feedback from a small group of dedicated power users before a broader market launch.

The development team has indicated that feedback is a critical component of the current phase. By inviting users to test the system and report their experiences, Zextiria aims to refine the accuracy of its AI agents and the seamlessness of its document integration. The ultimate vision is to create a standard for how professional services are conducted, moving the industry away from loose verbal agreements toward precise, AI-augmented documentation.

As artificial intelligence continues to permeate workplace tools, solutions like Zextiria Rooms represent a shift from AI as a mere assistant to AI as an active participant in business negotiations. By bridging the gap between conversation and contract, the platform seeks to restore trust and efficiency to client interactions.