Conduit AI Launches Today Promising to Cut Costs and Drive Conversions Across Support and Sales

Conduit AI, a new conversational automation platform, has officially launched today, introducing a fresh approach to how businesses manage customer interactions. Unlike traditional chatbots that sit on the sidelines, Conduit positions its agents as AI teammates that learn, adapt, and operate across every communication channel — from calls and email to SMS and live chat.

The launch marks Conduit’s move out of private testing and into general access. The company is betting on an AI-native help desk model, one that promises to reduce service costs while simultaneously improving conversion rates in sales.

A Unified Inbox Built for AI Agents

At the center of Conduit is a unified inbox designed to house all customer interactions in one place. Instead of handling conversations in fragmented tickets, Conduit keeps a single contact thread that spans phone calls, text messages, emails, and web chats.

This design gives both human staff and AI agents the full context behind every interaction. By managing conversations at the contact level, Conduit says businesses can avoid the channel silos that plague traditional support systems.

“Our inbox was carefully designed to help teams increase automation over time,” said co-founder Punn Kam in the company’s Product Hunt launch note. “We believe automation is a continuous journey, and that requires teaching and managing your AI teammates.”

From Support to Sales

Internally, Conduit has already shown that automation isn’t limited to customer service. The team reports that the platform now automates nearly 80% of inbound support while also powering outbound sales sequences that “convert materially better” than before.

This dual focus — efficiency in support and acceleration in sales — sets Conduit apart from typical chatbot platforms that remain focused only on help desk workflows.

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Workflow Automations That Go Beyond Replies

A core differentiator is Conduit’s workflow engine, which functions like Zapier or n8n. Rather than simply answering questions, agents can take real actions. For example:

Assigning a maintenance task
Texting a vendor with updates
Confirming back to the customer
Closing the loop in the same conversation

These workflows can be triggered reactively by customer inquiries or proactively by system events, creating a blend of reactive and proactive automation.

Agents That Continuously Improve

Most chatbot systems are static, relying on pre-programmed flows or limited AI tuning. Conduit’s Agent Hub allows teams to train, test, and govern their agents like human employees. Standard operating procedures (SOPs), external knowledge bases, and agent “working hours” can be layered into the system.

Agents also improve over time by learning from real conversations — a design meant to eliminate the all-too-common plateau seen in many AI deployments.

Voice AI Comes Standard

One of Conduit’s boldest moves is to embed voice AI directly into its platform. Businesses can bring human-like agents online to answer inbound calls, qualify leads, or provide round-the-clock support.

With the global market for AI voice assistants projected to grow rapidly, Conduit’s decision to integrate this at launch could prove to be a strategic differentiator.

Stress Testing and Guardrails

Another notable feature is Conduit’s ability to simulate conversations before deployment, reducing the unpredictability often associated with large language models. The platform is also policy-compliant, enforcing SOPs and protecting sensitive data while maintaining SOC 2 Type II compliance standards.

Target Users: From Builders to Enterprises

Conduit’s launch strategy highlights three main audiences:

Builders and tech-savvy teams who want to design and iterate on agents directly.
Enterprises, where the Conduit team helps implement and tune use cases against existing SOPs.
Agencies and affiliates, who can resell the platform, integrate it for clients, and scale revenue through a usage-based model.

This flexibility positions Conduit as more than a startup tool — it aims to serve both mid-market teams experimenting with automation and enterprises looking for scalable solutions.

How to Get Started

To encourage experimentation, and a $2,000 AI credit package for the first 25 sign-ups who use the code CONDUITPH during registration.

In addition, the company is awarding $1,000 in credits to three of the most creative conversational workflow ideas submitted by early adopters.

Competitive Context

The launch comes as conversational AI adoption accelerates across industries. According to a recent Gartner report on customer service technology, more than 70% of customer interactions will involve emerging technologies such as AI within the next three years.

Conduit enters a crowded market that includes tools like Intercom, Ada, and Zendesk AI. But by focusing on AI-first design, omnichannel context, and workflow execution, the company is positioning itself as an alternative that goes beyond chatbots to act as a true teammate.

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Questions for the Industry

As Conduit AI steps onto the stage, several questions remain:

Will businesses embrace the idea of “training” AI teammates as they would human staff?

Can Conduit’s workflow-driven agents deliver measurable ROI beyond cost savings — such as new revenue opportunities?

And how quickly will enterprises be willing to trust voice AI agents with customer-facing calls at scale?