Synthflow AI'S voice technology goes live on Zoom Phone and Zoom Contact Center, powering conversational CX at scale. * The integration is live across more than 700 Batteries Plus locations, showcasing how the partnership scales AI-powered customer experience for multi-location retail brands. Oct 21, 2026 Prev Next 1 of 43,920 Synthflow AI, an enterprise AI agent platform for customer conversations, announced that its agentic voice AI is now available on the Zoom App Marketplace for both Zoom Contact Center and Zoom Phone, letting enterprises run AI voice agents and human teams in a single workflow, with context carried across handoffs. The integration's first at-scale deployment is live today: Batteries Plus, the nation's leading battery and power solutions service center, has rolled it out on Zoom Phone across its network of more than 700 U.S. locations. Synthflow agents respond in under half a second and resolve routine requests end to end. When a caller needs a person, the agent completes a warm transfer to a human expert, passing along the full transcript and any actions already taken, so that the customer doesn't have to repeat themselves, and the right person picks up with context already in hand. The launch coincides with enterprise buyers growing wary of AI agent hype. Recent Deloitte research highlights that only 15% of organizations have scaled orchestrated, multi-agent adoption, and many that have are stuck applying it to low-risk, low-ROI use cases. Just 5% say their business processes are highly prepared for AI agents at all. Most enterprises layer agents on top of existing processes chasing quick wins, yet only 1 in 5 are prepared to redesign those processes for robust and measurable agentic operation. That gap between AI ambition and measurable return is what Synthflow's Zoom integration closes. Rather than another pilot, Batteries Plus went live across its full network of more than 700 locations, running inside Zoom Phone, a platform already embedded in its operations. For enterprise decision-makers under pressure to prove ROI on AI investment, that combination of production scale and deployment inside an existing, trusted system is the differentiator that turns ambition into proven outcomes. "In retail, the phone call is where customer experience is won or lost, and that amounts to more than just response time. Speed to outcome is what our enterprise customers prioritize, and our integration with Zoom is accelerating that outcome at scale, getting enterprises there in days, not weeks or months," states Hakob Astabatsyan, CEO of Synthflow AI. Zoom's open, API-first architecture lets Synthflow AI agents work inside the existing business workflows enterprises already run, passing conversation state, intent, and customer history into Zoom, and reading back from CRM and ticketing systems. "Organizations want practical ways to put AI to work in the contact center without giving up trust or governance. This integration shows what that looks like at scale, keeping context, quality, and control in one place for both agents and customers," adds Kentis Gopalla, head of product, Zoom CX Ecosystem. Kranthi Malreddy, Chief Information Officer at Batteries Plus, concludes: "From kick-off to pilot, the roll-out with Synthflow and Zoom was just five weeks. This is one of the most impressive integrations I've seen between two pieces of software. Customers are pleasantly surprised by how natural conversations with the agents are and our store associates are able to focus on more complex, critical tasks in store. It's a win-win situation across the board and we're only scratching the surface right now."

Synthflow AI said its voice AI agents are now available on the Zoom App Marketplace for Zoom Phone and Zoom Contact Center. Enterprises can run AI agents and human teams in one workflow, with context carried across handoffs. Batteries Plus, a US battery and power solutions service center, has rolled out the integration on Zoom Phone across more than 700 US locations. Synthflow's agents respond in under half a second and resolve routine requests. When a caller needs a person, the agent transfers the call with the full transcript and actions taken. Batteries Plus chief information officer Kranthi Malreddy said the rollout took five weeks from kick-off to pilot. "Customers are pleasantly surprised by how natural conversations with the agents are," he said. Synthflow has processed over 65 million calls for more than 100 enterprise customers.

AI voice agents for customer support: what they do and when to use them. Persistence Team · August 26, 2026 On this page Key takeaways * AI voice agents can answer calls 24/7, resolve common issues, and hand off complex cases to humans. * Most vendor comparisons in 2026 name Retell AI, PolyAI, Cognigy, Sierra, Decagon, and Ada among the leading options. * Cost and setup vary a lot by vendor, call volume, and how deeply the agent integrates with existing support tools. * The right fit depends on your call types: high-volume, repetitive requests are better candidates than complex or emotionally sensitive calls. * Evaluate by testing real call scripts, not demos, and by checking how the agent handles interruptions and edge cases. What is an AI voice agent for customer support? An AI voice agent is software that answers phone calls, understands what a caller wants, and responds in natural speech. It can look up account details, answer common questions, take actions like rescheduling or refunding, and route the call to a human when needed. Vendors like Salesforce describe this as giving customers 24/7 access to quick, automated resolution over the phone (salesforce.com). ElevenLabs frames the same idea as agents that qualify leads, book meetings, and resolve support issues in real time with human-like conversation (elevenlabs.io). Should you use AI voice agents for customer support? The honest answer: it depends on your call mix. If a large share of your calls are repetitive - order status, password resets, appointment changes, basic troubleshooting - a voice agent can resolve many of them without a human ever picking up. NiCE describes this pattern as voice agents independently resolving common issues or collaborating with human agents on harder ones (nice.com). If your calls are mostly complex, high-stakes, or emotionally charged, a voice agent should route to a human quickly rather than try to handle everything. The technology works best as a first responder and escalation filter, not a full replacement for support staff on every call type. How are AI agents used in customer service today? Independent comparisons from 2026 group vendors by what they're best at. Retell AI's own review lists Retell AI, PolyAI, Cognigy, CloudTalk, Lindy AI, and Synthflow AI as top picks for voice-specific support use cases (retellai.com). Kore.ai's buyer's guide names Kore.ai, Zendesk, Cognigy, Omilia, SoundHound, Sierra AI, and Yellow.ai as leaders across the broader customer service AI agent category (kore.ai). Assembled's review focuses specifically on voice and lists Assembled, Cresta, Sierra, PolyAI, Decagon, Regal, Ada, and Forethought (assembled.com). Botpress and Fin AI both cover text-first and omnichannel agents including Ada, Crescendo.ai, Fin, Zendesk, and Tidio (botpress.com, fin.ai). The overlap across these lists - PolyAI, Cognigy, Sierra, Ada, Fin - is a reasonable starting shortlist if you're comparing options. How to create an AI agent for customer service. Across the vendor guides, the setup pattern is similar: define the specific call types the agent should handle, connect it to your existing knowledge base or support system so it has accurate answers, write escalation rules for when it should transfer to a human, and test with real call transcripts before going live. A Reddit discussion among practitioners on r/AI_Agents notes that voice quality (tools like ElevenLabs) and reasoning quality (models like Gemini) are now both strong, but getting reliable end-to-end behavior in production still takes real testing, not just a demo (reddit.com). Treat the first few weeks after launch as a tuning period - listen to real call recordings and adjust prompts, routing, and fallback behavior based on what actually happens on the phone. How much does an AI voice calling agent cost? None of the sources in this research provide a single standard price, because cost depends heavily on vendor, call volume, and integration depth. What's consistent across the guides is that pricing is usually usage-based (per minute or per call) rather than a flat fee, and that costs scale with call volume and the complexity of integrations required. If cost matters most to your decision, ask each vendor directly for a quote based on your expected call volume and required integrations rather than relying on published list prices, since these guides do not publish comparable numbers. What to check before choosing a vendor. The comparison guides suggest a few consistent evaluation points: how the agent handles interruptions and mid-sentence changes of mind, how accurately it retrieves information from your existing systems, how clearly it knows when to escalate to a human, and how it performs on your actual call scripts rather than a generic demo script. Testing with real, messy calls - not scripted happy-path examples - is the theme that recurs across the Retell AI, Kore.ai, and Assembled reviews (retellai.com, kore.ai, assembled.com). Related resources.