Voice AI that actually resolves customer calls – end to end

The elevator pitch

• Most voice agents handle the easy calls and escalate the rest – because the answers live in systems they can’t reach. Computer, by DevRev, resolves those calls end to end by drawing answers from your company’s shared memory: products, customers, tickets, code, and everything else.
• During a live call, Computer reads error logs, pulls order states, and acts across connected systems – taking a single conversation from diagnosis to resolution without a handoff.
• The architecture is benchmarked and open to anyone: 94.3% task accuracy vs. 63.6% for the same frontier model working alone, with 4.4× fewer tokens used, plus a cost curve that stays flat even as the data scales.
• Computer’s Voice AI is production-ready today. It plugs into your existing telephony (Amazon Connect, Twilio, SIP), hands off to humans with full context, and reviews its own calls weekly to propose improvements that you can approve.

A customer calls about a failed checkout again. And again.

It’s 2 PM on a Tuesday. The customer is frustrated. They’ve already tried twice. The voice agent picks up, searches its limited memory, finds nothing useful, and does what it always does – puts them through to a person. Who then asks the same questions the customer has already answered. And still can’t solve the problem.

Because the answer was never in the chat history. It was buried in a log, and a Jira ticket from last week, and a Slack DM between two engineers three months ago.

This is the call most voice AI just cannot handle. Password resets? Fine. Order tracking? No problem. But anything that touches more than one system – anything real – gets escalated. The hard tickets keep piling up.

The difference isn’t the voice. It’s what the agent can access, and understand, while the customer is still on the line.

What voice AI actually needs to resolve a call

The same failures with voice AI keep cropping up. Because the same problems have not been addressed. For it to work, voice AI needs:

1. Access to everything the company knows – not just docs and past chats, but live system data: logs, order state, session histories, internal conversations. Everything.
2. The ability to act – reading context isn’t enough. The agent needs to issue a refund, update a record, or trigger a workflow mid-call.
3. Precision under pressure – on a live call, every wrong turn is time the customer spends wondering if anyone’s really listening to them.
4. Flat economics at scale – a voice agent that needs to reconstruct business context from scratch each time won’t survive past the pilot.
5. Safety, and accountability – if the agent can act, every action needs to be logged, permissioned, and reversible.

Computer’s voice AI responds, understands, resolves

Computer – the same AI already resolving customer issues over chat and email – now handles live calls, end to end. It answers from the shared memory of your entire business: products, customers, tickets, code, everything.

Back to that failing checkout moment. Computer doesn’t stop at the FAQ. It reads recent error logs to see what broke. Pulls the customer’s order to check its state. Observes the customer’s entire session to trace their journey. Then works the fix across all the systems your teams already run – diagnosis to fix. All in a single conversation, no handoff.

That’s real resolution. On a phone call. For the kind of issue other voice agents never touch.

Voice for customers, and teammates – on one platform

Computer’s voice capability works both ways. Customers call in and reach an agent that resolves issues end to end, acts across connected systems, and hands cleanly to a human when it genuinely needs to.

Inside the company, employees can also talk to Computer directly – pulling context, updating records, or kicking off work against the same shared memory.

The closest thing other voice AI products offer is prompting replies for a human agent to read out. That’s assistance for a person doing the work. With Computer, the work gets done by talking to it.

No other voice AI offers voice as a way in for both the customer-facing and the employee-facing agent, on a single platform.

Precision: proven

“Unifying scattered enterprise context in a shared memory” is what makes this possible on a call. It’s also a claim – and claims about AI are cheap right now.

This year, DevRev put the architecture underneath Computer through a public, vendor-neutral benchmark. Thirteen enterprise tasks on a realistic company’s data. Computer on one side; the same frontier model with direct access to the same systems on the other. Same model, same tasks, same judge. The only variable: the underlying architecture.

Computer answered 94.3% of tasks correctly.

The model working alone: 63.6%.

The gap held even when the dataset grew 64× larger and the relevant records shrank to a few percent of the total. On a live call, that kind of accuracy is the difference between resolving in a single turn, and fumbling through five.

Efficiency: proven

Most voice systems rebuild context from scratch on every call – re-reasoning over the same data each time a customer speaks. Computer reads from context that’s already assembled, current, and precisely curated. Fewer turns for the caller. Lower cost for your finance team.

In the benchmark: 4.4× less compute per correct answer. When the dataset grew 64×, Computer’s cost per answer rose 11%. The model working alone rose 55%.

The economics hold as your data grows. The cost curve stays flat. That’s what keeps a voice agent viable long after the pilot ends.

Safety: always

Safety is the thing that matters most when an agent can act – not just talk.

Computer’s voice agent respects the same access limits as the person it acts on behalf of. Permissions are inherited from your source systems at field level. Every conversation is logged. Every action is recorded. Every decision can be reviewed after the fact. If something goes wrong, it can be undone in a single step.

The benchmark dataset and harness are published openly – any vendor can run them. The numbers are there for anyone who wants to check.

Built for production. Ready to roll out.

Computer’s voice capability is production-ready from day one, because it runs on the platform already resolving support at scale for live customers.

• Natural, multilingual voice: Dynamic real-time models deliver natural-sounding speech at low latency, across languages. Real interruption handling means callers can cut in the way they would with a person – without waiting for the agent to finish a scripted sentence.
• Plugs into your existing telephony: SIP-based, connecting through the providers you already run – Amazon Connect, Twilio, and the other major platforms. Bring your own numbers without ripping anything out.
• Full visibility into every call: Recording, transcription, and post-call analytics out of the box. Agent versioning and rollback so you can ship improvements confidently and step back if something doesn’t land.
• Human handover with full context: When a call goes somewhere the agent can’t resolve, it hands off to a person with the entire conversation, the diagnosis so far, and the actions already taken. The human picks up where Computer left off – not from scratch.
• Already winning in the open: DevRev is being chosen over established voice players in live, head-to-head evaluations – including deals where customers are moving off incumbents. Voice quality is at parity with dedicated platforms. The difference is what the agent knows.

While you slept, Computer’s voice AI fixed itself

Most voice AI is frozen the day it ships. Nobody tends it but you.

Computer keeps working long after go-live. Every week, it watches the calls the voice agent handled – the clean resolutions and the stumbles. By the weekend, it’s back with a list of suggested improvements: the question callers kept asking that never quite got a real answer (now it does). The phrasing that confused someone mid-call (now tightened). Small fixes, each one earned from something a real caller experienced.

You approve what makes sense. Wave off what doesn’t. Edit anything you want.

That’s the quiet part that compounds. The voice agent your customers hear six months from now is far better than the one you launched.

Talk to us. We’re ready to resolve.

Voice AI is available now on the DevRev platform. If Computer is already running your chat and email support, adding voice takes a few hours of setup, max.

If you’re evaluating voice AI, and want to see what resolution looks like when the agent can reach everything your company knows – get in touch, explore Computer, or book a demo.

Your customers are calling. And Computer is ready to answer.