Balto
Balto Software, Inc. · Marketing
Balto is a contact center AI platform that guides agents through live calls, scores every conversation automatically, and runs AI voice agents for routine requests.
About Balto
What Is Balto
Balto is contact center AI software for teams that spend their day on the phone. It listens to a call as it happens, then puts the next best answer, the compliance line someone forgot, or the objection handler they need in front of the agent. That same audio stream feeds automated quality scoring, live note taking, and an AI voice agent that takes repeat requests off the queue.
The problem it goes after is uneven performance. Two agents on one team can sound like they work at different companies, and most call center software still leaves QA automation doing a handful of calls per agent per month. Balto sells coverage instead of sampling. Every call gets guided, every call gets scored, and a supervisor sees patterns rather than a lucky draw of recordings.
Three limits matter before you talk to sales. Pricing isn't published, so any budget work needs a conversation. The platform is built for voice and contact center workflows, which means a small team handling a few dozen emails a day gets little from it. Guidance is only as good as the playbooks and knowledge sources you feed it, and someone has to keep those current.
Getting Started
- Book a demo and walk through your phone system, call volume, and the outcomes you track today. Balto's team scopes which modules you need.
- Connect the audio. Balto has prebuilt links for most cloud contact centers, plus audio ingestion for recorded calls if your system has limited APIs.
- Build the playbooks. Load your scripts, compliance requirements, and knowledge base articles, then set the triggers that decide when a card appears on screen.
- Set up QA scorecards and coaching templates with your supervisors, and decide which call types the voice agent should take first.
- Run a pilot on one team, review the scored calls together, then roll out. Balto says most customers are live within 30 days.
Product Information
A quick look at Balto's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Contact center agents
- QA and compliance managers
- BPOs and outsourced contact centers
- Sales teams in insurance, collections, and home services
Tasks
- Keeping agents on script during regulated calls
- Scoring 100% of calls instead of a sample
- Deflecting routine inbound calls
- Cutting after-call work
Scenarios
- Ramping new hires
- Peak season volume
- Audit preparation
Key features
Real-Time Agent Assist
Balto listens to the live conversation and pulls answers from your knowledge base when a customer asks something specific. Guidance appears as short cards on the agent's screen, so the agent reads while the customer is still talking. Triggers are configurable, which means the same call can show a compliance reminder to one team and a cross-sell prompt to another.
Automated QA Scoring on Every Call
Instead of a supervisor grading a sample, Balto scores every interaction against your scorecards and flags the ones that need a human look. Supervisors get AI search across transcripts, so questions like "how often did we miss the verification step last month" turn into a filtered list. The scoring only holds up if the scorecards match how the floor actually handles calls, so plan on tuning them in the first month.
Togo AI Voice Agents
Togo is Balto's voice agent, built from recordings of your strongest agents. It takes high-volume, repeatable calls such as scheduling, order status, and account verification, and Balto reports up to 70% containment on those flows. It runs on the same platform as agent assist, so a call that needs a person hands off with context instead of starting over.
Live Notes and Call Summaries
Balto writes the call down while it happens. Agents get a running summary they can drop into a ticket, and supervisors get a searchable record of what was said. For teams that lose ten minutes per call to note writing, this is often the change agents notice first.
Coaching Built on Top Performer Calls
AI coaching here runs on what your best agents actually say, not on a generic rubric. Supervisors can pull the moment a top performer handled an objection and turn it into a training clip. New hires practice against the same standard the scorecards measure.
Integrations and the Call Data API
Balto ships prebuilt connections for more than 60 platforms, covering cloud contact centers, dialers, CRMs, and knowledge sources such as Salesforce, HubSpot, SharePoint, and Google Drive. Teams on older phone systems can upload recorded calls through audio ingestion. The Call Data API pushes transcripts and metadata into your own warehouse, which matters if your analytics team doesn't want another dashboard.
Pros and cons
Pros
- Guidance, QA scoring, and notes run on one audio stream, so you're not buying three tools, including a separate QA automation add-on, and reconciling three data models.
- More than 60 prebuilt integrations cover most cloud contact centers, and Balto says most customers go live within 30 days.
- Automated scoring on every call gives supervisors trend data that sampled QA can't produce.
- The Togo voice agent shares a platform with agent assist, which keeps handoffs to humans short.
- The Call Data API and audio ingestion cover teams with older or partially closed phone systems.
Cons
- Pricing is quote-only, so comparing Balto against published per-seat plans takes extra legwork with sales.
- Voice is the center of gravity. Chat and email support exists, but the deepest tooling is aimed at phone conversations.
- Results depend on playbooks, scorecards, and knowledge sources staying current, which is ongoing work for a team that already has little slack.
- The feature set is broad enough that new supervisors need real onboarding before the dashboards mean anything.
Frequently asked questions
Balto listens to contact center calls in real time and guides agents with answers, scripts, and compliance prompts. After the call it scores the conversation, writes a summary, and feeds the data to supervisors. It also runs AI voice agents for routine requests.
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