Turn every call into structured, actionable data. Define your questions — Dial800's AI reads every transcript and delivers the answers automatically.
AI Tagging is automated call quality assurance and structured data extraction, powered by artificial intelligence. Unlike traditional keyword tagging — which simply scans for exact word matches — AI Tagging uses advanced AI reasoning to understand the full context of a conversation and answer specific questions you define.
Here is how it works: you create a list of custom questions, each with an expected answer format (Yes/No, a dollar amount, a date, a name, a number, or free text). After every call, Dial800's AI reads the complete transcript and answers each of your questions based on what was actually discussed. The result is a structured dataset for every single call — no manual review required.
Think of AI Tagging as having a highly trained analyst listen to every call and fill out a custom scorecard. Except this analyst never takes a break, never misses a detail, and processes results in seconds instead of hours.
Answers generated automatically from call transcript
From question definition to structured data delivery, the entire process is automated. No manual review. No listening to recordings. No guesswork.
Create a custom list of questions in your Dial800 dashboard. For each question, specify the expected answer type: Yes/No, numeric value, dollar amount, date, name, free text, or multiple choice. Add as many questions as you need — there is no limit. Questions can be organized into groups for different teams, campaigns, or compliance requirements.
Every inbound call is automatically recorded and transcribed using Dial800's AI-powered speech-to-text engine. Transcriptions capture both sides of the conversation with speaker identification, timestamps, and high accuracy across accents, industry terminology, and background noise.
Once the transcript is ready, Dial800's AI reads the entire conversation and answers each of your predefined questions. The AI does not just search for keywords — it understands context, infers meaning, and draws conclusions from the full conversation. If a caller says "we are looking at something in the fifty thousand range," the AI knows the budget is $50,000.
Answers appear in your CallView360 dashboard within seconds of call completion. Every answer is tied to the call record, making it easy to filter, sort, and report on any question across all calls. Export data to CSV, push it to your CRM via integrations, or use the API to build custom workflows around your AI Tagging data.
AI Tagging is fundamentally different from keyword spotting. Here is a side-by-side comparison so you can see why AI Tagging delivers insights that keyword tagging simply cannot.
| Feature | AI Tagging | Keyword Tagging |
|---|---|---|
| Approach | AI reasons about full call context to answer custom questions | Searches for exact word or phrase matches in the transcript |
| Intelligence | Understands meaning, context, synonyms, and intent | Literal string matching only — no understanding of context |
| Output | Structured answers: Yes/No, numbers, dollar amounts, dates, names, free text | Boolean only: keyword found or not found |
| Custom Questions | Unlimited custom questions per call, each with its own answer type | N/A — keyword lists only |
| Handling Variation | "fifty grand," "$50K," "around fifty thousand" all understood as the same budget | Would require separate keywords for every variation |
| Best For | QA compliance, lead scoring, data extraction, sales coaching | Simple topic detection — was a word mentioned or not |
From compliance monitoring to competitive intelligence, AI Tagging gives teams across your organization the structured call data they need.
Define questions that map to your regulatory requirements. "Did the agent read the required disclosure?" "Was the privacy notice mentioned?" "Did the agent confirm the caller's identity?" AI Tagging answers these for every call, giving compliance teams full visibility without manual call monitoring.
Build a qualification scorecard with questions like "Does the caller have budget authority?" "Is the timeline within 90 days?" "How many employees does the caller's company have?" Use the structured answers to score leads automatically and route high-value prospects to your best reps.
"Did the rep ask about the customer's pain points?" "Was the product demo offered?" "Did the agent follow the approved sales script?" AI Tagging turns every call into a coaching opportunity by tracking adherence to your sales methodology across every conversation.
Pull specific data points from every call: budget amounts, timelines, project sizes, locations, number of employees, decision-maker names. Instead of having agents manually enter data after each call, let AI Tagging extract it automatically and push it to your CRM.
"Was the caller satisfied at the end of the call?" "Did the customer express frustration?" "Was the issue resolved?" Track customer sentiment and resolution rates across every call without relying on post-call surveys that only a fraction of callers complete.
"Did the caller mention a competitor?" "Which competitor was mentioned?" "Is the caller currently using a competing product?" Aggregate competitive mentions across all calls to understand your market positioning and arm your sales team with better responses.
Any business that handles inbound calls can transform its operations with AI Tagging. These industries see the most immediate impact.
Track lead quality for every client campaign. Answer questions like "Was this a qualified lead?" and "What service did the caller request?" to deliver granular performance data to clients beyond simple call counts.
Qualify intake calls automatically. "Does the caller have a case within our practice areas?" "What is the statute of limitations status?" "Was a retainer discussed?" AI Tagging streamlines legal intake at scale.
Monitor compliance disclosures, extract account details, and verify that advisors follow required scripts. AI Tagging delivers the audit trail that regulators demand.
Ensure consistent service quality across locations. "Did the franchisee mention current promotions?" "Was the appointment scheduled?" Compare AI Tagging scores across locations to identify training needs.
Track appointment scheduling rates, verify HIPAA-compliant call handling, and extract patient needs from intake calls. AI Tagging helps healthcare organizations improve access while maintaining compliance.
Qualify leads by service type, urgency, and location. "What type of service does the caller need?" "Is this an emergency?" "What is the property address?" Route and prioritize calls based on structured data.
See how AI Tagging turns your call recordings into actionable, structured datasets. Start your free trial today or talk to our team about building your custom question set.