Streamline client interactions and collect actionable insights effortlessly with DataCall's cutting-edge AI technology.
Product Features
Inbound/Outbound Calls
Handle customer calls, whether they are initiated by the system or received from users
Example: Automatically dial insurance and resolve the case (i.e. benefit verification, etc.) or answer incoming queries and answer with preconfigured data after verification if necessary.
Human Escalation
Support for both incoming and outgoing calls.
Example: Automatically dial customers for appointment reminders or answer incoming support queries.
IVR Navigation
Support for both incoming and outgoing calls.
Example: Automatically dial customers for appointment reminders or answer incoming support queries.
Call Prioritization
Support for both incoming and outgoing calls.
Example: Automatically dial customers for appointment reminders or answer incoming support queries.
DTMF Input Support
Use touch tones for quick data entry.
Example: Automatically dial customers for appointment reminders or answer incoming support queries.
Multi-Party Calls
Manages interactions involving more than two callers.
Example: Tracks who said what in a three-person conference.
Dynamic Call Pacing
Speeds up or slows down based on the user's speaking style.
Example: Pauses longer for slower-speaking users to avoid interruptions.
Context Detection
Adapts behavior based on the current interaction type.
Example: Polite, conversational tone with humans; concise commands for IVR.
Interruptions Management
Modifies flow control rules based on interaction type.
Example: Pausing responses for interruptions during IVR but continuing politely during human interactions.
Dynamic Conversation Style
Switches between concise or elaborate responses depending on the situation.
Example: "Your balance is $100" for IVR, but "I see your balance is $100. How can I help further?" for human callers.
Dynamic Script Adaptation
Changes predefined dialogue dynamically to match the caller's needs.
Example: Skipping irrelevant steps when a caller states, "I already tried rebooting my modem.”
Voice Overlap Handling
Ensures clear communication by prioritizing or segmenting overlapping speech.
Example: When the agent and the user speak simultaneously, the system can capture and respond to both inputs.
Phonetic Comparisons
Accurately recognizes and differentiates phonetically similar names.
Example: The system confirms, "Did you mean Bryan with a Y or Brian with an I?"
Voice Interruptions Handling
Detects and processes interruptions without losing context or flow.
Example: If the caller interjects while an agent is speaking, the response adapts in real-time.
Slow Replies and Phonetics
Improves comprehension by slowing speech or spelling out complex data.
Example: "Your confirmation code is A as in Alpha, B as in Bravo..."
Non-Conversational Input Handling
Differentiates user input from background noise or distractions.
Example: If the system hears dogs barking, it politely asks, "Could you repeat that?"
Rephrased Questions/Replies
Automatically modifies phrasing for better clarity when initial communication fails
Example: "Can I confirm your account number?" becomes "Could you repeat your account number for verification?"
Number Comparisons
Handles minor discrepancies in numerical data through approximate matching.
Example: "12345" is matched with "1235" to identify missing or extra digits.
Conflicting Instructions Handling
Manages situations where the user provides conflicting data.
Example: "You mentioned two different account numbers. Can we confirm which one is correct?"
Model Slowdown Resolution
Ensures smooth interactions even when AI models experience response delays.
Example: Transitioning to a simpler response model during high traffic.
Network Slowdown Resolution
Maintains call quality and responsiveness during unstable network conditions.
Example: Automatically adjusts latency compensation during a poor internet connection.
Persistent Connectivity
Ensures continuity of service even with unstable connections.
Example: Keeps the call active by buffering responses during latency spikes.
Interactive Data Collection
Extracts precise data like dates and addresses from natural language.
Example: "I live at 123 Elm Street, Apartment 4B" is captured as structured address data.
Post-Call Feedback
Engages users in providing valuable input post-interaction.
Example: "Rate your experience on a scale of 1 to 5."
Supplemental Info Extraction
Identifies extra information shared by callers beyond requested data.
Example: Caller says, "I need help with my account; it's 12345." The system extracts both the account number and the query.
Learning from Failures
Analyzes call outcomes to refine future interactions.
Example: Identifies patterns in misunderstood inputs to improve recognition accuracy.
Call Summarization
Generates concise summaries of essential discussions and agreements.
Example: "Summary: Customer requested a refund and provided transaction ID 12345."
Experience Sharing Between Calls
Tracks previous interactions and applies learnings to similar scenarios in other calls.
Example: The system adapts based on past solutions if a similar issue arises across different calls.
Feedback on Conversation Quality
Prompts customers to share what they liked or disliked about the interaction, helping to improve future performance.
Example: "If there is anything you didn't like about the conversation, please let us know. If everything is good, please give us general feedback."
Emotion Detection
Adjusts responses to sound empathetic or reassuring based on mood.
Example: Calms an angry caller, saying, "I understand your frustration. Let’s resolve this."
Adaptation to Gender/Age
Personalizes interactions based on detected gender or age.
Example: Uses a respectful tone for elderly callers.
Customizable Tone
Adjusts the system’s tone to match the business's branding.
Example: Friendly tone: "Hey there! How can I help?" Formal tone: "Good afternoon, how may I assist you?"
Cultural Sensitivity
Adapts responses to cultural expectations.
Example: Avoids slang or informal speech in professional settings.
User Memory
Uses past interactions to provide a personalized experience.
Example: "Welcome back! Last time, you inquired about your order status. How can I assist today?"
AI Detection Rate
Quantifies how well the system mimics human interaction to improve naturalness.
Example: Feedback reports identify scenarios where users realize they are speaking with AI.
Sarcasm Handling
Identifies and appropriately responds to sarcastic comments.
Example: Detects sarcasm in "Oh, great service!" and clarifies.
Topic Revisit
Detects when the conversation veers off-course and reintroduces the main topic.
Example: If a caller talks about the weather during a billing query, the system redirects: "Returning to your billing question..."
Fraud Detection
Prevents scams by detecting suspicious behaviors or patterns.
Example: Flags repeated requests for sensitive information as suspicious.
Hybrid Model Handling
It uses fallback or alternative models to correct AI errors.
Example: Rechecks ambiguous responses using a secondary model.
Human-in-the-Loop Machine Learning
Ensures machine learning models are refined and adjusted in real-time through human feedback, improving decision-making and system performance.
Example: A human agent reviews and corrects AI-generated summaries or decisions to improve future performance.
Dynamic Escalation
Identifies when the situation demands a higher level of service.
Example: Automatically routes calls flagged as urgent to senior support.
Language Switching
Switches languages mid-call without losing context.
Example: Answers in Spanish after a user switches from English to Spanish.
Accent Recognition
Improves understanding of non-native or regional speakers.
Example: Recognizes a Southern U.S. accent without misinterpretation.
Real-Time Translation
Enables seamless cross-language communication during calls.
Example: Translates French input into English in real-time.
Speech-to-Text Accuracy.
Delivers reliable text output even in challenging conditions.
Example: Accurately transcribes spoken addresses at a noisy event.
Call Recording Compliance
Automatically manages recording permissions and notifications.
Example: Warns, "This call may be recorded" as required by local laws.
Voice Biometrics
Ensures identity verification through unique vocal features.
Example: Confirms identity by analyzing the user's voiceprint.
Turn-Taking
Ensures clear communication during interruptions or overlaps.
Example: Pauses while the caller interrupts and resumes after they finish.
Interactive Help
Provides clear, sequential instructions for intricate processes.
Example: Guides the user through step-by-step instructions on resetting their password.
Handling Silences
Identifies whether silence is intentional or due to technical issues.
Example: Responds with, "Are you still there?" during extended silence.
Handling Non-Verbal Cues
Responds to "um" or "uh" with clarification prompts.
Example: "I noticed you hesitated - do you have any questions?"
Save your team 1,000s of hours.
Automate routine calls to payors and PBMs with AI.
Simplify Healthcare Processes with Ease
Accelerate benefit verifications and prior authorizations, empowering your team to help more people efficiently.
Seamless AI Integration for Smarter Healthcare
Enhance administrative efficiency and accelerate patient access to therapy with ease.
Stay Synced, Stay Efficient
Keep patient data updated and seamlessly integrated with your system.