Transform Communication with AI-Driven Calls

Streamline client interactions and collect actionable insights effortlessly with DataCall's cutting-edge AI technology.

Enhace your business operations
Traditional Employee Workflow
  • Time-Consuming Processes
    Spend hours dialing patients, pharmacies, and insurance companies to resolve issues.
  • Risk of Human Error
    Critical information, such as prescription details or insurance approvals, is prone to mistakes.
  • Missed Follow-Ups
    Overwhelming workloads lead to forgotten tasks and follow-ups.
  • Manual Data Entry
    Employees document call summaries and data across multiple systems manually.
  • Risk of Incomplete Data
    High potential for transcription errors or missing information.
with DataCall
AI-Driven Workflow
  • Simplified Process
    Click on "Verify Benefits" and forget.
  • Improved Efficiency
    Reduced hold times and no need for callbacks streamline operations.
  • Automated Follow-Ups
    Ensure no task is overlooked with built-in automation.
  • Seamless Integration
    Integrates directly with CRM and EHR systems, eliminating manual data entry.
  • Actionable Insights
    Real-time documentation provides instant access to valuable information.

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.

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