MaxContact Features

Uses LLMs to generate dynamic responses within defined boundaries and business-safe content rules.

Maintains context across user turns in a single session to provide coherent, relevant responses.

Understands varied user phrasing and infers intent without relying solely on keywords or scripts.

Supports building conversational flows using predefined paths, rules, and decision trees.

Provides fallback messages or guidance when the bot cannot understand or fulfill a query.

Presents information about the individual being called before the call begins.

Gives agents a predetermined amount of time to view call information before automatically calling. Similar to Preview Dialing.

Uses machine learning to determine the best times to call and adjust dialing speed to connect agents with leads efficiently.

Allows a supervisor to listen to a call and train in real time.

Reschedules calls within the software itself, either through a prompt or by the agent themselves.

Records calls to access or evaluate at a later time to ensure quality standards are met, and pause recording of live calls if necessary.

Decides response type by determining if voice is a human response or an answering machine.

Uses touch-tone or voice input to interact with callers, gather information, and route them to the appropriate agent or department.

Removes phone numbers from an uploaded list that appear on the National Do Not Call Registry.

Allows users to automate responses to customer inquiries across various channels.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows users to automate the handling, processing, and management of documents.

Records sales calls and facilitates playback

Utilizes machine learning technology to analyze recorded sales calls

Analyzes or facilitates the analysis of recorded and stored sales calls for insight

Leverages analytics to qualify and score calls in real time

Leverages technology to rate or "read" recordings to determine the impact of sales calls

Transcribes sales calls from speech to text

Utilizes artifical intelligence to analyze emotional tone and interactions in a conversation

Provides voice call functionality.

Provides an interface for one or more social media channels.

Includes or integrates with live chat initiaited from the company's web site.

Accepts contacts initiated through SMS or other mobile text functions.

Allows CSRs to receive and answer customer emails.

Route calls to the most appropriate agent according to a series of factors, including the time of day, customer priority, IVR outcomes, and skill-based routing (SBR). Voicemails can be routed to agents during quiet call periods.

Callers can be routed to a queue or placed on hold until an agent becomes available.

Place a large or unlimited volume of calls simultaneously without diminishing the call quality.

Provides some level of analytics based on keywords and vocal tones.

Has auto dialing or predictive dialing functions for outbound use.

Includes an interactive phone menu.

Populates CSR's screen with available customer data.

Maintains and shares information across channels and agents as the case progresses.

Provide agents with notes or context information about a call. These notes can include information such as caller disposition or contact history.

Manage call records and agent tasks through administrative features. Provide agents with guidance during live calls, and interrupt calls with call barging to ensure customer satisfaction, if necessary.

Report on historical or real-time call center performance metrics, and access data through highly visual dashboards.

Keeps records of agent-customer sessions for purposes of coaching, quality assurance, or regulatory purposes.

Provides workforce management functions such as scheduling and vacations, team assignments, and areas of expertise.

Allows supervisors/managers to record and review telephone conversations of agents.

Report on historical or real-time call center performance metrics, and access data through highly visual dashboards.

Provides API access to connect with proprietary business systems or internal data sources.

Offers embeddable widgets or SDKs for integration into websites, apps, or third-party tools.

Allows non-developers to configure and design chatbot flows via visual or no-code interfaces.

Offers complete visibility into agent availability to efficiently create and manage schedules.

Organize, sort, and view employees based on skills and qualifications in order to make smarter workforce decisions.

Plan employee work shifts according to availability and provide notifications to employees when they are scheduled.

Allows agents to set their own preferences, request time off, and trade shifts.

Allows users to access the software using mobile devices.

Allow managers/supervisors to monitor calls for quality assurance purposes.

Allows managers/supervisors to evaluate the performance of agents.

Automates some or all operation related tasks

Monitors call volume and quality to evaluate agent performance.

Has a centralized dashboard for users to interact with.

Forecasts scheduling needs based on historical data.

Tracks agent workloads throughout the day and helps supervisors allocate resources as needed.

Allows inflow of requests through various digital channels such as email, social media, etc.

Allows users to access the software using mobile devices.

Provides queue management in case of increase in case/call inflow.

Allows distribution of incoming calls to agents.

Allows users to request a call back.

Offers IVR (interactive voice response) for interaction between customers and a computer operated phone system.

Allows automatic distribution of incoming calls to the agents.

Ensures consistent performance, delivering reliable outputs based on user prompts.

Implements stringent measures to protect user data and ensure privacy.

Shows adeptness in comprehending and responding to complex or multi-part queries.

Facilitates natural and human-like conversations, delivering engaging interaction experiences.

Demonstrates a sophisticated understanding of both written and spoken user commands.

Exhibits proficiency in maintaining and utilizing context throughout a conversation.

Offers a high degree of customization to meet individual user or business requirements.

Features robust learning mechanisms, improving responses over time based on past user interactions.

Showcases the ability to recognize, correct, and learn from its own mistakes.

Displays creativity in generating diverse, interesting, and contextually relevant responses.

Produces content that is accurate, factually correct, and relevant to the user's query.

Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions.

Regularly receives updates that contribute to continuous improvement of the product.

Assesses the chatbot's ability to function seamlessly across various platforms and devices.

Seamlessly integrates with other platforms or software systems, enhancing overall utility.

Condenses long documents or text into a brief summary.

Simulates human-like speech from text inputs.

Simulates human-like speech from text inputs.

Condenses long documents or text into a brief summary.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Allows the AI agent to autonomously resolve customer queries without human intervention.

Enables the AI agent to provide accurate answers based on the context of customer inquiries.

Allows the AI agent to analyze customer sentiment and adjust responses accordingly.

Enables the AI agent to retrieve information from a knowledge base to assist with query resolution.

Provides users the ability to interact with the AI agent in multiple languages for global support.

Enables the AI agent to initiate interactions, such as reminders or follow-ups, with customers.

Provides users the ability to automate gathering and analyzing customer feedback after interactions.

Allows the AI agent to identify when issues require human intervention and escalate them appropriately.

Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Uses AI to prioritize and reorder call lists based on lead quality, past interactions and optimal call times.

Uses AI to ensure call compliance with regulations like TCPA or GDPR by detecting violations and triggering alerts or restrictions.

Uses AI to analyze call recordings for sentiment, tone and language to assess interaction quality and flag calls needing follow up or review.

Enables tuning or updating chatbot behavior based on user feedback or admin input (non-live learning).

Includes safeguards to restrict inappropriate responses and ensure compliant language use.