Opine: The Agentic Revenue Platform Features

Compiles data from a breadth of either internal or external sources.

Enables user to communicate data by securely exporting and sharing it.

Allows users to view data visualizations on several devices.

Dashboards which are customizable and interactive so that the user can view sales information in a way that fits his or her needs.

Enables user to segment customer or prospect data in meaningful ways such as by industry or region.

Provides scores or rankings of each prospect based on the data provided.

Provides insights to determine which deals already in the pipeline have the best chance of closing.

Warns sales teams of accounts that may be at risk of being lost.

Provides live customer data so that sales organizations forecasts stay current.

Create budgets based on historical data and future projections

Evaluating strengths and weaknesses of companies with the same target audience

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

Apply statistical/mathematical models to sets of data

Updates every time a change is made enabling users to trace a deal through the pipeline.

Enables competition between a sales team by providing things like challenges and scoreboards.

Provides insightful data at the account level to arm salespeople with the most relevant information possible.

Enables sales managers to stay on top of their team activities by providing visibility into customer communication.

Predict future data based on historical data sets

Interact with data visualization elements, such as charts and graphs, to drill down into data

Create, manage and track all task activities and progression

Manage, organize, and store contact information

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Track all opportunities for potential sales and convert them into recurring revenue

Create, design and manage workflows for repetitive tasks

Offers a chatbot to initiate and carryout inital conversations with prospects and leads.

Automatically calculates which leads are the most likely to become a customer.

Automatically contacts all leads.

Utilizes natural language processing to set up meetings.

Manages sales opportunities through their full lifecycle from lead to order, tracking stages, values, and close probabilities across pipelines by individual rep, team, region, and company-wide

Automates the entry of collected data.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Set up connections to third-party platforms to improve business processes

Manage the process of planning and scheduling meetings, including agenda creation

Track and manage schedules and meetings via an integrated calendar

Store, manage, and track all electronic documents in a centralized location

Manage, organize, and store contact information

Create, manage and track all task activities and progression

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Allow users to create, edit, and sort multiple notes

Define, track, and/or automate sales activities and sales processes

Manage, store and organize emails within the system or via third-party apps

Provides real-time coaching to sales representatives.

Tracks and analyzes sales representative performance.

Track delivered, received, and opened emails

Process to identify source of incoming calls, date, time, duration or caller type using a unique phone number

Measure return on investment and leverage data to predict profitability of future projects.

Enables projection of sales revenue, based on historical sales data, analysis of market surveys and trends, and salespersons' estimates.

Allows users to track how previous revenue forecasts have developed over time

Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities

Reports results on revenue attainment, conversion rate, and overall revenue analytics

Allows users to view data visualizations on several devices

Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success

Automatically associates calendar invites to update deal progress in a CRM

Automatically associates sales activities within emails to the relevant accounts in your CRM

Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM

Automatically links marketing leads to sales generated opportunities in your CRM

Automatically captures contacts engaged with and associates to relevant accounts in a CRM

Identifies accounts that sales reps aren't engaging with

Maximizes account coverage by determining the optimal number of accounts per rep

Identifies common themes among historical deals that are won or lost

Identifies common themes and actions amongst reps that close the most deals

Allows users to track the level of engagement with each account and provides insights on frequency of engagement

Identifies common themes among historical deals that are won or lost to provide insights into successful strategies

Provides insight into sales forecast based on success criteria

Report on KPIs such as win-rate, utilization, efficiencies

Create playbooks and best practices templates for presales processes and success criteria

Track activities throughout presales processes

Rule-based assignment of solution engineers based on specified criteria

Ability to capture activities of presales professionals

Ability to notify of product enhancements or misaligned success criteria

Streamlines product gaps and desired enhancements obtained during presales processes

Ability to integrate with product management tools to streamline feedback

Ability to integrate with CRM

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Seamlessly integrates with 3rd party websites

Capability to perform complex tasks without constant human input

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

Set up connections to third-party platforms to improve business processes

Integration with third-party CRM systems

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

Software program that continuously adjusts its behavior based on observed data

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Connects to multiple software systems or databases to gather relevant context data for AI agents

Makes informed choices based on available data and objectives

Improves performance based on feedback and experience

Turns unstructured conversation data into clear, actionable insights for coaching, deal analysis, and operational improvement

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Augments, improves or enriches CRM data

Gathers actionable insights from customer interactions for strategic decison making

Flags deals at risk, declined engagement, stalled opportunities, or other warnings in order to prevent issues from escalating

Coordinates and aligns on actions across sales, marketing, customer success, and RevOps in a unified platform

Surface insights from key deals, account signals, conversations, and win/loss patterns for offering data-driven coaching or feedback

Allows users to track pipeline to identify deals that are stalled, at risk, and future opportunities

Collects and organizes customer interaction data from multiple channels or systems

Train your system to interpret and transcribe voice messages

Initiate interactions with customers by proactively starting conversations or providing informational content

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Communicate using direct chat or messages within the system

Generates and edits text using machine learning

Caters to sales teams

Automate processes to manage leads, contacts, opportunities and sales activities

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Predict future data based on historical data sets

Score a lead based on quality or likelihood to buy/convert based on predetermined criteria

Sample files or documents that could be customized as needed or used as is

Timed notification for any upcoming task, deadline, appointment, or activity

Pre-made examples and templates for emails

Send messages via SMS

Adjust communications based on previous interactions or personal preferences

View and track pertinent metrics to find patterns and gain insights from data

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Communicate with potential customers by distributing promotional/informational materials via social media, email or other channels

A collection of customer information such as contact details, demographics, previous interactions, etc.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Using different methods or channels to connect with customers

Streamlining repetitive tasks and activities through automated and predefined workflows

Ability to learn and adapt from interactions with environment and data, and to model varying behavior over time.

Score a lead on their quality or likelihood to buy based on certain behaviors

Automatically identify and save contact information of potential customers

Active reporting of data and metrics

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Application programming interface that allows for integration with other systems/databases

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Provides a channel for team members to share media files, communicate, and work together

Creation and customization of dashboards

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

Use AI to generate content in the form of text, images, videos, etc.

Reports specific to sales analysis for trends and strategies

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Method used in decision-making that allows businesses to input variables to forecast potential outcomes or possibilities

Alter the layout and content of reports

Import and export data to and from software applications

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Visual representation of data using various graphical elements such as charts, graphs, maps & other visual aids

Assemble applications and processes by dragging over and arranging pre-built components

Define levels of authorization for access to specific files or systems

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Define and maintain business rules that determine workflow capabilities and criteria

Manage and handle various international currencies

Visual representation of sales prospects & how many deals are in your sales funnel, the stage each deal is in, and the value of deals.

Uses AI reasoning to select, sequence, or modify actions based on changing context and intermediate results.

Executes coordinated actions across email, social, phone, CRM, sales engagement, advertising, and internal collaboration systems.

Initiates or advances workflows when account, buyer, opportunity, or market signals meet configurable criteria.

Defines agent objectives, instructions, decision logic, actions, and completion conditions for GTM workflows.

Coordinates workflows across multiple GTM jobs such as research, qualification, engagement, routing, and pipeline management.

Controls agent behavior using approvals, permissions, audience restrictions, volume limits, and action-level policies.

Records agent decisions and actions while identifying failed, uncertain, or out-of-policy executions for review or escalation.

Connects agent executions to qualification, meetings, opportunities, pipeline progression, expansion, or revenue outcomes.

Reads from and writes to CRM, marketing automation, sales engagement, data warehouses, and other revenue systems.

Exposes platform context, workflows, and actions through APIs, webhooks, MCP, or other supported interoperability methods.

Combines licensed data, web research, first-party behavior, conversation history, and system-of-record data into usable GTM context.

Detects relevant behavioral, relationship, market, product, or firmographic changes and prioritizes entities for action.

Investigates accounts, buyers, opportunities, or segments using operator-defined questions, criteria, and data sources.

Updates stored GTM intelligence using findings and outcomes from completed workflows.

Maintains reusable intelligence about accounts, contacts, buying groups, opportunities, or segments across multiple agent runs.