IncentIQ is an AI-first Sales Incentive Management platform that helps enterprises automate, manage, and optimize sales compensation with speed, transparency, and intelligence. IncentIQ replaces spreadsheet-driven and legacy incentive processes with a modern platform that streamlines commission calculations, quota management, approvals, disputes, payouts, and performance visibility through enterprise-grade workflows and automation.
Unlike traditional compensation platforms that are expensive to implement and difficult to adapt, IncentIQ is designed for agility. With AI-powered co-pilot, sales team can get real time updates on their incentives driving performance and alignment to business goals. Enterprise platforms integration ability enables seamless governance, auditability, workflow orchestration, and enterprise scalability.
IncentIQ empowers organizations to reduce operational overhead, improve payout accuracy, accelerate compensation cycles, and deliver a more transparent and motivating experience for sales teams — transforming incentive compensation from a back-office process into a strategic sales performance engine.
The IncentIQ Application is designed to address the challenges organizations face when managing sales commissions and incentive payouts through manual processes such as spreadsheets, emails, and disconnected systems. These traditional methods often lead to calculation errors, delayed payouts, limited transparency, and increased administrative effort.
The solution provides a centralized platform to automate incentive plan management, payout calculations, statement generation, and approval workflows, improving accuracy, efficiency, and visibility.
The IncentIQ Application includes the following core features designed to deliver automation, scalability, governance, and an improved user experience:
· Flexible Transaction Data Model – The application is built with a highly flexible transactional data model that can seamlessly ingest data from any CRM or external sales system, regardless of the number or type of transactional fields, without requiring changes to the core application data model.
Outcome Supported: Faster integrations, reduced customization effort, and long-term scalability.
· Transactional Data Load (Import Set & Transform Maps) – Uses native Import Set and Transform Map capabilities to load high volumes of transactional sales data efficiently.
Outcome Supported: Faster data onboarding, reduced manual effort, and improved accuracy.
· Intuitive User Portal – Provides an easy-to-use portal for sales representatives, business group admins, managers, and administrators to access organizational details, fiscal calendars, reports, plans, quotas, statements, and payout details.
Outcome Supported: Improved user experience and easier navigation.
· Plan Design & Complex Rule Configuration – Enables administrators to configure incentive plans with complex commission structures, eligibility rules, and payout logic.
Outcome Supported: Flexible compensation management aligned with business requirements.
· Flexible Quota Distribution – Supports quota allocation on a monthly, quarterly, or yearly basis.
Outcome Supported: Better target planning and performance alignment.
· Flow-Driven Plan & Quota Governance – Uses workflow approvals for activation and deactivation of plans and quotas.
Outcome Supported: Strong governance, compliance, and process control.
· Statement Generation – On demand generates compensation statements for sales representatives.
Outcome Supported: Increased payout transparency.
· Reporting & Performance Tracking – Provides dashboards and reports to track sales performance, payouts, and incentive effectiveness.
Outcome Supported: Better decision-making and performance visibility.
· AI Copilot for Representatives – Helps sales representatives with quick assistance related to plans, quotas, statements, and payout breakdowns.
Outcome Supported: Improved employee support and reduced administrative dependency.
· AI Intent Configuration Module – Allows continuous AI learning and improvement through configurable intent management.
Outcome Supported: Enhanced AI accuracy and adaptability.
· Decision Table-Based Rule Lookup – Uses reusable Decision Tables for incentive rule lookups instead of multiple custom lookup tables.
Outcome Supported: Simplified maintenance and scalable rule management.
· Multi-Tenant Support (Domain Separation) – Supports multiple business units, customers, or regions through secure tenant-level data separation.
Outcome Supported: Scalability for enterprise and managed service environments.
Role-Based Data Filtering – Ensures users can only access data relevant to their roles and responsibilities.
Outcome Supported: Strong governance, security, and controlled data access.
Latest version of these plugins to be installed as pre-requisite
· Decision Table Builder
App id: sn_decision_table
· Decision Builder
App id: sn_decision_design
· Domain Seperation for multi-tenant data segregation requirements
App id: com.glide.domain.msp_extensions.installer
· Now Assist Skill Kit
App id: sn_skill_builder
· Now Assist Admin Console
App id: sn_nowassist_admin
· Now Assist for Platform
App id: sn_Gen AI_platform
· Now Assist Data Kit
App id: sn_data_kit
Other Requirements:There are couple of OOB roles (decision_table_admin, personalize_read_dictionary, approver_user, import_transformer, user_admin) extended into the custom roles x_ctans_incentnow.business_group_admin and x_ctans_incentnow.admin