AI Agent

Revenue Recognition AI Agent

Eliminate revenue restatements with ASC 606 automation

Manual rev rec errors cost $2M+ in restatements. Or: 100% ASC 606/IFRS 15 compliant automation. Your choice.

Benefits

Never Restate Revenue Again

Revenue recognition under ASC 606/IFRS 15 requires complex calculations across multiple performance obligations, variable consideration, and contract modifications. Manual errors cause restatements and audit findings. This agent ensures compliance.

Zero

Revenue restatements

100%

ASC 606 compliance

40 hrs

Monthly time saved

Agentic Flows

Complete Revenue Recognition Automation

Automated workflow: contract data extraction and parsing, performance obligation identification, transaction price allocation with SSP calculation, revenue schedule creation, modification tracking, financial reporting with disclosures.

How it works

AI-Powered Rev Rec Compliance

The agent analyzes contracts to identify performance obligations, allocates transaction price using SSP or residual approaches, creates revenue schedules with proper timing, handles modifications and variable consideration automatically.

Self-learning agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart model switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Self-learning agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart model switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Integrations

Works with Revenue Systems

Direct integration with Salesforce CPQ, Oracle Revenue Management, SAP RAR, Zuora RevPro, and RevStream for rev rec. Connects to NetSuite, QuickBooks, Sage for GL posting. Contract data from DocuSign and CLM systems.

Implementation

Rev Rec Compliant in 6 Weeks

Connect your CRM, billing, and GL systems. Configure performance obligation rules and SSP models. Most companies achieve full compliance within 2 months of deployment.

Step 1

Agent discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Enterprise Rev Rec Management

Contract Analysis

Identifies performance obligations from contract text. Determines timing and allocation automatically.

SSP Calculation

Calculates standalone selling prices using market data. Applies residual approach when appropriate.

Modification Handling

Detects contract changes and determines prospective vs. retrospective treatment automatically.

Demo

See Revenue Recognition in Action

Watch the agent process a complex SaaS contract: identify 4 performance obligations, allocate $500K transaction price, create 36-month revenue schedule with modifications.