AI Agent

Sales Operations AI Agent

Keep CRM clean and sales data accurate without manual updates

Reps spend 4 hours/week on data entry. Zero with AI that updates CRM, enriches leads, and maintains forecast accuracy.

Benefits

Let Reps Sell While AI Handles the Data

Sales reps spend 4+ hours weekly on CRM data entry instead of selling. Lead data is incomplete and outdated. Forecast accuracy suffers from manual updates. Pipeline hygiene requires constant policing. This agent automates everything.

90%

Less manual data entry

95%

CRM data accuracy

4 hrs

Selling time gained/week

Agentic Flows

Complete Sales Operations Automation

Automated workflow: activity capture from email and calendar, CRM data entry and updates, lead enrichment with external data sources, opportunity stage tracking, forecast accuracy maintenance, pipeline health monitoring.

How it works

Intelligent CRM and Pipeline Management

The agent captures deal updates from emails and calls automatically, enriches leads with company and contact data from databases, maintains pipeline stages and forecast accuracy, alerts reps to stale opportunities requiring action.

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.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

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.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Integrations

Works with Your Sales Stack

Direct integration with Salesforce, HubSpot, Microsoft Dynamics, Pipedrive, and CRM platforms. Enrichment data from ZoomInfo, Clearbit, Apollo, LinkedIn. Email and calendar sync with Gmail, Outlook, and Google Workspace.

Implementation

Cleaning CRM in 48 Hours

Connect your CRM, email, and enrichment data sources. Configure pipeline stage rules and alert thresholds. Most teams have automated CRM updates running within 2 days.

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

Sales Productivity Tools

Auto CRM Updates

Captures activities from email and calls. Updates CRM automatically so reps never log manually.

Lead Enrichment

Pulls company size, revenue, tech stack, and contact info. Completes incomplete lead records always.

Pipeline Hygiene

Alerts reps to stale deals and missing next steps. Maintains forecast accuracy automatically.

Demo

See Sales Operations in Action

Watch the agent process a rep's week: capture 20 emails and calls, update CRM opportunities, enrich 15 leads with company data, flag 5 stale deals, update forecast.