---
title: "Day Two of the Agentic Era: Operationalising AI Across the Funnel | Brazn AI"
description: Explore the main categories of AI sales tools for SaaS teams—from conversation intelligence to agentic AI platforms—and see how Brazn bridges insights to automated action.
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---

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# Day Two of the Agentic Era: Operationalising AI Across the Funnel

![](https://www.brazn.ai/hubfs/Imported_Blog_Media/photo-1522071820081-009f0129c71c-Sep-19-2026-05-10-41-5807-PM.jpg)

- April 26, 2026

![Alex Margarit](https://www.brazn.ai/hubfs/Alex_Margarit.avif)

[Alex Margarit](https://www.brazn.ai/blog/author/alex-margarit)

# Day Two of the Agentic Era: Operationalising AI Across the Funnel

The initial hype of generative AI (Day One) was about writing emails faster and summarizing calls. We are now entering Day Two: the Agentic Era. This is where AI moves from being a passive tool to an active agent, capable of executing complex, multi-step workflows across the entire GTM funnel.

This article explores how revenue leaders can operationalize agentic AI, moving beyond point solutions to build a truly AI-native revenue engine.

## What We'll Cover

In this article, we will cover:

- The shift from Generative AI to Agentic AI
- What an AI-native GTM funnel looks like
- 3 agentic workflows for Sales, Marketing, and CS
- How to manage and govern AI agents

## Understanding the Approach

Agentic AI refers to systems that can understand a goal, formulate a plan, and execute a series of actions across different software platforms to achieve that goal, with minimal human intervention. In RevOps, this means AI that can update CRMs, trigger marketing campaigns, and alert sales reps autonomously.

Example: An inbound lead comes in. An AI agent researches the company, determines it's a high-priority target, routes it to the best available AE, drafts a highly personalized intro email, and sends a Slack alert to the AE with a summary of the account—all in seconds.

## Why This Matters

Operationalizing agentic AI is the key to achieving non-linear growth, allowing teams to scale output without scaling headcount.

- Before: RevOps builds complex, brittle rules in the CRM to route leads. After: An AI agent intelligently routes leads based on nuanced data and real-time context.
- Before: Reps spend hours orchestrating data between different tools. After: AI agents act as the connective tissue, seamlessly moving data and executing tasks across the stack.

## The Complete Guide

### Workflow 1: The Autonomous SDR

Objective: Automate the entire top-of-funnel research and outreach process.

Actionable Advice: Deploy an AI agent to monitor intent signals, identify target accounts, research the buying committee, and execute a multi-channel outreach sequence.

Best Practices: Ensure human oversight remains for the final review of messaging, especially for high-value accounts.

### Workflow 2: The Deal Desk Assistant

Objective: Accelerate complex deals by automating approvals and pricing.

Actionable Advice: Use an AI agent to review incoming proposals against historical data, automatically approving standard discounts and flagging complex deals for human review.

Best Practices: Train the agent on your specific pricing guidelines and historical win/loss data.

### Workflow 3: The Proactive CS Agent

Objective: Identify and address churn risk before the customer complains.

Actionable Advice: Configure an AI agent to monitor product usage telemetry and support tickets. If it detects a pattern indicative of churn, it automatically alerts the CSM and drafts a mitigation plan.

Best Practices: The agent should focus on leading indicators of churn, not just lagging indicators like a missed payment.

## How to Implement This

RevOps is the command center for the Agentic Era. They are responsible for designing the workflows, deploying the agents, and establishing the governance frameworks to ensure the AI acts within company guidelines. Sales, Marketing, and CS leadership must redefine their team's roles, shifting them from task execution to strategy and relationship management.

## Next Steps

The Agentic Era isn't about replacing your revenue team; it's about giving them superpowers. By operationalizing AI across the funnel, you build an engine that's faster, smarter, and more efficient than your competition.

Map out your current lead routing process. Identify the manual steps that slow it down. This is your first candidate for agentic automation. Ready to enter Day Two? Explore Brazn's agentic AI platform.

# Day Two of the Agentic Era: Operationalising AI Across the Funnel

The initial hype of generative AI (Day One) was about writing emails faster and summarizing calls. We are now entering Day Two: the Agentic Era. This is where AI moves from being a passive tool to an active agent, capable of executing complex, multi-step workflows across the entire GTM funnel.

This article explores how revenue leaders can operationalize agentic AI, moving beyond point solutions to build a truly AI-native revenue engine.

## What We'll Cover

In this article, we will cover:

- The shift from Generative AI to Agentic AI
- What an AI-native GTM funnel looks like
- 3 agentic workflows for Sales, Marketing, and CS
- How to manage and govern AI agents

## Understanding the Approach

Agentic AI refers to systems that can understand a goal, formulate a plan, and execute a series of actions across different software platforms to achieve that goal, with minimal human intervention. In [RevOps](https://www.digitopia.agency/revenue-operations-revops-starter-guide), this means AI that can update [CRM](https://en.wikipedia.org/wiki/Customer_relationship_management) systems, trigger marketing campaigns, and alert sales reps autonomously.

Example: An inbound lead comes in. An AI agent researches the company, determines it's a high-priority target, routes it to the best available [AE](https://en.wikipedia.org/wiki/Account_executive), drafts a highly personalized intro email, and sends a Slack alert to the AE with a summary of the account—all in seconds.

## Why This Matters

Operationalizing agentic AI is the key to achieving non-linear growth, allowing teams to scale output without scaling headcount.

- Before: RevOps builds complex, brittle rules in the CRM to route leads. After: An AI agent intelligently routes leads based on nuanced data and real-time context.
- Before: Reps spend hours orchestrating data between different tools. After: AI agents act as the connective tissue, seamlessly moving data and executing tasks across the stack.

## The Complete Guide

### Workflow 1: The Autonomous [SDR](https://ca.indeed.com/career-advice/finding-a-job/what-is-sdr-in-sales)

Objective: Automate the entire top-of-funnel research and outreach process.

Actionable Advice: Deploy an AI agent to monitor intent signals, identify target accounts, research the buying committee, and execute a multi-channel outreach sequence.

Best Practices: Ensure human oversight remains for the final review of messaging, especially for high-value accounts.

### Workflow 2: The Deal Desk Assistant

Objective: Accelerate complex deals by automating approvals and pricing.

Actionable Advice: Use an AI agent to review incoming proposals against historical data, automatically approving standard discounts and flagging complex deals for human review.

Best Practices: Train the agent on your specific pricing guidelines and historical win/loss data.

### Workflow 3: The Proactive CS Agent

Objective: Identify and address churn risk before the customer complains.

Actionable Advice: Configure an AI agent to monitor product usage telemetry and support tickets. If it detects a pattern indicative of churn, it automatically alerts the CSM and drafts a mitigation plan.

Best Practices: The agent should focus on leading indicators of churn, not just lagging indicators like a missed payment.

## How to Implement This

RevOps is the command center for the Agentic Era. They are responsible for designing the workflows, deploying the agents, and establishing the governance frameworks to ensure the AI acts within company guidelines. Sales, Marketing, and CS leadership must redefine their team's roles, shifting them from task execution to strategy and relationship management.

## Next Steps

The Agentic Era isn't about replacing your revenue team; it's about giving them superpowers. By operationalizing AI across the funnel, you build an engine that's faster, smarter, and more efficient than your competition.

Map out your current lead routing process. Identify the manual steps that slow it down. This is your first candidate for agentic automation. Ready to enter Day Two? Explore Brazn's agentic AI platform.

## See Brazn in your sales stack

Map your current tools and see how Brazn can connect the work between them.

[Book a demo](https://www.brazn.ai)

![Brazn sales intelligence dashboard](https://www.brazn.ai/hubfs/Imported_Blog_Media/Brazn_dashboards-Sep-18-2026-06-57-25-8701-PM-Sep-19-2026-05-17-05-7856-PM.png)

![Alex Margarit](https://www.brazn.ai/hubfs/Imported_Blog_Media/Alex_Margarit-Sep-19-2026-05-17-05-0774-PM.avif)

## About the author

[Alex Margarit](https://www.linkedin.com/in/aemm/) is a Sales AI Expert and SaaS Sales Leader with 25+ years of experience at BMC, ServiceNow, and DocuSign.

 Blog Post

## Related Articles

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### [The New CRO Agenda: Orchestrating a Revenue Org Around AI Agents](https://www.brazn.ai/blog/blogthe-new-cro-agenda-orchestrating-a-revenue-org-around-ai-agents)

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