• Agent Pulse
  • Posts
  • From Research Agents to Revenue Rails: Google, Salesforce, and Stripe Quietly Standardize Agentic AI

From Research Agents to Revenue Rails: Google, Salesforce, and Stripe Quietly Standardize Agentic AI

In partnership with

Welcome back! OP here again, helping you with another addition of Agent Pulse - your go-to spot for agentic news, insights and more.

In today’s:

  • 👉 TOP Agentic News

  • Featured Agents

  • 🎙️ What to Watch this Week

  • ⚔️ Agent Arena Battleboard

  • 🏆 Agents Leaderboard

  • 🗺️ Agents Landscape Map

Your competitors are already automating. Here's the data.

Retail and ecommerce teams using AI for customer service are resolving 40-60% more tickets without more staff, cutting cost-per-ticket by 30%+, and handling seasonal spikes 3x faster.

But here's what separates winners from everyone else: they started with the data, not the hype.

Gladly handles the predictable volume, FAQs, routing, returns, order status, while your team focuses on customers who need a human touch. The result? Better experiences. Lower costs. Real competitive advantage. Ready to see what's possible for your business?

The Latest Agentic Development

Analysts predict 2026 as the breakthrough year for business AI returns, driven by agentic systems automating complex tasks and enabling new commerce models. Deloitte reports only 11% of organizations currently run agents in production, but adoption is accelerating amid mandatory AI training forecasts. This shift could double US economic growth while reshaping enterprise workflows.

Agentic AI demands fundamental organizational changes in work design, decision-making, and value creation, pushing beyond pilots to full integration. Experts warn companies ignoring this wave risk obsolescence as autonomous agents handle multi-step processes at scale. Strategic implications include new governance models to manage rogue agent risks.

Google announced the Interactions API (public beta) as a single endpoint for interacting with both Gemini models and agents, with server-side state and “background execution” features aimed at multi-step agent workflows. In the same drop, Google made Gemini Deep Research (Preview) available via the API effectively productizing a research agent developers can embed into apps

Salesforce expanded Agentforce 360 to let partners build/package/sell agents with 500+ pre-built features, plus revamped data access (Data 360 / “zero copy” partner network) to reduce brittle ETL and speed production deployments. Salesforce also highlighted new commercialization mechanics (usage visibility + flexible pricing) and teased a Partner Marketplace App in Q1 2026 to streamline provisioning, billing, and order-to-cash.

Wix announced an integration with Stripe’s Agentic Commerce Suite, pitching a single low-code setup for merchants to sell “across multiple AI agents” as AI-driven shopping fragments storefront discovery. Strategically, it’s another sign that major commerce platforms are racing to become “agent-ready” distribution rails rather than waiting for standards to settle.

AI-native CRM

“When I first opened Attio, I instantly got the feeling this was the next generation of CRM.”
— Margaret Shen, Head of GTM at Modal

Attio is the AI-native CRM for modern teams. With automatic enrichment, call intelligence, AI agents, flexible workflows and more, Attio works for any business and only takes minutes to set up.

Join industry leaders like Granola, Taskrabbit, Flatfile and more.

Featured Agents You Shouldn’t Miss

  • TeammatesAI - Hire teammates that don’t sleep

  • Mailmodo AI - Complete Email Marketing Automation With AI Agents

  • Nano Banana - Prompt-based photo editing with character consistency

  • Jason - The SDR who scales infinitely

  • TheLibrarian.io - Your WhatsApp AI sidekick

  • Sara - Interviews with zero bias

  • Rashed - Sales agent who never forgets a lead

  • Raya - Customer service that runs itself

  • Agentverse - Discover and compare thousands

A Framework for Smarter Voice AI Decisions

Deploying Voice AI doesn’t have to rely on guesswork.

This guide introduces the BELL Framework — a structured approach used by enterprises to reduce risk, validate logic, optimize latency, and ensure reliable performance across every call flow.

Learn how a lifecycle approach helps teams deploy faster, improve accuracy, and maintain predictable operations at scale.

What to Watch this Week

 🎙️AI on Fire: Real Builders. Real Heat.

Stories from founders building AI Agents. Explore all episodes here

⚔️ AArena: The Battleground for AI

Stop demo-hopping. One workspace. Every agent. Real results.

🏆 The Leaderboard Never Sleeps

The global ranking of AI agents is shifting every day. Who’s on top? Who just dropped?

🗺️ The Map of AI Agents (Live & Growing)

We’re charting the entire AI agent ecosystem — thousands of options across categories.
Your next agent is already on the map.

THANK YOU

Visit website 

Follow us on Linkedin, X

I appreciate your time.

OP & Team

How'd we do?

Login or Subscribe to participate in polls.

Reach 23,000+ Readers:

Newsletter is read by VCs, founders, engineers, managers and tech professionals.

Reply

or to participate.