Large action model CRM navigators
Data as of Oct 25, 2026
Reviewed by Dimitry Apollonsky
Which brands AI mentions
Mentioned in · Jul 6 – Oct 25, 2026
ChatGPT SearchChatGPT SearchGoogle AI ModeGoogle AI Mode
Widest split: OpenAI, 63% on ChatGPT Search and 13% on Google AI Mode.
- =1UiPathChatGPT Search 83%Google AI Mode 74%
- =1Salesforce AgentforceChatGPT Search 63%Google AI Mode 78%
- =3AnthropicChatGPT Search 54%Google AI Mode 30%
- =3SalesforceChatGPT Search 54%Google AI Mode 30%
- =3OpenAIChatGPT Search 63%Google AI Mode 13%
Questions and answers
Google AI ModeOct 15, 2026
Several enterprise automation and AI platforms offer UI-navigating agents powered by Large Action Models (LAMs) or computer-use technology to execute workflows inside CRMs . Rather than relying strictly on rigid backend APIs, these autonomous agents can interpret visual layouts, click fields, fill forms, and navigate web-based software interfaces the way a human user would.
Major Providers of UI-Navigating AI Agents
- UiPath Autopilot & UI Agents: Combines traditional robotic process automation (RPA) with LAMs so that bots can visually "see" and dynamically navigate desktop and web application UIs based on natural language instructions rather than broken element selectors.
- Salesforce Agentforce: Utilizes deep reasoning engines and action models integrated natively within the Salesforce ecosystem to orchestrate actions, query data, and manipulate records directly via the platform's logical architecture.
- Anthropic Claude (Computer Use): Offers general "computer use" capabilities where models can be directed to view a screen, take screenshots, move the cursor, type, and click elements to operate any software interface or CRM layout autonomously.
- OpenAI Operator / Computer-Using Agents: Research and enterprise deployments that leverage vision-based models to execute end-to-end multi-step web navigation and actions inside third-party application UIs.
- Automation Anywhere AI Agents: Provides process automation agents trained to interpret screen elements and complete end-to-end data entry and lookup workflows across legacy and modern CRM front-ends.
If you can share which specific CRM you use (e.g., Salesforce, HubSpot, Microsoft Dynamics) and the exact task you want the agent to perform, I can provide a more tailored recommendation.
Sources cited in this answer6
- uipath.comUI agents: Unlocking the true potential of large action models | Community blog
- linkedin.comHow AI Agents are used in 2025: 6 Examples | Ravi Kiran ...
- youtube.comLarge action models: Using AI to automate workflow processes
- aimultiple.comLarge Action Models: Hype or Real?
- mastersoftwaresolutions.comLarge Action Models (LAMs): A Complete Guide
- salesforce.comAgentforce Guide to Context Engineering
ChatGPT SearchOct 15, 2026
If you already use a CRM and want an AI agent that actually navigates the user interface, clicks buttons, fills fields, moves between screens, and completes workflows, look for vendors offering computer-use agents, GUI agents, or agentic UI automation. “Large Action Model” (LAM) is a related term, but vendors don't use it consistently.
The key distinction is whether the agent can operate your CRM through its visible UI—even when an API or prebuilt integration isn't available—or whether it only acts through supported CRM APIs.
Vendors worth evaluating
1. Microsoft Copilot Studio — best enterprise starting point
(Strong fit)
Its computer-use capability lets agents visually navigate websites and desktop applications, click controls, enter data, and work with systems that lack APIs. It supports OpenAI and Anthropic computer-use models. Computer-using agents became generally available in May 2026.
Best for: Building a governed agent that performs CRM tasks and works across other business applications.
2. UiPath — best for industrial-strength automation
UiPath combines AI agents with robotic process automation (RPA), computer vision, and its ScreenPlay agent, which converts natural-language instructions into self-driving UI workflows. It can automate legacy applications and virtual desktops as well as modern web apps.
Best for: High-volume CRM updates, repetitive sales operations, data entry, and workflows spanning multiple systems.
3. OpenAI — computer-use models for custom agents
OpenAI offers computer-use capabilities through its API, enabling developers to build agents that inspect screenshots and interact with browser or desktop interfaces. You provide the execution environment and connect the agent to your application.
Best for: Building a custom CRM agent when you want control over the workflow, user experience, and model integration.
Computer-use API documentation
4. Anthropic Claude — another computer-use model option
Claude's computer-use tooling lets developers provide screenshot, mouse, and keyboard control over a computer environment. Its desktop app also supports direct interaction with apps when a suitable connector is unavailable. Enterprise deployment options and feature availability should be checked carefully.
Best for: Prototyping agents that navigate unfamiliar CRM screens or custom internal applications.
5. Salesforce Agentforce — best if Salesforce is your CRM
Agentforce provides autonomous agents that execute configured actions using CRM data, workflows, and platform capabilities. However, it is not the same thing as a general-purpose visual agent that clicks around arbitrary software.
Best for: Salesforce-native sales, service, and customer operations. Verify that the specific workflow needs actual GUI control before selecting it.
Which type should you buy?
Your requirement First vendor to evaluate Agent must click through CRM screens like a human Microsoft Copilot Studio Reliable, repeatable automation at scale UiPath Custom agent built around your CRM and business rules OpenAI computer-use API Native actions and workflows inside Salesforce Salesforce Agentforce A practical architecture often uses CRM APIs for supported operations and a computer-use agent for the gaps. API-based actions are generally faster and more reliable; visual navigation is useful for legacy screens, unsupported workflows, and applications without usable APIs.
One question to narrow this down
Which CRM do you use?
CRM platform
Salesforce
Microsoft Dynamics 365
HubSpot
Zoho CRM
SAP CRM
Other / custom CRM
What should the agent do?
Create or update records and fields
Complete multi-screen workflows
Copy data between systems
Handle end-to-end sales or service tasks
Deployment preference
Enterprise-ready, with governance and audit logs
Low-code / no-code
Custom-built agent using APIs and models
[Find the best-fit agents]
Sources cited in this answer15
- learn.microsoft.comAutomate web and desktop apps with computer use - Microsoft Copilot Studio
- microsoft.comImprove complex UI automation with computer‑using agents
- techcommunity.microsoft.comComputer-using agents in Microsoft Copilot Studio are now generally available
- learn.microsoft.comAutomate web and desktop apps with computer use - Microsoft Copilot Studio | Microsoft Learn
- uipath.comAI-Powered Enterprise RPA | UiPath
- uipath.comUI automation for every interface | UiPath
Google AI ModeOct 25, 2026
Interacting directly with a CRM interface via a Large Action Model (LAM) or
vision-based UI agentallows you to bypass rigid APIs and handle dynamic layouts. Several prominent solutions and platforms approach this capability:- Anthropic Computer Use API : Available via the Anthropic API , this model-driven capability lets frontier models like Claude view screen pixels, move cursors, click, type, and manage entire desktop or browser-based workflows natively. It can be hosted in a secure virtual environment to drive web-based CRM interfaces.
- Salesforce Agentforce & xLAM : Salesforce utilizes its proprietary Salesforce Agentforce framework and underlying Large Action Models (xLAM research) to orchestrate multi-step business actions, specifically optimized to reason through CRM records, customer statuses, and backend execution without manual scripting.
- UiPath Autopilot & UI Automation : Combining traditional robust screen recording with generative AI, UiPath Autopilot can interpret user intent, interact with legacy or modern CRMs lacking an API, and dynamically handle unexpected UI shifts or dropdown variations.
- Open-Source Browser Use Frameworks : Open-source projects like
browser-use(integrating with vision-enabled LLMs) allow developers to spin up custom Python-based agents that treat the browser DOM like a visual canvas, logging into CRMs, scraping, and entering data via natural language prompts.
If you'd like to narrow this down, let me know:
- Is your CRM cloud-based (web UI) or a desktop/legacy app?
- Do you prefer a managed enterprise platform (like Salesforce/UiPath) or a custom developer API (like Anthropic)?
I can provide a more targeted implementation approach or architecture overview.
Sources cited in this answer7
- uipath.comNo API, no problem. Watch Autopilot drive Odoo CRM through the UI
- uipath.comUI agents: Unlocking the true potential of large action models | Community blog
- anthropic.comIntroducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku \ Anthropic
- platform.claude.comComputer use tool - Claude Platform Docs
- salesforce.comWhat Are Large Action Models (LAMs)? | Salesforce
- infobip.comWhat is Large Action Model (LAM)? – Infobip
ChatGPT SearchOct 25, 2026
Yes. What you're describing is usually called a computer-use agent, GUI agent, or large action model (LAM) agent. It can interpret a goal, navigate your CRM's interface, click buttons, fill fields, move between records, and execute a multi-step workflow instead of merely recommending what a human should do.
There are several promising solutions, but the key distinction is whether you need an agent that literally operates the existing CRM interface or one that can execute the same business operations through APIs and native integrations.
One important caveat: CRM automation is a challenging real-world benchmark. A 2026 ICLR study testing agents on Salesforce workflows found success rates below 5% for some open-source computer-use agents in zero-shot tests, versus up to 39% for closed-source agents. Demonstrations improved results substantially, but reliability still needs to be validated on your actual workflows.
Solutions worth evaluating
1. UiPath
(Best starting point for UI automation)
UiPath combines AI agents and computer-use models with robotic process automation (RPA). Its published approach includes integrations with computer-use models from Anthropic and OpenAI, alongside UiPath's own capabilities. It can orchestrate multi-step processes and combine AI decisions with deterministic automation.
Best for: Navigating an existing CRM, completing forms, processing records, and coordinating tasks across multiple enterprise applications.
2. Claude
Best for Salesforce workflows through a connected agent
Anthropic's Salesforce integration, announced in September 2026, lets sellers research accounts, update opportunities, log calls, and create follow-up tasks. Updates can require seller approval. This is primarily a connected, data-aware workflow agent rather than an agent that visually clicks through every CRM screen.
Best for: Sales operations in Salesforce when the goal is completing business tasks rather than reproducing human UI interactions.
Read the Salesforce integration announcement
3. Salesforce Agentforce
Best for native Salesforce automation
Agentforce allows you to define agents, actions, business rules, and approval or escalation paths. It can update CRM records and orchestrate workflows without relying on visual mouse-and-keyboard automation for every step.
Best for: Salesforce organizations that want governed automation inside the CRM.
Explore Agentforce architecture
4. Genesys Cloud Agentic Virtual Agent
Best for customer-service workflows across systems
Genesys announced a LAM-powered virtual agent in February 2026, using Scaled Cognition's APT-1 model to execute multi-step customer-service processes across CRM, billing, and service operations.
Best for: Automating customer requests end to end, rather than general-purpose desktop interaction.
How I'd choose
Your requirement First solution to evaluate Must interact with the existing UI, including buttons, dropdowns, and modals UiPath Uses Salesforce and needs sales workflow execution Claude's Salesforce integration or Agentforce Needs to resolve customer-service requests across multiple systems Genesys Uses a proprietary CRM with limited APIs UiPath or a custom computer-use agent One architectural recommendation: prefer API or DOM-based automation where reliable, and use visual computer interaction for the steps that genuinely require it. UiPath describes this hybrid approach as combining the adaptability of computer-use agents with the precision of conventional automation.
For production workflows, I would also require sandbox testing, explicit permission boundaries, verification of completed changes, audit logs, and human approval for irreversible actions.
Let me narrow this down to the right agent
The most important question is: which CRM are you using?
1. CRM platform
Salesforce
HubSpot
Microsoft Dynamics 365
Custom or proprietary CRM
Other CRM
2. How must the agent interact?
Must use the visible UI like a human
APIs and integrations are acceptable
Hybrid: UI where necessary, APIs otherwise
3. What workflows should it complete?
Update records across multiple screens
Qualify leads and manage sales opportunities
Resolve support cases
Coordinate the CRM with email, spreadsheets, and other apps
4. Deployment preference
Enterprise controls or self-hosting preferred
Cloud SaaS is fine
Open-source or custom-built solution is fine
[Find the best-fit solutions]
With the CRM and interaction requirement established, I can narrow this to a practical shortlist of products that can actually execute your workflows—not just chat about them.
Sources cited in this answer13
Also asked as
- I need an AI agent that can interact with my CRM's interface to complete tasks. Are there any Large Action Models designed for this?
