Dreamforce is on-demand now. Stream 400+ sessions, free on Salesforce+.
Watch now
AI agents for technology
Deploy AI agents that help tech teams find and qualify leads, retain customers, drive product adoption, and grow net revenue retention, all on the #1 Agentic CRM for technology, built on open architecture that integrates with every system your teams build on.
Get started today with AI agents purpose-built for technology
Choose from purpose-built agents for software, hardware, SaaS, and platform companies — grounded in product usage, CRM, and engagement data so they're ready to deliver value from day one.
Unlock revenue growth with proactive AI assistance
- Lead Qualification & Autonomous Prospecting: Let AI agents autonomously answer product questions, handle objections, nurture leads, and books meetings for sales reps, across every inbound channel.
- Product-Led Sales & Conversion: Unify engagement and product usage data to identify product-qualified leads, enable precise segmentation, and power personalized acquisition journeys.
- Revenue Diversification & Quote-to-Cash: See opportunity insights, prioritizes accounts with AI-powered engagement signals and supports launch of new revenue streams.
Drive recurring revenue with AI-driven personalization
- 24/7 Autonomous Self-Service & FAQs: Autonomously answer product FAQs and troubleshoot queries around the clock, grounded in your knowledge base, creating revenue-generating moments
- Product Adoption & Onboarding: Personalize the customer journey from onboarding to renewal, triggering adoption journeys based on role and generating success plans in partnership with customer success teams.
- Proactive Renewals & NRR Growth: Proactively identify accounts approaching renewal, surface white space and upsell opportunities based on product usage and engages customers on product questions, all before churn risk escalates.
Quickly build and customize smarter agents with Agentforce
Use pre-configured building blocks and extend your agents for any use case with a low-code builder and natural-language agent authoring.
Trusted data foundation
Pre-built data models and integrations — so AI agents are grounded in technology context from day one.
Prebuilt workflows
Pre-built business logic, workflows, and processes tuned to technology operations.
Domain-specific insights
Contextual, actionable intelligence surfaced right where teams work, turning data into decisions.
Surface expertise through key systems
Insights and workflows available on Slack and other surfaces, right where you work.
Ready to take the next step with Agentforce for Technology and see it in action?
Become an Agentblazer
Build your AI expertise.
Talk to an expert
Ready to transform your technology business?
Watch a demo
Learn how Salesforce for Technology powers customers' success.
AI agents for technology FAQs
AI agents in technology are software solutions that leverage artificial intelligence to automate tasks, manage IT operations, and enhance efficiency. They allow technology companies to scale revenue faster with autonomous prospecting. AI agents also decrease cost to serve through 24/7 autonomous self-service. Additionally, they personalize the customer journey from onboarding to renewal to drive product adoption, consumption, and revenue.
Agentic AI in technology refers to autonomous AI systems that make decisions and take actions to optimize front office and IT processes. These systems use machine learning and other AI technologies to analyze data, identify patterns, and take action, improving efficiency and reducing manual processes. By automating complex decision-making, agentic AI enhances technology operations, drives revenue, and improves service.
AI agents bring numerous benefits to the technology industry including improved incident response, increased net revenue retention, and accelerated revenue. By using AI-powered automation, IT teams can reduce mean-time-to-detect (MTTD) and service teams can reduce mean-time-to-resolution (MTTR), resulting in increased uptime and productivity. Additionally, AI agents provide data-driven insights, enabling informed decision-making and strategic planning.
Agentic AI in the technology industry is used for a variety of tasks, including automated software testing, where AI agents identify and fix bugs more efficiently. In cybersecurity, they monitor networks for threats and respond in real time. For DevOps, agentic AI optimizes deployment pipelines and resource allocation. In customer support, AI agents handle complex queries and provide 24/7 assistance. In sales, AI agents can autonomously prospect and assist sellers with lead prioritization.
Agentforce for Technology is a cloud-based platform designed to boost tech operations and efficiency. It automates software testing and deployment, ensuring faster and more reliable product releases. In cybersecurity, it provides real-time threat detection and response. For IT and customer support, it offers intelligent ticket routing and automated issue resolution. Agentforce also personalizes user experiences, tailoring content and recommendations to individual preferences.
Agentforce for Technology streamlines customer service operations by integrating AI-driven chatbots and human agents, enhancing response times and customer satisfaction. It offers scalable solutions, reducing costs and improving efficiency. The platform's analytics provide valuable insights, helping tech companies refine their support strategies and product development. Agentforce also ensures seamless omnichannel support, allowing customers to engage through their preferred communication channels.
Agentforce can reason through complex requests, safely retrieve accurate knowledge about your business, take action on your behalf, and scale across teams and departments. It starts with the Atlas Reasoning Engine, which breaks down the initial prompt into smaller tasks, evaluating at each step and proposing a plan for how to proceed until the complete answer or action is achieved.
Disclaimer: Salesforce pre-built Agentforce capabilities are constantly being enhanced based on customer feedback and may not reflect actual product details. Solutions may not be currently available, delivered on time or at all. Customers should make purchase decisions based upon solutions that are currently available.