Over the past few years, AI agents have become a practical addition to sales teams looking to reduce manual work across prospecting, engagement, and sales operations. Rather than changing how sales teams work, these agents support scale, consistency, and execution within existing sales processes.
This article brings together the top 10 AI agents for sales productivity, selected based on real-world usage, sales workflow coverage, and platform capabilities. Each agent is evaluated for how it supports sales automation, including AI SDR and AI BDR use cases.
The sections below outline a structured comparison and a detailed breakdown of the leading platforms.
What This List Covers
Sales teams adopt AI agents for different reasons, from reducing manual work to improving consistency across outreach and pipeline management. To keep this list focused and practical, it is scoped around AI agents that directly support sales execution.
This article focuses on:
- AI agents designed specifically for sales automation and productivity
- AI SDR agents and AI BDR agents are used in active sales workflows
- Platforms that can execute tasks across multiple sales systems
- Agents that support prospecting, engagement, and pipeline operations
To avoid confusion and overlap, certain categories are intentionally excluded.
This scope ensures the list reflects how AI agents are actually used by sales teams today, rather than a broad collection of unrelated AI tools.
Top 10 AI Agents for Sales Productivity – Comparison Table
Sales teams use AI agents in different ways depending on where productivity breaks down in the sales workflow. Some agents focus on prospecting and outreach, others support pipeline execution, and a few operate at the orchestration layer to coordinate work across systems.
The table below compares ten AI agents for sales productivity based on their role, core function, and platform type.
| AI Agent / Platform | Agent Category | Primary Sales Function | Platform Type | Best For |
| DTskill GenE | Sales Automation & Orchestration Agent | Orchestrates AI-driven sales workflows across systems | AI orchestration & automation platform | Enterprises scaling multi-step sales automation |
| Salesforce Agentforce | Sales Execution Agent | Automates sales tasks within CRM workflows | Enterprise CRM AI platform | Salesforce-centric sales teams |
| Persana AI | AI SDR Agent | Prospecting, lead qualification, and outbound automation | AI SDR platform | High-volume outbound teams |
| Artisan (Ava) | AI BDR Agent | Personalised outbound outreach and follow-ups | AI BDR platform | SDR and BDR teams |
| Regie.ai | Sales Engagement Agent | AI-driven messaging and sequence execution | Sales engagement platform | Teams optimising outbound quality |
| Lindy | Sales Automation Agent | Custom AI agents for sales task execution | Agent-based automation platform | Teams building tailored sales agents |
| UserGems (Gem-E) | Pipeline Intelligence Agent | Detects buying signals and pipeline opportunities | Revenue intelligence platform | B2B sales and RevOps teams |
| SalesCloser.ai | Sales Conversation Agent | Automated discovery conversations and demo handling | AI sales agent platform | Early-stage and inbound-heavy teams |
| Warmly | AI SDR Agent | Identifies warm leads and books meetings | AI SDR platform | Demand gen and inbound teams |
| Lavender | Outreach Optimization Agent | Improves email personalization and reply rates | Sales productivity platform | SDRs focused on email outreach |
The agents listed above vary in scope. Some operate as specialized AI SDR or BDR agents, while others, such as GenE and Agentforce, function at a broader execution or orchestration layer, coordinating AI-driven sales activities across tools and systems.
1. DTskill GenE
AI Orchestration Agent for Sales Automation
DTskill GenE is an AI orchestration and automation platform designed to coordinate modular AI agents across sales workflows, systems, and data sources. GenE sits above CRM, ERP, and sales tools to control how AI agents execute sales workflows end to end. It ensures enquiries, quotes, approvals, and follow-ups move in sequence, rather than breaking into disconnected automations.
Primary Sales Function
- Orchestrates AI-driven sales workflows end-to-end
- Coordinates task-specific AI agents across sales operations
- Automates execution across CRM and enterprise systems
Where It Fits in the Sales Workflow
GenE operates at the orchestration layer of the sales workflow. It connects sales processes with underlying systems, enabling AI agents to execute prospecting, CRM updates, decision support, and workflow actions in a coordinated and governed manner.
How It Improves Sales Productivity
By centralising AI execution, GenE reduces manual handoffs between tools and teams. It operationalizes AI across the full sales lifecycle, enabling consistent, scalable automation without disrupting existing sales processes.
Best For
Enterprise sales teams in manufacturing, energy and utilities, oil and gas, and complex B2B industries that manage multi-step sales cycles. GenE is particularly suited for functions such as sales operations, order management, pricing, quoting, and enterprise account sales, where workflows span multiple systems and approvals.
2. Salesforce Agentforce
Salesforce Agentforce is Salesforce’s agentic AI framework embedded directly into the CRM. It enables AI agents to perform sales tasks such as updating records, prioritising leads, and assisting with deal execution within existing Salesforce workflows. Agentforce operates natively across Sales Cloud and related Salesforce products, using enterprise data and permissions. It is designed for teams already standardized on Salesforce. The platform emphasises governed automation rather than standalone AI tools.
Primary Sales Function
- Automates CRM task execution
- Supports pipeline management and deal progression
- Assists sellers with next-best actions
How It Improves Sales Productivity
By automating routine CRM actions and recommendations, Agentforce reduces manual data work and keeps sales teams focused on active deals.
3. Persana AI
Persana AI is an AI SDR platform focused on outbound prospecting and lead qualification. It combines data enrichment, intent signals, and AI-driven workflows to identify and engage high-quality prospects. Persana integrates with common sales tools and CRMs to trigger outreach actions automatically. The platform is built for teams running structured outbound motions. Its core value lies in reducing time spent on manual prospect research.
Primary Sales Function
- Lead research and enrichment
- Prospect prioritization
- Automated outbound execution
How It Improves Sales Productivity
Persana reduces prospecting time by automating lead discovery and qualification, allowing SDRs to engage more qualified accounts faster.
4. Artisan (Ava)
Artisan’s Ava is an AI BDR agent designed to run outbound outreach with high levels of personalization. It automates research, messaging, and follow-ups across outbound channels. Ava adapts messaging based on prospect context and engagement signals. The platform is positioned as a digital BDR that supports human-led sales teams. It is commonly used by teams scaling outbound without expanding headcount.
Primary Sales Function
- Personalized outbound messaging
- Follow-up automation
- Prospect engagement coordination
How It Improves Sales Productivity
Ava handles repetitive outreach tasks at scale, enabling sales teams to maintain personalization without increasing manual effort.
5. Regie.ai
Regie.ai is a sales engagement platform that uses AI to generate, optimize, and execute outbound messaging. It supports SDR and BDR teams with AI-generated sequences aligned to sales playbooks. The platform integrates with sales engagement and CRM tools to execute campaigns. Regie.ai focuses on improving message quality and consistency rather than full workflow orchestration. It is commonly used in outbound-heavy sales environments.
Primary Sales Function
- AI-generated sales messaging
- Sequence execution support
- Outbound engagement optimization
How It Improves Sales Productivity
Regie.ai reduces time spent writing and refining outreach, helping teams execute outbound campaigns more efficiently.
6. Lindy
Lindy is an agent-based automation platform that allows teams to build custom AI agents for sales tasks. It supports task execution such as follow-ups, scheduling, CRM updates, and internal coordination. Lindy is flexible by design and integrates with common sales and productivity tools. The platform is often used by teams that want tailored AI agents rather than fixed sales tools. It emphasizes configurability over specialization.
Primary Sales Function
- Task automation across sales workflows
- Custom agent execution
- Sales process coordination
How It Improves Sales Productivity
Lindy enables teams to automate repetitive sales tasks through custom agents, reducing manual coordination work.
7. UserGems (Gem-E)
UserGems is a revenue intelligence platform that detects buying signals based on contact and account movement. Its AI agent, Gem-E, identifies warm opportunities by monitoring job changes and intent signals. The platform integrates with CRM systems to surface actionable pipeline insights. UserGems is commonly used by B2B sales and RevOps teams. It focuses on opportunity identification rather than outbound execution.
Primary Sales Function
- Buying signal detection
- Pipeline opportunity identification
- CRM intelligence enrichment
How It Improves Sales Productivity
By surfacing warm opportunities automatically, UserGems helps sales teams prioritize accounts with higher conversion potential.
8. SalesCloser.ai
SalesCloser.ai is an AI sales agent designed to handle early-stage sales conversations. It can conduct discovery calls, answer product questions, and schedule next steps. The platform is often used for inbound sales or high-volume lead engagement. SalesCloser.ai operates as a conversational agent rather than a full sales workflow platform. It reduces the load on human sellers during initial interactions.
Primary Sales Function
- Automated discovery conversations
- Lead engagement and qualification
- Demo and meeting coordination
How It Improves Sales Productivity
SalesCloser.ai handles early conversations at scale, allowing sales reps to focus on qualified opportunities.
9. Warmly
Warmly is an AI SDR platform focused on identifying and acting on warm buying signals. It monitors website activity, intent data, and engagement signals to trigger SDR actions. Warmly integrates with CRM and scheduling tools to automate meeting booking. The platform is commonly used by inbound and product-led growth teams. Its value lies in speed-to-lead execution.
Primary Sales Function
- Intent signal detection
- Inbound lead qualification
- Automated meeting booking
How It Improves Sales Productivity
Warmly reduces response time to high-intent leads, improving conversion rates without manual monitoring.
10. Lavender
Lavender is a sales productivity tool focused on improving outbound email quality. It uses AI to analyze and optimize email copy in real time. The platform integrates with email and sales engagement tools used by SDRs. Lavender does not automate workflows but enhances execution quality. It is commonly adopted by teams prioritizing email-based outreach.
Primary Sales Function
- Email copy optimization
- Personalization guidance
- Outreach performance improvement
How It Improves Sales Productivity
Lavender helps SDRs write more effective emails faster, increasing reply rates without additional outreach volume.
Common Sales Automation Use Cases Enabled by AI Agents
AI agents for sales productivity are most effective when applied to repetitive, execution-heavy parts of the sales workflow. These are the areas where manual effort slows teams down, and maintaining consistency becomes difficult as volume increases.
Automating lead research and enrichment
AI agents collect and enrich prospect data from multiple internal and external sources, creating complete and usable profiles without manual research. This allows SDRs to prioritise outreach based on fit and intent instead of fragmented or outdated information.
Running multi-step outreach sequences
Sales agents execute structured outreach across email and other channels, managing timing, personalisation, and follow-ups automatically. This ensures consistent engagement across large prospect lists without relying on manual coordination.
Managing follow-ups across channels
AI agents track engagement signals and trigger follow-ups based on predefined logic and real-time activity. This reduces dropped conversations and keeps prospects moving through the sales funnel without manual reminders.
Updating CRM records automatically
Agents log activities, update deal stages, and maintain contact and opportunity records in real time. This keeps CRM data accurate and current without pulling sellers away from active selling.
Supporting pipeline reviews with AI insights
AI agents analyse pipeline data to highlight stalled deals, risk signals, and priority actions. This supports more focused pipeline reviews and improves the quality of forecasting discussions.
Coordinating sales tasks across systems
Beyond individual tools, some AI agents orchestrate tasks across CRMs, engagement platforms, and internal systems. This reduces handoffs between tools and keeps sales workflows connected end to end.
Together, these use cases reduce execution overhead and allow sales teams to focus on conversations, decision-making, and deal progression rather than manual task management.
How to Choose the Right AI Agent for Sales
The right AI sales agent depends on where your team loses the most time across the sales funnel. Choosing effectively requires aligning the agent’s capabilities with your sales structure, motion, and systems.
Funnel stage
Start by identifying where productivity breaks down in your sales process. AI SDR agents are best suited for top-of-funnel activities such as prospecting and qualification, while AI BDR agents support mid-funnel engagement and opportunity progression. Orchestration agents are more effective for teams managing complex, multi-step workflows that span multiple systems.
Sales motion
Inbound and outbound sales motions require different types of automation. Outbound teams benefit from agents that handle research, outreach, and follow-ups at scale. Inbound teams gain more value from agents who prioritise intent signals, respond quickly to engagement, and route qualified leads to the right sellers.
Team size and deal volume
Smaller teams often need AI agents that automate execution without adding operational complexity. Larger teams with higher deal volumes benefit from agents that enforce consistency, reduce manual coordination, and support standardised processes across regions, segments, or product lines.
Existing CRM and sales stack
AI agents deliver the most value when they integrate deeply with your current systems. Before selecting a tool, assess how well it connects with your CRM, engagement platforms, and data sources, and whether it can act within existing workflows rather than creating parallel processes.
Choosing AI agents with a clear role and strong system alignment helps ensure productivity gains are sustained, measurable, and scalable over time.
Conclusion
AI agents for sales productivity are becoming a practical layer in modern sales operations. Rather than replacing sellers, these agents reduce execution overhead by automating prospecting, outreach, follow-ups, CRM updates, and pipeline analysis.
Different agents serve different roles across the sales funnel. AI SDR and BDR agents focus on engagement and qualification, while orchestration platforms coordinate tasks across systems and workflows. Selecting the right combination depends on sales motion, team structure, and the tools already in place.
When implemented with clear scope and proper integration, AI agents help sales teams operate with greater consistency, speed, and focus. The result is improved productivity without disrupting established sales processes.
FAQs
What are AI agents for sales?
AI agents for sales are systems that execute specific sales tasks such as prospecting, outreach, follow-ups, and pipeline updates using AI-driven workflows and access to sales data.
How are AI SDR agents different from AI BDR agents?
AI SDR agents primarily support top-of-funnel activities like lead research and initial outreach, while AI BDR agents focus on mid-funnel engagement and opportunity progression.
Can AI sales agents replace human sales reps?
No. AI sales agents are designed to handle repetitive and operational tasks, allowing human sales reps to focus on conversations, relationships, and closing deals.
Are AI agents suitable for small sales teams?
Yes. Small sales teams often benefit from AI agents that automate execution-heavy tasks, helping them increase output without adding headcount or operational complexity.How should teams evaluate AI agents for sales automation?
Teams should assess where time is lost in their sales workflow, how well the agent integrates with existing systems, and whether it supports their sales motion, scale, and growth requirements.
