Agent Shortlist

Use case

AI agents for sales: tested.

Six platforms we'd actually deploy for sales work in 2026 — outbound research, follow-up sequences, lead qualification, voice calls, and CRM automation. Tested across real workflows. No vendor demos.

01

Lindy

The most builder-friendly no-code platform. Pre-built sales templates: meeting prep, follow-up sequences, lead enrichment, CRM updates. Working in hours.

Best for: Non-technical sales teams. Working agents in days, not weeks.From ~$49/month
02

Relevance AI

More powerful than Lindy. Best tool-building interface in the no-code category for outbound research, sales intelligence, and data enrichment.

Best for: Sophisticated workflows with conditional logic and multi-step research.From ~$19/month
03

n8n

Workflow automation with native AI agent steps. Self-hostable. 400+ integrations. Beats every no-code tool for complex multi-step automations once set up.

Best for: Teams with at least one developer who want full control.Open-source self-hosted (free) or cloud from $24/month
04

Retell AI

Voice agents for outbound sales calls. Sub-second latency, function calling for CRM updates, telephony built in. Production-grade.

Best for: Outbound sales calls, lead qualification, appointment booking.~$0.07-0.10 per minute
05

Bland AI

High-volume phone agents. 1,000 simultaneous calls, retry logic, CRM webhooks. Built for SDR replacement campaigns.

Best for: High-volume outbound: SDR fleets, lead qualification at scale.~$0.09-0.12 per minute
06

Claude Code

If your sales workflow involves data manipulation or integrating with internal APIs, Claude Code can build the automation directly in your codebase.

Best for: Teams comfortable with technical workflows that need custom integration logic.Included with Claude Pro ($20/mo) and above

FAQ

Common questions about AI sales agents.

What are AI agents for sales?

AI agents for sales are software that automates parts of the sales workflow that previously required SDRs, account executives, or operations specialists. The most common applications: outbound prospecting (researching leads and writing personalised first-touch emails), follow-up sequences (drafting and sending nurture messages based on prospect behaviour), CRM updates (logging activity and progressing pipeline), and qualification (deciding which inbound leads are worth a human conversation).

What's the best AI agent for sales?

Depends on what you're automating. For non-technical teams that need working agents this week: Lindy. For sophisticated outbound research with conditional logic: Relevance AI. For high-volume voice outbound (replacing SDR phone work): Bland AI. For teams with a developer who want full control over the workflow: n8n. The right answer depends on your team's technical capacity, your CRM, and your call/email volume.

How much does an AI sales agent cost?

Two cost layers. Platform costs: $19-$199/month for no-code platforms (Lindy, Relevance AI), free for open-source workflow builders (n8n self-hosted), per-minute for voice platforms (~$0.07-0.10/min for Retell AI or Bland). Model costs: per-token API charges that scale with task volume. A typical AI sales agent handling 1,000 prospects per month runs $50-$300 all-in for most teams.

Can AI agents replace human SDRs?

For top-of-funnel work — research, first-touch outreach, qualification calls — yes, in many cases. AI agents handle the volume and repetition where human SDRs burn out. For middle-funnel work — building rapport, handling objections, navigating procurement — humans still outperform AI on the high-stakes calls. The pattern that works: AI handles tier-1 volume, humans take over once a lead is qualified and engaged.

Continue exploring