Dashly

What does 'data-driven AI agents' actually mean?

Every message an agent sends is built from your CDP: real behavior on your site, real CRM data, real past conversations. Not a generic LLM guess. That's what lets our agents hit 82% MQL-to-meeting instead of the ~20% a generic chatbot gets.

Why do you have multiple agents instead of one?

Inbound is not one job. Engagement opens the conversation on the right page at the right moment. The Qualifier asks ICP questions and routes intent. Support answers off-script product questions without losing the qualification thread. Booking locks the slot, sends the invite, and runs the nurture. A single 'do-everything' agent ends up mediocre at all four because each role has a different objective, a different success metric, and a different prompt. Splitting the workload also makes hand-offs explicit (Engagement → Qualifier → Support → Booking), so every transition is logged, monitored, and

Why can't I build such agents myself with Claude or ChatGPT?

You can build a wrapper around Claude or ChatGPT in a weekend. The hard part is everything else: a real-time CDP with sub-3ms event ingestion, a unified Lead Profile that merges behavior, CRM, conversation memory, and enrichment, regex-fallback conversation analysis when the LLM times out, hand-off logic between Engagement / Qualifier / Support / Booking, 22+ CRM integrations with bidirectional sync, omnichannel delivery across web, WhatsApp, Telegram and email, calendar booking with live-slot availability, prompt + scenario tooling for non-engineers, eval and regression infra for every prompt

How long does it take to go live?

Most teams ship within 2–5 days. You connect your CRM, upload your knowledge base, define your qualification criteria, and the agents are live. No engineering required.

Which CRMs do you integrate with?

Native integrations with HubSpot, Pipedrive, Salesforce, and AMO CRM. Custom integrations via open API and webhooks.

What happens to leads outside business hours?

All four agents run 24/7. Night-time leads are engaged, qualified, and offered a meeting slot the same way they would be at noon.

Who is Dashly built for?

B2B SaaS (MarTech, Sales Tech, HR Tech) and Real Estate teams with 50K+ monthly traffic, 1-month+ sales cycle, $500+ ACV, and an inbound motion. If you have SDRs today, we usually let you redeploy 1.5+ FTEs.

How is pricing structured?

SaaS subscription based on traffic volume, active leads, which agents you deploy, and integration depth. Mid-market teams typically start at $2,500/mo with 2–5 month payback.