Intent-signal lead scoring
dolv reads engagement signals across your connected tools and scores leads so your reps work the hottest accounts first — not a random inbox.
dolv scores your leads, drafts the outreach, books the follow-up and keeps the CRM current — grounded in your business, with nothing public sent until you approve it. An AI sales assistant that does the work, not just suggests it.
Not brittle if/then sequences — a grounded command center with 25+ tools that execute sales work across the apps you already use.
dolv reads engagement signals across your connected tools and scores leads so your reps work the hottest accounts first — not a random inbox.
compose_content, prepare_email and prepare_linkedin_post produce on-brand email and LinkedIn outreach — grounded by default in your company, playbooks and knowledge.
create_task queues the next step on the Kanban and schedule_calendar_event books the meeting on Google Calendar — so a reply never goes cold.
A full CRM plus an action layer that moves work through Gmail, Outlook, LinkedIn, Calendar, Docs and Sheets — records stay current as the AI works the deal.
Name an agent, give it a role and a model, and cap it at a monthly budget (default $250). Every run is logged — start, finish, duration, output and error.
Five attribution models and a correlation engine tie outreach to pipeline, so reps are judged on deals moved — not on how many emails went out.
The approval inbox (api/actions.ts action_queue) holds every external
send: prepared → approved → executing → done. Internal, reversible work runs now.
dolv doesn't stop at a suggestion. It scores, prepares, ships on your approval, then measures what the outreach actually drove.
Intent-signal lead scoring ranks the pipeline from live engagement, so the AI surfaces the account most likely to move next — with the reasons attached.
The grounded assistant drafts the email or LinkedIn touch, queues the follow-up task and books the meeting — every public send parked in the approval inbox.
You review and approve in one click. The real Gmail, Outlook or LinkedIn call runs, the linked task auto-closes, and the deal advances on the Kanban.
Multi-touch attribution and the correlation engine tie that outreach back to pipeline movement, then suggest the next best action against your North Star.
If you're an SMB founder, an SDR running outbound solo, or a small revenue team juggling a CRM, an inbox and a sequencer, dolv is the operator that pulls it together. One person reviews and approves work the AI prepared — scoring leads, drafting outreach, booking follow-ups and updating records — so a single seat moves pipeline like a full bench. It's an AI sales assistant with guardrails, not an autopilot that goes rogue.
Pair it with the AI CRM assistant for records and signal-based prioritization, browse the AI agents behind it, see the full execute-and-measure loop, or connect the work via the Gmail and LinkedIn integrations.
Funnel intelligence maps GA4 conversions to BOFU and correlates outreach activity with the downstream signals it moved.
dolv closes the loop with a unified TOFU/MOFU/BOFU funnel on a rolling 30-day baseline and a weighted health score, five attribution models, and a cross-metric correlation engine that surfaces lagged, plain-language cause → effect — which outreach moved which signal — with a suggested next action against your North Star and OKRs. So your AI lead generation and follow-up work is measured on deals moved, not emails sent. See the full picture on funnel intelligence, and learn how every draft stays on-brand on grounded AI.
How lead scoring, outreach, approvals, budgets and grounding work inside dolv.
dolv drafts and queues outreach, but every external send waits for your one-click approval. The AI prepares the work; you decide what actually goes out.
dolv includes a full CRM and adds the action layer on top — it scores leads, drafts outreach and updates records through your connected tools, so your contacts and deals stay current as the AI works.
Intent-signal lead scoring reads engagement across your connected tools — opens, page views, replies, meeting activity — and ranks the pipeline so reps work the highest-intent accounts first, with the signals shown.
Every draft is grounded in your company context, playbooks and knowledge by default through api/ai_context.ts, so outreach reads like your team wrote it — not a generic template.
Yes. Each agent has a monthly budget cap (default $250) with tracked spend and a full run history — started, finished, duration, output and any error.
Yes. Lean SMB teams use dolv as an AI sales assistant to score, draft, follow up and measure — without adding headcount or stitching together extra tools.
Connect your stack, point dolv at scoring, outreach and follow-up, and approve what ships — grounded in your business, with you in the loop. dolv it.