Workflow library
Sales automations
Get leads to the right person fast and keep deals moving. 10 workflows, each linked to a real public source, with architecture, tools and human checkpoints.
End-to-end systems
Starts from your best customers and ends with booked meetings.
6 stagesInbound lead agent with voice follow-upEvery inbound lead is researched, qualified into a typed label, and gets a drafted reply approved in Slack.
5 stagesCall intelligence systemEvery sales call is prepped by an agent, turned into structured CRM fields afterwards, and added to a won/lost corpus that answers messaging and competitor questions in Slack.
6 stagesClosed-lost and competitor displacement engineMines your CRM and public data for accounts you can win back or take from a competitor, researches each one, and writes outreach that references the real history.
Building blocks
Every inbound form fill gets a deep-research pass on the person and company, a structured qualification verdict, and a drafted reply.
AI voice agent that calls new leads within minutesISpeedToLead: lead response time cut from about 100 minutes to under 5; 20–30 demos booked weekly by AI callsWhen a lead signs up, a voice agent calls them within a couple of minutes, asks one or two routing questions, and either texts a booking link or hands over to a rep.
Signal-based outbound with governed AI researchSaviynt: 60% of reps booked more qualified meetings, with a $32.2M increase in pipeline (as reported by Clay)Ops builds enrichment and contact-finding workflows once (waterfall across many data vendors); reps call them from the AI chat they already use to get account context, buying signals and verified contacts..
Closed-lost "wake the dead" campaignSendoso: 16 meetings, 23 leads and a closed deal within two weeks of launch, at a 75% open rate and 11% response ratePull last year's closed-lost deals and stalled meetings, have an LLM summarise why each prospect originally engaged from the pre-call notes, then send a short personal email that references the AE, the last meeting and that reason..
Competitor displacement research across your TAMA-LIGN replaced a $60K/year manual research contract; 2,000 accounts researched, 1M+ data points, and $6.8M pipeline generated or identified in 6.5 months (as reported by Clay)For every target account, an AI web-research step checks which of your service categories they use, why, and which competitor provides it, then writes the answers into CRM fields reps can filter on..
Sales call transcripts to CRM fieldsAfter each recorded call, the transcript is filtered by deal stage, summarised, and specific fields (pain, competitors, next steps, objections) are written to the opportunity.
Pre-call account brief in SlackBefore each customer or prospect call, AI reads the HubSpot record, researches the company, lists the automation challenges they are likely facing, and posts a short brief to the rep in Slack..
Executive LinkedIn engagement to ABM pipelineWhen someone from an ideal-customer account engages with an executive's LinkedIn post, a webhook sends the lead into a workflow that enriches, filters on qualification criteria, and stores qualified leads for sales follow-up..
Win/loss bot over your call transcriptsA chat bot grounded in transcripts from deals you won and lost upmarket.
Lead enrichment and routing in SlackNew HubSpot contacts or Slack-posted domains are enriched with firmographics, scored against your ICP and replied to in-thread with a summary, so the right rep picks them up..
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