AI agents built for revenue teams. Each agent is deployable inside your existing stack — CRM, enrichment, automation, and reporting — with a clear trigger, data source, and output.
Monitors target account lists for buying signals — job posts, funding events, tech stack changes, leadership moves.
Takes a content piece and adapts messaging, subject lines, and CTAs for different ICP segments and buyer personas.
Traces pipeline and revenue back to marketing touches. Multi-touch attribution with configurable models.
Tracks competitor pricing changes, feature launches, job posts, and content. Weekly digest with strategic implications.
Fires after an event. Scores attendees against ICP, personalises follow-up sequences, routes hot leads to sales.
Generates content briefs from target keywords with SERP analysis, competitor content gaps, and structured outlines.
Scores inbound and enriched leads across firmographic fit, engagement signals, timing, and GTM maturity gap.
Takes enriched prospect data and generates personalised first-touch emails using signal-triggered hooks.
Classifies inbound replies as interested, objection, not now, wrong person, or unsubscribe. Routes automatically.
Fires when a meeting is booked. Generates a one-page brief: company overview, signals, tech stack, talk track.
Monitors open rates, reply rates, and positive response rates across sequence variants. Flags underperformers.
Validates emails, detects job changes, flags stale contacts, deduplicates across CRM and outbound tools. Runs nightly.
Monitors active deals for risk signals — stalled stages, missing MEDDPICC fields, single-threaded contacts.
Processes call recordings into structured debriefs: key topics, objections, next steps, MEDDPICC updates, CRM writes.
Generates tailored proposals from deal context, product fit, and pricing parameters.
Compares rep forecasts against outcomes. Identifies over- and under-forecasters, adjusts weighted pipeline.
Maps the buying committee from CRM contacts, email threads, and call transcripts. Flags single-threading risk.
Generates competitive positioning cards when a deal flags a competitor. Includes objection handling and win/loss analysis.
Auto-generates quarterly business review decks from CRM data, usage metrics, support tickets, and expansion signals.
Tracks product usage, support volume, NPS trends, and engagement frequency. Flags at-risk accounts early.
Identifies upsell and cross-sell opportunities from usage patterns, team growth, feature adoption, and renewal timelines.
Synthesises support tickets, call transcripts, NPS comments, and review sites into structured product feedback loops.
Fires on closed-won. Creates onboarding project, assigns tasks, schedules kickoff, sets up health monitoring.
Predicts renewal probability based on health score trajectory, stakeholder engagement, support sentiment, and usage trends.
Every agent above is buildable inside your existing tools. Start with a diagnostic and we’ll scope the right deployment.