The Agentic Sales Engine by Crono
AIExecution layer for B2B sales that unifies signals, data, workflows and AI agents to coordinate prospecting, enrichment, outreach, and follow-ups.
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Free Available
Starting from Free
Premium plans available
The Agentic Sales Engine by Crono
AI
Execution layer for B2B sales that unifies signals, data, workflows and AI agents to coordinate prospecting, enrichment, outreach, and follow-ups.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About The Agentic Sales Engine by Crono
Crono is an execution platform for modern B2B sales that combines real-time signals, customer and account data, configurable workflows, and autonomous AI agents to run coordinated sales work. It enables humans and agents to operate side-by-side so prospecting, enrichment, outreach, and follow-ups are executed as unified workflows rather than isolated tasks. By centralizing signals and automating repetitive execution while preserving human oversight, Crono aims to prioritize high-value accounts, engage at the right time, and convert execution into revenue instead of relying on volume-first approaches.
Screenshots
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Key Features
Unified Signal Layer: Aggregates real-time account and prospect signals into a single stream so teams and agents can act on timing-sensitive events rather than static lists.
Coordinated Workflows: Creates multi-step workflows that orchestrate prospecting, enrichment, outreach, and follow-ups as connected sequences executed by humans and agents together.
Human-Agent Collaboration: Enables AI agents to perform automated tasks (e.g., enrichment, drafting outreach) while routing decisions and approvals to sales reps for contextual, human-controlled execution.
Enrichment and Data Consolidation: Automatically enriches contact and account records from available data sources to provide up-to-date context for outreach and qualification.
Signal-Driven Engagement: Prioritizes and triggers outreach based on real-time signals so teams engage the right accounts at optimal moments, reducing volume-first approaches.
Execution Tracking and Handoff: Tracks workflow progress and handoffs between agents and humans, ensuring accountability and continuity across multi-step sales activities.
Configurable Playbooks: Lets teams design and reuse playbooks that codify best-practice sequences (prospecting → enrichment → outreach → follow-up) tailored to segments or accounts.
Integration-Focused Architecture: Connects with data sources and sales systems to centralize information and make enriched context available within execution workflows.
Unifies signals, customer data, and workflows into a single execution layer
Coordinates prospecting, enrichment, outreach, and follow-ups as integrated workflows
Supports human-agent collaboration where agents and sales reps execute tasks together
Acts on real-time signals to prioritize and engage accounts at the right time
Transforms execution activities into revenue-focused workflows
Use Cases
Targeted Prospecting: Run signal-driven prospecting workflows that surface accounts showing buying intent, enrich contact data, and queue personalized outreach tasks for reps.
Automated Enrichment at Scale: Continuously enrich CRM records and account profiles via agents, ensuring outreach is based on current data without manual research.
Coordinated Outreach Campaigns: Execute multi-step outreach sequences where agents draft messages, schedule sends, and alert reps for bespoke follow-ups or approvals.
Follow-up Automation with Human Oversight: Automatically schedule and execute follow-ups based on engagement signals while routing complex replies to salespeople.
Account-Based Engagement: Prioritize and orchestrate actions across multiple stakeholders in target accounts, aligning tasks and messaging across the buying committee.
Improve GTM Execution Metrics: Convert execution into measurable revenue by reducing wasted volume outreach and focusing resources on high-signal accounts and moments.
Operationalize Playbooks: Deploy repeatable sales playbooks that combine automated tasks and human steps to increase consistency and speed of execution across teams.
Automated prospecting combined with human review to surface high-quality leads
Data enrichment workflows to improve contact and account profiles before outreach
Coordinated multistep outreach and follow-up sequences executed by agents and reps
Account-based engagement triggered by real-time buying signals
Operationalizing sales execution to increase conversion and revenue
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