Do we need engineering resources to configure workflows?

No. The engine is configured through the platform interface, not code. Trigger conditions, decisions, and action nodes are composed visually. The technical architecture operates underneath. Operations teams configure what should happen. The engine handles when and how.

How does the engine handle errors or agent failures?

Each agent operates independently with built-in error handling. If a research agent fails, the engagement agent continues with best available information and logs the failure. The architecture ensures a failure in one branch does not cascade to other branches.

Can new agents be added without rebuilding workflows?

Yes. New agents can be spawned for new functions as requirements evolve. The inventory grows as the system encounters new scenarios. Existing workflows incorporate new agents without rebuild.

Platform Capability

Agent Farms That Encode Your Strategy and Evolve

A visitor from a target account starts a conversation about pricing. Two minutes in, they mention a competitor by name. The engagement agent detects the mention and triggers a research agent.

The research agent pulls competitive positioning specific to that competitor and the pricing context. The engagement agent incorporates the differentiation into the response.

The visitor sees a seamless, informed answer. Nobody built a "competitor mention on pricing page" branch. The agents composed the workflow in real time based on what happened.

KEY CAPABILITIES

How Composable Workflows works

DAG-based workflow engine that composes specialized agents into dynamic, context-aware orchestration without predetermined paths.

DAG Architecture

Graph-based composition where workflows branch, merge, and compose without circular dependencies. Each node operates independently.

Arbitrarycomplexity supported

Visual Configuration

No-code composition through platform interface. Operations teams configure what should happen. Engine handles when and how.

Zeroengineering required

Real-Time Composition

Agents compose in real time based on context. New scenarios trigger new agent activation without workflow rebuilds.

Real-Timeagent composition

Stack Integration

Bidirectional integration with Salesforce, Marketo, 6sense, Demandbase, email, and enrichment APIs. Data flows in, actions flow out.

Multi-Stackintegration

HOW IT CONNECTS

Part of a larger orchestration

Composable Workflows is the central nervous system orchestrating all platform capabilities.

Engagement

Gen AI Chat

Engagement agent. Engagement decisions trigger other agents based on context.

Research

Prospect Research

Research agents compose on demand. Triggered by meeting schedules or engagement patterns.

Orchestration

Sense-Think-Act Loop

Workflows operationalize the orchestration loop at scale, across all visitors.

FOR YOUR ROLE

What Composable Workflows means for you

MOPs / RevOps

This is the workflow engine that replaces rigid automation in your MAP. Compose workflows from agents. When strategy changes, recompose. No rebuild.

Learn more

CMO

The engine makes website revenue activation operationally possible. You interact with its outputs: better conversations, better routing, better data.

Learn more

For the VP Engineering

Real-time signal processing. Standard API integrations. The engine is designed for the technical rigor that enterprise engineering teams expect.

PROOF POINTS

The numbers behind Composable Workflows

49%

martech utilization

down from 58% in 2020. Rigid automation wastes investment.

Gartner, 2025

28%

of time selling

Average sales rep spends only 28% of time actually selling.

Salesforce, 2024

0 Code

to configure

Compose workflows from agents and decision nodes. When strategy changes, recompose.

Want to see this in action?

Get a prototype built on your website, or book a conversation with our team.

Talk to Us

Frequently Asked Questions

: No. The engine is configured through the platform interface, not code. Trigger conditions, decisions, and action nodes are composed visually. The operations team configures what should happen. The engine handles when and how.
: Each agent operates independently with built-in error handling. If a research agent fails to retrieve data, the engagement agent continues with best available information and logs the failure. A failure in one branch does not cascade to other branches.
: Yes. New agents can be spawned for new functions as requirements evolve. The inventory grows as the system encounters scenarios that existing agents don't cover. Existing workflows incorporate new agents without rebuild.
: Traditional MAPs use linear flowcharts with predefined paths. Composable Workflows use DAG (directed acyclic graph) architecture where workflows branch, merge, and compose without circular dependencies. Each node operates independently and passes output to other nodes, enabling arbitrary complexity without brittleness.