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Multi-Agent Business System

A coordinated swarm of specialist agents — sales, finance, ops, support — sharing memory and tools to run end-to-end workflows.

OrchestrationAutonomousWorkflows
Multi-Agent Business System
Industry
Operations
Sector
Business Automation
Year
2025
Country
United States
Niche
Agentic Workflows & Orchestration
Team
8 — 3 AI engineers, 1 designer, 2 full-stack, 1 SRE, 1 PM
Technologies
CrewAILangGraphRedisTemporal
Project Overview

The full story

The client wanted to grow revenue 3x without doubling headcount. We mapped 47 cross-departmental workflows — quote-to-cash, supplier onboarding, refund disputes — and ranked them by automation feasibility and dollar impact.

The system is a CrewAI graph of specialist agents (Sales, Finance, Ops, Support, Legal) sharing a semantic memory layer in Redis. Temporal handles durable execution, retries and rollbacks. Each agent has scoped tool and data permissions, and high-risk steps (anything moving money or sending external comms) pause for a human checkpoint with a one-click approve/edit/reject UI.

Eighty-four percent of in-scope workflows now run end-to-end without human intervention, freeing roughly 320 hours per week. The orchestration layer has become the company's system of record for how work actually flows — a side benefit nobody predicted.

01 · The Challenge

What stood in the way

A scaling SMB needed back-office leverage without doubling headcount; single-agent tools couldn't reason across departments.

02 · The Solution

How we shipped it

We built a CrewAI-orchestrated graph of specialist agents with a shared semantic memory, durable execution via Temporal and human-in-the-loop checkpoints.

Project Showcase

Inside the product

Agent orchestration graph — sales, finance, ops, support
Live workflow run with durable execution timeline
Human checkpoint — approve, edit or reject high-risk steps
Shared semantic memory layer

Designed for clarity. Built to scale.

03 · The Outcome

Results that moved the business

−320
Back-office hours / week
84%
Workflow autonomy
−71%
Errors vs. baseline
4 months
Payback period
04 · Key Features

What we built

✓

Visual workflow & agent graph editor

✓

Durable execution with retries & rollbacks

✓

Per-agent tool & data permissions

✓

Human checkpoints on high-risk steps

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