AI AutomationProblem → system → impact

Workforce Second Brain Automation Layer

A controlled company-memory layer for Workforce that connects meetings, Slack approvals, WhatsApp/Spott communication, and a Git-backed knowledge vault. It turns approved operational signals into sanitized Markdown knowledge while keeping source systems authoritative.

Best for

Operations teams that need reviewed company memory

Business impact

Controlled knowledge vault

Workforce Second Brain Automation Layer interface

01 · The problem

Client challenge

The operational constraint.

Workforce needed a controlled company-memory system that could capture useful operational signals from meetings, review flows, candidate communication, and CRM activity without letting unapproved or sensitive raw data become durable knowledge.

02 · The solution

What Orkestra built

A system designed around the work.

Orkestra built a Workforce Second Brain automation layer connecting Fathom meeting intelligence, Slack review and approval flows, WhatsApp and Spott candidate communication, and a Git-backed Workforce vault. Approved signals are sanitized into Markdown knowledge, while source systems remain authoritative.

Key capabilities

Fathom meeting intelligence ingestion and signal extraction

Slack interactivity for review and approval before durable updates

WhatsApp and Spott candidate communication integration

Sanitized Markdown knowledge generation for the Workforce vault

Git and GitHub pull request workflow for controlled company-memory changes

Services built with Next.js, Node.js, Go, Docker, SQLite, n8n, and Gemini

03 · The results

Business impact

Controlled knowledge vault.

The company gained a governed second-brain layer instead of an uncontrolled data dump. Durable knowledge updates now pass through review, source systems stay authoritative, and approved operational context becomes searchable Markdown in the Git-backed vault.

04 · Stack used