AI AutomationEnterprise Operations / SaaS

OpsGenie AI — Multi-Agent Enterprise Operations Hub

Domain / Scope
Enterprise Workflow / Multi-Agent Hub
Year
2026
Duration
10 weeks
Primary metric
60% admin time saved
60%
Reduction in per-employee administrative overhead time
500+
Employees actively supported across internal operational workflows
4 min
Median turnaround from meeting conclusion to structured Slack digest
94%
Action item capture accuracy versus manual human meeting notes
4
Specialized agents running coordinated autonomous workflows
99.9%
System reliability on message and event processing queues

The Problem

System Bottlenecks & Technical Friction

Multi-division enterprises and professional services firms expend significant senior capacity on routine administrative friction: transcribing calls, writing action item summaries, chasing project approvals, and manual status reporting across fragmented tools. Conventional workflow automation tools are brittle and fail to handle unstructured human communications. Organizations need context-aware multi-agent systems that extract decisions, track tasks, and automate internal handoffs.

Our Engineering Approach

Architecture Design & Implementation

OpsGenie AI is a multi-agent operations platform coordinating four specialized agents. A Meeting Agent transcribes calls via OpenAI Whisper and generates structured summaries (decisions, owners, blockers) with Claude within 4 minutes. A Delegation Agent monitors project milestones and triggers context-aware follow-ups. An HR Agent automates routine requests conversationally in Slack. The Next.js + Supabase command dashboard delivers real-time cross-team velocity metrics.

Technical Architecture

System breakdown & stack.

8 core subsystem modules
01

LangChain multi-agent orchestrator coordinating 4 specialized agents with shared memory context

02

OpenAI Whisper real-time meeting transcription with speaker diarization via pyannote.audio

03

Claude API for structured summarization, action item extraction, and HR request interpretation

04

Slack API for conversational agent interface and automated channel posting

05

Google Calendar + Zoom webhooks for automatic meeting session detection and recording

06

Notion API for structured meeting note and project documentation sync

07

Supabase (PostgreSQL + realtime) for cross-firm task tracking and agent state persistence

08

Next.js command dashboard with Supabase realtime subscriptions for live operations data

Claude APIOpenAI WhisperLangChainNext.jsSupabaseSlack APIGoogle Calendar APINotion API

Engagement Timeline

Engineering delivery schedule.

Total: 10 weeks
Weeks 1–2

Slack, Google Calendar, Zoom, and Notion API integrations; agent architecture design

Weeks 3–5

Meeting Agent: Whisper transcription pipeline, Claude summarization, Slack/Notion auto-post

Weeks 6–7

Delegation Agent with context-aware reminder engine; HR Agent conversational workflow

Weeks 8–9

Next.js command dashboard, Supabase realtime data layer, cross-firm analytics views

Week 10

Rollout across 500 employees in 3 firms, training sessions, feedback integration

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