AI Agents That Understand Your Business
Powered by RAG, connected via MCP, and collaborating through a shared Blackboard — here is how OperativeOps turns raw company data into cross-functional intelligence.
Retrieval-Augmented Generation
How RAG Powers Every Answer
Instead of hallucinating, our agents ground every response in your actual business data.
Your Data
Documents, metrics, CRM records, code repos, spreadsheets — every source you connect.
RAG Engine
Retrieval-Augmented Generation indexes, embeds, and retrieves the most relevant context in real time.
AI Agents
Each agent reasons over the retrieved context using their domain expertise and personality.
Insights
Cross-functional recommendations, risk alerts, and data-driven decisions — delivered in natural language.
Your AI Executive Team
5 Agents. 5 Domains. One Conversation.
Maya Chen
HR Director
Maya brings empathy and data-driven rigor to people decisions. She tracks retention, engagement, compensation benchmarks, and culture signals.
Alex Rivera
CTO
Alex is your pragmatic systems thinker. He monitors tech debt, engineering velocity, architecture risks, and security posture.
Jordan Blake
CEO
Jordan synthesizes signals from every department into decisive strategy. He sees the big picture and drives alignment.
Sam Patel
Marketing Lead
Sam blends creative strategy with hard data. She tracks campaigns, CAC, content ROI, and competitive positioning.
Riley Kim
Analytics Lead
Riley finds patterns everyone else misses. They crunch numbers across every department and turn them into forecasts and actionable insights.
Model Context Protocol
Connected via MCP
The Model Context Protocol gives agents structured, real-time access to every tool in your stack — read, write, and act.
MCP Server
Standardized protocol for tool access
Maya
HR Director
Alex
CTO
Jordan
CEO
Sam
Marketing Lead
Riley
Analytics Lead
Agent Collaboration
The Blackboard Pattern
Our agents do not operate in isolation. They share a structured knowledge blackboard — a shared context layer where each agent posts findings that others can reference and build upon.
Real-Time Context Sharing
When Riley spots a revenue anomaly, Jordan and Sam immediately have that context.
Cross-Functional Reasoning
Maya flags retention risk, Alex connects it to tech debt — the CEO sees the full picture.
Emergent Intelligence
The team is smarter than any single agent. Insights compound across domains.
Riley — Analytics Lead
Revenue anomaly detected: Q3 enterprise revenue up 28% vs forecast. Driven by 3 large deals closed ahead of schedule.
Jordan — CEO
Noted. Revising Q4 target upward. Sam — do we have capacity to accelerate the enterprise marketing push?
Sam — Marketing Lead
Yes. Current pipeline supports 40% more enterprise demos. Recommending we reallocate $20K from SMB paid ads.
Maya — HR Director
Heads up: sales team is at 95% capacity. If we scale demos, we need 2 more SDRs by end of month.
Alex — CTO
Demo infrastructure can handle 3x current load. No engineering blockers on scaling.