What is OpsCompanion

As AI tools accelerate software delivery, operational risk is compounding. OpsCompanion is an AI SRE that ensures velocity never outpaces understanding.

The Problem

AI coding tools have dramatically increased deploy velocity. Teams ship faster than ever. But the systems that are supposed to keep up, review capacity, institutional memory, change awareness, have not scaled at the same rate.

The result:

• Changes reach production without full understanding of what they affect
• Operational context is scattered across tools, people, and tribal knowledge
• Incidents take longer to resolve because no one has the full picture
• Teams react to symptoms instead of preventing failure

Every deploy that outpaces understanding is compounding operational risk.

How It Works

1. Connect your cloud providers and development tools (AWS, GCP, Azure, GitHub, Vercel, and more)
2. Ingest continuously. OpsCompanion tracks resources, relationships, changes, and AI agent actions across your stack.
3. Investigate with an AI agent that knows your infrastructure. Understand changes, trace issues, and see the full downstream impact before anything ships.
4. Take action from diagnosis to resolution with clear next steps, all in one place.

Each integration uses read-only access. OpsCompanion observes your systems without modifying them.

Operational Memory

No one can build great tools without a deep understanding of the systems they run on. OpsCompanion builds that understanding as persistent, compounding memory: what changed and why, how past incidents were resolved, patterns across deployments and services, and context that would otherwise live only in people's heads.

This memory empowers your internal teams today by making operational context searchable, queryable by the AI agent, and available to everyone. When someone new joins, they inherit the understanding the team has built, not a blank slate. Over time, this same memory layer extends to the external tools and agents operating inside your stack, so that every system acting on your infrastructure has the context it needs to act safely.

Use Cases

• Incident investigation - Follow connections and changes to find root causes faster
• Change impact - Know what a change touches and why it matters before deploying
• Cost analysis - Track cloud spend, catch anomalies early, and identify optimization opportunities
• Pattern detection - Surface recurring issues and trends across your stack
• Onboarding - New team members can explore and understand without asking dozens of questions

What Makes It Different

Most reliability tools surface signals: alerts, metrics, logs. OpsCompanion surfaces understanding.

The current wave of AI SRE tools is built around a narrow assumption: that the primary problem in reliability is how fast you respond. These systems focus on faster detection, faster triage, faster remediation.

But speed is not the bottleneck.

Most incidents are not caused by missing alerts or slow humans. They are caused by changes made without understanding: unknown dependencies, unclear ownership, and no visibility into what a change actually touches. As AI tools accelerate delivery, this gap widens. More changes ship, but review capacity and institutional memory stay flat.

OpsCompanion uses AI where it actually helps reliability:

• Building and maintaining operational context across your entire stack
• Preserving memory so understanding compounds instead of resetting with each incident
• Tracking changes, including those made by AI agents, so nothing reaches production without context
• Showing impact before changes are deployed

This is not about reacting faster. It is about ensuring that velocity never outpaces understanding.

Next Steps

• Quick Start - Get connected in minutes
• How It Works - Understand how OpsCompanion tracks your stack