The AI DevOps teammate built on real infrastructure knowledge
From scattered data to structured, AI-ready intelligence
B.O.R.I.S sits on top of a unified intelligence layer that connects and structures engineering data across your entire stack.
Logs, metrics, configurations, tickets, repositories, and deployment history are correlated into a single, contextual knowledge graph.
This allows B.O.R.I.S to understand what changed, where, when, and why, before he responds.
Dev 1:20pm
@Boris Gateway returned a 504 error. What's going on?
Boris 1:21pm
CPU usage on Gateway pod spiked to 95% at 03:22. Restarting resolved the issue.
Dev 1:22pm
@Boris Great thanks for the insight!
Answers infrastructure questions with evidence
Finds root causes, not guesses
Recommends safe, guard-railed fixes
Automates routine DevOps work, with human approval
Preserves critical engineering knowledge automatically
How teams use BORIS in real DevOps workflows
From incident response to everyday
infrastructure questions
Incident investigation
B.O.R.I.S correlates deploys, logs, metrics, and config changes to find the root cause fast.
Assisted troubleshooting
Don't worry about providing context. Just ask - B.O.R.I.S already knows what you're working with.
Knowledge preservation
Nothing is lost when people leave. B.O.R.I.S remembers how things were built and why.
Reducing DevOps bottlenecks
Anyone on the team can get answers without pulling engineers away from real work.
Dev 3:45pm
@Boris What is the account ID for the aws management account?
Boris 1:21pm
Content Gathering Process
- ✓ Analyzing question (5.1s)
- ✓ Coordinating context (1.3s)
- ✓ Searching AWS resources (2.6s)
- ✓ Searching GitHub repositories (5.5s)
- ✓ Looking up team members (3.2s)
- ✓ Analyzing context gaps (3.1s)
- ✓ Finalizing context (2.2s)
Passing context to the agent
Tokens: 8205 in/ 1135 out
Agent finished process
Hi Andrey - The AWS account management ID is 471112825 (account name: Andrey2026)
Dev 3:45PM
@Boris Where do we have GaurdDuty and IAM Identity Centre configured?
Dev 3:45PM
@Boris How is the vote service doing?
Dev 3:45PM
@Boris How is the vote service doing?
How B.O.R.I.S delivers accurate answers without speculation
Context first. Automation second.
Always grounded in reality.
Step 1:
Connect your infrastructure
B.O.R.I.S connects to your existing systems, including cloud platforms, monitoring tools, ticketing systems, repositories, and configuration sources.
Step 2:
Structure engineering data
B.O.R.I.S indexes and organizes your infrastructure into a knowledge graph - accounts, services, dependencies, configurations, and deploy history - so it knows what you have and where it lives.
Step 3:
Ask questions in your workflow
Tag B.O.R.I.S in a Slack thread - alongside your team, in the middle of a conversation. No context-switching, no separate tool. Everyone sees the same answer.
Step 4:
Evidence-based responses
Every answer comes with an executive summary and the raw evidence behind it - tool outputs, API calls, log data - so you can validate the conclusion yourself.
Step 5:
Learn and improve
B.O.R.I.S continuously updates its knowledge graph - tracking changes, resolved incidents, and infrastructure evolution - so answers get better over time, not stale.
From the co-
founder
"We built B.O.R.I.S because we lived the problem. As engineers, we spent too many hours searching through logs, re-discovering tribal knowledge, and firefighting incidents that could have been resolved in minutes with the right context. B.O.R.I.S is the tool we always wished we had - one that remembers what your team already knows and delivers answers grounded in evidence, not guesswork."