The problem
During an incident, engineers burn precious minutes jumping between dashboards, log viewers, and chat threads just to piece together what happened.
How Gills solves it
- Ask Gills in plain English — “What caused the latency spike on checkout at 3am?”
- It queries Neuri, Regen, and your observability stack for you.
- Returns one structured answer, sourced and cited.
- Approve a proposed action right from the same conversation.
Ask Gills
INC-4821 · payments-api OOMKill cascade
What caused the latency spike recently?
Gills
Deploy a3f9c2 cut the payments-api memory limit from 512Mi to 256Mi. The container OOMKilled under normal load, taking all 3 replicas into a restart cascade — p99 went 120ms → 2.4s.
Suggested
What changes once Gills is in the loop.
Before Gills
20 min
Time lost per question
$4.2k
Budget burned monthly
4-5
Tools jumped between
On-call only
Who has access
Manual digging
Answer sourcing
After Gills
90%
Faster answers
$50k
Saved annually
1 — just ask
Tools jumped between
Whole team
Who has access
Cited & structured
Answer sourcing
Inside Gills's reasoning
Question intake
Ask in plain English from Slack, Microsoft Teams, or the web console — no query language, no specific dashboard to remember.
Intent routing
Gills classifies what's actually being asked and routes it to Regen, Neuri or Reflex — the reactive layer running across all three modules.
Structured retrieval
Queries the right module and observability stack for exactly what's relevant, instead of returning a wall of raw logs.
Grounded answer
Returns one structured answer with sources cited — the RCA, runbook, or timeline entry it came from — never an ungrounded guess.
Gated action
If the answer implies an action — rollback, restart, escalate — Gills proposes it and executes only after explicit confirmation, behind separate read/write gates.
Features and Capabilities
Conversational workflow maker
AI-assisted and manual, both — attach runbooks to root causes from the conversation itself.
Active learning curve
An incremental RCA playbook and runbook library that keeps building each time a new reasoning is formed from the chat interface.
Reactive action layer
On-demand RCA engine execution and runbook library execution by chat, behind separate read and write access gates.
Source-cited answers
Every answer links back to the exact RCA, runbook, or incident timeline entry it was pulled from.
Cross-module routing
One interface across Regen, Neuri and Reflex, so you never have to open any of them directly.
Redaction
PII and secure information masking — email, name, IP, phone number — so nothing sensitive leaks to the LLM.
Guardrails
Hard limits on reasoning loops, tool-use depth and iterations, token usage and LLM response bounds.
Evaluation benchmarks
Accuracy gates with confidence scores — 80% reasoning accuracy when all reasoning prerequisites are provided.
How accurate is Gills
80%
Accurate
Integrated with the production tools.
Human in the loop
Every RCA and runbook reasoning undergoes Quality check with manual approval before it enters the library.
Steering capability
Edit and redirect the reasoning and tool-usage steps, then re-execute to sharpen the result.
Guardrails
Hard limits on reasoning loops, tool-use depth and iterations, token usage and LLM response bounds.
Redaction
PII and Sensitive information masking. Strict data governance preventing data leakage to LLM.
Evaluation benchmarks
Accuracy gates with confidence scores and validation benchmarks.
Shadow mode
Simulate against the live system with no write provision. Runbooks and playbooks move to live only once approved.
Connects to your entire stack
FluidifyAI Regen
Suite
FluidifyAI Neuri
Suite
FluidifyAI Reflex
Suite
Prometheus
Metrics
Datadog
Metrics
CloudWatch
Metrics
New Relic
Metrics
Loki
Logs
Elastic / ELK
Logs
Datadog Logs
Logs
Jaeger
Traces
Tempo
Traces
Datadog APM
Traces
Kubernetes
Infrastructure
AWS
Infrastructure
GCP
Infrastructure
Azure
Infrastructure
Built to be trusted with production
Bring Your Own Key (BYOK)
Bring your own LLM key, with multi-vendor multi-model support.
Data Leakage Prevention
PII and Sensitive information masking with strict data governance layers.
Multiple Deployment Options
On-prem, Air-gapped and Private Cloud, Managed Cloud SaaS Deployments, configured and validated by a dedicated Forward Deployment Engineer.
Access Control and Auditing
RBAC, MFA, Custom SSO/SCIM provisioning and Audit trails
Compliant on
Deploys to
Where does it sit in the Suite?
Gills owns communicating with ownership in the AI SRE Suite — communicate, collaborate and replicate the issue. It is the only reactive layer, running across Regen, Neuri and Reflex so you don't have to open any of them directly.
Ask, in plain English
Frequently asked questions
Gills ships on the Business tier at $200/month alongside Reflex, and on Enterprise. Setup comes with dedicated Forward Deployment Engineer support.
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