Reflex
AutoHeal Engine for Production that never sleeps, multifold your engineer team's capacity and control
The problem
The fix lives as tribal knowledge with one senior engineer, and the runbook that worked last time was never written down.
How Reflex solves it
- Turns an identified root cause into a runbook and grows an incremental runbook library from every rollout.
- What one senior engineer knows becomes something the whole team executes.
- Shadow mode simulates against the live system with no write provision.
- Guardrails hold hard limits on reasoning loops, tool-use depth and iterations.
payments-api · OOMKill auto-remediation
Trigger · Neuri diagnosis · confidence ≥ 85%
Execution mode
Actions
Revert deploy a3f9c2
restore memory limit 256Mi → 512Mi
Roll restart payments-api
3 replicas · surge 1, maxUnavailable 0
Verify recovery
OOMKill rate = 0 for 5 min
Post back to incident
attach actions to INC-4821
What changes once Reflex is in the loop.
Before Reflex
1.5 hrs
Time lost per fix
$8.3k
Budget burned monthly
Rare
Runbooks documented
1 engineer
Who knows the fix
Hope
Fix verification
After Reflex
90%
Faster remediation (MTTR)
$100k
Saved annually
Every rollout
Runbooks documented
Whole team
Who knows the fix
100% auto
Fix verification
Inside Reflex's reasoning
Diagnosis intake
Reflex picks up the confidence-scored root cause Neuri hands off — or a manually triggered incident — as the starting point for remediation.
Runbook reasoning
Builds a step-by-step remediation plan, AI-assisted or pulled from the incremental runbook library that grows with every prior rollout.
Shadow simulation
Every step dry-runs against the live system with no write provision first, logging the predicted diff before anything is touched for real.
Approval gate
The runbook is proposed in Slack or Teams with one-click approve/reject — nothing above the auto-run tier executes without a human sign-off.
Live execution & verification
Approved actions run for real, then Reflex verifies recovery and logs the outcome back to the incident timeline Regen is tracking.
Features and Capabilities
Workflow maker
AI-assisted and manual, both — attach runbooks to root causes so the fix is executed from the library instead of hand-written queries.
Adaptive learning curve
An incremental runbook library that keeps building each time a new reasoning is formed from a rolled-out fix.
Human in the loop
A quality-check layer — manual approval of runbook reasoning before it is added to the library.
Shadow mode
Simulation against the live system with no write provision. Runbooks and playbooks move to live only once approved.
Steering capability
Edit and redirect the reasoning and tool-usage steps, then execute the same fix iteratively by manual intervention.
Guardrails
Hard limits on reasoning loops, tool-use depth and iterations, token usage and LLM response bounds, so remediation stays inside bounds.
Tiered execution
Auto-run, requires-approval, or always-manual — you decide which tier each action type falls into, per service and per environment.
Verification loop
Every rollout is checked against the failure signal that triggered it — confirming the fix worked, or escalating if it didn't.
How accurate is Reflex
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
Kubernetes
Container & orchestration
Docker
Container & orchestration
Helm
Container & orchestration
AWS
Cloud
GCP
Cloud
Azure
Cloud
ArgoCD
Deployments
Flux
Deployments
GitHub Actions
Deployments
GitLab CI
Deployments
Terraform
Infrastructure as code
Pulumi
Infrastructure as code
Ansible
Infrastructure as code
Slack
Communication & approval
Microsoft Teams
Communication & approval
FluidifyAI Regen
Incident context
FluidifyAI Neuri
Incident context
PagerDuty
Incident context
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?
Reflex owns fixing the issue in the AI SRE Suite — find the fix, change config or code, roll it out and validate afterwards. It picks up a confidence-scored diagnosis from Neuri, turns it into an approved runbook, and logs the outcome back to the incident Regen is tracking.
Diagnosis into action
Watch the fix unfold, from your pocket.
Every action Reflex takes shows up live in the FluidifyAI app — status, evidence and outcome — the moment it happens. No laptop, no dashboard hunting. Just open the app and watch the resolution the way you'd watch a match.
Live status feed — every action moves from pending to verified in real time
No laptop required — follow the resolution from your phone, anywhere
Push notified the moment your approval is needed
FluidifyAICRITICAL · INC-4821
payments-api OOMKill cascade
Revert deploy a3f9c2
restore memory limit 256Mi → 512Mi
Roll restart payments-api
3 replicas · surge 1, maxUnavailable 0
Verify recovery
OOMKill rate = 0 for 5 min
Post back to incident
attach actions to INC-4821
Frequently asked questions
Reflex ships on the Business tier at $200/month alongside Gills, and on Enterprise. Setup comes with dedicated Forward Deployment Engineer support.
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