SQUAD 01Alpha Squad · Incident Response
Monitors AWS operational signals and supports triage, diagnosis, remediation, and verification.
Specialized AI agents organized into four squads—monitoring, securing, and optimizing your AWS infrastructure. Your team focuses on innovation; our agents support cloud operations.
* Simulation-based design target; not a live customer outcome.
Specialized AI agents organized into Alpha, Bravo, Charlie, and Delta support AWS monitoring, security, compliance, cost optimization, and operational learning.
SQUAD 01Monitors AWS operational signals and supports triage, diagnosis, remediation, and verification.
SQUAD 02Surfaces security findings and supports AWS security and compliance workflows with evidence for review.
SQUAD 03Identifies idle resources, rightsizing opportunities, and cloud-cost recommendations grounded in usage context.
SQUAD 04Brings operational reporting, runbooks, and incident knowledge together to support continuous improvement.
The eight OODA phases guide a single accountable operational decision workflow.
Model evaluation works inside policy, skill matching, and execution controls. HIGH and CRITICAL actions receive additional safeguards.
POLICY-GATEDHelixSpine is not the platform. It is the shared governance and orchestration layer underneath HelixCloudOps, supporting the squads with checks, policy, decision safeguards, evidence, and rollback.
Alpha · Bravo · Charlie · Delta
Governance and orchestration beneath the platform
Validate prerequisite state before an action is proposed.
Set manual gates to match severity and your risk tolerance.
Use deterministic skills and runbooks for repeatable work.
HelixModel evaluates actions within policy and execution controls.
Keep the decision, action context, and outcome together for review.
Reversible action chains help teams return to a known state.
From security and compliance to cost visibility and predictive signals, HelixCloudOps brings operational work into one AWS-focused platform.

Cloud operations workflows for AWS accounts. Azure and Google Cloud Platform support are planned for Q1 2027.

Surface cost, capacity, and infrastructure signals to help teams plan operational work.

Support continuous monitoring and evidence workflows across SOC 2, HIPAA, PCI-DSS, and CIS frameworks.
RUNTIME / AWSEVENT → CONTEXT → DECISION → TRACEHelixCloudOps connects to customer AWS accounts through IAM roles, with action context, execution trace, and rollback information available for review.
AWS-first for the initial launch phase. Product fit, account requirements, and pilot scope are confirmed with the team.
Watch the existing HelixCloudOps product walkthrough in its dedicated player.
Sign in to the product
Brian Alvarez is the Founder and CEO of AgenticFlowPro, the parent company behind HelixCloudOps. With a background in technology management and product strategy, he focuses on building practical cloud operations tools for engineering teams.
AgenticFlowPro’s vision is to make enterprise-grade cloud operations more accessible to mid-market engineering teams through AI-native products.
Evaluate on observed outcomes in your environment—not an unqualified benchmark.
Compare detection, triage, diagnosis, approval, execution, validation, and closure.
Track proposed, approved, blocked, and executed actions—and why they stopped.
Sample records for policy checks, rationale, trace, rollback metadata, and verification.
Compare time spent on recurring incident categories before and after onboarding.
Performance targets are simulation-based until validated in production.
Scope and safeguards, plainly stated.
HelixCloudOps is AWS-focused for the current launch phase. Azure and Google Cloud Platform support are planned for Q1 2027.
Tell us what your team is trying to control. We’ll route you to the right product conversation.