From autonomous incident resolution to cross-border transactional intelligence — see how aurintai transforms operations across industries, with the depth and rigor you'd expect from a platform built for the world's most regulated enterprises.
Every solution follows the same rigorous structure: the challenge you face, the aurintai approach, the capabilities we deploy, the outcomes you can expect, and the resources to go deeper.
From Alert to Resolution, Governed by Your Rules
Your NOC is overwhelmed. Alerts flood in from 15+ tools. Engineers spend hours correlating symptoms with context from GitHub, Jira, and ServiceNow. Mean time to resolution stretches into hours while customers churn. And when you try AI, you can't see what it thinks or control what it does.
Accelerate AI deploys A2A-orchestrated agents that autonomously detect anomalies, correlate them with DevOps context, query your knowledge base, and execute remediation runbooks — all governed by your Policy-as-Code rules. Every reasoning step is inspectable. Every high-impact action routes through real-time operator approval.
GenAIOps for Global Banking Infrastructure
Global banks operate 900+ applications across high-volume cross-border corridors, processing 100 trillion telemetry data points monthly. SRE teams spend 2+ hours manually diving through logs to diagnose clearing anomalies — RTGS maintenance windows, weekend shifts, holiday mismatches. Legacy Hadoop lakes and modern lakehouses stall under this hyper-scale, creating massive write-amplification and storage latency.
Augmented Analyst is an event-driven, API-first GenAIOps streaming overlay that operates entirely out-of-band and read-only. It ingests real-time metadata from SWIFT gpi, FAST, RTGS, and regional settlement rails. Containerized SLMs and multi-agent orchestrations via LangGraph, paired with a Neural Precedent Reranker, filter out infrastructure noise and isolate clearing anomalies with 94%+ diagnostic accuracy — compressing 2-hour manual troubleshooting into 2-second plain-language briefs.
Govern Autonomous AI with Version-Controlled Rules
Regulated industries can't let AI agents act without governance. But most AIOps platforms offer opaque AI with no policy framework, no version control, and no audit trail. Compliance teams reject them outright. Security teams can't sign off. And when regulators ask "why did the AI do that?", you have no answer.
Accelerate AI's Policy-as-Code layer lets you define operational policies, compliance rules, and guardrails as version-controlled YAML/JSON. Every agent action is evaluated against your policies before execution. Pre-built templates for SOC 2, GDPR, HIPAA, FedRAMP, and PCI-DSS. Policy changes are tested in staging before production deployment.
Improve Deployment Frequency, Lead Time, MTTR, and Change Failure Rate
Your engineering teams deploy frequently, but you lack visibility into how deployments impact system health. DORA metrics are manually tracked in spreadsheets. You can't correlate a deployment with the incident it caused. Engineering leadership makes decisions based on gut feel, not data. And when you try to improve, you don't know where to start.
Accelerate AI provides real-time DORA metrics with automatic correlation between deployments and subsequent system behavior. Track all four DORA metrics in a unified dashboard with team-level and service-level breakdowns. Identify which services drag down your metrics. Set automated guardrails that block deployments when change failure rate spikes.
Datadog, PagerDuty, and incident.io are excellent tools — for teams that can send their data to the cloud. If you need air-gapped deployment, data residency, or policy-governed AI, only aurintai delivers.
How aurintai stacks up against the incumbents on the dimensions that matter for regulated enterprises.
| Capability | aurintai | Datadog | PagerDuty | incident.io |
|---|---|---|---|---|
| Air-gapped / On-prem deployment | ✓ Native — deploys entirely within your perimeter | ✗ Cloud-only. No true air-gap option. | ✗ Cloud-hosted. Limited data residency. | ✗ Cloud SaaS only. |
| Sovereign AI — data never leaves | ✓ Guaranteed — self-hosted models, zero external calls | ✗ AI features route to cloud LLMs. | ✗ No native AI; integrations send data outbound. | ✗ Cloud-dependent workflows. |
| Policy-as-Code governance | ✓ Built-in — YAML/JSON policies, version-controlled, pre-execution enforcement | ✗ No policy framework for AI actions. | ✗ Event routing only; no AI governance. | ~ Workflow rules, but no AI policy engine. |
| Autonomous agentic remediation | ✓ Full — A2A-orchestrated agents with human-in-the-loop approval | ~ Watchdog auto-remediation (limited scope). | ✗ Orchestration only; no autonomous remediation. | ✗ Incident management; no remediation agents. |
| Reasoning trace inspection | ✓ Complete — every agent decision fully inspectable, step-by-step | ✗ Black-box anomaly detection. | ✗ N/A — no AI reasoning layer. | ✗ N/A — no AI reasoning layer. |
| Out-of-band / read-only architecture | ✓ Native — zero write-amplification, zero blast radius | ✗ Requires agents installed on hosts. | ✗ Requires integration write access. | ✗ Requires API write access to tools. |
| Compliance templates (SOC 2, GDPR, HIPAA, FedRAMP) | ✓ Pre-built — policy packs ready to deploy | ~ Compliance monitoring, not policy governance. | ~ Audit logs only. | ~ Audit logs only. |
| Cross-border settlement intelligence | ✓ Native — SWIFT gpi, RTGS, FAST, regional rail integration | ✗ Generic APM; no financial messaging. | ✗ Generic incident routing. | ✗ Generic incident management. |
| Real-time DORA metrics with deployment correlation | ✓ Unified — all 4 metrics, auto-correlated, team-level breakdowns | ~ Deployment tracking; limited DORA. | ✗ No DORA metrics. | ✗ No DORA metrics. |
| Contract buyout + 2-week migration | ✓ Active program — credit + assessment + air-gapped deploy | ✗ No migration program. | ✗ No migration program. | ✗ No migration program. |
aurintai is designed for regulated industries where data residency and operational sovereignty are non-negotiable. Air-gapped deployment options, custom retention policies, and full control over your AI factory — because compliance is not a feature, it is the foundation.