Agentic Process Fabric for Enterprise Automation

Event-Driven RPA, Low-Code Orchestration, Federated Policy Control. Aziro uses agentic AI, low-code RPA, and process mining to build self-optimizing workflows where bots run operations and analytics spot new automation.

Our Offerings Section

An enterprise message bus tracks task provenance, feeding causality graphs that highlight latency hotspots. Low-code RPA nodes compiled into WASM run in a service mesh, while an admission controller validates every bot action against Open Policy Agent (OPA) rules. Metrics stream to SRE consoles for SLO-driven remediation.

Automation-as-a-Service

Delivers scalable automation pipelines via containerized microservices with centralized orchestration and CI/CD-ready workflows.

AI-Enabled Automation

Integrates LLMs and AI agents for adaptive decision-making, context-aware task execution, and self-optimizing workflows across business domains.

RPA Services

Implements bot-driven task automation using computer vision, low-code platforms, and API-first orchestration to reduce manual dependencies.

AIOps

Applies ML-based log parsing, anomaly detection, and event correlation to automate incident triage, root cause analysis, and proactive remediation.

Agentic AI BPM

Uses goal-directed AI agents to dynamically model, optimize, and execute end-to-end business processes with contextual adaptability.

Cloud-Native Services

Architected on Kubernetes and serverless runtimes, enabling elastic automation services with GitOps, IaC, and API gateway integration.

Cognitive AI Automation

Leverages NLP, OCR, and context inference to automate unstructured data processing and decision flows across enterprise systems.

Data Mesh & AI Fabric

Facilitates federated data ownership and AI model interoperability across domains using mesh-native pipelines and semantic layers.

AI-Driven DevSecOps

Embeds AI in the SDLC to automate policy enforcement, threat modeling, compliance auditing, and runtime anomaly detection.

SRE & Observability

Implements AI-powered reliability engineering with real-time telemetry correlation, SLO enforcement, and auto-remediation via observability stacks.

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OPEX Reduction

Bots handle repetitive finance tasks, freeing resources and allowing teams to redirect operational spending toward high-impact growth and innovation projects.

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SLA Compliance

AI-driven predictive queues automatically reroute tasks before deadlines, ensuring customer commitments are consistently met and service levels remain reliable.

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Faster Change Rollout

No-code workflow updates empower domain experts to implement process changes quickly, accelerating deployment and minimizing the risk of costly errors.

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Audit Traceability

Every bot action is cryptographically recorded, providing a tamper-proof audit trail that simplifies governance and ensures regulatory compliance at all times.

Ai-Led Outcomes.

Human-Centric Impact.

From Fortune 500s to digital-native startups — our AI-native engineering accelerates scale, trust, and transformation.

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Case Study

Unified AI-Augmented App Stack for an eCommerce Leader

Aziro delivered multiple cross-platform apps using ML-assisted code generation and real-time CI observability — enabling seamless integration across mobile, analytics, and operations layers.

5

Projects Delivered across brands

4+

Full-stack delivery with AI-led velocity

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Case Study

Autonomous, Private QA Agents for a Networking Giant’s Enterprise Testing

Aziro deployed local LLM-powered QA agents that auto-generated, optimized, and executed test scripts across critical software stack — without internet connectivity or cloud dependence.

80%

Reduction in manual testing

100%

Private, on-prem inference

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Case Study

AI-Led Payment Automation for a FinTech Leader

Aziro implemented an intelligent payment orchestration system powered by cognitive workflows and embedded anomaly detection, ensuring zero reconciliation errors across the financial lifecycle.

60%

Boost in processing speed

100%

Accuracy in audit reconciliation

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Case Study

Predictive Storage Intelligence for a Data Storage Leader

Aziro built an AI-powered observability layer that predicts bottlenecks, allocates resources dynamically, and enhances decision-making with ML-based usage trends.

30%

Gain in storage efficiency

24/7

Continuous AI-driven insights & alerts

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Case Study

AI-Enabled Claims Automation for an Insurance Giant

Aziro deployed a scalable, AI-native claims management platform with predictive triage, automated case routing, and observability built into the core — all running in a cloud-agnostic environment.

40%

Reduction in infra cost

99.9%

Uptime with intelligent failover

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Case Study

Scaling AI-Native Engineering

Aziro built a cross-functional engineering squad embedded with AI-augmented DevOps pipelines, reducing release cycles and delivering UI-rich SaaS modules at scale.

5x

Team growth in under 12 months

10+

AI-accelerated product modules shipped

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Aziro has been a true engineering partner in our digital transformation journey. Their AI-native approach and deep technical expertise helped us modernize our infrastructure and accelerate product delivery without compromising quality. The collaboration has been seamless, efficient, and outcome-driven.

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