OpsRabbit for CloudOps, SRE, and DevOps

AI That Investigates Production Issues 5x Faster

Reduce investigation time across CloudOps, Kubernetes, logs, metrics, deployments, and incident workflows.

OpsRabbit incident replay studio showing AI root cause analysis for production issues
Incident Investigation Kubernetes RCA in progress
Signals Correlated Logs, metrics, deploys, tickets

GTAF for production AI workflows

Move AI From POC to Production Faster

Most teams are not blocked on AI ideas anymore. The challenge is operationalizing them across real systems and workflows.

GTAF agentic AI workflow orchestration architecture
Orchestration Agents, workflows, integrations
Production Controls Governance, observability, quality

Enterprise AI workflows

AI Workflows That Actually Get Used

Turn disconnected AI experiments into production-ready workflows across support, operations, IT, and customer-facing teams.

Support specialist using AI assistance in an enterprise workflow
Workflow Automation Support, IT, operations, customers
Human Oversight Teams stay in control

Customer experience

Customers and teams we have worked with

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The enterprise AI gap

AI Pilots Are Easy. Production AI Is Engineering.

Enterprise AI has to work inside real workflows, regulated environments, legacy systems, and mission-critical operations. AAIC designs for integration, reliability, observability, security, and accountable delivery from day one.

Core positioning

AI-First Engineering for Modern Enterprises.

We architect, build, and operationalize enterprise AI systems across IT operations, digital products, document workflows, customer support, and automation platforms.

Enterprise AI systems

LLM integration, RAG, workflow orchestration, model evaluation, and human-in-the-loop controls for production use.

Agentic workflows

Multi-agent task execution patterns that connect enterprise tools, APIs, business rules, and governance controls.

Cloud and DevOps

Cloud native architecture, CI/CD, infrastructure automation, monitoring, and release controls for AI-enabled platforms.

Quality engineering

Automated validation, regression coverage, performance testing, LLM output checks, and release readiness gates.

Accelerators

Platforms That Compress Time to Value.

Reusable AI platforms help teams launch governed agents and investigation workflows faster, with integrations and production controls built in.

01

GTAF

Generative Task Automation Framework for building governed enterprise agents in days. It brings workflow orchestration, integrations, human oversight, observability, and reusable agent patterns into one production foundation. Explore GTAF.

02

OpsRabbit

AI operations layer for CloudOps and SRE teams. It correlates alerts, logs, metrics, deployments, and service context to speed up incident investigation and RCA. Explore OpsRabbit.

Use cases

Real Enterprise Use Cases. Measurable Impact.

Focused AI systems for operational teams that need reliability, integration, security, and clear ownership.

OpsRabbit product interface for AI operations

AI for IT Operations

Automated investigation and hypothesis generation across observability, ticketing, cloud telemetry, and DevOps systems.

Document analysis and extraction workflow illustration

Intelligent Document Engineering

AI-assisted extraction, classification, validation, review, and search for high-volume enterprise document workflows.

Manufacturing systems integration workflow illustration

Manufacturing Efficiency

Workflow automation, quality insights, operational visibility, and exception handling for manufacturing teams.

60+ Global engineers
32+ Cloud certifications
24x7 follow-the-sun delivery

FAQ

Frequently Asked Questions.

Clear answers for teams evaluating production AI, agentic workflows, and enterprise automation.

What is enterprise AI consulting?

Enterprise AI consulting helps organizations identify practical AI use cases, design secure architectures, integrate AI into existing systems, and move AI workflows from pilot to production.

What is agentic AI?

Agentic AI uses coordinated AI agents to complete multi-step work across tools, APIs, data sources, and business systems with governance and human oversight.

How does AAIC help AI move from POC to production?

AAIC combines AI architecture, cloud engineering, DevOps, quality engineering, integration, and delivery governance so enterprise AI systems can operate reliably in real workflows.

What enterprise AI use cases does AAIC support?

AAIC supports AI for IT operations, intelligent document workflows, customer support automation, manufacturing efficiency, product engineering, and enterprise workflow automation.

Which industries does AAIC support?

AAIC supports enterprises across financial services, healthcare, telecom, retail, technology, manufacturing, and business operations, including regulated and compliance-driven environments.

From Idea to Impact. Let’s Make Enterprise AI Work.

Schedule a strategy call to evaluate your AI roadmap and identify high-impact AI automation, integration, and production readiness opportunities.

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