Sustain Data & AI Performance at Scale

We provide the critical post-deployment architecture—integrating world-class MLOps/LLMOps and governance—to ensure your intelligent applications deliver predictable performance, managed costs, and sustained competitive advantage.

The Business Case for AI Operations and Governance

Scaling AI is not merely managing uptime; it's the phase that guarantees the initial investment is protected, governed, and continuously delivers on the promised ROI.

benefit
Protect Investment with Governance

We implement robust Agentic AI Lifecycle Management and monitoring to ensure compliance, detect drift, and mitigate risks, turning AI initiatives into predictable business assets.

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Ensure Predictable Performance

Our MLOps/LLMOps rigor automates pipelines, model testing, and deployment, guaranteeing continuous, reliable performance, maximizing uptime, and reducing system latency.

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Optimize Costs and Drive Efficiency

We integrate FinOps workflows and continuous cost monitoring to manage resource consumption dynamically, ensuring your scaling efforts are highly efficient and cost-optimized.

The Quantifiable Business Impact of AI Operations

25%

faster time to resolve downtime incidents after adopting modern DevOps and MLOps practices.

90%

of employees who use GenAI tools at work do so using "shadow AI," increasing security and compliance risks.

12%

reduction in IT infrastructure spend for organizations adopting containers and cloud-native services in production

How we help

Manage and Scale AI

Our comprehensive services ensure that every intelligent application is monitored, governed, and continuously optimized for long-term production success.

AI Managed Services

We provide 24/7 expert support and maintenance, ensuring continuous uptime, performance monitoring, and immediate issue resolution for your production applications.

MLOps & LLMOps

We establish automated pipelines for models and data, guaranteeing predictable model performance, rapid deployment, and effective cost control for all machine learning and GenAI applications.

Agentic AI Lifecycle Management

This governance framework provides the security, auditability, and ethical oversight necessary to manage complex, autonomous Agentic systems operating in the enterprise.

DevOps

We implement modern automation and CI/CD practices across your technical teams, accelerating feature releases and improving operational resilience throughout the lifecycle.

Infrastructure for AI

We architect and manage the specialized, cost-optimized cloud infrastructure required to run large-scale AI models and intelligent agents efficiently in production.

Our Approach to AI Operations

We transition your applications from the build phase to continuous operations using a rigorous, automated framework that prioritizes reliability, security, and measurable ROI.

step 1
01

MLOps Pipeline Automation

We establish end-to-end automation, including CI/CD pipelines for code, data, and models, ensuring zero-touch deployment and continuous integration into the production environment.

step 2
02

Governance and Compliance Framework

We implement full lifecycle governance, integrating policies for bias detection, ethical use, and compliance tracking, with built-in auditability for every deployed model.

step 3
03

Continuous Monitoring and Optimization

We deploy deep observability and monitoring tools to track model drift, latency, performance, and cost in real-time, enabling proactive intervention and automated optimization.

step 4
04

Value Realization & Roadmap Expansion

We provide transparent reporting on key metrics (ROI, efficiency gains), and use this data to inform and execute the continuous improvement and expansion roadmap for your Agentic applications.

Client Success Stories

Data Modernization Results In $3M In Annual Savings For Ecommerce Leader | 66degrees

Transforming Document Analysis Across the Enterprise with AI

Transforming Vendor Item Management With GenAI | 66degrees

Resources

Latest Insights

success stories
September 25, 2025
Driving Business Growth Through Smarter Visualization And Reporting
success stories
September 23, 2025
Migrating to Snowflake and MicroStrategy Cloud Solves Integration Delays
success stories
September 19, 2025
Improving Delivery Performance With Looker-Powered Outage Detection
insights
November 15, 2025
Agentic Teams: How Human-Agent Collaboration Redefines Workforce Productivity
insights
November 14, 2025
Why AI-Powered Modernization is the Only Way to De-Risk Your Cloud Strategy
insights
November 9, 2025
The Agentic Fluency Imperative: Upskilling Your Workforce for Human-Agent Collaboration
events
November 21, 2025
Data-to-AI: Executive Summit
media
September 18, 2025
How to Use Gems in Gemini
media
May 31, 2025
Showcasing the Agentic Enterprise at Google Cloud Next
media
May 16, 2025
The Blueprint for Successful Enterprise AI Transformation
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Meet Our Experts

Rohit Sinha
AVP Managed Services

Sean Anderson
SVP Managed Services

Alex Voorhees
SVP Cloud Engineering

Tanwir Danish
EVP, Global Head of Data and AI

Daniel Zagales
VP Data Platforms

AI Operations FAQs

Your key questions about AI operations, answered.

Start Accelerating your Path to AI Value

Get in touch today and start defining your strategic path towards building the Agentic Enterprise.