AgentOps & MLOps: Run AI Agents in Production With Control
We build the deployment pipelines, monitoring, versioning, rollback and incident response that keep AI agents and models reliable once they are live.
Move from development to production with automated, staged deployment and rollback.
Orchestrate machine learning pipelines for data preparation, training and evaluation.
Track performance, keep audit trails and validate models before and after release.
Secure, resilient environments sized for your workloads.
Integrate continuous integration and delivery tailored for ML, enabling rapid iteration and reliable code-to-model updates.
What Are AgentOps and MLOps?
MLOps applies DevOps practices, such as automation, testing and monitoring, to machine learning models. AgentOps extends this to AI agents: tracking the prompts, tool calls, costs, approvals and outcomes of agents in production.
Together they make AI systems reproducible, observable and safe to change.
Our AgentOps & MLOps Services
Practical operations for AI agents and models, for organizations across the USA, Canada and the UK.
AI Model Deployment Services
Deploy models and agents using containers or serverless architectures, sized for your availability and latency targets.
AI CI/CD Pipeline Services
Automate your testing and deployment cycles with robust pipelines that handle code, data, and model artifacts simultaneously.
AI Model Monitoring Services
Detect data drift, performance degradation and unusual agent behavior early, with alerts to the right people.
AI Lifecycle Management
Oversee the entire journey of an AI model, from initial data ingestion to eventual decommissioning or retraining phases.
AI Infrastructure Automation
Leverage Infrastructure as Code (IaC) to provision and manage specialized hardware like GPUs for intensive AI workloads.
LLMOps Services
Operations for language-model applications: prompt versioning, evaluation, vector database management and cost control.
Put AI Into Production With Control
Automated deployment, monitoring, rollback and governance for AI agents and models.
Benefits of AgentOps & MLOps
Reliable, observable AI systems, with results measured against a baseline.
Faster AI Deployment Cycles
Reduce the time from hypothesis to production-ready model by automating the repetitive stages of the ML development lifecycle.
Reduced Operational Costs
Better use of compute and less manual handling, with cloud costs tracked against budget.
Improved AI Model Reliability
Ensure consistent and predictable outputs by implementing rigorous automated testing and validation protocols throughout the pipeline.
Scalable AI Infrastructure
Elastic environments that scale with users and data.
Better Compliance & Governance
Audit trails, documentation and bias checks built into your AI workflows to support your compliance obligations.
Continuous AI Performance Optimization
Feedback loops that refine accuracy and resource use over time.
How We Set Up AgentOps & MLOps
Every update is tested, validated and deployed in stages, with a tested rollback path.
AI Infrastructure Assessment
We review your current stack and processes to identify gaps and cost-saving opportunities.
Pipeline Architecture & Planning
We design CI/CD workflows for your data sources, model types and security requirements.
Model Deployment Automation
Deployment scripts move models and agents through staging to production, with rollback available at every step.
Monitoring & Observability Setup
Dashboards show model health, agent actions, costs and business-impact metrics.
Continuous Optimization & Maintenance
We tune pipelines and monitoring as your data, models and usage change.
Why Choose Agentic Resources for AgentOps & MLOps?
Governance designed in, delivery in stages, and results measured against a baseline.
Built for Production
Monitoring, rollback and incident response are planned before go-live, not after.
Cloud-Agnostic Engineering
We work on AWS, Azure and Google Cloud, and within your existing infrastructure standards.
Scalable & Secure AI Infrastructure
Least-privilege access, encryption and audit logging built into every pipeline.
Custom MLOps Solutions
Pipelines designed around your technical landscape and business requirements.
Transparent Delivery Process
Stay informed with clear milestones, regular updates, and a collaborative approach to every phase of your AI journey.
USA, Canada and UK
US-led engagement and solution architecture, with overlapping working hours with your team.
How You Can Engage Us
Four engagement models, each with dedicated delivery leadership, written specifications and regular reporting.
01
Dedicated Teams
A multidisciplinary AgentOps and MLOps team assigned to your organization and roadmap.
02
Managed Projects
End-to-end delivery of a defined operations capability against an agreed scope and budget.
03
Staff Augmentation
Named DevOps, MLOps and platform specialists embedded within your existing teams.
04
Consulting & Advisory
Operations assessments, architecture and governance planning, with no obligation to build.
AI Governance, Observability & Compliance Support
Oversight and controls that support your obligations under the frameworks that apply to you.
Talk to Us About Your AI Operations
We will tell you what it would take to run your AI systems reliably in production.
FAQs
They automate how models and agents are tested, released and monitored, reducing manual errors and making changes safer.
Standard pipelines and monitoring let you manage many models and agents reliably across environments.
They enable automatic testing and staging of models, ensuring that only validated, high-quality updates reach the end-user.
Yes. We track accuracy, latency, cost and resource use, with alerts to the right people.
Yes. We build audit trails and governance processes that support your SOC 2, HIPAA and GDPR obligations. These are frameworks we design for, not certifications we hold.
Any organization running AI in production, including financial services, insurance, healthcare, logistics and retail.
Yes. We can operate and improve your AI stack until your team is ready to take over.
Yes, through our Staff Augmentation and Dedicated Teams models.