AgentOps Services
AgentOps is the operational layer for agentic AI systems. It combines tools, processes, and engineering practices required to run an entire AI agent ecosystem without fail. Do you need visibility into agent’s behavior, usage control or operational costs? If so, let’s talk.
Are you ready for what might happen when your agentic system enters production?
Agentic AI systems are non-deterministic. They operate probabilistically, yet they can access tools, documents, and sensitive information and act without direct user control. Software engineers often struggle to make these systems operational, because agentic AI introduces challenges that are rarely seen in traditional software: unpredictable behavior, variable resource consumption and lack of operational guardrails and traceability.
For this, you need experts. AgentOps specialists implement a dedicated operational layer that provides observability, resource allocation control, governance, and human-in-the-loop intervention. Derived from DevOps practices, AgentOps applies engineering rigor to autonomous AI agents and enables continuous integration and deployment for agent workflows, automated testing of agent behavior, monitoring and alerting in case of unusual behavior or token spikes, and structured rollback procedures.
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How AgentOps helps you operate agentic AI safely and at scale
Token cost and usage control
Monitor and predict operational costs per agent and workload
- Token usage tracking and quota management
- Cost attribution and anomaly detection
Integrated MLOps foundations
Operate agentic AI with the same discipline as enterprise ML platforms
- CI/CD for agent and ML components
- Model registry and lifecycle management
- Drift monitoring and controlled rollouts
Observability and production control
Trace agent decisions, tool usage, and runtime performance in production
- End-to-end execution tracing and prompt or context logs
- Latency, throughput, and operational monitoring
AI evaluation and quality assurance
Measure and continuously improve agent accuracy and behaviour
- Automated evaluation pipelines and regression testing
- Scenario-based validation and feedback loops
Our agentic AI technology stack
AgentOps services range from consulting to ongoing support
AgentOps consulting
Get an expert’s help with defining a clear strategy for agentic AI implementation, governance and security.
AgentOps deployment
Let’s tailor your deployment to security-first or cost-first priorities for agentic AI apps and platforms.
AgentOps support
Keep track of audit logs and ongoing monitoring and detect anomalies in performance.
Looking to build agentic AI or scale AI agents within your company? Let’s talk!
Book a FREE intro call to learn more and see how we can help optimise your production line.
Case studies that prove our AgentOps expertise
Legal Aid App With an AI Agent at the Core Helps Solicitors Deliver a Better Service
Multi-Agent AI App for Personalized E-Commerce Experience
Is Your PoC Too Slow? How We Optimized Algorithm Performance for Commercial Development
Interfacing 20,000+ Sensors Monitoring Traffic Lights and Road Infrastructure
DevOps Engineers Transformed Leading Auctioning Platform’s Infrastructure for Scalability, Stability, Cost Savings
Our Expertise.
Clients value the cross-disciplinary expertise of our Engineering Team.
AI and ML Engineering
- Generative Models
- Optimization
techniques - Natural Language Processing
- Deep Neural Networks training
- Planning and scheduling
Computer Vision
- Motion analysis
- Segmentation and
object detection - 3D reconstruction
- Digital diagnostics
Signal Processing
- Object detection and recognition
- Motion Analysis
- Augumented Reality
- Medical Imaging and Robotics
Embedded
and IoT
- Custom hardware and firmware development
- Internet of Things
- On-board/Edge processing
- Connectivity and
sensors
Ready to tell us about your project? Describe what you’re working on in the form below.
Let’s connect!
Send us an e-mail: [email protected]