Engineering
Alert triage and root cause
Aggregates monitoring alerts and logs, attributes them to likely root causes with recommended actions, and shortens time to diagnosis.
- Cross-industry
- Financial services
- Energy
Go-live is not the finish line—it is where operations begin
AgentOps managed operations
88% of production Agent deployments have had incidents, and more than 40% of agentic projects are expected to be cancelled before 2027—mostly not because the technology fails, but for lack of governance, observability and clear ROI. "Answering correctly" is only the first step; "resolution rate" is the real test of value.
Core services
What we actually do
Agent usage monitoring
Call volume, active users, departments, frequent questions
Effectiveness evaluation
Answer accuracy, task completion rate, user satisfaction
Prompt and workflow optimization
Continuously improve prompts, tool chains and task paths
Cost management
Monitor call costs; optimize model selection and routing
Risk control
Monitor sensitive content, wrong outputs and unauthorized access
Version iteration
Upgrade Agent capabilities and business processes monthly or quarterly
Customer value
What you get
- AI Agents are more than a one-time delivery
- Keep improving accuracy and business value
- Help you keep model costs under control
- Reduce the risks of using AI
- Digital Workers you can operate, measure and iterate
LLMOps
An operations loop built on five dimensions
Evaluation
Offline evaluation sets + online A/B tests; recall, faithfulness, resolution rate
End-to-end tracing
Trace every reasoning step, retrieval and tool call for full replay
Runtime monitoring
Real-time dashboards for latency, cost, tokens and success rate
Safety guardrails
Input/output filtering, sensitive-term screening, protection against privilege escalation and prompt injection
Data flywheel
Feedback flows back into labeling for ongoing fine-tuning and prompt optimization
Related Agent templates
Templates for this practice area
Customer support
Ticket dispatch
Understands ticket content, determines category and priority, assigns it to the best-suited handler, and escalates automatically on timeout.
- Cross-industry
- Manufacturing
- Energy
Customer support
Complaint analysis
Analyzes complaint records for root causes and trends, identifies systemic issues and high-risk cases, and produces an improvement report.
- Retail
- Financial services
- Cross-industry
Related case studies
Projects in production
FAQ
Questions customers often ask
Other practice areas
AI Agent platform deployment
The technical foundation for enterprise AI · on-premises, controlled, manageable
Build an enterprise-grade AI platform so AI capabilities are managed, reused and scaled in one place.
Learn moreForward Deployed Engineering (FDE)
Forward Deployed Engineers · building with you, on site
Engineers work on site, with real data and production constraints, to take key use cases all the way to stable operation.
Learn moreIndustry Agent solutions
Agent packs built from delivered projects
24 curated templates, and growing, replicated fast by department and industry into a Digital Worker system.
Learn moreData governance and knowledge engineering
Turn enterprise knowledge and data into assets AI can use
Organize knowledge, data, processes and permissions to improve answer quality and business accuracy at the root.
Learn moreAI training and practice simulation
AI transformation is an organizational challenge, not just a technical one
Build a workforce that can, will and does use AI well, and raise adoption of the platform and Agents.
Learn more
Start with an AI consulting workshop
In 1–2 weeks, we work with your business team to map processes, identify high-value use cases, estimate ROI and deliver an actionable transformation roadmap.