Agent Workflows
Design multi-step agent systems with planning, tool use, memory, and human-in-the-loop controls.
- Agent routing & orchestration
- Tool calling & integrations
- Guardrails & policy enforcement
- Human-in-the-loop workflows
Production LLM Systems: Agents, RAG, Evals, Secure Deployment
We help teams move from AI demos to production systems with agent workflows, retrieval, evaluation harnesses, observability, and cloud-safe deployment.
- Production architectures built for reliability and scale
- Retrieval, tools, memory, and safety built in
- Evaluation harnesses aligned to real business outcomes
- Secure deployment on AWS with guardrails and observability
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Production LLM System Architecture
Channels
Agent router
RAG layer
Model layer
Eval suite
Deployment
Observability Security Feedback
Production LLM System Architecture
Use & Channels
Web App
Slack / MS Teams
API / Mobile
CLI
Agent Router
Intent Detection
Policy & Guardrails
Session & Memory
Tools & Integrations
Function Calling
APIs & Services
Databases
Automation / RPA
Responses
Citations
Structured Output
UI / API Response
Streaming
RAG & Knowledge Layer
Vector Store
Document Store
Chunking / Embeddings
Model Layer
Hosted LLMs (AWS Bedrock)
Bring Your Own Model
Eval Suite
Correctness
Faithfulness
Safety
Groundedness
Observability
Tracing (OpenTelemetry)
Metrics & Dashboards
Logs & Alerts
Data & Feedback Loop
Interaction Logs
Human Feedback
Dataset Generation
Security & Governance
IAM / RBAC
PII Redaction
Content Filters
Deployment
AWS Multi-AZ
VPC / PrivateLink
CI/CD Pipeline
Data flow Feedback / monitoring
RAG & Knowledge Systems
Build retrieval systems that find the right information with high precision and governed freshness.
- Advanced chunking & embeddings
- Hybrid search & re-ranking
- Metadata filters & access control
- Continuous ingestion pipelines
LLM Evals
Measure what matters with evaluation harnesses aligned to use cases and quality over time.
- Automated eval datasets
- Quality, safety & grounding metrics
- Regression & canary testing
- Eval dashboards & reporting
Secure Cloud Deployment
Deploy to AWS with security, reliability, and cost efficiency built in from day one.
- VPC, IAM, KMS, Secrets Manager
- PII protection & content filters
- CI/CD, blue/green deployments
- Monitoring, alerts & auto-scaling
From prototype to production
1
Audit
Assess use cases, data, risks, and current stack.
2
Architecture
Design the target architecture, data flows, and guardrails.
3
Build
Implement agents, RAG, tools, and integrations.
4
Evaluate
Run evals, red-team, and optimize for quality.
5
Launch
Deploy securely with CI/CD, alerts, and runbooks.
6
Monitor
Observe, measure, and continuously improve.
99.9%+
Target uptime
< 2s
P95 end-to-end latency
90%+
Eval accuracy on key tasks
Enterprise-grade
Security & compliance
AWS-native
Scalable & cost-efficient