Agent Development & Assessment Framework
Applied AI
01
Lifecycle-Centric Design
A structured approach spanning discovery, agent-type selection, development, testing, deployment, monitoring, and continuous improvement.
02
Tool-Agnostic Implementation
Works seamlessly with LangChain, AutoGen, Semantic Kernel, OpenAI Agent SDK, CrewAI, Flowise, n8n—or custom LLM stacks.
03
Agent-Type Modeling
Clear guidance on when and how to use reflex-based, goal-oriented, and selfreflective agents.
04
Benchmark-Driven Evaluation
Shared KPIs across task success, cost, latency, retries, memory effectiveness, and coordination.
05
Built-In Governance and Trust
Human-in-the-loop paths, refusal logic, PII handling, audit logging, and fairness checks embedded by design.
06
Enterprise AgentOps Enablement
Agent registries, health checks, drift detection, cost visibility, and escalation playbooks—turning agent delivery into a repeatable capability.
Get Started
Agentic AI succeeds only when it is built with discipline, governance, and scale in mind. Organizations that move beyond experimentation and adopt a structured approach will unlock reliable automation, trusted decisions, and lasting enterprise value.
Altimetrik is committed to protecting your personal information. To apply for a position, you will need to provide your email address and create a login. Your information will be used in accordance with applicable data privacy laws, our Privacy Policy, and our Privacy Notice.
