ROADMAP.md

AISA Roadmap

This roadmap defines a progressive maturity path for adopting the AISA architecture, from learning-oriented systems to enterprise-grade deployments. It illustrates how responsibilities, controls, and capabilities evolve across layers as system scale, autonomy, risk, and operational requirements increase.

AISA Layer	Learning-Oriented Maturity	Enterprise-Grade Maturity
LLM Foundation	Basic model invocation, prompt engineering, structured outputs, small-scale RAG, safety prompting	Model routing and fallback strategies, instruction tuning, grounding and attribution requirements, cost–latency optimization, alignment controls
Tool & Environment	Simple tool calling, read-only APIs, local scripts, basic input/output schema validation	Secure tool registry, sandboxed execution, scoped permissions, idempotency guarantees, rate limiting, audited API interactions
Cognitive Agent	Single-agent planning, task decomposition, short-term memory, basic reflection mechanisms	Persistent goal tracking, calibrated tool usage, explicit termination logic, governed memory policies, human escalation strategies
Agentic Infrastructure	Sequential workflows, minimal orchestration, basic logging and monitoring	Workflow engines and state machines, multi-agent coordination, distributed tracing, centralized runtime budget enforcement
Evaluation & Feedback	Offline tests, manual inspection, simple correctness or success metrics	Trajectory-level evaluation, continuous online monitoring, regression prevention, red-teaming, human-in-the-loop review
Development & Deployment	Manual experimentation, prompt versioning, limited testing and rollback	CI/CD pipelines, staged rollout (canary and shadow deployments), A/B testing, automated rollback, artifact provenance
Governance, Ethics & Policy	Awareness of safety guidelines and informal review processes	Policy-as-code mechanisms, audit-ready telemetry, risk-tiered oversight, compliance gates, explicit accountability frameworks