A composable approach that breaks AI systems into swappable modules—models, tools, RAG, data pipelines, and governance—connected by clear APIs.
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Modular AI architecture separates concerns into composable services: model inference, orchestration, knowledge retrieval (RAG), data pipelines, and governance. Clear contracts allow parts to evolve independently. The result is a flexible platform that supports rapid iteration without risking reliability or security.
We define stable interfaces for prompts, tools, and data; add adapters for SaaS/internal systems; and enable multi-model routing with evaluation gates. Feature flags, CI/CD, and contract tests keep modules compatible. Observability and cost telemetry show latency, accuracy, and spend in real time.
A production thin slice with reference architecture, module catalog, and SDKs; RAG + vector data patterns; policy/guardrail registry; and IaC/CI pipelines. Dashboards track uptime, error budgets, and cost per task. Tenancy and quotas protect shared resources across teams.
Security by design: SSO/SCIM, RBAC/ABAC, audit logs, and secrets management. Policy-as-code enforces data boundaries, PII handling, and usage limits. Rollout gates, holdouts, and human-in-the-loop reviews ensure safe behavior before organization-wide scale.
A composable approach that breaks AI systems into swappable modules—models, tools, RAG, data pipelines, and governance—connected by clear APIs.
Yes. We add routing and evaluation so you can mix frontier, domain, and open models while keeping quality, latency, and cost in check.
Use the strangler pattern: introduce adapters and route specific capabilities to new modules, then retire legacy code progressively.
SSO/SCIM, RBAC/ABAC, encryption, secrets management, and audit logs—plus policy-as-code to enforce data boundaries and approvals.
Dashboards for SLA/SLO attainment, accuracy, and safety evals, cost per task, and adoption—tracked by team and use case.
Cloud, on-prem, or edge. We choose by latency, privacy, and integration needs; hybrid patterns are common.
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