AI Architecture Lab
Design Your Enterprise AI Architecture.
Change any constraint on the left and the architecture on the right changes with it — including the decisions it forces and the risks it creates. Download the result as a blueprint you can take into a design review.
Recommended architecture
Enterprise knowledge & search — BFSI
EXPERIENCE
Embedded AI in the host application
Adoption follows the workflow. A separate portal launches well and is abandoned within a quarter.
ORCHESTRATION
Prompt orchestration with retrieval
No planner is needed until the system is permitted to take action.
POLICY & GOVERNANCE
Input/output guardrails and disclosure
Risk classification, approval thresholds and retained decision records are mandatory at this security level.
KNOWLEDGE & RETRIEVAL
Access-aware hybrid retrieval with citations
Entitlements filter before ranking. Post-filtering leaks content through ranking behaviour.
MODEL
Routed portfolio — SLM · open-weight · frontier
Routing by task complexity and sensitivity is the highest-leverage cost control available.
INTEGRATION
Read-only connectors
Read paths only until action quality has been measured.
DATA FOUNDATION
Governed pipelines over Documents · Databases
Permission and deletion changes must propagate into every derived index, or retrieval becomes a compliance exposure.
INFRASTRUCTURE
Kubernetes with managed inference capacity
Size for utilisation, not for peak.
OBSERVABILITY & FINOPS
One trace across prompt, retrieval, tool call and outcome, with cost attributed
Quality, latency and cost measured in one place or they will not be compared.
Key decisions and why
Model: Routed portfolio — SLM · open-weight · frontier
A routed portfolio serves the high-volume easy work cheaply and reserves frontier reasoning for the cases that need it. It is also the only option that keeps vendor concentration low.
Autonomy: Recommend with evidence
Starting advisory lets you measure recommendation quality before anything is permitted to change state. It is the cheapest way to earn the right to act.
Deployment: Hybrid
Public cloud is appropriate where residency permits it. Keep the model interface abstracted so the deployment decision stays reversible.
Security posture: Regulated
Risk classification per system, retained decision records, meaningful human oversight and evidence that controls operated — built as platform capabilities rather than assembled per system.
Risks to plan for
- Document preparation decides retrieval quality. Budget for parsing, layout handling, deduplication and permission capture at ingest.
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Pressure-Test Our Architectural Approach Against Your Estate
Your valuable hour is where our architect evaluates your data assets, the controls you have and the way your platform absorbs change.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT