Reference patterns
Examples
Runnable patterns with live demos, case studies, and architecture notes for review meetings — not a product you buy here.
Worked examples and decision guides you can run in reviews and pilots — an evidence base from The Ops Toolbox.
25
Patterns
Across 4 stacks
25
Live demos
Runnable interactive panels on this site
Pattern picker
Pick a profile close to your initiative. See representative examples and guides.
Policy or compliance answers that must cite approved sources.
Browse by pattern(Assistants, document Q&A, governance, platform, discovery)
Agents & copilots
Streaming tools, escalation, and human oversight.
- Operational Copilot with Streaming Tools
Operations staff get live help with customer lookup and ticket creation — with escalation when needed.
- Multi-model routing via unified gateway
Send the same request to different models and compare speed and quality through one endpoint.
- Intent Routing on Amazon Bedrock
Route questions by intent first — policy, technical, or escalation — then answer in the right tone.
- Human-in-the-Loop Approval Gates
Supervisors approve or reject CRM updates and refunds before anything runs.
- Policy-as-Code Gates Before Tool Calls
Rules block or route risky actions before an assistant can change live systems.
Grounded Q&A
Retrieval, citations, and knowledge-bound answers.
- Enterprise RAG on Azure AI Foundry
Staff ask policy questions and get answers backed by approved documents.
- AWS-Native Q&A with Amazon Bedrock
In-account Q&A using your knowledge base when configured, or seed content for early pilots.
- Policy Q&A with seed RAG
Ask policy questions and get grounded answers from in-app documents — with citations.
- Production Observability for AI Routes
See latency, tokens, matched documents, and rough cost on every request — ready for SRE and finance.
- Ingestion, Chunking, and Deterministic Citations
Turn messy source text into stable chunks and citation references for document Q&A and audits.
Governance & safety
Safety scoring, orchestration, and policy gates.
- Responsible AI Gate with Azure Content Safety
Check prompts and responses for harmful content before anything reaches customers.
- Durable multi-step orchestration
A reliable multi-step workflow for transformation intake — from brief to recommendation.
- Agent Orchestration on Azure AI Foundry
Answer questions in three governed steps: find context, draft answer, check safety.
- Orchestrated Agents on AWS Bedrock
Multi-step Q&A on AWS — full agent mode when configured, honest fallback pipeline when not.
- Policy Q&A with seed RAG
Ask policy questions and get grounded answers from in-app documents — with citations.
- Prompt A/B Evaluation with Structured Rubrics
Compare two prompts on the same message, then score which is clearer, safer, and better fit.
- Intent Routing on Amazon Bedrock
Route questions by intent first — policy, technical, or escalation — then answer in the right tone.
- Azure OpenAI Chat Baseline
Straight chat without document search — a fair comparison point before adding Q&A or workflows.
- Batch ticket triage
Classify a batch of support messages into category, priority, and queue in one pass.
- Human-in-the-Loop Approval Gates
Supervisors approve or reject CRM updates and refunds before anything runs.
- Production Observability for AI Routes
See latency, tokens, matched documents, and rough cost on every request — ready for SRE and finance.
- Ingestion, Chunking, and Deterministic Citations
Turn messy source text into stable chunks and citation references for document Q&A and audits.
- Policy-as-Code Gates Before Tool Calls
Rules block or route risky actions before an assistant can change live systems.
- PII Redaction Pre-Processor
Strip obvious personal data locally before anything is sent to an external model.
- Conversation Replay + Regression Evals
Store golden conversations and score prompt changes before they ship.
- Incident Assistant: Severity → Runbook → Comms
A multi-step incident helper using seed runbooks: classify severity, pick runbook, draft first comms.
- Vendor Questionnaire Summariser (Security + AI)
Extract what risk teams actually need from vendor docs: retention, regions, subprocessors, red flags, and follow-ups.
- Token Budget Guardrails (Per Session)
Hard caps per session to prevent pilot spend surprises, block after budget is exhausted.
Platform & routing
Gateways, evals, workflows, and intent routing.
- Multi-model routing via unified gateway
Send the same request to different models and compare speed and quality through one endpoint.
- Durable multi-step orchestration
A reliable multi-step workflow for transformation intake — from brief to recommendation.
- Agent Orchestration on Azure AI Foundry
Answer questions in three governed steps: find context, draft answer, check safety.
- Orchestrated Agents on AWS Bedrock
Multi-step Q&A on AWS — full agent mode when configured, honest fallback pipeline when not.
- Prompt A/B Evaluation with Structured Rubrics
Compare two prompts on the same message, then score which is clearer, safer, and better fit.
- Intent Routing on Amazon Bedrock
Route questions by intent first — policy, technical, or escalation — then answer in the right tone.
- Batch ticket triage
Classify a batch of support messages into category, priority, and queue in one pass.
- Production Observability for AI Routes
See latency, tokens, matched documents, and rough cost on every request — ready for SRE and finance.
- Conversation Replay + Regression Evals
Store golden conversations and score prompt changes before they ship.
- Incident Assistant: Severity → Runbook → Comms
A multi-step incident helper using seed runbooks: classify severity, pick runbook, draft first comms.
- Batch Clustering + Theme Labels
Group dozens of feedback lines into themes you can route to teams, without building a data platform.
Discovery & structure
Workshop extraction and initiative shaping.
- Transformation Discovery with Claude Structured Output
Turn workshop notes into structured initiative risks, stakeholders, and systems.
- Meeting Notes to Action Items with Claude
Turn meeting notes into a summary, action items with owners, and open questions.
- Vendor Questionnaire Summariser (Security + AI)
Extract what risk teams actually need from vendor docs: retention, regions, subprocessors, red flags, and follow-ups.
Batch & routing
Classify and route many items without a chat UI.
- Intent Routing on Amazon Bedrock
Route questions by intent first — policy, technical, or escalation — then answer in the right tone.
- Batch ticket triage
Classify a batch of support messages into category, priority, and queue in one pass.
- Batch Clustering + Theme Labels
Group dozens of feedback lines into themes you can route to teams, without building a data platform.
3 examples
In-account Q&A using your knowledge base when configured, or seed content for early pilots.
Question answered with sample documents or your knowledge base when configured
Multi-step Q&A on AWS — full agent mode when configured, honest fallback pipeline when not.
Full agent when configured; otherwise a visible retrieve → classify → answer pipeline
Route questions by intent first — policy, technical, or escalation — then answer in the right tone.
Message classified by intent before the answer is drafted