LLM-Powered Business Process Automation
LLMs extract, classify, interpret, summarize, and propose actions from unstructured work. Deterministic services validate, route, enforce rules, execute APIs, persist state, retry, and audit.
LLM-Powered Business Process Automation system boundary
Email, documents, and forms trigger a workflow where an LLM extracts, classifies, interprets, summarizes, and proposes. Deterministic validation, business rules, routing, approval, API execution, state, retry, and audit control the action.
LLM-Powered Business Process Automation execution path
Incoming work is parsed, the agent proposes structured intent using retrieved business data, deterministic checks validate fields and rules, exceptions move to a human queue, and approved low-risk or reviewed high-impact actions update external systems.
LLM-Powered Business Process Automation context movement
The agent receives bounded source content, relevant business records, extraction schema, and rule outcomes. Persisted state records source references, proposed values, validation, approval, execution, notification, and audit history.
LLM-Powered Business Process Automation ownership limits
The LLM does not enforce rules, approve high-impact actions, execute unrestricted APIs, own retries, or decide whether a write succeeded. Humans handle exceptions and configured approvals.
LLM-Powered Business Process Automation enforced controls
Schema validation, rule checks, routing, approval thresholds, idempotency, replay protection, retries, durable state, API adapters, notifications, and audit are deterministic.
LLM-Powered Business Process Automation trust boundaries
Untrusted content is isolated from instructions, integrations use least privilege, sensitive fields follow access and retention controls, and action history remains reviewable.
LLM-Powered Business Process Automation operating model
Durable queues, batch processing, bounded concurrency, provider rate limits, model routing, retry budgets, and exception queues absorb uneven document and event volume.
LLM-Powered Business Process Automation recovery paths
Invalid extraction returns to review, missing business data pauses action, API failures retry within budget, duplicate events reuse idempotency state, and uncertain writes enter reconciliation before replay.
LLM-Powered Business Process Automation deterministic test coverage
Tests cover schemas, rules, routing, approval thresholds, idempotency, replay, retries, adapters, notifications, and audit, alongside representative unstructured inputs.
LLM-Powered Business Process Automation behavior evaluation
Agent evaluations measure extraction, classification, interpretation, summarization, proposal validity, uncertainty, and escalation. Deterministic assertions verify every executed update.
LLM-Powered Business Process Automation operational evidence
Traces connect source ingestion, model output, retrieved records, validation, rule results, human decisions, API attempts, notifications, retries, and final state.
LLM-Powered Business Process Automation deployment boundaries
Trigger services, agent workers, rules engine, approval queue, state store, adapters, and audit pipeline deploy separately with scoped credentials.
LLM-Powered Business Process Automation deliberate constraints
LLMs improve handling of unstructured inputs but remain probabilistic. The architecture assigns interpretation to the model and keeps enforcement and execution in deterministic software.
LLM-Powered Business Process Automation claim boundary
Illustrative automation architecture only. No cost saving, return on investment, cycle-time result, or customer outcome is claimed.
Need this architecture adapted to your workflow?
DeepVention Labs can map the requirements, boundaries, integrations, evaluation, and operating model for your system.