Intelligent workflow intake
Interpret business requests, extract structured information, and identify the workflow required.
ENTERPRISE AGENTIC INTELLIGENCE · IN DEVELOPMENT
Lumiq WorkflowsComplex processes.
Intelligent execution.
An AI-native workflow orchestration platform designed to transform fragmented, coordination-heavy enterprise processes into structured, traceable, human-supervised execution.
THE PROBLEM
Enterprise work is fragmented across systems, teams, and decisions.
Scattered documents, repeated information requests, manual tracking and delayed handoffs leave teams with limited visibility and time-consuming evidence collection.
FRAGMENTED PROCESS
Scattered documents → repeated requests → unclear ownership → delayed approvals
INTENDED STRUCTURED WORKFLOW
Shared context → evidence package → assigned reviews → traceable decision
PLANNED CAPABILITIES
From context to accountable execution.
The following capabilities describe our intended platform architecture, not functionality available in a released product.
Contextual document intelligence
Interpret submitted documents, highlight relevant details, and identify missing information with evidence references.
Agentic task planning
Decompose an approved objective into tasks, select appropriate tools, and track execution state.
Controlled tool execution
Interact with permitted enterprise systems through narrowly scoped APIs and validated tool contracts.
Human approval & escalation
Route risk-sensitive actions to authorized human reviewers before execution.
Traceability & observability
Record steps, evidence, tool responses, decisions and status to support review and evaluation.
FLAGSHIP USE CASE
AI application onboarding and governance.
A conceptual journey from an employee’s request to an authorized, evidence-backed decision.
Illustrative Product WorkflowConcept only · no live AI execution
Request intake
An employee requests onboarding for an AI application.
- Trigger
- Employee submits a request.
- AI reasoning
- Interpret the business objective and application context.
- Tools
- Planned request form and workflow state manager.
- Human interaction
- Employee confirms request details.
- Output
- Structured onboarding request.
PROPOSED TECHNICAL ARCHITECTURE
Reasoning is not authorization.
The proposed Claude reasoning layer interprets context and prepares actions. It does not independently authorize sensitive changes. This is an architecture direction, not a claim of deployed Claude usage.
01Enterprise trigger
02Workflow state manager
03Claude reasoning layer (planned)
04Tool selection & validation
05Permission-aware gateway
06Human approval
07Workflow completion
08Audit records & evaluation
Reliability by design
Validate tool contracts, preserve workflow state, record outcomes and evaluate failure paths. Risk-sensitive actions wait for authorized reviewers.
Data isolation
Intended tenant-scoped access, least-privilege integrations and evidence boundaries must be implemented and tested before enterprise deployment.
FUTURE DIRECTIONS
A foundation for coordination-heavy work.
Possible future applications include vendor onboarding, compliance evidence collection, operational exceptions, procurement coordination and internal approvals.
Less repetitive coordination
Reduce repeated information gathering and make handoffs easier to follow.
Clearer approval ownership
Provide visibility into who reviews each decision and what evidence supports it.
Traceable execution
Maintain consistent evidence and decision records, with opportunities to improve operational efficiency.