Knowledge & evidence
Prototype assistants that retrieve, compare, summarize, and reason across policies, procedures, evidence, questionnaires, and internal knowledge.
Lucivence Labs
Build to understand.
Paid, tightly scoped AI prototypes and limited pilots designed around real business workflows, practical constraints, and a clear question worth testing.
Applied experimentation
Small systems. Real business problems.
Labs helps organizations explore AI without starting with a large transformation program. Define a workflow, build a bounded prototype, evaluate the result, and decide what is worth doing next.
Governance automation
Test workflows for AI intake, control mapping, policy analysis, risk triage, review support, and other governance-intensive processes.
Productivity & workflow agents
Prototype bounded agents that support intake, research, document handling, follow-up, routing, knowledge access, or repetitive internal workflows.
The lab method
Prototype first. Scale only if it earns the right.
Each engagement starts with a defined business problem and a constrained prototype. The objective is to learn what works, what fails, what needs human oversight, and whether broader implementation is justified.
- Problem and workflow definition
- Prototype design and development
- Data and access constraints
- Human oversight and guardrails
- Evaluation and failure analysis
- Demonstration, findings, and next-step roadmap
Responsible by design
Useful experiments still need boundaries.
Defined purposeClear users, tasks, data, and expected outcomes.
Human oversightAppropriate review for sensitive decisions and workflows.
Data awarenessAttention to privacy, confidentiality, access, and retention.
Measured learningA specific question the prototype is designed to answer.
Representative prototype scopes
What a paid prototype can test.
These are examples of bounded problems Lucivence can scope with a client—not claims of off-the-shelf products.
Control Evidence Reviewer
Test whether an AI workflow can compare evidence against control requirements, identify gaps, and prepare structured reviewer notes for human review.
Policy Intelligence Assistant
Test retrieval and reasoning across approved policies, standards, procedures, and governance material with traceable source support.
AI Risk Intake Agent
Test structured intake for AI use cases, including risk indicators, governance requirements, routing, and reviewer decision support.
Have a business problem worth discussing?
Start with a focused introductory conversation to understand the objective, determine whether the opportunity fits Labs or Advisory, and identify the right next step.
Have a workflow worth testing?
Start with a 30-minute conversation. If there is a strong fit, Lucivence can propose a paid, fixed-scope prototype or limited pilot.