Diligent4 captures the unwritten logic of daily work—how decisions are made, risks are handled, and tasks flow across teams—to create documented, reusable operational infrastructure. This infrastructure feeds AI agents with real‑world context and control, enabling safer, more efficient execution of high‑stakes workflows while reducing operational risk.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations rely on undocumented, tacit knowledge for routine, high‑stakes processes, causing inconsistencies, errors, and costly rework when automating or scaling tasks. Without a clear, structured representation of how work is actually performed, AI and RPA solutions lack the context needed to execute reliably, especially in regulated finance and operations environments.
Solution
Diligent4 captures a short screen recording and narrated explanation of a task, then transforms that input into a governed, structured workflow that AI agents or bots can execute autonomously. The platform extracts decision logic, risk handling, and exception rules from the recording, creating a single source of truth that can be version‑controlled and audited. Executions run in one shot, with built‑in safety controls that reduce errors and operational risk. The system also recommends the most appropriate execution method—LLM‑driven AI, RPA, or scripted automation—based on the workflow’s characteristics. This approach turns informal work practices into reusable, compliant infrastructure that scales across the enterprise.
Target Audience
Primary customers are finance, operations, and compliance teams in large enterprises that need reliable automation of high‑risk, repetitive processes, as well as automation/RPA developers seeking a structured source of truth for AI‑driven execution.
Features
- Screen‑recording capture tool with voice narration to document task steps and underlying logic
- Automated conversion of recordings into structured, governed workflows with role‑based access control
- Execution engine that runs workflows via AI agents, RPA bots, or scripts, selecting the optimal method per task
- Built‑in safety mechanisms, including exception handling, audit trails, and compliance checks for regulated environments
- Enterprise‑grade security: ISO 27001 certification, end‑to‑end encryption, MFA, RBAC, and no direct internet exposure
- Centralized repository that serves as a living system of record, enabling single‑source updates and consistent execution across teams