You don’t need a consulting engagement or a six-month project to build an AI workflow map. Automated process discovery uses data your systems already have to show how the work actually flows, where AI is involved, and where to optimize next.
Automated process discovery captures workflow data from system event logs, application telemetry, and workflow activity, then uses it to identify and describe workflows. What this kind of system records, and what employees describe, are rarely the same.
In our experience, organizations almost always discover more AI activity than IT tracks. The process map often surprises even well-informed leadership teams.
AI workflow mapping is never finished. The map is updated continuously as workplace demands and AI tools, agents, and adoption patterns evolve.
Our State of Enterprise AI 2026 report found only 17% of organizations actually connect AI investment to business benefit. An AI workflow map gives leaders, such as CIOs, CFOs, and CHROs, a shared evidence base to make data-driven decisions. Without it, AI governance is guesswork, and board-level ROI questions go unanswered.
Automated process discovery uses software to detect and document how work flows end-to-end. It analyzes ERP event logs, CRM activity, browser telemetry, and application interactions to build a process model that reflects what actually happens. Process mining is narrower, because it focuses on structured logs from known systems. Automated process discovery combines process mining, task mining, and workflow telemetry to capture a broader view of work, including shadow AI activity that may not appear in most enterprise logs.
Process discovery is the foundation of process intelligence. It tells you what’s happening. Process intelligence builds on process discovery by explaining why workflows behave the way they do and suggesting how to improve them. As agentic AI systems spread, discovery becomes essential, because AI agents make decisions and trigger downstream actions that are invisible without structured discovery.
Larridin’s Workflow Intelligence platform captures human use of AI tools and AI agent interactions, giving leaders a current view of how intelligent automation operates across the organization.
Start by deploying automated process discovery through a platform like Workflow Intelligence. Traditional consulting-led process mapping depends on a lengthy process that includes interviews, workshops, static documentation, and reporting. By the time the diagram is done, workplace demands may have shifted, AI tools may have changed, and teams may already be working differently. Automated discovery gives you a faster baseline grounded in observed behavior.
Use automated process discovery to greatly speed up the process, and to identify:
● AI tools and agents in use, mapped by team, workflow, and use case
● Shadow AI subscriptions and personal accounts that are being used for work
● AI agent and bot interactions that most event logs may not capture
● Gaps between documented processes and actual workflow execution
Connect the tools discovered to the processes that they support. Document inputs, AI processing, outputs, and handoffs at each step. Note process variations and inefficiencies across teams doing the same work. We consistently see valuable AI-powered workflows in one team that the rest of the organization could benefit from, but those workflows stay invisible until discovery surfaces and documents them.
Our AI Adoption dashboard shows utilization across teams. Our AI Fluency measurement capability tracks proficiency across functions. Our AI Impact platform connects these signals to business outcomes: time saved, cycle time, and cost reductions. McKinsey's State of AI 2025 found that top performers define processes for validating AI output quality.
Use the baseline to identify the highest-value improvement and automation opportunities:
Use the map to turn visibility into action:
Your AI workflow map is a living process model. Its value grows over time as you build a continuous record of how AI reshapes work.
Automated process discovery uses software to detect and document how work flows through an organization from system event logs and workflow telemetry. Automation captures what actually happens, rather than what employees describe.
Browser and desktop telemetry, ERP and CRM event logs, API call data, and AI tool usage records. Larridin's discovery layer is privacy-first and captures workflow patterns without recording content.
Process mining extracts models from structured enterprise event logs. Process discovery is broader and combines process mining with task mining and workflow telemetry across systems, including shadow AI tools that generate no formal event logs.
Measurement connects the map to business outcomes. Analysis identifies the highest-value opportunities. Process optimization and standardization turn those opportunities into repeatable, scalable workflows that streamline operations.
Larridin Workflow Intelligence deploys in days and gives you a continuously updated AI workflow map and the process intelligence you need to lead with confidence. Every week without workflow visibility is a week of AI governance decisions made on incomplete process data.
Book a discovery call to see how Larridin maps AI workflows in real time.