pipeiq logopipeiq emblem
Menu

AI Process Mining Agents

Continuous discovery, variant analysis, and conformance checking — embedded in the workflow, not stuck in a dashboard. A modern alternative to traditional process mining suites.

Why traditional process mining stalls

Classic process mining suites — Celonis, SAP Signavio, UiPath Process Mining — built incredible discovery engines and bolted them to a dashboard. The discovery is real. The dashboard is the problem.

AI agents change the unit of value from "view the map" to "act on the map." The same algorithms run continuously, surface deviations the moment they appear, and route them to the system that can fix them.

What's Broken Today

Mining as a project, not a capability

Classic process mining engagements ship a deck, a dashboard, and a backlog. Six months later the process has changed and the deck is wrong.

Dashboard fatigue

Every team gets a process explorer login. Almost nobody opens it after the kickoff. The insights sit in a tool, not in the workflow.

Conformance gaps go cold

Deviation from the happy path gets flagged in the tool but no one is on the hook to act on it. Variants pile up; root causes don't.

Mid-market priced out

Enterprise process mining licenses start in the six figures before consulting. Most banks, manufacturers, and operators can't justify it for a single department.

Agent Capabilities

Continuous Discovery

Agents re-mine the event log on a schedule or on data change — process maps stay current without a refresh project.

Variant Analysis at Scale

Cluster process variants, surface the most expensive deviations, and rank them by financial impact. The top 10 variants usually cover 80% of waste.

Conformance Checking

Compare the discovered process against the documented SOP or BPMN reference. Auto-generate conformance reports for SOX and ISO audits.

Root-Cause Reasoning

Agents combine process mining with causal analysis: not just 'this case took 14 days' but 'because step X waited on supplier Y on Mondays.'

Action Triggers

When the agent detects a known waste pattern or a new variant above a threshold, it opens a ticket, routes to the owner, or triggers a downstream workflow.

Natural-Language Querying

Ask 'why are returns from Region 3 spiking' and get a process-aware answer with the variant trace, not a generic LLM summary.

Event Sources We Mine

Agents handle extraction, alignment, and case stitching across whatever holds your truth.

  • ERP — SAP, Oracle, NetSuite, Microsoft Dynamics
  • CRM — Salesforce, HubSpot, Dynamics CRM
  • ITSM — ServiceNow, Jira Service Management, Zendesk
  • Core Banking — Temenos, Finacle, FIS
  • MES / SCADA — Rockwell, Siemens, AVEVA
  • Custom systems via Kafka, REST, or JDBC

Frequently Asked Questions

How is PipeIQ process mining different from Celonis or SAP Signavio?

The traditional vendors built dashboard-first products: you license the platform, run a mining project, and look at the maps. PipeIQ is agent-first: the same discovery, variant analysis, and conformance checking run continuously, embedded in the workflow, and tied to action triggers. The mining is a means, not the product. We typically come in 60–80% lower in total cost for a comparable scope.

Do we need to standardize event-log schemas before we start?

No. Agents handle the extraction, alignment, and case-ID stitching that traditional mining requires you to do upfront. Most engagements start with two or three source systems and add more as the value proves out. A clean Lakehouse is the cleanest path; we also work with raw extracts.

Can process mining agents run on regulated workloads (banking, healthcare)?

Yes. Agents run inside your VPC or sovereign region, log every data access and inference, and produce audit packages mapped to SR 11-7, SOX, GxP, HIPAA, and equivalent frameworks. See the financial-services and process-improvement-agents pages for the regulatory mapping.

How long until we see the first discovered variant?

Two to three weeks for the first end-to-end process map with variant analysis and conformance scoring. The first action-triggering automations follow 4–6 weeks later. We benchmark every engagement against a baseline cycle-time or cost metric you pick on day one.

What if our process is mostly manual with poor event data?

We use process mining only where event data is rich enough to be informative. For manual processes, agents observe through screen recording, email metadata, and document timestamps — task mining rather than classical process mining. The two are complementary and ship together when needed.

Run it on your event log

Bring a single process — order-to-cash, claims, loan operations, ticket resolution — and we'll show you the discovered map, top variants, and a ranked backlog in under three weeks.

© 2025 PipeIQ — AI Process Mining Agents.
pipeiq logopipeiq emblem
Accelerate Revenue With OurAutonomous Sales Acceleration Platform