Process mining can be approached three ways: build it in-house, buy a tool and use it yourselves, or hire a consulting partner. Each path has trade-offs. This guide helps you decide which is right for your organization.

Build in-house

Build process mining capabilities entirely with internal data engineering and analytics teams. Use open-source frameworks (PM4Py, Apromore) and custom dashboards on Kafka/Flink for streaming.

Best for: Organizations with strong existing data engineering capabilities, unique data sources that packaged platforms don’t handle, and timelines longer than 12 months.

Drawbacks: 12+ months to first useful output, ongoing engineering investment, no vendor support.

Buy a tool and use it yourselves

License Celonis, Signavio, ABBYY, or another platform and have your internal team learn and operate it.

Best for: Organizations with existing analytics teams, willingness to invest 6–9 months in capability building, and timelines that allow for slow ramp-up.

Drawbacks: Significant time-to-value lag, expert-level skill required to extract real insight, often results in expensive shelfware if the team can’t get started.

Hire a consulting partner

Engage a process mining consulting firm (like Zenotris) to deliver the capability — including tool selection, implementation, analysis, and capability transfer.

Best for: Organizations that need results in 3–9 months, lack internal process intelligence expertise, and want capability transfer at the end.

Drawbacks: Higher upfront cost than just licensing a tool, dependency on partner during engagement.

Hybrid models

Most successful programs use a hybrid: hire a consulting partner for initial implementation and capability transfer, then transition to internal team operation with optional sustain advisory. This combines speed-to-value with long-term self-sufficiency.

Decision framework

  • Need results in 6 months? Hire
  • Have strong internal data engineering? Build or buy
  • Want long-term internal capability? Hybrid (hire then transition)
  • SAP-heavy with existing licenses? Buy Signavio + supplement with consulting

Talk through your specific situation

The right answer depends on your specific data environment, team capabilities, timeline, and budget. Book a free advisory call.