Most process mining engagements take 3–9 months from kickoff to first measurable outcomes. This guide breaks down the typical timeline by phase, what to expect at each milestone, and how to spot when an engagement is going off-track.
Typical timeline
Weeks 1–2: Discovery, stakeholder mapping, data inventory, hypothesis generation
Weeks 3–6: Diagnose, event-log extraction, process discovery, variant analysis, ROI quantification
Weeks 5–8: Design, target operating model, automation backlog, business case
Months 3–9: Deliver, implementation of automations, monitoring dashboards, change management
Ongoing: Sustain, health reviews, continuous improvement, capability transfer
Faster timelines (2–4 months)
Pre-existing event-log infrastructure, single-process focus, dedicated client team, and tool already in place can compress the timeline to 8–16 weeks for first measurable outcomes.
Slower timelines (9–18 months)
Complex multi-system landscapes, poor data quality, organizational change resistance, or simultaneous tool selection extend timelines significantly. Plan accordingly.
Warning signs
- Phase 1 stretching past 4 weeks (data access issues)
- Phase 2 producing no clear findings (poor data quality)
- Phase 3 in design loop without leadership decisions (no executive sponsor)
- Phase 4 implementing without measurable KPIs (scope creep)
See our 5-phase methodology for full detail. Talk to us about your timeline expectations.