Professional Services firms typically target 18-28% improvements in marketing-influenced utilization within the first six months, as programmatic spend shifts away from low-staffability segments toward leads that match current resource capacity. The write-off target is a 22-35% decline, because the system stops bidding on engagements that historically compress margins; simultaneously, new business win rates accelerate as faster, constraint-aware bid responses capture high-intent prospects before competitors. Worked example, assumptions visible: a firm with $50M in annual revenue and a 35% project margin target that achieves a 20% utilization improvement and a 28% write-off reduction models out to $850K - $1.2M in incremental profit annually. Rebuild that math with your own numbers before you believe it.
ROI compounds over 12 months because the AI model improves with every project completion. Months 1-3 establish baseline performance and reduce obvious waste; months 4-8 identify nuanced patterns (e.g., which service lines and client geographies correlate with repeat business and higher realization); months 9-12 target staffability predictions accurate enough to trust unattended and begin optimizing for long-term client lifetime value, not just immediate conversion. A rollout like this is scoped to show measurable improvement - reduced bid-to-win cycle time, lower cost-per-qualified-lead, and higher project margins - within 60 days of go-live, with payback modeled at 14-18 months.