The scoping targets, stated as assumptions rather than promised results: lift utilization within 90 days by matching consultants to engagements on skill and margin fit instead of who looks available, which is targeted to add several billable days per consultant a year. Write-offs on fixed-fee engagements are the same mechanism running earlier: catching margin compression within days of occurrence, instead of at project close, is what gives you room to renegotiate scope or reallocate before the loss is locked in. Proposal turnaround is scoped to drop from the 10-14 day range toward 2-3 days because staffing availability is already current instead of manually verified, and speed itself is a competitive signal in bids where clients are comparing responsiveness. What that is worth to your firm depends on headcount, rate structure, and current write-off history - price it against your own numbers before you commit to anything. The free AI Opportunity Assessment is where that conversation starts: a directional read, not a substitute for running the math yourself.
The return is scoped to compound over 12 months as the AI's learning loop accelerates. Early recommendations lean on historical patterns; within 60-90 days, the system has observed real staffing outcomes and starts surfacing firm-specific patterns - which skill combinations reduce client churn, which engagement types correlate with margin compression - that HR can turn into standing policy. By month 12, the combined effect of better utilization, fewer write-offs, faster proposals, and less bench time is what the engagement is built to compound. Your actual payback period comes out of the audit, not a benchmark slide.