Professional Services
Optimize utilization, project profitability, and talent deployment
Maximize billable utilization, model project profitability before staffing, forecast capacity gaps, and retain top talent, turning tribal knowledge into structured decision models for professional services firms.
0+
Services Models
LP
Scheduling
Margin
Intelligence
Challenges We Solve
Industry-specific pain points that structured decision models eliminate.
Utilization Blind Spots
Billable utilization targets are tracked monthly but managed reactively. Model utilization by practice, grade, and skill to optimize staffing decisions before revenue leaks.
Project Profitability Surprises
Projects look profitable at proposal but erode margins through scope creep, write-offs, and senior overallocation. Model project economics before staffing, not after close.
Capacity Guesswork
Hiring decisions are based on pipeline hopes, not modeled demand. Forecast bench time, contractor needs, and hiring triggers from pipeline and backlog data.
Talent Retention Gaps
Top performers leave for competitors offering better project variety, growth, and compensation. Score retention risk from utilization patterns, project assignments, and career progression data.
Use Cases
Industry-specific scenarios powered by DecisionLedger.
Uses margin decomposition to identify that the Healthcare practice generates 42% margins while Technology runs at 18% due to senior overallocation and scope creep patterns, driving practice-level strategy changes.
Rebalanced practice mix and pricing strategy, lifting firm-wide margin from 28% to 34%
Runs the labor scheduling optimizer to staff 15 concurrent projects across 200 consultants, balancing billable utilization, skill match, travel preferences, and development assignments.
Increased billable utilization from 72% to 81% while improving project skill-match scores
Models headcount planning against pipeline forecast with Monte Carlo demand scenarios, determining optimal contractor/FTE mix and hiring triggers for each practice.
Reduced bench costs 35% with demand-driven hiring triggers instead of reactive staffing
Measurable Impact
Based on platform benchmarks across early adopters.
Billable Utilization
72% with reactive staffing
81% with LP-optimized scheduling
Project Margin
Discovered at project close
Real-time margin tracking with early warning
Bench Time
Reactive contractor backfill
Demand-modeled capacity planning
Collections
60-day average DSO
Prioritized collection strategies
Built for Professional Services
Utilization optimization, project economics, and capacity intelligence for firms that sell expertise.
Resource Optimization
LP-optimized staffing that balances utilization targets, skill requirements, client preferences, and employee development goals simultaneously.
Project Economics
Real-time margin tracking by project, client, and practice with early warning when actual hours deviate from estimates and profitability erodes.
Capacity Intelligence
Forward-looking capacity forecasting from pipeline, backlog, and historical patterns with contractor/FTE mix optimization and hiring trigger alerts.
Connects With
Part of 150+ native integrations across CRM, marketing, finance, HR, ecommerce, and analytics
Salesforce
HubSpot
QuickBooks
NetSuite
Asana
monday.com
Jira
Slack
Google Sheets
Power BISalesforceHubSpotQuickBooksNetSuiteAsanamonday.comJiraSlackGoogle SheetsPower BIFeatured Models
Pre-built decision models ready to run with your data.
Collections Strategy Optimizer
Predicts probability of collection, expected days-to-pay, and dispute likelihood, then recommends a prioritized outreach queue and cadence to accelerate cash receipts.
Contractor Employee Mix
Optimize workforce mix between contractors and employees under constraints.
Facility Utilization
Facility utilization analyzer. Tracks warehouse, office, and production space usage to identify underutilized areas, optimize layouts, and inform real estate decisions.
Headcount Planning
Builds monthly headcount waterfall from starting HC plus hires minus attrition, computes fully-loaded costs (base, benefits, tax, bonus, equity), models hiring ramp with productivity curves, merit cycles, one-time costs, and span-of-control metrics.
Labor Scheduling
Labor scheduling and utilization model. Balances overtime, idle time, and shift coverage to optimize workforce deployment and control labor costs.
Margin Profit Decomposition
Margin & Profit Decomposition Engine. Decomposes period-over-period profit change into six causal effects: pricing, volume, mix, labor, vendor, and overhead. Produces board-ready explanations, cost-cutting targets, and growth strategy signals.
Pipeline Sla Forecaster
Predicts the likelihood of delayed or failed refreshes based on job history, dependencies, and runtime patterns. Recommends preemptive actions.
Skills Gap Analysis
Analyzes workforce skills gaps by comparing required competency levels against current proficiency, with weighted criticality scoring, development prioritization, and readiness assessment.
How It Works
Three steps to structured, auditable decisions.
Connect Resource & Project Data
Pull timesheets from Harvest/Mavenlink, project data from Jira/Monday.com, and financials from NetSuite. Map resource pools, skills, and billing rates.
Optimize & Plan
Run utilization optimization, project profitability modeling, and capacity forecasting with constraint-based scheduling and Monte Carlo demand scenarios.
Staff & Track
Push staffing recommendations to project management systems, monitor margin realization, and track forecast accuracy against actual outcomes.
Your utilization report says 75%, your bench has 20 consultants, and your pipeline says you need 30 more. Something doesn't add up, but nobody can model it.
Spreadsheet resource plans
Static staffing models that can't optimize across skill, availability, and preference constraints
PSA tools alone
Time tracking and invoicing without utilization optimization or profitability modeling
Gut-feel hiring decisions
Hiring based on pipeline optimism instead of demand-modeled capacity forecasts
Manual project margin tracking
Discovering margin erosion at project close instead of detecting it in real time