Case Study

Case Study: How a Chicago Consulting Firm Increased Billable Hours by 34%

By Peter Schliesmann9 min read
Case Study: How a Chicago Consulting Firm Increased Billable Hours by 34%

Executive Summary

A Chicago-based management consulting firm with 28 consultants was struggling with low billable utilization, inaccurate time tracking, and poor resource allocation. Their challenges included:

  • 62% billable utilization vs. industry benchmark of 75%+
  • $840,000 annual revenue leakage from unbilled hours
  • 12 hours weekly spent on manual timesheet review and correction
  • Reactive resource allocation causing consultant burnout
  • 18% average project margin vs. 28% target

In 90 days, Dooder Digital implemented an AI-powered resource optimization and intelligent time tracking solution that:

  • ✅ Increased billable utilization from 62% to 83% (34% increase)
  • ✅ Recovered $720,000 annually in previously unbilled time
  • ✅ Reduced timesheet admin time from 12 hours to 1.5 hours weekly (88% reduction)
  • ✅ Improved project margin from 18% to 28% (56% improvement)
  • ✅ Reduced consultant overtime by 40%
  • ✅ Achieved 540% ROI in first year

The Challenge

Business Context

This boutique management consulting firm specializes in strategy and operational improvement for mid-market companies. With annual revenue of $8.5M and 28 consultants, they compete against larger firms by delivering personalized service and deep expertise.

Pain Points

Low Billable Utilization

  • 62% billable utilization across all consultants
  • 13% industry gap costing $840,000 annually
  • Wide variance: 45% (worst) to 78% (best) utilization
  • Partners unable to identify root causes or improvement opportunities

Inaccurate Time Tracking

  • Manual time entry at end of week (avg. 72-hour delay)
  • 35% of consultants forget to log time, require follow-up
  • 12% error rate on time entries (wrong client, wrong task)
  • 12 hours weekly spent by ops manager correcting timesheets
  • $15,000 monthly write-offs due to unbillable corrections

Poor Resource Allocation

  • Reactive staffing based on whoever is available
  • No visibility into upcoming bench time or overbooking
  • Skills mismatch on 22% of project assignments
  • Senior consultants doing junior-level work
  • 15 hours weekly spent on resource allocation meetings

Project Profitability Issues

  • Average project margin: 18% (target: 28%)
  • Scope creep undetected until project close
  • Budget overruns on 42% of projects
  • Poor visibility into real-time project health
  • Limited ability to course-correct during engagements

Employee Satisfaction

  • 45% of consultants working 50+ hours weekly
  • High variation in workload distribution
  • Burnout contributing to 25% annual turnover
  • Limited professional development time
  • Frustration with administrative overhead

Technical Environment

  • Project Management: Monday.com
  • Time Tracking: Manual entries in Excel, consolidated weekly
  • Billing: QuickBooks Online
  • CRM: HubSpot
  • Collaboration: Microsoft 365
  • Volume: 40-50 active projects monthly

Our Solution

Discovery & Assessment (Week 1-2)

Process Mapping

  • Shadowed consultants, project managers, and operations team for 1 week
  • Mapped current time tracking, resource allocation, and billing workflows
  • Analyzed 12 months of project data (480 projects, 85,000 time entries)
  • Identified 18 distinct inefficiencies in current processes

Data Analysis

  • 62% overall utilization (productive: 52%, admin: 10%, bench: 38%)
  • $2.1M in unbilled time annually (correctable errors + forgotten entries)
  • 72-hour avg. delay between work and time entry
  • 22% of project assignments didn't match consultant skill levels
  • Projects with skills mismatch had 35% lower margins

Requirements Gathering

  • Interviewed all partners, 12 consultants, operations manager, finance manager
  • Reviewed sample projects across service lines
  • Assessed integration requirements with Monday.com and QuickBooks
  • Defined success metrics and acceptance criteria

Solution Design (Week 2-3)

Technology Selection

  • AI Time Tracking: Timely (automatic time capture + AI categorization)
  • Resource Optimization: Custom ML model using Python (scikit-learn)
  • Project Analytics: Power BI with real-time data feeds
  • Workflow Automation: Monday.com automations + Zapier
  • Skills Matrix: Custom database with AI skill-matching algorithm
  • Integration Hub: Make (formerly Integromat) for API orchestration

Architecture

Auto Time Capture (Timely) → AI Categorization →
Skills-Based Resource Matching → Project Analytics Dashboard →
Predictive Alerts → Automated Billing → QuickBooks Integration

Implementation (Week 4-10)

Phase 1: Intelligent Time Tracking (Week 4-6)

  • Deployed Timely to all 28 consultants
  • Automatic capture of app/website usage, document editing, meetings
  • Trained AI model to categorize time by client and project
  • Built approval workflow for categorized time
  • Integrated with Monday.com project codes
  • Achieved 92% auto-categorization accuracy after 2 weeks

Phase 2: Resource Optimization Model (Week 6-8)

  • Built comprehensive skills matrix (25 dimensions across 28 consultants)
  • Developed predictive model for:
    • Optimal consultant-project matching based on skills
    • Utilization forecasting (2-week and 8-week outlook)
    • Bench time predictions
    • Workload balancing recommendations
  • Created automated alerts for:
    • Consultants >45 hours/week (burnout risk)
    • Consultants <30 hours/week (bench time)
    • Skills mismatches on assignments
    • Projects trending over budget

Phase 3: Project Analytics & Dashboards (Week 8-10)

  • Built real-time dashboards:
    • Executive: Firm-wide utilization, revenue forecast, margin trends
    • Partner: Project health, resource allocation, capacity planning
    • Ops: Timesheet compliance, corrections needed, billing queue
    • Consultant: Personal utilization, project hours, career development time
  • Predictive project margin forecasting
  • Automated weekly reports to stakeholders
  • Integration with QuickBooks for streamlined billing

Phase 4: Training & Go-Live (Week 11-12)

  • Trained all consultants on Timely (2 hours)
  • Trained partners and ops on resource optimization tools (4 hours)
  • Soft launch with 3 project teams
  • Monitored adoption and refined AI categorization
  • Full rollout across all 28 consultants
  • Documented best practices and workflows

Change Management

Consultant Enablement

  • Positioned automatic time tracking as reducing admin burden
  • Emphasized privacy protections (no screen capture, only activity metadata)
  • Created video tutorials for common scenarios
  • Weekly adoption metrics and recognition for top users
  • One-on-one coaching for resistant consultants

Leadership Buy-In

  • Monthly steering committee with partners
  • ROI projections updated with real data weekly
  • Demonstrated quick wins in first 30 days
  • Partner champions identified for each service line

Process Redesign

  • Eliminated weekly timesheet review meetings
  • Shifted to proactive resource allocation vs. reactive
  • Created "Career Development Time" budget (5% of capacity)
  • Implemented skills-based matching for all new assignments

Results & Impact

Quantitative Outcomes

Utilization Improvements

Metric Before After Improvement
Overall billable utilization 62% 83% 34% increase
Avg. billable hours/week 24.8 hrs 33.2 hrs 8.4 hrs increase
Time entry accuracy 88% 98.5% 12% improvement
Avg. time entry delay 72 hours 4 hours 94% reduction
Admin time per consultant 3 hrs/week 0.5 hrs/week 83% reduction

Resource Allocation

Metric Before After Improvement
Skills match rate 78% 96% 23% increase
Bench time 38% 17% 55% reduction
Consultants >50 hrs/week 45% 12% 73% reduction
Resource allocation time 15 hrs/week 2 hrs/week 87% reduction
Avg. assignment satisfaction 3.1/5 4.3/5 39% increase

Project Performance

Metric Before After Improvement
Avg. project margin 18% 28% 56% improvement
Projects over budget 42% 14% 67% reduction
Budget variance -12% -3% 75% improvement
Scope creep detection time At close Real-time N/A
Client satisfaction (NPS) 42 58 38% increase

Financial Impact

Category Annual Value
Increased billable hours $672,000
Reduced time write-offs $48,000
Improved project margins $145,000
Reduced admin overhead $35,000
Total Annual Value $900,000

Investment & ROI

  • Implementation cost: $38,000
  • Annual licensing: $28,000
  • Net first-year value: $834,000
  • First-year ROI: 540%
  • Payback period: 0.7 months

Qualitative Benefits

Operational

  • Operations team refocused from timesheet policing to strategic initiatives
  • Real-time project health visibility enables proactive interventions
  • Skills-based matching improves project quality and consultant satisfaction
  • Automated billing process reduces DSO from 42 to 28 days

Strategic

  • Accurate utilization data informs hiring decisions
  • Capacity forecasting enables proactive business development
  • Margin visibility by service line guides portfolio optimization
  • Foundation for AI-driven talent development planning

Employee Experience

  • Consultants appreciate automatic time tracking (vs. manual entry)
  • Fairer workload distribution reduces burnout
  • Skills-based matching improves professional growth
  • 40% reduction in turnover (from 25% to 15%)
  • Career development time protects learning and growth

Client Impact

  • Better skills matching improves project outcomes
  • Proactive budget management prevents overruns
  • Consistent resourcing throughout engagement
  • Higher NPS drives 22% increase in repeat business

Client Testimonial

"Dooder Digital's AI-powered solution transformed how we run our consulting firm. We went from 62% to 83% billable utilization—that's an extra $720,000 in revenue without adding headcount. Our consultants love the automatic time tracking, and our partners love the real-time visibility into project health and capacity. The 34% increase in billable hours is incredible, but the real win is sustainable growth without burning out our team. This positions us to scale from $8.5M to $12M+ in revenue."

— Managing Partner, Chicago Management Consulting Firm


Key Success Factors

What Made This Project Successful

  1. Consultant Buy-In: Positioned automation as reducing admin burden, not surveillance
  2. Skills-Based Matching: Comprehensive skills matrix enabled intelligent resource allocation
  3. Real-Time Data: Shifted from reactive to predictive project management
  4. Change Management: Partners championed adoption and modeled desired behaviors
  5. Iterative Refinement: Continuously improved AI categorization based on consultant feedback

Lessons Learned

Challenge: Initial consultant resistance to automatic time tracking (privacy concerns) Solution: Transparency about what data is collected, consultant control over categorization, emphasis on admin time savings. Adoption increased from 65% to 98%.

Challenge: AI initially struggled with categorizing unbillable activities (BD, admin, training) Solution: Created dedicated categories, improved training data, added manual override option. Accuracy increased from 78% to 92%.

Challenge: Partners initially didn't trust resource optimization recommendations Solution: Ran parallel assignments (AI vs. manual) for 4 weeks, demonstrated 18% better project outcomes with AI matching. Read more about our change management approach.


Next Steps for the Client

Following the success of resource optimization, the firm is now exploring:


How Dooder Digital Can Help Your Professional Services Firm

Is your firm struggling with low billable utilization, inaccurate time tracking, or inefficient resource allocation?

We can help you achieve similar results:

  • ✅ Free 30-minute assessment of your current utilization and processes
  • ✅ ROI projection based on your consultant count and billable rates
  • ✅ 90-day implementation timeline
  • ✅ Integration with your existing project management and billing systems
  • ✅ Change management and training included

📞 Contact us today:


About This Case Study

Industry: Professional Services (Management Consulting) Firm Size: 28 consultants, $8.5M revenue Location: Greater Chicago Area Project Duration: 90 days (discovery to go-live) Technologies Used: Timely, Python (scikit-learn), Power BI, Monday.com, QuickBooks Online, Make, Zapier Services Provided: AI Analytics, Process Automation, Resource Optimization, Change Management