AI benchmarks delivery models per LOB with fixed price vs. T&M vs. outcome-based analysis. Prescriptive recommendations drive continuous optimization.
18%
Cost Optimization Identified
34
Models Analyzed
active engagements
18%
Cost Optimization
avg savings identified
8
Outcome-Based Candidates
engagements suitable
5
Model Switches YTD
T&M to outcome
Delivery Benchmarking Agent
Benchmarks delivery models against industry standards, historical performance, and peer comparisons for each LOB.
456
decisions
95.8%
accuracy
Analysis complete: outcome-based model for Cloud Ops would reduce cost 22% vs current T&M arrangement.
Model Recommendation Agent
Generates prescriptive recommendations for delivery model switches based on engagement maturity, risk profile, and savings potential.
234
decisions
93.4%
accuracy
Recommended hybrid model for Data Analytics: 30% onshore / 70% offshore. Quality metrics support this split.
Continuous Optimization Agent
Monitors ongoing engagements for model drift, SLA degradation, and optimization opportunities in real-time.
178
decisions
96.2%
accuracy
Weekly optimization scan complete: 2 engagements showing improved metrics post model switch.
Cloud Ops engagement with Vendor Y — switch from T&M to outcome-based model. Projected savings: $1.8M annually.
Hybrid model recommendation for Data Analytics: 30% onshore / 70% offshore with Vendor Z.
Weekly optimization scan: 2 engagements showing 15% improved delivery metrics post model switch.
Industry benchmark update: outcome-based pricing adoption up 34% across Fortune 500 IT outsourcing.
New recommendation: App Modernization engagement should transition to fixed-price Phase 2 delivery.
SLA monitoring: Vendor X Cloud Eng engagement showing 8% degradation in response time metrics.
Cost analysis: T&M engagements costing 22% more than equivalent outcome-based arrangements on average.
Quarterly delivery model review complete: 8 T&M engagements recommended for outcome-based transition.
Post-switch analysis: 3 recent T&M-to-outcome transitions showing avg 19% cost reduction.
Vendor capability assessment: 6 vendors qualified for outcome-based delivery models.
AI-generated business intelligence
Eight current T&M engagements are prime candidates for outcome-based pricing, representing $12M in annual spend. Historical data from 5 completed transitions shows an average 18% cost savings while improving SLA adherence by 12%. The Cloud Ops engagement with Vendor Y alone could save $1.8M annually with an outcome-based switch.
AI-powered delivery benchmarking compares each engagement against industry standards, peer performance, and historical outcomes — not generic best practices but data-driven recommendations.
Prescriptive model switching identifies exactly when and how to transition between T&M, fixed-price, and outcome-based models based on engagement maturity and risk profile.
Continuous optimization monitoring detects model drift and SLA degradation in real-time, triggering proactive intervention before delivery quality suffers.