Real-time vendor health model across delivery, CSAT, attrition, and innovation contribution. Surgical precision in partner selection and ongoing performance management.
7.8
Avg Vendor Health Score (/10)
24
Vendors Monitored
GSI partners
7.8/10
Health Score Avg
+0.3 this quarter
2
At-Risk Vendors
from 4 last quarter
94%
Match Accuracy
capability matching
Vendor Performance Agent
Monitors delivery SLAs, CSAT, attrition, and innovation contribution in real-time across all active vendors.
2,104
decisions
96.4%
accuracy
Vendor X performance score declined from 8.1 to 7.2 — attrition rate is the primary driving factor.
Partner Matching Agent
Maps vendor capabilities to business needs for strategic matchmaking. Considers skill depth, location, cost, and track record.
891
decisions
94.1%
accuracy
Identified 3 vendors with emerging ML Ops capability matching Q3 demand signal.
Vendor Risk Profiler
Continuously assesses financial health, key-person dependency, client concentration, and operational resilience of each vendor.
456
decisions
97.8%
accuracy
Completed quarterly financial health assessment for all 24 GSI partners. No new concerns identified.
Vendor X: delivery score 7.2/10 (down). Attrition 18% vs 12% threshold. Innovation: 2 proposals, 0 adopted.
Matched Vendor Z’s new MLOps practice to upcoming Data Platform modernization requirement.
Monthly CSAT survey results processed: avg 8.1/10 across 24 vendors. 3 vendors below 7.0 threshold.
Vendor W key-person dependency alert: 2 critical architects support 60% of engagement deliverables.
Skills matrix updated: 6 vendors now offer Gen AI capabilities vs 2 last quarter.
Quarterly financial health assessment complete for all 24 GSIs. All within acceptable parameters.
Innovation scorecard: Vendor Z leads with 5 adopted proposals this quarter. Vendor X trails with 0.
Demand forecast matched to vendor capacity: 3 potential bottlenecks identified for Q3 Cloud Eng surge.
Quarterly Business Review prep: automated scorecards generated for all 24 vendors with trend analysis.
Concentration analysis: Vendor X handles 34% of Cloud Eng workload. Recommend diversification.
AI-generated business intelligence
Vendor X performs at expectations in marketing engagements but has limited adoption of Google Cloud technologies and struggles with meeting contractual obligations consistently. Attrition in their Cloud Engineering team has risen to 18%, well above the 12% threshold. Recommend shifting 20% of Vendor X Cloud Eng workload to Vendor Z’s Pune delivery center, which shows 11% attrition and 15% cost advantage.
Real-time health scoring replaces quarterly scorecards with continuous, multi-dimensional assessment across delivery, satisfaction, attrition, innovation, and financial health.
Intelligent partner matching considers not just capability fit but historical performance, attrition trends, location risk, and cost optimization — delivering surgical precision in vendor selection.
Proactive risk profiling identifies key-person dependencies, client concentration risk, and financial health indicators before they become delivery problems.