A global executive search firm came to Armakuni for transforming a manual, vendor-locked executive search platform into an AI-native system: building agentic candidate discovery, stabilizing ML-powered candidate ranking, replacing fragmented analytics with AWS-native self-service intelligence, and migrating a proprietary cloud foundation to full internal ownership.
The challenge
A fully AWS-funded GenAI discovery assessment grew into a six-contract engagement covering infrastructure modernization, ML Ops, analytics, and a full agentic recruiting platform. Armakuni now owns the architecture for every major technical capability on the A global C-suite and board-level search firm platform.
Scale: Global executive search firm placing senior leaders across industries. Multi-tenant AWS platform managing thousands of candidate profiles and recruiter workflows across multiple practice areas.
What we built
Armakuni delivered transforming a manual, vendor-locked executive search platform into an AI-native system: building agentic candidate discovery, stabilizing ML-powered candidate ranking, replacing fragmented analytics with AWS-native self-service intelligence, and migrating a proprietary cloud foundation to full internal ownership. The engagement ran as assessment SOW (GenAI Discovery, fully AWS-funded). Fixed-scope implementation SOWs (Infrastructure Modernization and EKS Pipeline Replacement, Recruitment Assistant Proof of Value). Flexible Engineering PODs (ML Ops, Agentic Recruiting Assistant). Analytics build (QuickSight BI and Q). The work was AWS funded.
The outcomes
6 measurable outcomes shipped across the engagement. The ones that moved the business the most:
The December 2025 vendor shutdown landed with zero disruption. Every workload now runs on AWS-native systems the firm owns and operates itself, and the hard deadline that could have stopped the platform passed without incident.
The candidate-ranking system is now monitored and quality-controlled for the first time. Failures surface to engineers before they reach search results, and every new model is checked against production with automatic rollback.
Profile enrichment from recruiter calls and emails is now automated. Extraction and CRM write-back happen on their own, so candidate profiles update after every interaction without manual data entry.
Hiring managers can now find and evaluate candidates by talking to an AI agent. The agent does the discovery work and returns a ranked, reasoned shortlist, freeing recruiters to focus on judgment and relationships.
Leadership can ask business questions directly and get answers without an analyst. Revenue, margin, and pipeline are self-service for the CEO and board, with all business data staying inside AWS.
A fully funded discovery assessment opened a six-contract engagement. It gave the firm a complete AI roadmap at no cost, and Armakuni now owns the architecture across infrastructure, machine learning, analytics, and AI recruiting.
Built on AWS
Delivered under our AWS AI Services, Migration and Modernization competencies.
What's next
Expanding the agentic platform to additional high-volume search workflows. Enhanced ML model persona fit scoring and interview outcome feedback loops in production. External client-facing analytics embedded inside the A global C-suite and board-level search firm platform. Recruiter-facing analytics views.