ProFinda now matches talent in 4 seconds with support from Loka and AI
Industries
Professional Services,
Workforce Optimization
Tech & TOOLS
AWS SageMaker, Anthropic Claude, Amazon Bedrock, AWS Lambda, Amazon EventBridge, Amazon API Gateway, Amazon RDS, Amazon S3, Amazon CloudWatch
Teams & Services
AI & ML, Cloud Engineering,
Data Engineering, DevOps
milestones
4 seconds to identify best talent, 1 explanation layer, 2 execution modes, 1 integrated workflow
Industry
Professional Services,
Workforce Optimization
Tech & TOOLS
AWS SageMaker, Anthropic Claude, Amazon Bedrock, AWS Lambda, Amazon EventBridge, Amazon API Gateway, Amazon RDS, Amazon S3, Amazon CloudWatch
Teams & Services
AI & ML, Cloud Engineering,
Data Engineering, DevOps
milestones
4 seconds to identify best talent, 1 explanation layer, 2 execution modes, 1 integrated workflow
ProFinda uses AI on AWS to match talent to project roles and explain recommendations in natural language.
The situation
ProFinda is a workforce optimization platform that helps professional services organizations match people and skills to project demand. Its AI-powered platform considers skills, experience, availability, location, cost, and other factors to recommend the best-fit talent.
ProFinda wanted to extend its platform with generative AI capabilities that could not only identify the strongest candidates for a role, but also explain why those candidates were selected.
The company partnered with Loka to develop an AI-powered matching and explanation solution on AWS, giving staffing teams faster recommendations and clear, human-readable reasoning behind each decision.
The challenge
ProFinda needed to move beyond traditional candidate search and create an intelligent matching process that could evaluate multiple factors simultaneously, including skills, grade, location, and availability.
The solution also needed to make AI-generated recommendations easier for decision-makers to understand. Rather than simply presenting a ranked list, the system needed to explain the strengths and tradeoffs of each recommended profile.
ProFinda also needed a flexible architecture that could run matching and explanation workflows on demand or on a schedule, while providing API-based access and production-ready AWS infrastructure.
The solution
Loka developed a two-part AI solution on AWS. The first component is an optimization engine that scores and ranks candidates for open roles using configurable weights across skills, grade, location, and availability.
The second component uses Anthropic Claude on Amazon Bedrock to analyze the matching results and generate natural-language explanations, including the reasons a candidate was selected along with relevant pros and cons.
AWS SageMaker, Amazon Bedrock, AWS Lambda, and Amazon EventBridge orchestrate the AI workflows, while API Gateway provides API-based access. The architecture supports both on-demand and scheduled execution.
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What we delivered
AI-powered talent matching
4 seconds: ProFinda's optimization engine evaluates candidate factors and generates best-fit recommendations for roles.
Natural-language explanations
1 explanation layer: Anthropic Claude on Amazon Bedrock transforms matching results into clear summaries of why candidates were selected, including strengths and tradeoffs.
Configurable optimization
4 core factors: The matching engine evaluates skills, grade, location, and availability using customizable scoring weights.
Event-driven AI workflows
2 execution modes: Loka enabled matching and explanation workflows to run on demand or at scheduled intervals using AWS services.
API-based access
1 integrated workflow: API Gateway provides access to the AI capabilities, connecting recommendations and explanations to ProFinda's platform.
Project results
Loka gave ProFinda a working AI-powered foundation for intelligent workforce matching and transparent staffing recommendations. The solution pairs optimization algorithms with GenAI, including Anthropic Claude, so decision-makers can quickly identify qualified candidates and understand the reasoning behind each recommendation.
4 seconds: ProFinda's optimization engine is designed to identify optimal matches rapidly, supporting thousands of roles in enterprise-scale environments.
Skills-based matching: Ranked candidates based on skills, grade, location, and availability rather than simple keyword searches.
Explainable recommendations: Generated natural-language summaries that make AI-driven staffing recommendations easier to evaluate.
Automated workflows: Enabled on-demand and scheduled execution through event-driven AWS services.
Production-ready prototype: Delivered an operational AWS prototype with integrated triggers and API-based access.
