BrightApps

AI infrastructure for staffing organizations that run on data and speed.

Staffing firms coordinate candidates, clients, schedulers, and compliance requirements across dozens of systems simultaneously. We build the AI layer that connects those systems and removes the coordination overhead.

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[Illustration: Connected candidate, client, and scheduling system nodes]

The Problem

Candidate coordination overhead

Managing placements across ATS, email, and scheduling systems without a unified view creates gaps that cost placements.

Compliance and credentialing tracking

Credential expiration, background check status, and compliance documentation live in separate systems with no automatic alert layer.

Client communication fragmentation

Account managers maintain relationships across email, HubSpot, and Slack with no consolidated view of where each client relationship stands.

How BrightApps Helps

Unified execution layer

Connect ATS, compliance tracker, calendar, and CRM into a single Slack-accessible system.

Real-time coordination

Surface scheduling conflicts, credentialing gaps, and follow-ups before they cost placements.

Compliance-grade architecture

Audit trails, encryption, and least-privilege access built in from the start.

Orva in This Industry

How Orva handles this

A staffing operations manager types 'show me every open role with a credentialing gap and flag the account manager' into Slack. Orva pulls from the ATS, the compliance tracker, and HubSpot, and delivers a prioritized list in under thirty seconds.

Anonymous Case Study
The situation

A nationally recognized staffing firm operating at enterprise scale needed an AI system that could manage scheduling, candidate coordination, and internal communication workflows across its full technology stack.

What we built

Custom AI infrastructure on the Orva engine, integrating the firm's ATS, compliance tracker, calendar, and CRM into a single execution layer accessible from Slack.

The outcome

Eliminated a dedicated middleware role and reduced manual coordination overhead by more than half within the first quarter of deployment.

Ready to see what AI infrastructure actually looks like?

Discovery calls are the starting point. Tell us about your organization and we'll tell you whether we're the right fit.