Government & public institutions

Processing times constituents won't accept. Backlogs leadership can't explain.

AI with human review to clear high-volume case backlogs: faster processing, fewer errors, full audit trail.

AWS
Headway
Microsoft
Nasdaq
You.com

Use cases

Which process is under the most pressure?

These are the workflows we deploy most for public sector agencies. Start with the one facing the highest volume, strictest compliance requirements, or longest backlogs.

Fraud detection & waste prevention

High-risk transactions often go unexamined due to volume.

Flag anomalies across procurement, benefits, and expense claims before improper payments clear.

Impact
Reduced improper payments
Faster anomaly resolution
Audit-ready documentation

Claims, benefits & case processing

Manual data extraction, verification, and routing create processing delays.

Automate routine data handling so case workers focus on decisions.

Impact
Faster case resolution
Reduced backlog
Lower cost per case

Portfolio management

Fragmented program data across disconnected systems creates visibility gaps for leadership.

Consolidate information from disparate sources into unified program views.

Impact
Unified program visibility
Reduced reporting lag
Better resource allocation decisions

Financial forecasting

Complex policy variables and historical spending patterns make manual forecasting unreliable.

Produce forecasts that withstand audit and leadership review.

Impact
Improved forecast accuracy
Faster budget cycle
Reduced variance

Logistics & supply chain optimization

Inconsistent vendor records and procurement data create supply chain disruptions.

Automate vendor management, data validation, and schedule optimization at the source.

Impact
Dynamic scheduling models
Fewer procurement delays
Stronger operational continuity

Our approach

We embed with your team, observe how work flows, and build systems that align with what’s already in motion.

Trusted by

Invisible helped Nasdaq streamline a data integration process, reducing customer onboarding time and saving 10,000 developer hours.

Invisible improved Cohere’s data quality and scalability, enhancing multilingual, coding, and reasoning capabilities to strengthen its enterprise-ready AI performance.

Invisible automated processes like invoice reconciliation, W9 processing, claim approval letters, and compliance support, resulting in significant cost and time savings.

Invisible's team worked within the client's platform to review model conversations from the research team and assess the level of accuracy of the model responses.

Invisible's team stepped in to review partially completed conversations between different models. We analyzed the search results, reference material, and model responses.

Let's build it.

We'll show you exactly where AI fits — and where it doesn't. No pressure. No jargon.
Book a demo