Government & Public

The problem

• Weeks-long service processing
• High multilingual query volume
• Fraud in benefits & procurement

What AI actually does about it

• Multilingual citizen chatbots
• Automated application triage
• Predictive demand & fraud detection

Outcome

78% of US public-sector orgs use AI; 90% plan agentic AI (2025).

Constraints that apply

US: FedRAMP + records rules. UK: GDS transparency standard. UAE: AI Charter + PDPL. Saudi: SDAIA + Arabic-first.

About the figures on this page

These are indicative industry figures, not BvLogic measurements, and we have not verified them. They came from vendor and industry coverage when this page was written. We have not re-sourced them, we do not know the sample they came from, and we would not put them in front of you as evidence.

We are saying so because elsewhere on this site we refuse to print a peer median on the grounds that a number from no respondents is a fabricated number in the position of maximum influence. That standard has to apply here too, or it is not a standard. Use these to frame a question, not to support a business case — and if you need a figure you can defend, the Enterprise Outcome Record sets out what it takes to produce one.

Backlog clearance

How fast AI clears the queue.

Runs in your browser. Estimates only, not professional advice.

Work with us

If you want this implemented rather than explained, see Enterprise Services or tell us what you need.