customer_support · public · workflow

Secure AI in Government: Use Cases for Citizen Services, National Security, and Policymaking

Government agencies must process vast amounts of information about millions of citizens with limited budgets while citizens endure long service wait times — callers to the UK tax authority waited over 10 minutes 60% of the time, and US Social Security callers averaged 16-minute waits in 2020, up from 3 minutes in 2011.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Citizen identity verification
After securely verifying a user's identity, an AI assistant is engaged to handle the citizen's query.
Tools used
AI-powered agentsCohere
Outcome

McKinsey estimates GenAI can have a $480 billion productivity impact on the public sector; BCG projects gains rising to $1.75 trillion annually by 2033, with the government GenAI market projected to grow 50% per year.

Results
Time saved60%
Volume50%
Cost replaced$480 billion
Source

https://cohere.com/blog/secure-ai-in-government-use-cases

How we source this →

Grounding & classification
Source type: generic use case
29 fields verified against source quotes, 2 dropped as unverifiable.
agentic workflowconversational airagsummarizationsupport agentknowledge basepolicy documentfailure mode describedmetric backedsource backedworkflow describedgovernmentpublic safety defenseemployee productivitytime savedgeneric use caseback office opscustomer supportagentic task executionextract classify routerag answering