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NX:IQ

Government & Public Sector

Applied AI for government and public sector organizations

Public organizations carry document-heavy processes, aging systems and a duty to explain every decision. NX:IQ automates the repetitive handling around casework and records while keeping outputs reviewable and auditable.

Operational problems

Where the work piles up.

High-volume intake

Applications, requests and correspondence arrive faster than staff can classify and route them.

Records handling

Retention, redaction and disclosure work is manual, slow and inconsistent across departments.

Legacy systems

Core platforms are old, customized and difficult to change, so workarounds live in spreadsheets.

Backlogs

Queues grow because every item requires the same manual review regardless of complexity.

Accountability requirements

Any automated step must be explainable, reviewable and defensible after the fact.

Procurement and capacity limits

Change has to fit fixed budgets, procurement cycles and existing staffing.

How it fits

We connect to the systems you already run.

Nothing here requires replacing your platform. NX:IQ reads the work coming in, applies your rules and writes results back to your systems of record.

  • Applications
  • Public correspondence
  • Forms & attachments
  • Web intake
NX:IQUnderstand · Validate · Act
  • Case management
  • Records system
  • ERP / Finance
  • Public reporting
Case and permitting systemsERP and finance platformsRecords and content managementGIS and asset systemsIdentity and SSOEmail and web intake forms

Integration approach depends on the interfaces your environment exposes. We confirm feasibility during discovery rather than claiming certified partnerships.

Example use cases

Work we would take on.

  • Classifying and routing inbound applications with confidence thresholds and human review
  • Extracting structured data from forms so staff verify rather than transcribe
  • Preparing records requests with candidate redactions for reviewer approval
  • Automating status updates so constituents stop calling to ask
  • Phased modernization of a legacy platform with integration-first sequencing
  • Reporting on backlog, aging and turnaround by program

Expected outcomes

  • Shorter queues and faster turnaround for constituents
  • Consistent handling with a documented decision trail
  • Staff time redirected from transcription to case judgment
  • A modernization path that fits budget and procurement reality
  • Clear boundaries on where AI assists and where people decide

Outcomes describe the intent of each engagement. We define the measurement with you before build and report against it after launch.

What process should your team never have to do manually again?

Show us the workflow. We'll help determine whether AI and automation can improve it.