Government & Public Sector

Deploy AI Agents Across Back Office Operations

Trusted by industry leaders to scale operations without increasing manual overhead

79%

Average reduction in manual overhead

1M+

Fortune 500 Agentic jobs processed

Industry Applications

AI agents for casework and public services

Application
Government building exterior

Case intake triage

[01]

Scroll to explore this application

ROI[1.1]

71%
Intake cycle time reduced

Summary[1.2]

Automate intake for applications, requests, and permits with routing to the right queue.

Inputs[1.3]

Applications and request forms
Email submissions and attachments
Program eligibility rules
Jurisdiction and routing rules
Case SLA targets

Actions[1.4]

  1. 01
    Classify case types and priorities.
  2. 02
    Extract applicant and request details.
  3. 03
    Validate required fields and completeness.
  4. 04
    Route cases to the correct queue.

Outcomes[1.5]

Faster intake turnaround times
Reduced manual triage workload
Higher SLA compliance
Cleaner case data from day one
Application
Government building with columns

Document classification

[02]

Scroll to explore this application

ROI[2.1]

83%
Documents auto-classified

Summary[2.2]

Classify large forms and supporting documents and extract fields into case systems.

Inputs[2.3]

Multi-page forms
Supporting documentation
ID and proof documents
Case system schemas
Compliance requirements

Actions[2.4]

  1. 01
    Classify documents by type and intent.
  2. 02
    Extract structured fields and metadata.
  3. 03
    Validate fields against program rules.
  4. 04
    Attach documents to case records.

Outcomes[2.5]

Shorter document processing cycles
Improved data accuracy
Audit-ready document trails
Reduced downstream rework
Application
Close-up of a government building facade

Policy & knowledge agents

[03]

Scroll to explore this application

ROI[3.1]

58%
Policy queries automated

Summary[3.2]

Answer staff questions with agents connected to policies, SOPs, and precedent cases.

Inputs[3.3]

Policies and SOPs
Regulatory guidance
Precedent case notes
Program FAQs

Actions[3.4]

  1. 01
    Answer questions with cited sources.
  2. 02
    Surface relevant policies and clauses.
  3. 03
    Suggest next steps and checklists.
  4. 04
    Escalate edge cases to supervisors.

Outcomes[3.5]

Faster staff response times
Consistent guidance across teams
Reduced training ramp time
Improved compliance adherence
Application
Airplane approaching a government district

Shared inbox automation

[04]

Scroll to explore this application

ROI[4.1]

66%
Inbox volume auto-triaged

Summary[4.2]

Monitor constituent inboxes, categorize messages, and trigger responses or workflows.

Inputs[4.3]

Constituent emails
Service requests
Attachments and forms
Priority and routing rules

Actions[4.4]

  1. 01
    Classify inbound messages by intent.
  2. 02
    Extract case IDs and key details.
  3. 03
    Route to the correct team or program.
  4. 04
    Draft acknowledgements and updates.

Outcomes[4.5]

Reduced backlog in shared inboxes
Faster response times
Improved visibility into request volume
Clear audit trails for communications
Agentic models supported
OpenAI
Anthropic
Gemini
Llama
xAI
Governed Integrations

AI agents connected directly to your enterprise systems

[01]

Enterprise systems

ERP
TMS
CRM
Accounting
WMS
OMS
[02]

Communication

Outlook
Gmail
Teams
Slack
[03]

Data & Storage

SQL Databases
SharePoint
Data Warehouses
Google Drive
[Scoped permissions][Agent audit trails][Human in the loop][Workflows run safely at scale]
Indicators of High ROI Workflows

How to spot AI agent opportunities

Manual data entry[01]

Which processes still require significant manual data entry or re-keying between systems (ERP, TMS, WMS, CRM, spreadsheets)?

Heavy document processing[02]

Which workflows rely on large volumes of semi-structured documents (invoices, contracts, BOLs, manifests, forms)?

Varying input structure[03]

Which processes rely on inputs with high variance (PDF formats, free-form text, email attachments)?

Email inbox monitoring[04]

Which shared inboxes require constant manual monitoring, triage, and follow-up to keep up with customers, suppliers, or partners?

Repetitive manual tasks[05]

Which rule-based, repetitive tasks drive the most overtime, headcount, or SLA risk?

Highest value targets[06]

Which of these repetitive workflows would drive the most value if an AI agent could run them end-to-end?

Use these indicators to uncover workflows where AI agents can drive down manual overhead.

Become the Industry Standard.