Government & Public Sector

RPA & Screen Automation for Government & Public Sector

RPA & Screen Automation for government & public sector, built around the constraint that defines the sector: procurement, data sovereignty and accessibility obligations shape the architecture before anything else.

Regulations in scope
5
Systems we integrate
4
Typical first release
6 weeks

What changes when it is government & public sector

Orqent Labs builds RPA for the systems that will never get an API, and recommends against it everywhere else.

In government & public sector, procurement, data sovereignty and accessibility obligations shape the architecture before anything else. That single fact reshapes how rpa & screen automation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is citizen grievance triage, usually integrated against DigiLocker and Aadhaar-linked services. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.

The sector constraints we design around

Defining constraint
procurement, data sovereignty and accessibility obligations shape the architecture before anything else
Regulations in scope
DPDP Act 2023 · RTI obligations · GIGW accessibility guidelines · government cloud empanelment · e-governance standards
Systems of record
departmental portals · DigiLocker and Aadhaar-linked services · legacy record systems · grievance platforms
Where we usually start
citizen grievance triage

RPA & Screen Automation workloads in government & public sector

  • citizen grievance triage
  • scheme eligibility checking
  • records digitisation
  • multilingual service delivery
  • case file processing

What is included

  • Process selection scored on stability and volume
  • Bots with AI-assisted element detection for resilience
  • Exception handling and human escalation
  • Orchestration, scheduling and queue management
  • Monitoring with alerts on failure
  • Maintenance plan for when applications change

Questions from this sector

Can AI systems be procured under GeM?

Yes, and we structure deliverables to fit standard procurement categories and evaluation criteria.

Does it work in regional languages?

It has to. Public services in India are multilingual by obligation, and we build for that rather than adding translation later.

Is RPA obsolete now that we have AI agents?

No, but its scope has narrowed. RPA is right where there is no API and the interface is stable. Everywhere else, integration or agentic automation is more durable.

Why did our last RPA project fail?

Usually one of two reasons, the process changed faster than the bot could be maintained, or a process was automated that should have been fixed first.

Which platform do you use?

UiPath, Automation Anywhere or Power Automate, and sometimes a lighter custom approach when licence cost outweighs the benefit.

RPA & Screen Automation for government & public sector, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878