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Public sector on AWS

Voice and language before form fields. Civic platforms reach the people they were built for when registration is conversational, not a 40-field form.

Government and social-impact platforms get built for the procurement officer, not the citizen. The result is a form-heavy interface that excludes the people most likely to need the service. We build voice-first AI on Amazon Transcribe and Nova Sonic, run AWS-native onboarding pipelines that compress six-month implementations to weeks, and ship under non-negotiable launch dates. Crown Commercial Service approved on G-Cloud. AWS Premier Partner.

What Public Sector actually moves on.

Real engagements, real numbers. Where Armakuni has already shipped in this vertical.

143,000+
Active users on a voice-first social platform
6 months
Onboarding compressed to weeks via GenAI
£100M
Live-TV donation events processed on AWS

The four problems every civic platform runs into before launch.

Form-heavy exclusion, six-month onboarding, fraud you cannot see, and a launch date nobody can move. We have shipped through all four.

Form-based interfaces excluding the people who need the service.

A significant share of target users have limited experience with text-heavy digital interfaces. Form-based registration becomes a barrier at the point of entry.

Six to seven months of manual onboarding per agency.

Hand-configuration of hundreds of PDF forms, checklists, and schemas before a platform is usable. Implementation cost compresses margin on every signed contract.

Compliance and fraud invisible until a payer audit.

Overlapping visits, unrealistic travel times, duplicate CPT claims. The platform holds the data. The people who need it cannot reach it without a SQL ticket.

Live-event scale on a launch date nobody can move.

Donation telethons, election platforms, benefit launches. 500 transactions per second with no rehearsal slot. Engineering discipline is the only thing standing between the press release and the incident.

How Armakuni shows up in Public Sector.

Not every offering applies in this vertical. Here are the ones that fit, and the angle we take with each.

AI Transformation
See offering →

Voice-first AI on Amazon Transcribe and Nova Sonic, optimized for the dialects your users actually speak. Conversational onboarding that replaces forms. Sentiment analysis on every post. Production GenAI inside Bedrock, in your AWS account, with audit trails the public-sector procurement team can review.

  • Voice-first onboarding for low-literacy populations
  • GenAI form-and-checklist ingestion replacing manual config
  • Natural language analytics for compliance and fraud detection
Modernization with AI
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Public-sector platforms accumulate decades of decisions. Drupal, PHP, .NET, and bespoke stacks built around procurement cycles, not engineering practice. We modernize on AWS with the AK Way: test coverage first, clean architecture second, AI tooling third. So the speed actually compounds.

  • OpenAI to AWS Bedrock migration for AWS-native economics
  • Drupal and PHP modernization to ECS and Aurora
  • Accessibility (WCAG 2.1) remediation on regulated platforms
Amazon Connect
See offering →

Citizen-facing contact lines need self-service that actually resolves and escalations that arrive with full context. AI-augmented agent assist, multilingual voice, and automated compliance disclaimers. Built on Amazon Connect under your IAM.

  • Multilingual voice agents on Amazon Connect
  • Self-service eligibility checks with human escalation
  • Real-time supervisor dashboards for citizen-facing queues
Data Engineering
See offering →

Cross-agency data sharing without raw exposure. AWS Clean Rooms and Glue pipelines that satisfy data-protection law while enabling actual analysis. Natural language interfaces on top so policy teams can ask questions without filing engineering tickets.

  • AWS Clean Rooms for cross-agency partner collaboration
  • Natural language analytics for fraud and compliance teams
  • Governed data lakes on AWS Landing Zone with Control Tower

Concrete use cases.

Six engagements: shipped, in flight, or scopable inside an AWS-funded discovery.

Use case 01

Voice-first registration for low-literacy users.

Amazon Transcribe with Latin American Spanish dialect optimization plus Amazon Nova Sonic for natural voice output. Validated with the actual demographic.

Use case 02

GenAI form ingestion replacing six-month onboarding.

PDF forms parsed by Bedrock and Textract into production-ready JSON schemas in a single automated pass.

Use case 03

Sentiment moderation at community scale.

Bedrock-powered moderation that generates constructive alternative phrasings rather than blocking. Feedback loops improve accuracy without human review at scale.

Use case 04

OpenAI to Bedrock for AWS-native economics.

Migration of conversational, voice, and content-moderation workloads to Bedrock with prompt-tuned model selection per task.

Use case 05

Natural language compliance analytics.

Fraud and compliance signals (overlapping visits, duplicate claims) surfaced in plain English to the supervisors who need them, before payer audits force the issue.

Use case 06

Live-event scale on AWS.

Donation telethon and benefit-launch architecture with rehearsed cutover and failback. 500 TPS without a missed transaction.

Customers we have shipped for.

Named, public references in this vertical. Open the case study for engagement scope, AWS funding, and outcome.

Run a workshop first.

Most engagements open with a fixed-fee, AWS-funded discovery. These three workshops are where it usually starts.

Compliance and audit.

Procurement-grade controls available on request. We run engagements under these regimes routinely.

G-Cloud (CCS) Cyber Essentials Plus WCAG 2.1 AA GDPR NHS DSPT

Civic platforms that reach the citizens they were built for.

Your first call is with a solution architect, not a sales exec. The first engagement is usually an AWS-funded assessment.