INDUSTRIES / PUBLIC SECTOR
Services citizens can trust
We help public bodies build accessible, auditable services their own teams can run.
Public services have to work for everyone, keep citizen data where policy says, and still be runnable by the department in five years. Residency, accessibility and audit trails are architectural decisions that are expensive to retrofit. We provide advisory and architecture support to the teams that own and run those services.
How we help
Our team has built national-scale e-government platforms for the Government of India.
Architecture reviews
An independent review of a planned or running platform against the residency, resilience and handover constraints it has to meet, with findings your team can act on.
- Residency and data-flow review of every data path
- Disaster recovery and failover design review
- Exit and handover readiness
Accessibility support
Support for delivery teams building citizen-facing services to WCAG 2.2 AA, with accessibility treated as an acceptance criterion and tested in the pipeline rather than audited at the end.
- WCAG 2.2 AA review of designs and running services
- Automated accessibility checks in the release pipeline
- Testing evidence in the form reviewers ask for
Security baselines
Baselines your team can adopt and evidence: least privilege, separation of duties, and logging designed so questions about who did what are answerable months later.
- Role and attribute-based access design
- Audit logging and retention baselines
- Control mapping for assessor review
Modernization roadmaps
A sequenced plan for moving legacy services and data forward, with retention, lineage and lawful-basis constraints carried through, in stages your team can fund and operate.
- Current-state assessment of systems and data
- Stage-by-stage modernization plan
- Skills and runbook plan for in-house operation
Standards your organization is held to
These are the frameworks public bodies answer to. We design controls against them and produce the evidence your assessors and auditors ask for. The obligations remain your organization's.
Accessibility standards
WCAG 2.2 Level AA is the international reference standard for citizen-facing services, alongside national guidance such as the UK Public Sector Bodies Accessibility Regulations, EN 301 549 in the EU, Section 508 in the US, and the Guidelines for Indian Government Websites. We treat conformance as a build-time acceptance criterion and produce the testing evidence reviewers ask for.
Security baselines and incident reporting
National cyber security regimes set expectations for logging, log retention and incident reporting timelines, for example NIS2 in the EU, NCSC guidance in the UK, the UAE Information Assurance Regulation and CERT-In directions in India. ISO/IEC 27001 is the common international reference for information security management. We design controls and logging so your organization can evidence them. YatiSphere is not itself a certification body or certificate holder.
Data residency and sovereignty
Data protection regimes, including the GDPR, India's DPDP Act 2023, the UAE and Saudi PDPLs and sector-specific directions, constrain where personal data may be stored and processed, and who may act as a processor. We design region selection, dependency choice and data flows on AWS, Microsoft Azure or Google Cloud against the constraints that apply to you, and document the result.
Auditability and open standards
Public programs are expected to show documented architecture, stated exit plans and a preference for open standards and portable data formats. We help your team keep that documentation alongside the system so the evidence reflects what actually runs.
Records retention and disposal
Public records obligations set how long records must be kept and when they must be disposed of. We encode retention windows, legal holds and disposal workflows in the platform rather than leaving them to operational discipline.
Responsible use of AI in public services
Where AI touches a citizen decision, explainability, human review and contestability are not optional. We scope AI narrowly, keep a human in the loop on consequential decisions, and document how outputs are produced and reviewed. We do not use client data to train or fine-tune models, unless a client asks us to in writing for their own dedicated model.
