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Accelerating Federal Impact with
AI and Automation

In our ongoing series on federal digital transformation, we explore what it means to go beyond isolated solutions and build scalable, repeatable frameworks that drive measurable, mission-aligned outcomes.
This article highlights a practical implementation scenario at a major federal immigration agency, where Anika Systems partnered to integrate automation, AI frameworks, and no-code analytics tools into enterprise operations.

For today's mission owners, transformation is more than just automation—it's about building systems that accelerate decision-making, promote trust, and ensure long-term adaptability. This USCIS initiative demonstrates how thoughtful architecture, human-centric design, and reusable assets can deliver enduring impact.

The ANIKA Factor

Achieving Noteworthy Impact and Key Advancements

Operational Efficiency
Four RPA bots automated time-intensive validation processes, reducing annual processing time
from 200 hours to 10 hours, achieving a 90% reduction in manual effort.

Scalable Analytics
Anika Systems deployed 31 enterprise dashboards supporting 18,000+ users monthly, with
more than 20,000 dashboard views, improving accessibility to critical insights.

Empowered Non-Technical Teams
No-code reporting capabilities enabled analysts and business teams to independently generate reports—reducing dependencies on IT and accelerating access to data.

Maturity Recognition
The agency's Business Intelligence program scored 4 out of 5 in Gartner's Federal Data and Analytics Maturity Benchmark, significantly outperforming the 2/5 peer average.

How Scalable Frameworks Drive Success at Federal Agencies

Most modernization efforts struggle because they are built in silos. At Anika Systems, we believe transformation should be modular, reusable, and measurable.

By designing and delivering frameworks instead of one-off scripts or disconnected tools, we guide federal agencies in creating blueprints for innovation—blueprints that can be reused, adapted, and scaled across divisions, programs, or even agencies. Connection and reuse drive efficiency and reduce waste.


Frameworks Deployed at USCIS

Intelligent Automation Bots

Anika Systems deployed four production-ready RPA bots using UiPath to automate validation of raw data across high-volume case management workflows. These bots:

  • Reduced data validation time by more than 90%
  • Eliminated repetitive manual processes and improved consistency
  • Strengthened compliance and data quality through automated validation

These automations now serve as templates for additional mission use cases, enabling expansion with minimal rework.

AI/ML Model Development Framework

To support enterprise AI adoption, Anika Systems built a Model Development Framework that:

  • Standardized AI/ML lifecycle activities
  • Integrated reusable pipeline components
  • Enabled faster onboarding for data science teams
  • Embedded governance principles to support responsible AI

This framework allows the agency to expand AI efforts with confidence, reducing risk and time-to-value.

Generative AI Lifecycle Framework

In anticipation of future needs, Anika Systems delivered an End-to-End Generative AI Framework that:

  • Maps activities from ideation to production
  • Defines deliverables at each phase
  • Aligns with federal policy standards, including EO 14179 and M-25-21
  • Supports repeatable, safe adoption of GenAI technologies

Democratizing Analytics: No-Code Reporting at Scale

To reduce bottlenecks and unlock insights faster, Anika Systems built a No-Code Report Generation Tool on Databricks. The tool:

  • Enables non-technical users to create reports independently
  • Exposes underlying SQL for those who want to extend logic
  • Accelerates time-to-insight without sacrificing accuracy or governance
  • Received strong praise from agency leadership for its usability and impact

The tool reflects a broader trend: shifting analytic power to the edge—to the program managers, analysts, and decision-makers who need it most.


Driving Decision Intelligence: Knowledge Management and Person-Centric Data

Centralized Methodology Library

Built using Collibra, the Methodology Library provides:

  • A centralized repository of business logic and SQL snippets
  • Consistency across reports, reducing duplication and error
  • Improved onboarding and continuity across teams

Person-Centric Data Models

Anika Systems supported the development of person-level data views by integrating case data, biometrics, and security checks into a unified model. This work:

  • Enables future use of AI for risk scoring and case complexity analysis
  • Aligns with human-centered design and transparency mandates
  • Prepares the agency for next-generation decision intelligence

Designing for Federal Mandates and Future Readiness

Anika Systems' solutions were built to align with key federal modernization directives, including:

  • OMB Memo M-25-21 for evidence-based policymaking
  • EO 14179 on accelerating responsible AI adoption
  • Department of Government Efficiency (DOGE) goals for streamlining operations

Grounded in governance, transparency, and scalability, our solutions deliver compliance, seamless transferability, and enduring value.


Key Takeaway: Building Foundations for Stronger Solutions

Our work with USCIS demonstrates what's possible when federal innovation focuses on reusability, empowerment, and mission alignment. These are more than one-off wins—they are assets built to scale.

With every dashboard, bot, and framework, Anika Systems delivers systems that endure—empowering agencies to do more, decide faster, and innovate responsibly.

Want to explore how reusable frameworks can accelerate your agency's mission? Let's connect: growth@anikasystems.com | www.anikasystems.com