A government and non-profit case management software platform came to Armakuni for generative AI to collapse 6-month manual client onboarding to weeks, and natural language analytics to surface compliance and fraud exposure before payer audits.
The challenge
iCentral came to Armakuni with two structural barriers to growth: a client onboarding process taking 6-7 months and a data layer its own staff could not query without an engineering ticket. Armakuni delivered a two-phase engagement funded largely by AWS, each phase validating a distinct AI capability positioned for full production.
Scale: Serves government agencies and non-profit organizations across counties and states managing case records, therapy visits, billing, and regulatory compliance.
What we built
Armakuni delivered generative AI to collapse 6-month manual client onboarding to weeks, and natural language analytics to surface compliance and fraud exposure before payer audits. The engagement ran as two parallel fixed-scope SOWs: Form and Checklist Onboarding Automation (Phase 1) and AI Report Insighter and Auditor (Phase 2). AWS funded the work at $11,550.
The outcomes
6 measurable outcomes shipped across the engagement. The ones that moved the business the most:
80-90% of form onboarding effort automated meaning an implementation that previously required months of hand-configuration can now be completed with a pipeline run and a human review, not a multi-month project. The remaining 10-20% is the edit and approval step Armakuni built specifically to keep a human in the loop on…
Professional services cost targeted at a reduction of 70% or more, moving implementation from a margin-compressing engagement to a near-automated. deployment and making every new county or state iCentral signs substantially more profitable than the last.
Go-to-market timeline compressed from approximately 6 months to weeks, turning the implementation cycle from a competitive liability into a differentiator.. A vendor that can onboard a new government client in weeks instead of half a year does not lose deals on timeline.
Staff can now ask plain-English compliance questions and see answers in seconds, replacing a workflow that required SQL expertise, ticket filing, and days or weeks of wait time.. Every supervisor, billing manager, and compliance officer can query the data they are responsible for without involving engineering.
Fraud and compliance exposure now detectable before payer audits, with ten pre-built monitors covering the highest-risk billing scenarios in health and human services.. iCentral can identify overlapping visits, unrealistic travel distances, and duplicate claims as they occur rather than discovering them when a payer flags them in arrears.
Analytics now a monetizable capability, not just an internal compliance tool.. The conversational query layer can be surfaced to iCentral's own clients as a product feature, creating a revenue pathway from the same infrastructure built for internal use.
Built on AWS
The production environment runs on 18 first-party AWS services. Delivered under our AWS Generative AI Services, Data Analytics competencies.
What's next
Full production implementation of both phases. Potential integration of the analytics layer into iCentral's client-facing product as a monetizable feature.