Ariviti helps healthcare organisations automate document-heavy workflows, improve review throughput and modernise the systems behind clinical and administrative operations. Our work spans AI-assisted chart review, clinical document processing, workflow engineering, healthcare applications, quality assurance and platform operations.
High-volume automation across chart-review workflows.
Structured information from complex healthcare records.
Automation built around real operating processes.
Platforms, APIs and integrations supporting healthcare operations.
Validation across software, business logic and AI behaviour.
The technology foundation required to run these systems reliably.
There is a clean line in healthcare automation between the back office — claims, prior authorisation, scheduling, coding, supplier paperwork — and anything that touches clinical judgement. The first is high-volume, rule-bound and safe to automate. The second is not, and should not be attempted as though it were.
What makes it hard is that both run on the same estate, against the same patient records, under the same regulatory obligations. So an automation programme that is clinically trivial still carries the full weight of data protection, access control, audit and breach exposure.
That is the shape of problem we have spent twenty years on in payments: a low-risk process running over high-consequence data, where the compliance work costs more than the feature.
By increasing throughput and reducing processing delays, the workflow improved downstream billing performance.
Chart audit and approval, in production, for a US community health and home-care provider. This is back-office work by the definition above — documentation review that determines compliance, operational efficiency and whether the organisation gets paid on time. It is high volume, rule-bound, and it was eating clinical time.
Two decades of building and certifying systems over regulated, high-consequence data — PCI‑DSS readiness, adversarial security testing, audit trails with timestamp integrity, RBAC validated by attack rather than by review — and robotic process automation delivered for Indian state and municipal government during COVID.
Ariviti has engineered an AI-assisted chart-review solution for high-volume healthcare operations.
The system processes clinical records, applies chart-specific review logic and automates the majority of the review workflow while routing exceptions for human validation.
The solution increased throughput 11× without adding headcount, while delivering 99.4% chart-review accuracy.
The system reached production in under six months and ran Bring-Your-Own-Cloud — patient data stayed inside the provider’s own cloud environment throughout, with a full audit trail on every decision.
Its most useful design choice was the least glamorous one. Instead of a bare “rejected”, the system generates specific rejection reasons and targeted correction suggestions, which turns rework from guesswork into a guided fix. Vague feedback was the thing creating the rework cycles that delayed billing in the first place.
A clinician validates or overrides the recommendation before it is final; charts clearing a configured confidence threshold move automatically.
Healthcare review processes are not uniform. Different chart types can require different rules, validation logic and review criteria.
The solution was designed to support new chart types quickly, with an onboarding cycle of approximately one week — so operations teams can expand automation without lengthy redevelopment for every new workflow.
Healthcare operations depend on large volumes of unstructured and semi-structured information.
Ariviti applies document intelligence to extract, classify and structure information from clinical and administrative records so downstream workflows can process them consistently.
This reduces manual reading and data entry while giving operational systems structured information to work with.
The value of AI comes from how effectively it fits into the operating workflow. Ariviti engineers end-to-end processes that combine automation, business rules and human review.
The objective is to improve speed and consistency while preserving clear control points.
Ariviti supports healthcare organisations with application engineering across workflow platforms, web applications and enterprise integrations.
This creates a stronger software foundation around healthcare operations.
AI-enabled healthcare workflows require quality engineering across more than traditional software functionality. Ariviti validates the complete operating flow.
This helps ensure that the system behaves reliably across different chart types and operational scenarios.
Ariviti brings platform engineering and operations across:
This supports the reliable deployment and operation of healthcare applications and AI-enabled workflows.
Whether you are scaling chart review, automating clinical documents, modernising healthcare applications or introducing AI into operational workflows, Ariviti brings the engineering capability to take it forward.
