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Enterprise AI

AI that runs inside the organization

Talk to us about Larion

Larion.AI was publicly introduced as a sovereign enterprise AI platform designed to run inside the client environment, with data, workflows and decisions kept under organizational control.

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Larion Core

Answers from the documents the organization already has

Introduced as a workspace over internal documents, databases and ERP records, answering in plain language and citing the source of each answer.

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Larion Finance

Payables from inbox to the ledger

Introduced for accounts payable: extraction, matching against the order and the receipt, approval routing and synchronisation with the finance system.

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Larion CX

Every message drafted against real order data

Introduced as one inbox across email, chat and social, drafting replies from live order records for a person to review before sending.

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Positioning at launch

How it was positioned when introduced

These are the positioning statements made at launch. They are not verified test results, benchmarks or certifications.

On-premise

Runs inside controlled infrastructure.

No external APIs

Designed to limit reliance on external AI services.

Data control

Sensitive information remains under client governance.

Powered by Rkieh Productions

Built within the wider Rkieh Productions product ecosystem.

How it was described

Four steps, from connection to trust

Applications

Connect the systems that hold the records. Ask in plain language. Automate the steps that repeat. Trust it, because every action is logged with its time, its user and its source, and the whole of it runs on the organization's own servers.

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Published comparison

What the material says changes

Larion.AI publishes these three comparisons on larion.ai. They are that product's own before-and-after figures, reproduced here as published and not as results measured by Rkieh Productions.

Invoice processing

Published as 45 minutes of manual entry, missed orders and delayed approvals, against under two minutes with extraction, matching and routing, and exceptions only.

Internal research

Published as three to four hours across scattered documents, against under sixty seconds with answers cited from contracts, policies and the finance system.

Customer replies

Published as eight minutes on average with templates and tab-switching, against under thirty seconds drafted from live order data.

Sectors named in the material

Where larion.ai says it is aimed

Five sectors named on larion.ai, with the figure published against each. Published by Larion.AI, not measured here.

Healthcare

40% less admin time — clinical teams answering from patient records.

Financial services

Three days faster close, with automated invoice processing.

NGOs and field operations

100% on-premise — field teams working offline, beneficiary data staying put.

Legal

10x faster review, with every clause cited.

Enterprise

82% published against enterprise deployment.

As described for enterprise

Built to pass a security review, not to route around one

Larion Core

larion.ai describes an architecture where the deployment sits inside the organization's own data centre or private cloud, with no external AI provider in the path — and a fully disconnected variant for environments that allow no internet access at all.

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Enterprise description

Six things the enterprise material describes

Taken from the enterprise page on larion.ai, stated as description rather than as availability.

On-premise deployment

Described as running inside the organization's own data centre or private cloud, with no SaaS dependency and no external AI provider.

Air-gap compatible

Described as a fully disconnected deployment for the most sensitive environments, with a manual update cycle.

Full audit logging

Every query, action and output logged with its time, its user, its data sources and a confidence score.

Role-based access

Described as departments kept separate at the infrastructure level — finance data to finance, legal documents to legal.

Compliance-ready

Described as built for SOC 2 Type II, ISO 27001, GDPR and HIPAA-adjacent environments. A description of design intent, not a certification held.

Explainable answers

Every answer citing its sources and every automated action showing its reasoning, so a compliance team can audit a decision the way it audits a person's.

Figures published by Larion.AI

What the product material states

These figures are published by Larion.AI on larion.ai. They are reproduced here as that product's own public claims, not as results measured by Rkieh Productions, and not as an expectation set for any deployment.

80% less manual data entry

As published on larion.ai for the platform overall.

Three days faster month-end close

As published on larion.ai for the finance product.

99.2% extraction accuracy

As published on larion.ai for invoice extraction.

100% on-premise

As published on larion.ai: data stays on the organization's own infrastructure.