AI Services in Cost Reduction

AI initiatives that reduce personnel and tooling costsFeaturing 7 AI services in total.

ヘルプフィール

Helpfeel

An AI knowledge search system from Helpfeel Inc., built around the patented “intent prediction search” technology. Its defining strength is landing users on the right FAQ article even from vague phrasing, spelling variants, or typos — the company reports a 98% search hit rate. Alongside search-type FAQ, it offers an AI agent that searches across internal PDFs and Word files to answer, an inquiry form that shows answers before submission, and analysis of accumulated inquiry data (VoC) with article improvement proposals, all on one platform. Deployed on 900+ sites as of January 2026, with a reported 70% reduction in inquiries and a 99% retention rate. Pricing is a package of an initial fee plus a monthly fee, quoted individually.

# AIチャットボット# 検索エンジン・RAG# AIエージェント# 業務効率化# コスト削減# 自動化・省力化# 日本語対応

フリー

freee

freee (freee accounting) is an integrated cloud accounting platform and the No.1 cloud accounting software by domestic market share in Japan (provided by freee K.K., listed on the Tokyo Stock Exchange Growth Market). Because it automatically imports transaction data from bank accounts and credit cards and AI infers the journal entries, even people without bookkeeping knowledge can handle everything from bookkeeping through tax filing, closing, and electronic filing in one seamless flow. Plans start from 980 yen per month for sole proprietors and from 5,480 yen for corporations (both with annual billing, excluding tax), with no initial fee and a free trial available. It can also be used as an integrated cloud ERP that links with HR and labor, invoicing, and more.

# 業務効率化# 自動化・省力化# コスト削減# 日本語対応

マネー フォワード クラウド

MoneyForwardクラウド

Money Forward Cloud is a unified back-office SaaS suite for companies and sole proprietors, provided by Money Forward, Inc., which is listed on the Tokyo Stock Exchange Prime Market. With cloud accounting at its core, it links invoicing, expenses, payroll, attendance, and HR/labor management under a single ID, and streamlines everything from bookkeeping to financial closing and tax filing through automatic transaction retrieval and automated journal entries. Corporate accounting starts at 2,480 yen per month and individual tax return plans start at 900 yen per month (both with annual billing, excluding tax), with no initial cost and a one-month free trial. It also has particular strength in integration with accounting firms.

# 業務効率化# 自動化・省力化# コスト削減# 生産性向上# 日本語対応

インフォマート

インフォマート

The "BtoB Platform" series from Infomart Corporation (TSE Prime) that digitizes business-to-business (BtoB) transactions. Invoices, ordering, contracts and quotations can all be completed on screen; the core Invoice product has 1.2M+ companies and the No.1 share in Japan. Trading partners join for free, and it supports the Invoice System and the Electronic Books Preservation Act. AI-OCR and similar features assist automation.

# 業務効率化# 自動化・省力化# コスト削減# データ連携（API連携）# AI-OCR（文字認識）# 日本語対応

ヤヨイ

弥生

Go-to cloud accounting software for Japanese SMBs and sole proprietors (Yayoi Co.), with AI that auto-categorizes bank statements and receipts ('Smart Transaction Import'). The flagship Yayoi Accounting Next adds AI transaction entry and cash-flow analysis (beta), with tax filing, invoice, and e-bookkeeping compliance. Free trial / first-year-free options.

# 業務効率化# 自動化・省力化# コスト削減# 日本語対応

インボックスウケトリセイキュウショ

invox 受取請求書

A cloud invoice-receiving service that converts invoices arriving in any format (mail, email, PDF, e-invoice) into accurate data via AI OCR plus operator verification, and automates everything from data entry to payment (bank-transfer data) and journal entries. Compliant with Japan's e-book-storage law and invoice system. By invox Inc. (formerly Deepwork).

# AI-OCR（文字認識）# 業務効率化# コスト削減# 日本語対応

ジェヴ

Jev

Jev is the first System One model from TypeSafe AI, released on 15 September 2026. Unlike an LLM it generates no text: give it a state (text or JSON) and it returns typed values — Choice (classification), Score (rating) and Noul (a 0–1 truth value) — each with probabilities and a calibrated confidence. Because no string comes back, there is nothing to parse and nothing to validate. Vendor-published figures are 70–500 ms end to end and $0.042 per million input tokens, with output tokens free. Questions in one request are evaluated in parallel, so stacking them barely changes latency — which suits support triage, LLM guardrails and RAG re-ranking, where the same judgement repeats at volume. In early access behind a waitlist as of September 2026; the docs state that CJK scripts are accepted with lower accuracy than English.

# API・SDK# AIエージェント# 検索エンジン・RAG# 自動化・省力化# コスト削減

Recommended Articles on Cost Reduction

[2026 Edition] Boosting Accounting Efficiency with AI | A Complete Guide to Automating Bookkeeping, Document Processing, and Budget Reports

An introduction to AI tools that transform accounting workflows — from automating journal entries and AI-OCR document processing to auto-generating budget-vs-actual reports. Covers the latest solutions available today.

What Jev Is [September 2026]: The AI That Generates No Text — How System One Models Work, Pricing and Use Cases

On 15 September 2026, TypeSafe AI came out of two years of stealth with $40M in funding and shipped Jev — and it spread past social media into developer communities, with Qiita running an official campaign from 16 September to 2 October. What caught on was not the benchmarks but the positioning: an AI that does not generate text. Jev does not chat; it picks from options you defined and returns the answer with a probability attached. This article covers what the three question types (Choice, Score, Noul) actually return, the speculative fan-out that makes stacking questions free in latency, the pricing model of $0.042 per million input tokens with output free, the path from waitlist to Python SDK, HTTP API and the Claude Code skill, how to gate on confidence and route the uncertain cases to a person, and where it pays off — support triage, LLM guardrails, RAG re-ranking. It also covers what TypeSafe publishes about its own weak spots: lower accuracy on CJK scripts, unreliable counting, and weak date comparison.