QueryPie AI

Partner Release Dashboard

Release schedules, included improvements, and planned roadmaps for Regular Release, Apps, and more.

📘 Official Manual

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Regular Release(Sprint 17)

AIP features and improvements released regularly by Sprint.

※ Feature scope may change depending on development status until QA begins. Please keep this in mind.

QA
September 8 (Tue)
Release and manual publication
September 15 (Tue)

New Features

  • Workflow menu added

    Users can review requests, approvals, and history from the Workflow menu.

  • Azure Files MCP features added

    Users can use the replace_file and rename_item tools in Azure Files MCP.

  • Credit increase request and approval support

    Users can request a credit increase when limits are exceeded, and admins can approve or reject it.

  • Web Builder now supports dynamic external data integration

    External data sources can be dynamically connected in Web Builder.

  • Internal calls can use Japan-region LLMs

    Internal calls can use Japan-region LLMs.

  • Attachment image analysis

    Users can review and analyze images, charts, and diagrams inside attachments.

  • Filesystem MCP binary file support

    Filesystem MCP can read and pass through binary files.

  • SharePoint MCP read-only OAuth and tool control

    SharePoint MCP supports read-only OAuth mode and tool visibility control.

Credit Management Improvements

  • Credit History app filtering

    Users can apply app-based filters in Credit History to focus on the records they need.

  • Improved Credit History usage display

    Credit History detail tables now show usage more accurately based on app type.

Agent and Model Improvements

  • Chat model change display

    You can review model change history when the model changes within the same chat.

  • Model option separation

    Wide Context and reasoning level can be checked and configured outside the model selection area.

Knowledge Improvements

  • SharePoint-linked knowledge filename synchronization

    SharePoint-linked knowledge file names stay more consistent with upstream file changes.

Partner Center Improvements

  • Credit expiry date setting
  • Organization-specific custom menu URLs
  • Target organization selection for notice banners

AIP CLI Release

We released AIP CLI so you can manage AIP work faster from the terminal.

A command-line tool for managing AIP organizations, Skills, Agents, Integrations, Automations, My Drive, and MCP locally.

Use it as follows.
# init / login
npm i -g aipctl@latest
aipctl config set --app-url <app_url>
aipctl auth login

# help
aipctl --help

# admin skill import with overwrite
aipctl admin skill github import --overwrite https%3A%2F%2Fgithub.com%2F<owner>/<repo>/tree/<branch>

Long-Term Roadmap

Product direction for partner sharing.

CorpNavi (AIP App)

CorpNavi MCP
In September
CorpNavi App
Under confirmation
Now introduced as CorpNaviThe service previously introduced as YuhoNavi is now provided under the CorpNavi name.

A Sandbox server is available for CorpNavi testing.https://yuhonavi.sandbox.querypie.io/

What is CorpNavi?

CorpNavi is a financial data platform that structures disclosure information, financial statements, stock price data, and IR materials from Japanese listed companies so AI can use them immediately. Based on official data from Japan's Financial Services Agency (EDINET) and the Tokyo Stock Exchange (TDnet), it holds approximately 10 years of Japanese listed-company data from 2016 to the present, significantly shortening the data collection and analysis process required for company analysis and market research.

Previously, teams had to manually review numerous disclosures and financial materials for competitor analysis or investment review. CorpNavi lets AI automatically collect and analyze the data so practitioners can gain insights faster and focus on strategic decision-making.

Key use cases

Competitor analysis and market research

When a competitor announces earnings, AI automatically analyzes related disclosures, financial statements, IR materials, and stock price reactions, then summarizes the key points. Work that previously took days or weeks can be completed in tens of minutes, making it useful for consulting firms, corporate strategy teams, and investment organizations.

Early detection of financial risk

CorpNavi analyzes not only profit on the income statement but also cash flow, borrowings, inventory, accounts receivable, and other financial indicators to identify potential risk signals early. This helps detect companies that may appear healthy on earnings but are actually experiencing deteriorating cash liquidity.

IR and shareholder meeting response

AI comprehensively analyzes recent earnings changes, stock price movement, performance against competitors, and business risks to predict questions shareholders may ask. It can also draft responses to expected questions, helping executives and IR teams respond more effectively.

Investment and company valuation support

CorpNavi can quickly generate investment review materials or valuation materials by analyzing a company's financial soundness, growth, profitability, and cash flow. AI can also automate comparative analysis across multiple companies.

Expected impact

Reduce time spent on competitor analysis Automate company research and market research Detect financial risks earlier Improve IR and shareholder meeting response quality Accelerate investment review and decision-making Automate disclosure monitoring work