Zaimo.ai FP&A, an AI-Native Budget and Management Platform, Launched — Supporting Multi-Dimensional Budget vs. Actual Management by Department, Project, and More
Zaimo Inc. has released the beta version of 'Zaimo.ai FP&A,' an AI-native management platform for medium to large enterprises. It aims to connect executives, departments, and the front line seamlessly with AI agents supporting detailed KPI tree creation and multi-dimensional budget management.
📋 Article Processing Timeline
- 📰 Published: April 15, 2026 at 20:30
- 🔍 Collected: April 15, 2026 at 12:01
- 🤖 AI Analyzed: April 16, 2026 at 03:27 (15h 25m after Collected)
With the mission of "Empowering everyone with the power of management," Zaimo Inc. (Representative: Takumi Kojo, Location: Shibuya-ku, Tokyo), aiming to realize an AI-native, next-generation management (FP&A/xP&A*) platform, has released the beta version of its management AI agent "Zaimo.ai FP&A" for medium to large enterprises. It is a next-generation management platform that seamlessly connects management, business divisions, and the front line with "the same numbers," and where AI agents support the creation of detailed KPI trees for business divisions.
*FP&A (Financial Planning & Analysis): A management function that supports strategic decision-making through budgeting, budget vs. actual analysis, and management analysis.
*xP&A (Extended Planning and Analysis): A management method that supports strategic decision-making for the entire company by integrating planning and analysis across all departments, including HR, sales, and supply chain, in addition to finance.
■ What is "Zaimo.ai FP&A"?
An FP&A/xP&A foundation that makes "management by all" easy to start.
Zaimo.ai FP&A is a platform that allows for immediate setup of departmental and project-based management accounting simply by importing general ledgers and actual performance files in CSV format. The imported data is reflected instantly, enabling management planning to visualize company-wide movements in real-time across multiple axes.
Furthermore, the creation of detailed business plans and KPI trees for each business division can be intuitively operated using an Excel-like UI familiar to on-site staff, with the AI agent "Zaimon" (click here for details on AI financial modeling) providing support. Even without financial knowledge, on-site staff can create plans from scratch. The created plans are automatically linked to the company-wide plan on the management planning side within the system, eliminating any need for importing or transcribing. The plans from the field, which tended to be fragmented across Excel and individual files, and the figures from management are now connected in real-time.
Since plans and actuals are available on the same platform, monthly budget vs. actual variance analysis and performance comparisons by business or project can be done with a single action on the screen. This allows for real-time identification of the causes of budget discrepancies and consideration of next steps.
In this way, a management system that enables "management by all"—where management, business divisions, and the front line can operate by sharing the same data at the same time—can be built in a short period without relying on special skills or dedicated personnel.
■ Do you have any of these management or budget vs. actual management challenges?
* Performance cannot be visualized from the desired perspectives (department, project, area, etc.), slowing down management decision-making.
* Detailed departmental plans and company-wide plans are fragmented, and a lot of effort is lost just to gather the information necessary for management decisions.
* Manual aggregation and transcription work are prone to errors, and a lot of time is spent each month checking the consistency of figures.
* Management using Excel or Google Sheets has become person-dependent, making monthly budget updates and handovers due to personnel changes difficult.
* Even after introducing existing budget management SaaS, it cannot handle the detailed plans of the field, leading to continued reliance on Excel or Google Sheets.
■ "Zaimo.ai FP&A" solves these problems comprehensively.
✅ Multi-axis revenue management and analysis by department, project, etc.
Flexible axis settings, such as by store, business, project, or area, enable real-time cross-sectional analysis. This eliminates the stress of "not getting the data from the perspective you want" and accelerates management decision-making.
✅ Eliminate manual work and errors through automatic linking and centralized management.
Financial and non-financial data scattered across Excel and spreadsheets can be imported in bulk via CSV. Since departmental and company-wide plans are automatically linked within the system, discrepancies due to manual aggregation and transcription are eliminated, and the time previously spent on consistency checks becomes unnecessary.
✅ Seamless management from business planning to budget vs. actual management.
Company-wide plans and detailed departmental plans are automatically linked within the system. The figures from the field and management, which were previously fragmented, are unified, and everything from mid-to-long-term plan formulation to monthly budget vs. actuals is completed on the same screen. The information necessary for management decisions is always readily available.
✅ Usable by anyone, eliminating person-dependency.
On-site business managers can create KPI trees and detailed plans with a familiar Excel-like interface. Management, which tended to be person-dependent, becomes a common organizational task, significantly reducing handover efforts during personnel changes.
✅ AI agent supports operations.
The AI agent "Zaimon" navigates the creation of departmental plans (click here for details on AI financial modeling). Even without financial knowledge, on-site staff can create detailed business plans from scratch, overcoming the barrier of existing SaaS that are "introduced but not fully utilized." The AI agent function will be gradually expanded in the future to include automatic analysis results and insight provision, significantly reducing the workload of management planning that was previously manual.
■ Use Cases: How Zaimo.ai FP&A can be used.
Depending on the industry and organizational structure, various management axes such as department, project, and area, as well as company-wide management or management by specific departments or subsidiaries, can be flexibly configured according to the organization's situation.
Case 1: Utilization in company-wide FP&A (Example)
~ From field plans directly to the company-wide P&L. Bringing preparation time for budget vs. actual analysis close to zero. ~
* Planning Phase: Each person in the sales, development, and human resources departments inputs KPI trees and detailed plans based on their on-site understanding. The AI agent "Zaimon" assists in plan creation, and formulas are automated and semi-standardized by the system. This reduces the likelihood of formula discrepancies and transcription errors between departments, and management planning can review each department's plan in the same structure side-by-side, significantly reducing review effort.
* Data Collection: Each department's plan is automatically aggregated into the company-wide P&L (Profit and Loss Statement) within the system. The monthly aggregation work, which previously involved collecting Excel files, transcribing data, and checking numerical consistency, disappears. This frees up time from "working overtime the night before a management meeting because the numbers don't match."
* Adaptation to Organizational and Business Changes: Even if organizational restructuring or business reorganization occurs during the fiscal year, departmental mergers and consolidations, addition of management axes, and changes in allocation rules can be immediately reflected by changing settings on the screen. There is no longer a need to recreate aggregation files every time the organization changes.
* Monthly Budget vs. Actual Analysis: When actual results are imported, budget vs. actual variances can be immediately analyzed cross-sectionally from desired perspectives such as by department, project, or product. Management planning can then spend their time on valuable discussions such as "why did it deviate" and "what should we do next," rather than on report creation.
Case 2: Utilization in New Business Divisions (Example)
~ Launching multiple businesses with the "same model" and enabling management to grasp the overall picture in real-time. ~
* At Business Launch: A workspace is created for each new business. Business managers interact with the AI agent "Zaimon" to select a model similar to their own from over 100 business models such as SaaS, e-commerce, advertising, human resources, and manufacturing. By simply entering a sales target, KPIs such as unit price and quantity are automatically back-calculated, and a draft plan is completed. Even new business leaders without financial knowledge can have a decent business plan from day one.
* Adaptation to Business Changes: New businesses often involve changes in direction. Switching from a unit price model to a subscription model or reconfiguring KPI trees can be reflected directly on the platform. In daily operations, on-site staff update monthly plans using a familiar Excel-like screen, and by importing actual CSVs, budget vs. actual variances are automatically highlighted, and the causal KPI can be drilled down to with one click.
* Management Review: Administrators can grasp all businesses across one screen. "Which business and which KPI is deviating from the plan" is visualized in real-time, preventing delays in decisions regarding withdrawal or additional investment.
■ Zaimo.ai's Vision for the Future of Management
Zaimo.ai aims to realize a management AI agent that functions as the right-hand man for management administrators and CFOs. Depending on the company's stage and structure, we are also considering the possibility of AI itself taking on a CFO-like role as an "AI CFO" to support management decision-making.
In many companies, the time of personnel involved in management is spent on "pre-processes of the actual work," such as data collection, checking consistency between files, reconciling numbers in Excel, and coordinating between departments. Not enough time is allocated to truly important management decisions and business growth decisions—this is the challenge we are addressing.
By having AI agents take over these time-consuming tasks, we want to create a society where every individual involved in management can concentrate on what they should be doing and what they want to do. That is why Zaimo.ai is developing an AI-native management platform.
■ Future Roadmap
By 2026, we plan to gradually release AI agent functions that support management operations, such as automatic analysis of budget vs. actual variances and dashboard construction.
■ Comment from Our Advisor
Matsuo Institute Co., Ltd. Executive Vice President Kongsoo Kim
Japanese corporate management has long been supported by the tacit knowledge and Excel skills of a few skilled individuals. By having AI agents handle everything from on-site plan creation to linking with company-wide plans, there is a possibility to change this structure itself. I expect that the concept of "management by all" advocated by Zaimo.ai FP&A will embody the direction that AI social implementation should aim for in the most critical area of management.
■ Inquiries and Consultation for Use/Introduction
Please contact us via the "Inquiry" button for inquiries regarding how to use or introduce Zaimo.ai FP&A.
Zaimo.ai FP&A aims to be a product that is "truly usable in practice" and that we build together with our users. Utilizing a highly flexible platform design, we are developing and improving functions that fit on-site operations, one by one, based on customer feedback.
Please let us know if you have any requests that you had to give up on due to tool limitations, such as "other budget management SaaS couldn't handle it," "it would be helpful if this report format could be generated," or "I want to reflect our unique KPI system." Because Zaimo.ai FP&A is highly customizable, there is a possibility that we can address needs that were difficult to achieve with other tools. We would be grateful if you could feel free to contact us with any small feature requests along with your consultation for introduction.
Inquiries
■ Exhibition Announcement
We will be exhibiting at "Startup JAPAN 2026" (organized by Eight Career Design Co., Ltd./Sansan Group) held at Makuhari Messe in Tokyo. You can consult with us directly while viewing the actual screen. Please stop by our booth when you visit.
--- Exhibition Details ---
Event Name: Startup JAPAN 2026 (Startup JAPAN・MDX・LGX 2026)
Dates: April 15 (Wednesday)・16 (Thursday), 2026
Venue: Makuhari Messe
Booth Number: 18-15
Official Website: Startup JAPAN EXPO 2026｜Japan's Largest Exhibition for Startups
--- Exhibition Details ---
Event: Startup JAPAN 2026 (Startup JAPAN ・MDX・LGX 2026)
Exhibition Dates: April 15 (Wednesday)・16 (Thursday), 2026
Location: Makuhari Messe
Booth Number: 7-8H of 【 18-15 】
Official Website: https://eight-event.8card.net/
■ Zaimo Inc. Overview
Zaimo Inc. is an AI x Management (FP&A: Financial Planning & Analysis) startup established in January 2023 with the mission of "Empowering everyone with the power of management." We develop and provide "Zaimo.ai FP&A," an AI agent that serves as the "right-hand man" for management to streamline budget management and business plan creation, aiming to realize a society where companies can focus more on their businesses. Please see here for company details.
Representative: Representative Director CEO Takumi Kojo
Location: 2F-C Shibuya Dogenzaka Tokyu Building, 1-10-8 Dogenzaka, Shibuya-ku, Tokyo
HP: https://lp.zaimo.ai
Inquiries: https://lp.zaimo.ai/contact
Affiliated Organizations: Japan Business Federation (Keidanren), Tokyo Employers' Association
*FP&A (Financial Planning & Analysis): A management function that supports strategic decision-making through budgeting, budget vs. actual analysis, and management analysis.
*xP&A (Extended Planning and Analysis): A management method that supports strategic decision-making for the entire company by integrating planning and analysis across all departments, including HR, sales, and supply chain, in addition to finance.
■ What is "Zaimo.ai FP&A"?
An FP&A/xP&A foundation that makes "management by all" easy to start.
Zaimo.ai FP&A is a platform that allows for immediate setup of departmental and project-based management accounting simply by importing general ledgers and actual performance files in CSV format. The imported data is reflected instantly, enabling management planning to visualize company-wide movements in real-time across multiple axes.
Furthermore, the creation of detailed business plans and KPI trees for each business division can be intuitively operated using an Excel-like UI familiar to on-site staff, with the AI agent "Zaimon" (click here for details on AI financial modeling) providing support. Even without financial knowledge, on-site staff can create plans from scratch. The created plans are automatically linked to the company-wide plan on the management planning side within the system, eliminating any need for importing or transcribing. The plans from the field, which tended to be fragmented across Excel and individual files, and the figures from management are now connected in real-time.
Since plans and actuals are available on the same platform, monthly budget vs. actual variance analysis and performance comparisons by business or project can be done with a single action on the screen. This allows for real-time identification of the causes of budget discrepancies and consideration of next steps.
In this way, a management system that enables "management by all"—where management, business divisions, and the front line can operate by sharing the same data at the same time—can be built in a short period without relying on special skills or dedicated personnel.
■ Do you have any of these management or budget vs. actual management challenges?
* Performance cannot be visualized from the desired perspectives (department, project, area, etc.), slowing down management decision-making.
* Detailed departmental plans and company-wide plans are fragmented, and a lot of effort is lost just to gather the information necessary for management decisions.
* Manual aggregation and transcription work are prone to errors, and a lot of time is spent each month checking the consistency of figures.
* Management using Excel or Google Sheets has become person-dependent, making monthly budget updates and handovers due to personnel changes difficult.
* Even after introducing existing budget management SaaS, it cannot handle the detailed plans of the field, leading to continued reliance on Excel or Google Sheets.
■ "Zaimo.ai FP&A" solves these problems comprehensively.
✅ Multi-axis revenue management and analysis by department, project, etc.
Flexible axis settings, such as by store, business, project, or area, enable real-time cross-sectional analysis. This eliminates the stress of "not getting the data from the perspective you want" and accelerates management decision-making.
✅ Eliminate manual work and errors through automatic linking and centralized management.
Financial and non-financial data scattered across Excel and spreadsheets can be imported in bulk via CSV. Since departmental and company-wide plans are automatically linked within the system, discrepancies due to manual aggregation and transcription are eliminated, and the time previously spent on consistency checks becomes unnecessary.
✅ Seamless management from business planning to budget vs. actual management.
Company-wide plans and detailed departmental plans are automatically linked within the system. The figures from the field and management, which were previously fragmented, are unified, and everything from mid-to-long-term plan formulation to monthly budget vs. actuals is completed on the same screen. The information necessary for management decisions is always readily available.
✅ Usable by anyone, eliminating person-dependency.
On-site business managers can create KPI trees and detailed plans with a familiar Excel-like interface. Management, which tended to be person-dependent, becomes a common organizational task, significantly reducing handover efforts during personnel changes.
✅ AI agent supports operations.
The AI agent "Zaimon" navigates the creation of departmental plans (click here for details on AI financial modeling). Even without financial knowledge, on-site staff can create detailed business plans from scratch, overcoming the barrier of existing SaaS that are "introduced but not fully utilized." The AI agent function will be gradually expanded in the future to include automatic analysis results and insight provision, significantly reducing the workload of management planning that was previously manual.
■ Use Cases: How Zaimo.ai FP&A can be used.
Depending on the industry and organizational structure, various management axes such as department, project, and area, as well as company-wide management or management by specific departments or subsidiaries, can be flexibly configured according to the organization's situation.
Case 1: Utilization in company-wide FP&A (Example)
~ From field plans directly to the company-wide P&L. Bringing preparation time for budget vs. actual analysis close to zero. ~
* Planning Phase: Each person in the sales, development, and human resources departments inputs KPI trees and detailed plans based on their on-site understanding. The AI agent "Zaimon" assists in plan creation, and formulas are automated and semi-standardized by the system. This reduces the likelihood of formula discrepancies and transcription errors between departments, and management planning can review each department's plan in the same structure side-by-side, significantly reducing review effort.
* Data Collection: Each department's plan is automatically aggregated into the company-wide P&L (Profit and Loss Statement) within the system. The monthly aggregation work, which previously involved collecting Excel files, transcribing data, and checking numerical consistency, disappears. This frees up time from "working overtime the night before a management meeting because the numbers don't match."
* Adaptation to Organizational and Business Changes: Even if organizational restructuring or business reorganization occurs during the fiscal year, departmental mergers and consolidations, addition of management axes, and changes in allocation rules can be immediately reflected by changing settings on the screen. There is no longer a need to recreate aggregation files every time the organization changes.
* Monthly Budget vs. Actual Analysis: When actual results are imported, budget vs. actual variances can be immediately analyzed cross-sectionally from desired perspectives such as by department, project, or product. Management planning can then spend their time on valuable discussions such as "why did it deviate" and "what should we do next," rather than on report creation.
Case 2: Utilization in New Business Divisions (Example)
~ Launching multiple businesses with the "same model" and enabling management to grasp the overall picture in real-time. ~
* At Business Launch: A workspace is created for each new business. Business managers interact with the AI agent "Zaimon" to select a model similar to their own from over 100 business models such as SaaS, e-commerce, advertising, human resources, and manufacturing. By simply entering a sales target, KPIs such as unit price and quantity are automatically back-calculated, and a draft plan is completed. Even new business leaders without financial knowledge can have a decent business plan from day one.
* Adaptation to Business Changes: New businesses often involve changes in direction. Switching from a unit price model to a subscription model or reconfiguring KPI trees can be reflected directly on the platform. In daily operations, on-site staff update monthly plans using a familiar Excel-like screen, and by importing actual CSVs, budget vs. actual variances are automatically highlighted, and the causal KPI can be drilled down to with one click.
* Management Review: Administrators can grasp all businesses across one screen. "Which business and which KPI is deviating from the plan" is visualized in real-time, preventing delays in decisions regarding withdrawal or additional investment.
■ Zaimo.ai's Vision for the Future of Management
Zaimo.ai aims to realize a management AI agent that functions as the right-hand man for management administrators and CFOs. Depending on the company's stage and structure, we are also considering the possibility of AI itself taking on a CFO-like role as an "AI CFO" to support management decision-making.
In many companies, the time of personnel involved in management is spent on "pre-processes of the actual work," such as data collection, checking consistency between files, reconciling numbers in Excel, and coordinating between departments. Not enough time is allocated to truly important management decisions and business growth decisions—this is the challenge we are addressing.
By having AI agents take over these time-consuming tasks, we want to create a society where every individual involved in management can concentrate on what they should be doing and what they want to do. That is why Zaimo.ai is developing an AI-native management platform.
■ Future Roadmap
By 2026, we plan to gradually release AI agent functions that support management operations, such as automatic analysis of budget vs. actual variances and dashboard construction.
■ Comment from Our Advisor
Matsuo Institute Co., Ltd. Executive Vice President Kongsoo Kim
Japanese corporate management has long been supported by the tacit knowledge and Excel skills of a few skilled individuals. By having AI agents handle everything from on-site plan creation to linking with company-wide plans, there is a possibility to change this structure itself. I expect that the concept of "management by all" advocated by Zaimo.ai FP&A will embody the direction that AI social implementation should aim for in the most critical area of management.
■ Inquiries and Consultation for Use/Introduction
Please contact us via the "Inquiry" button for inquiries regarding how to use or introduce Zaimo.ai FP&A.
Zaimo.ai FP&A aims to be a product that is "truly usable in practice" and that we build together with our users. Utilizing a highly flexible platform design, we are developing and improving functions that fit on-site operations, one by one, based on customer feedback.
Please let us know if you have any requests that you had to give up on due to tool limitations, such as "other budget management SaaS couldn't handle it," "it would be helpful if this report format could be generated," or "I want to reflect our unique KPI system." Because Zaimo.ai FP&A is highly customizable, there is a possibility that we can address needs that were difficult to achieve with other tools. We would be grateful if you could feel free to contact us with any small feature requests along with your consultation for introduction.
Inquiries
■ Exhibition Announcement
We will be exhibiting at "Startup JAPAN 2026" (organized by Eight Career Design Co., Ltd./Sansan Group) held at Makuhari Messe in Tokyo. You can consult with us directly while viewing the actual screen. Please stop by our booth when you visit.
--- Exhibition Details ---
Event Name: Startup JAPAN 2026 (Startup JAPAN・MDX・LGX 2026)
Dates: April 15 (Wednesday)・16 (Thursday), 2026
Venue: Makuhari Messe
Booth Number: 18-15
Official Website: Startup JAPAN EXPO 2026｜Japan's Largest Exhibition for Startups
--- Exhibition Details ---
Event: Startup JAPAN 2026 (Startup JAPAN ・MDX・LGX 2026)
Exhibition Dates: April 15 (Wednesday)・16 (Thursday), 2026
Location: Makuhari Messe
Booth Number: 7-8H of 【 18-15 】
Official Website: https://eight-event.8card.net/
■ Zaimo Inc. Overview
Zaimo Inc. is an AI x Management (FP&A: Financial Planning & Analysis) startup established in January 2023 with the mission of "Empowering everyone with the power of management." We develop and provide "Zaimo.ai FP&A," an AI agent that serves as the "right-hand man" for management to streamline budget management and business plan creation, aiming to realize a society where companies can focus more on their businesses. Please see here for company details.
Representative: Representative Director CEO Takumi Kojo
Location: 2F-C Shibuya Dogenzaka Tokyu Building, 1-10-8 Dogenzaka, Shibuya-ku, Tokyo
HP: https://lp.zaimo.ai
Inquiries: https://lp.zaimo.ai/contact
Affiliated Organizations: Japan Business Federation (Keidanren), Tokyo Employers' Association