AI Diagnoses and Proposes Optimal Paths for IT Integration and Cloud Migration After M&A: Multiple Scenarios and Cost Estimates Provided in as Little as Two Weeks

70% of M&As fail due to IT integration

What happens in the first 100 days after an M&A deal closes? The acquiring company's cloud environment and the target company's systems are mixed, and no one can immediately answer what should be integrated in which order. There are on-premises servers, legacy Oracle systems, and different cloud environments. In the field of PMI (Post-Merger Integration), months and tens of millions of yen are spent just to find the answer to this question.

And yet, they still fail. Research (McKinsey & Company) shows that over 70% of M&A transactions fail to generate the expected value. One of the main reasons repeatedly pointed out is the failure of IT integration.

Projimo LLC (Headquarters: Itabashi-ku, Tokyo) started providing a service to solve this structural problem in June 2026.

Why couldn't this be solved until now?

The fundamental reason is that there are extremely few individuals or companies that possess the necessary combination of expertise in the PMI-IT domain.

Advisors who understand M&A structure and due diligence, and cloud architects who can design and execute migrations on AWS or GCP, are usually handled by different companies and different people. This creates an information gap between strategy and execution, leading to errors in the migration plan that are only discovered after integration.

Furthermore, Japan faces a chronic shortage of cloud specialists. Securing personnel capable of designing optimal cloud migration paths within the limited timeframe of the PMI period is itself a significant challenge.

Three Differentiators Offered by Projimo

① Comparative Proposal of Multiple Migration Scenarios, Including Costs

Traditional cloud migration consulting takes weeks to answer 'which strategy is optimal.' With Projimo's service, simply inputting the current system environment allows for a simultaneous comparison of the following three strategies:

Lift & Shift (Fastest migration, minimal risk): Move existing systems directly to the cloud. Migration period: 1-3 months. Re-platform (Partial optimization): Replace services like Oracle to Aurora, VMware to EC2 for optimization. 30-50% cost reduction. Re-architect (Full cloud-native): Complete redesign to EKS, Lambda, Aurora. Up to 70% cost reduction.

For each scenario, current monthly costs and post-migration monthly costs are estimated by referencing actual AWS pricing (e.g., Reserved Instance up to 40% discount, Savings Plans up to 66% discount). This prevents the typical failure of 'costs increased after migration' through prior numerical analysis.

② One-Stop Coverage of Five Scenarios, from On-Premises to Cloud

Not limited to post-M&A integration, the service diagnoses and proposes solutions for all of the following:

New migration from on-premises to cloud (including physical servers, VMware, Oracle, SAP, COBOL) Cloud integration after M&A (PMI) Modernization of legacy systems Optimization of hybrid environments Cost optimization and security enhancement of existing clouds

Projimo consolidates services that were previously fragmented into 'post-M&A integration specialists' and 'cloud migration specialists' under one company.

③ Identifying AI Utilization Opportunities Alongside Cloud Migration

In parallel with the migration diagnosis, the service diagnoses which business processes can incorporate AI. It proposes business AI implementation using Amazon Bedrock, GCP Vertex AI, and Azure OpenAI Service, presenting specific ROI including AI utilization for M&A integration tasks (DD report analysis, integration plan creation, management report generation). The timing of cloud migration is also an optimal opportunity to build an AI foundation.

Comparison with Traditional Consulting

Migration scenario proposal: Weeks to months, millions to tens of millions of yen → As little as 2 weeks Cost (diagnosis phase): ¥300,000~ Scope: PMI or Cloud (division of labor) → PMI × Cloud × AI (one-stop) Cost estimation method: Often rough estimates → References official AWS/GCP/Azure pricing Identification of AI utilization opportunities: Includes simplified version → Includes detailed report

Service Fees

Cloud Integration Basic Diagnosis: ¥300,000 (excluding tax) / Minimum 2 weeks Cloud Integration Detailed Diagnosis + Integration Plan Creation: ¥800,000 (excluding tax) / Minimum 3-4 weeks

Integration Execution PMO Continuous Support: ¥600,000~/month (excluding tax) / 2-3 days per week

AI Implementation Support (Separate Service)

AI Feasibility Diagnosis: ¥150,000~ AI-PoC Support: ¥500,000~ AI Utilization Platform Production Build: ¥1,500,000~ PMI×AI Automation Support: ¥800,000~

PMI-Specific SaaS 'Claimo' Scheduled for Release in 2027

Field knowledge accumulated through consulting delivery will be productized as a PMI-specific project management SaaS. It will feature functions specialized for post-M&A integration projects, such as automatic generation of Day 1 plans, IT asset inventory, and AI-powered automatic generation of weekly reports. Scheduled for release in 2027. (Currently crowdfunding on the website.)

Company Overview

Company Name: Projimo LLC Representative Member: Takahiro Nishikawa (Holds 7 AWS certifications, including AIP-C01 AWS Generative AI Developer - Professional) Location: Itabashi-ku, Tokyo Established: February 2026 URL: https://projimo.jp

For details, see the website.

Contact: info@projimo.jp