Ganabasaha designs and executes your AX implementation
More than just tool adoption, we redesign how your organization works around AI. Our AX (AI Transformation) implementation agency covers everything: diagnosis, training, PoC, pipelines, data internalization, and operational handover.
Ganabasaha AX Service Lineup
From diagnosis to transition — We provide 7 key areas required for organizational AX adoption through a single partner.
AX Diagnosis Consulting
Objectively assess organizational maturity, work inventory, and automation candidates
In-house AI Transformation Training
Strengthen overall employee capabilities from AI literacy to role-specific applications
90-Day PoC Design & Execution
Validate in small cycles every 2 weeks and deliver measurable results
Automation Pipeline Construction
Design work pipelines connecting meeting minutes, research, drafting, and visualization
Data Internalization · RAG
Convert tacit knowledge into explicit data and connect internal regulations/past data to AI
Multi-Agent Workflow
Design autonomous stages where entire tasks can be delegated
Transition & Standardization
Standardize proven patterns into internal assets and transfer capabilities
AX as Defined by Ganabasaha
AX (AI Transformation) is a fundamental shift that redesigns the way an organization works by integrating AI across tasks, decision-making, and customer experience. Ganabasaha performs this redesign on behalf of our clients.
Beyond Tool Adoption
A ChatGPT subscription is merely "using AI." Ganabasaha restructures your workflows and decision-making structures to be AI-centric.
Process Intelligence
We integrate AI that assists in analysis, proposal, and judgment into your workflow, elevating it to the core of collaborative decision-making.
Structural Transformation
Moving beyond simple efficiency gains, we transition you toward new operational structures and business models — where a smaller team can achieve higher performance.
DX and AX are Different — Therefore, the approach must differ
“"DX is Automation, AX is Autonomy" — Satya Nadella, CEO of Microsoft”
DX · Digital Transformation
Analog → Digital · Automation
- Converting paper documents into electronic files
- Migrating manual tasks to systems and SaaS
- Humans manipulate the system to improve efficiency
- Auxiliary tools operating according to set rules
- e.g., Taking restaurant orders via a kiosk
AX · AI Transformation
Digital → Intelligence · Autonomy
- AI analyzes and suggests based on data
- Learning tacit knowledge to create expert chatbots
- AI assists judgment and collaborates with humans
- Understanding context to generate goal-oriented results
- e.g., Recommending menus based on order history/weather
AX Market Trends and Reality
Big Data · Cloud
Data collection & storage
DX Digital Transformation
Process Digitization
Rise of ChatGPT
Dawn of the Generative AI Era
AX AI Transformation
Intelligence in Organizational Operations
What stage is your company currently in?
In the first meeting, Ganabasaha objectively assesses your current position using the AX 4-stage maturity model. Implementing solutions that don't match your stage only increases costs without delivering results.
Tool Utilization
A stage where individuals use generative AI out of curiosity. Only a few proficient users see increased productivity.
Task Automation
Repetitive tasks are removed via VBA, Python, or RPA, but dependency on specific talent has increased.
Data Internalization
Scattered data is gathered and combined with intelligence via AI APIs. The process of turning data into organizational assets begins.
Context Design
Delegate entire workflows to multi-agents. A stage where the very way of working is restructured.
95% of AX Implementations Fail to Deliver Results
AI is structured so that costs accrue as it is used more. You must understand exactly why most internal attempts fail to bypass these hurdles — Ganabasaha holds the experience of navigating these pitfalls.
The Barrier of Revenue Models
Most AI initiatives aimed at creating new revenue do not have a significant impact on Profit & Loss (P&L). While budgets are concentrated on sales and marketing, actual ROI comes from the back office — we start with this understanding.
The Barrier of Cost Structure
Token and inference costs are proportional to usage. Unless you automate only those tasks where "AI Cost < Savings Effect," margins will not keep up even as revenue grows.
Ganabasaha's starting question is different — instead of "How much can we earn with AI?", it is "What can we save, and where can we focus our people?"
The Core Promise of Ganabasaha AX Services
We do not promise to "make you earn more with AI." Instead, we reduce costs and reclaim human time for more valuable tasks — this is the most certain and measurable ROI.
Reducing Your Costs
- Save time and labor costs by automating repetitive tasks
- Select only tasks where "AI Cost < Savings Effect"
- Immediate, measurable ROI focused on back-office efficiency
Focusing People on Higher Value Work
- AI handles drafts and repetition; humans handle judgment, creativity, relationships, and strategy
- Reallocate time freed from routine tasks to high-value work
- Design organizational structures that achieve higher performance with the same headcount
4 Principles We Follow in AX Projects
These are the principles for delivering results, agreed upon by senior developers and planners with over 15 years of experience in AX projects.
Single Task Pilot First
We do not aim for enterprise-wide automation as the first goal. We validate on a single task with quick impact and low dependency before scaling.
Main candidates: Meeting minutes, Weekly report drafts
Measurable Goal Setting
We do not produce vague results like "Implemented AI." We agree on KPIs verifiable by numbers before the project starts.
e.g., 50% reduction in draft preparation time
2-Week Cycle Validation
Experiments validated every 2 weeks generate more momentum than a two-month plan. We operate short cycles of PoC → Validation → Expansion.
2-week PoC → Validation → Expansion pattern
Prioritize Candidate Selection
Not every repetitive task is a candidate for automation. Identify "tasks suitable for automation" through diagnosis and start with those that have low risk.
Assign priorities after risk assessment
Task Classification from Diagnosis Workshop
In Ganabasaha's primary diagnosis workshop, we collect repetitive tasks by department (task name, owner, frequency, duration, tools, outputs) and provide an inventory categorized into three types.
Ready for Pilot
Structured tasks with clear rules, high repetition, and low risk. Start PoC immediately.
Data entry · Document classification · Meeting minutes · Regular reports
Standardize then Automate
Tasks where processing methods vary by person. Standardize the criteria and organize into a manual before automating.
Customer service · Quote review · Analysis framework
Human Judgment Recommended
Tasks with high impact if failed, such as sensitive information or high-value decisions. AI serves only as an assistant; final judgment remains with humans — excluded from automation recommendations.
Expense execution · Contract review · Personal data processing
Training Module ① Employee Work Diagnosis Workshop
"The task you are doing by hand right now can be programmed at any time."
This realization is the starting point of Ganabasaha training. By experiencing how daily manual tasks can be transformed into AI, employees gain a sense of efficacy—'I can make my work better'—which then becomes the momentum to spread throughout the entire organization.
Time Usage Diagnosis
In the first step of the workshop, employees record their working hours for one week. A Ganabasaha trainer provides a diagnosis template and coaching.
Identify Bottlenecks
We identify "bottleneck tasks" that are repetitive, tedious, and time-consuming. Once patterns emerge by department, they are linked to PoC candidates.
AI Application Point Analysis
Identify segments within bottleneck tasks where AI can create drafts or automate processes. This includes hands-on sessions where employees try it themselves.
Training Module ② Job-Specific AI Utilization Curriculum
Planning & Strategy
Market research summaries, draft proposals, competitor data organization, idea generation
Marketing
Content & ad copy generation, performance data summary, automated personalized customer proposals
Sales
Customer research, CRM data organization, follow-up email drafting, response prioritization suggestions
Management Support
Email & document drafting, meeting minutes summary, utilizing RAG chatbots for policy Q&A
Finance · Accounting
Drafting reports, matching evidence, collecting and organizing external market data/forecasts
Development · Operations
Code review drafts, repetitive script generation, log analysis, documentation automation
Training Module ③ Tool Pipeline Design Practice
Move beyond using single tools to building the capability to connect steps. Based on patterns verified by Ganabasaha, we will practice compressing workflows that took 10 hours into under 1 hour.
Meeting Minutes
Voice → Text auto-organization & summary
Research
Data collection & key summary
Drafting
Report & document draft generation
Visualization
Slide & Chart Automation
Ganabasaha education starts with AI literacy (understanding principles like tokens and context windows). You must understand "why" and "how" to design tools into a pipeline.
5-Step Ganabasaha AX Implementation Process
Task Listing
Collect repetitive tasks by department, including frequency and time spent, during the diagnostic workshop.
Prioritization
Select a single task with high impact and low risk as the first pilot project.
Pilot (PoC)
Conduct small-scale experiments in 2-week cycles and verify measurable results together.
Standardization
Document success criteria, data flow, and responsibility structures into internal standard operating procedures (SOPs).
Scaling & Transfer
Expand proven patterns to other tasks/teams and transfer internal operational capabilities.
Operate Go/No-Go gates at the end of each stage. Objectively decide whether to proceed to the next step after verifying performance — controlling risks step by step.
Workflow Redesign — Together with Ganabasaha
Workflow Transition
Performed by humans → Assisted by AI
Drafted by AI → Verified & Decided by humans
The core is role redesign to clarify "who does what and when humans intervene." Ganabasaha designs the role matrix for each department.
Data Internalization — We build it for you
- Extract and document employee know-how through interviews
- Gather scattered data into one place for up-to-date, consistent management
- Connect internal regulations and historical data to AI via RAG
- An internal AI chatbot that provides answers based on "our organization's context" beyond general responses
Are you facing these challenges?
“"We trained people on AI and introduced tools, but we don't feel like the organization has actually changed" — this is what we hear most often. The causes are similar, and Ganabasaha solves them all.”
AI is confined to private chat windows
The AI remains in individual employees' ChatGPT windows instead of being integrated into the organizational workflow.
Ganabasaha redesigns it for team-based workflows
Dependent on a few power users
A structure where only a few skilled individuals handle all requests, increasing dependency on specific talent.
Standardize and scale capabilities across the company with Ganabasaha training programs
Data is scattered everywhere
Data is dispersed across various tools and documents, preventing the AI from connecting with organizational context.
Ganabasaha data internalization & RAG construction services
No maintenance staff after external consulting
A situation where there is no one to maintain or develop the system after consultants leave.
Ganabasaha takes responsibility for operation transfer and skill transfer
Ganabasaha AX Implementation 90-Day Standard Process
- 1Employee Time Usage Diagnosis Workshop
- 2Departmental Repetitive Task Inventory
- 3Select 1st PoC Task Together
- 4Agree on Measurable KPIs
- 1Implement PoC Automation with AI Tools
- 2Measure & Report Results in 2-Week Cycles
- 3Joint Go/No-Go Gate Review
- 4Document Success Criteria & Data Flow
- 1Establish Validated Patterns as Internal Standards
- 2Commence Data Integration & Internalization
- 3Expansion to other tasks and teams
- 4Handover of operational responsibility and knowledge transfer
AX is not completed with a single approval
Employee Capabilities
Boost employees' AI utilization skills through diagnostic workshops and modular curricula.
Process
Standardize patterns verified through PoC and accumulate them as organizational assets along with data.
Pre-operation
We don't leave after consulting. We transfer capabilities to internal staff to ensure a self-sufficient transition.
Build your success step by step, quarter by quarter, with Ganabasaha.
Ganabasaha defines the start of your company's AX journey
From diagnostic workshops and internal AI training to PoC design, automation pipeline construction, data internalization, and pre-operation — we take full responsibility as a single partner. In the first meeting, we will diagnose your maturity level and define the first steps tailored to your organization.