AI Integration Solutions for Every Stage

From initial exploration to enterprise-wide implementation, we provide services tailored to your organization's AI maturity and objectives.

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AI Solutions Overview

Our Solutions Approach

We believe effective AI integration requires understanding business context before selecting technology. Our methodology starts with identifying actual problems, evaluating whether AI provides the optimal solution, and designing implementations that fit within operational realities.

1

Assessment

Thorough evaluation of business challenges, current capabilities, and readiness for AI adoption.

2

Design

Solution architecture that integrates with existing systems and respects organizational constraints.

3

Implementation

Phased deployment with knowledge transfer, testing, and ongoing support until stable operation.

AI Readiness Diagnostic
For SMEs

AI Readiness Diagnostic

A streamlined diagnostic service specifically designed for small and medium enterprises that want to understand their starting point for AI adoption without the overhead of a full enterprise assessment.

Five to Seven Day Evaluation

Focused interviews and system reviews of core business processes, data assets, technology stack, and team capabilities.

Actionable Report

Identifies two to three high-impact, low-complexity AI opportunities suited to your scale and budget.

SME Budget Appropriate

Pricing and implementation considerations sized for small and medium enterprise budgets.

฿15,500 per diagnostic
Request Diagnostic
For Finance Teams

AI-Powered Financial Intelligence

Development of machine learning models for financial applications including cash flow forecasting, expense anomaly detection, credit risk scoring, revenue prediction, and automated financial reporting narratives.

System Integration

Integrates with accounting systems, banking feeds, and ERP financial modules to create unified financial intelligence layer.

Thai Market Calibration

Models trained on historical data and calibrated with macroeconomic indicators relevant to Thailand.

Compliance Built-In

Thai accounting standards and PDPA data requirements incorporated into every component.

฿41,500 per implementation
Discuss Requirements
Financial Intelligence AI
Enterprise AI Operating Model
For Enterprises

Enterprise AI Operating Model Design

Design of a comprehensive operating model that defines how AI initiatives are governed, funded, staffed, delivered, and measured within your organization.

Organizational Structure

Options for centralized, federated, or hub-and-spoke models with clear role definitions for AI positions.

Governance Frameworks

Budgeting and prioritization frameworks, technology stack standardization, vendor management protocols.

Implementation Support

Blueprint document, roadmap, RACI matrix, and change management plan for adoption.

฿50,500 per engagement
Explore Engagement

Solution Comparison

Choose the solution that matches your organization's stage and objectives

Feature SME Diagnostic Financial Intelligence Operating Model
Duration 5-7 business days 8-12 weeks 6-10 weeks
Deliverable Assessment report Working AI system Operating model blueprint
Technical implementation
Post-deployment support 3 months included Q1 implementation support
Team training Overview session Comprehensive training Leadership workshops
Best for AI exploration Specific use case Enterprise scaling
Investment ฿15,500 ฿41,500 ฿50,500

Technical Standards and Protocols

Quality and compliance measures applied across all solutions

Data Security

Encryption at rest and in transit, role-based access controls, audit logging, secure development practices, and regular security assessments.

Regulatory Compliance

PDPA adherence, sector-specific regulations for financial and healthcare industries, data residency requirements, consent management frameworks.

Quality Assurance

Model validation protocols, bias detection and mitigation, performance monitoring, accuracy benchmarking, and regular retraining schedules.

Integration Standards

API-first architecture, standard data formats, version control, documentation requirements, and backward compatibility considerations.

Documentation

Technical specifications, model documentation, user guides, operational runbooks, and decision logic explanations in accessible language.

Knowledge Transfer

Structured training programs, hands-on workshops, documentation review sessions, and ongoing support during transition period.

Ready to Begin Your AI Journey?

Let's discuss which solution aligns with your current needs and future objectives

Schedule a Consultation