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WTBCompany AI Maturity Assessment: Level 3 in TİM Self Assessment

WTBCompany AI Maturity Assessment results confirm that our company has reached Level 3: Defined in the TİM AI Maturity Self Assessment, with an overall score of 2.90 out of 5.00.

The benchmark average for the Furniture, Paper and Forest Products sector is 2.50 out of 5.00, positioning WTBCompany approximately 0.40 points above the sector average.

For us, the importance of this assessment goes beyond the final score. It provides a structured view of where WTBCompany currently stands in artificial intelligence and digital transformation, where our strongest organizational capabilities are, and which areas should become priorities in our 2026–2027 transformation roadmap.

Five Dimensions of AI Maturity

The TİM AI Maturity Self Assessment evaluates companies across five complementary dimensions: Strategy, Data Management, Competency, Process and Scalability.

WTBCompany achieved the following results:

Strategy: 3.25 / 5
Data Management: 2.75 / 5
Competency: 3.50 / 5
Process: 2.00 / 5
Scalability: 3.00 / 5

Our strongest dimension was Competency, where WTBCompany achieved 3.50 / 5, compared with a sector benchmark of 2.50 / 5.

This result is particularly important because digital transformation is not driven by technology alone. Sustainable AI adoption also depends on management commitment, organizational culture, the ability of teams to work together, and the willingness of business units to integrate new technologies into everyday operations.

Strong Leadership and Strategic AI Adoption

The Strategy dimension reflects WTBCompany’s management-level commitment to artificial intelligence and digital transformation.

Artificial intelligence is already being used as a practical business capability across several areas of our operations, including international project communication, technical document analysis, multilingual customer interaction, quotation preparation, project evaluation and sourcing activities.

The assessment also highlights senior management leadership, alignment between AI initiatives and business objectives, and regular market and competitor analysis as important strengths.

Our approach is straightforward: artificial intelligence should not be implemented because it is fashionable. It should solve a real business problem, improve decision-making, increase speed or create measurable operational value.

Competency: Our Strongest Dimension

With a score of 3.50 / 5, Competency was the strongest area of the WTBCompany AI Maturity Assessment.

Our organizational approach includes data-driven decision-making, cross-functional collaboration, Agile-style project execution, external knowledge transfer when specialist expertise is required, and a culture that encourages experimentation and continuous learning.

We also believe that successful digital transformation requires active business ownership. New AI-supported solutions should not remain isolated within a technical team. They need to become part of the actual workflow of sales, project management, sourcing, technical evaluation and customer communication.

Data Management: The Next Major Opportunity

WTBCompany achieved 2.75 / 5 in Data Management, also above the sector benchmark.

This dimension clearly shows where one of our most important future opportunities lies.

A significant amount of project and operational data is still distributed across Excel files, project documents, quotations, BOQs, customer correspondence and different operational systems.

The next stage of our digital transformation will therefore focus not only on using additional AI tools, but also on creating a stronger and more structured data foundation.

Our long-term objective is to connect critical project information through a more integrated structure:

Client → Project → BOQ → Product → Manufacturer → Cost → Quotation → Order → Delivery → Project Result

Such a structure can create the foundation for more reliable reporting, faster project analysis, improved supplier comparison and stronger AI-supported decision-making.

Why the Process Score Requires Context

WTBCompany received 2.00 / 5 in the Process dimension.

This result requires some context because the TİM methodology includes several manufacturing-oriented criteria such as MPS, WIP management, AGV and AS/RS systems, predictive maintenance, production-line quality control, automated material handling and autonomous inventory optimization.

WTBCompany does not operate as a conventional single-site furniture factory.

Our business model is based on international project management, contract manufacturing coordination, supplier-network management, custom furniture sourcing and global project delivery.

For this reason, our digital transformation priorities are different from those of a conventional manufacturing plant.

Our main opportunity is not necessarily factory robotics or autonomous warehouses. It is the digitalization and intelligent automation of the project-driven processes that directly create value for our clients.

2026–2027 AI & Digital Transformation Roadmap

The TİM assessment will serve as one of the reference points for WTBCompany’s 2026–2027 AI and Digital Transformation Roadmap.

Our first priority will be AI Governance and Data Governance. We plan to establish clearer internal principles covering responsible AI use, customer and supplier data protection, KVKK and GDPR compliance, human validation of AI-generated outputs, confidential project information and internal AI usage standards.

Our second priority will be the development of a more integrated project data infrastructure. Customer, project, BOQ, product, manufacturer, supplier, cost, quotation, logistics and project-result data should increasingly become connected rather than managed as isolated information.

The third priority will be the deeper integration of AI into WTBCompany’s core commercial and project operations.

Key areas include RFQ and BOQ analysis, technical specification review, quotation preparation, supplier comparison, cost analysis, logistics analysis, customer lead evaluation, multilingual project communication, project documentation review and project information retrieval.

Our fourth priority will be KPI and ROI measurement.

We want to move beyond measuring how often AI is used and begin measuring what AI actually contributes to the business.

Relevant performance indicators can include quotation preparation time, RFQ analysis time, customer response time, document review time, quotation error rate, lead conversion, employee-hours saved, project-processing time and measurable operational savings.

Scalability and Continuous Improvement

WTBCompany achieved 3.00 / 5 in Scalability.

This reflects our ability to test new digital concepts relatively quickly, develop practical MVP-style solutions, collect feedback from users and expand successful approaches into other business processes.

The next step is to make this process increasingly structured through stronger documentation, clearer ownership, standardized evaluation criteria and measurable business outcomes.

From AI Usage to AI-Enabled Business Operations

WTBCompany views artificial intelligence not simply as a new technology, but as a strategic capability supporting international project management, customer experience, operational efficiency and global competitiveness.

The 2.90 / 5 — Level 3: Defined result shows that WTBCompany is already positioned above the sector benchmark while also clearly identifying the areas that require further development.

Our objective for 2026–2027 is therefore not simply to use more artificial intelligence.

It is to build a more intelligent, connected, measurable and scalable international project-management organization.

Assessment Note

The TİM AI Maturity Assessment is a self-assessment tool and should not be interpreted as an external certification or accreditation.

The assessment report was automatically generated through the TİM AI Maturity Assessment Tool.