AI Advisory Services

Turn Artificial Intelligence into Business Results

AI projects start with a business decision, not a technology decision. From use case prioritization to governance framework, from pilot management to scaling plan, we manage your AI journey end to end.

20+ Years Experience
78+ Completed Projects
12+ Industries
90 Days First Results Target
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Who Is AI Advisory For?

AI initiatives impact the entire organization. We understand that different roles have different questions and needs. We offer a tailored approach for every level.

C-Suite (CEO/GM)

Decision-makers who want to understand the strategic value, return on investment, and competitive advantage of AI. We bring clarity to the questions of what to invest in, when, and how much.

Operations Leaders

Managers seeking tangible efficiency gains through AI in manufacturing, supply chain, or customer service. Together, we identify which processes will deliver the greatest impact.

IT and Technology Teams

Technical teams that need a roadmap for AI infrastructure, data architecture, and integration. We design a sustainable architecture that is compatible with your existing systems.

Board of Directors

Senior decision-making bodies that want to assess the risk-return balance, ethical dimensions, and corporate governance impact of AI investments. We provide governance frameworks and reporting structures.

What We Do

AI projects don't start with training a model; they start with asking the right question. We offer six core service areas focused on strategy, assessment, and governance.

Use Case Analysis and Prioritization

We deeply analyze your business processes and identify areas where AI can be applied. We score each scenario by impact, feasibility, and readiness level to create your investment priority ranking. This ensures resources are directed to areas with the highest return potential.

AI Roadmap

We create a concrete roadmap by aligning your short-, medium-, and long-term AI strategy with your business goals. We plan technology selection, capability development, data infrastructure, and organizational readiness steps along with a timeline.

Data and Process Readiness

We assess your existing data assets, perform quality analysis, and determine your readiness level for AI projects. With a data collection, cleansing, and enrichment strategy, we prepare your processes for AI-powered operations.

Vendor and Solution Evaluation

Without being tied to any brand, we objectively evaluate the AI solutions and platforms best suited to your needs. We conduct comparative analysis across functional fit, total cost of ownership, integration ease, and scalability criteria.

Pilot Management and PoC Coordination

We define the pilot project scope for the selected use case, establish success criteria, and coordinate the implementation process. We evaluate pilot results with measurable metrics to provide reliable data for the scaling decision.

AI Governance Framework

We design an enterprise governance framework covering ethical principles, data privacy, risk management, and decision-making mechanisms for AI use. We establish policies, roles, and audit processes for responsible and sustainable AI adoption.

Our 90-Day Working Framework

AI projects start with structured steps, not uncertainty. Our 90-day framework clearly defines the path from discovery to first tangible results.

1

Discovery and Assessment

Days 1-30
Step 1

Business Process Mapping

We thoroughly examine your current business processes and identify areas where AI can create impact.

Step 2

Data Asset Analysis

We evaluate your existing data sources, their quality, and accessibility, and determine your data maturity level.

Step 3

Use Case Discovery

We identify potential AI use cases and score each one based on business impact and feasibility.

2

Strategy and Roadmap

Days 31-60
Step 4

Prioritization and ROI Model

We evaluate use cases with a return on investment model and establish the priority ranking.

Step 5

Technology and Architecture Design

We evaluate technology options compatible with your existing infrastructure and design the integration architecture.

Step 6

Roadmap Development

We deliver your short-, medium-, and long-term AI roadmap with resource planning and a timeline.

3

Pilot and Implementation Kickoff

Days 61-90
Step 7

Pilot Scope Definition

We define the pilot project scope, success criteria, and timeline for the highest-priority scenario.

Step 8

Implementation Coordination

We coordinate the pilot implementation, track progress, and make necessary adjustments quickly.

Step 9

Results Assessment and Scaling Plan

We measure pilot results, document learnings, and deliver our recommendation report for the scaling decision.

Why an Independent Consultant?

In the AI market, every solution provider presents their own product as the best. As an independent consultant, we work solely for your business outcomes.

Vendor Independence

We receive no commissions from any AI platform or solution provider. Our evaluations are completely objective; we recommend the best solution for you, not the most profitable sale. This independence protects you from unnecessary licensing costs and incompatible technology choices.

Business Value Focus

AI projects should be evaluated by business outcomes, not technology curiosity. We back every recommendation with measurable business metrics. Our 20+ years of digital transformation experience is our greatest strength in turning technology into business value.

End-to-End Support

We don't just write strategy documents; we stand beside you at every step from pilot management to scaling planning, from governance framework to team training. Our ERP and process management experience enables seamless integration of AI with your existing enterprise systems.

Frequently Asked Questions

We have compiled the most commonly asked questions and answers about AI advisory services.

What exactly is AI advisory?
AI advisory is a professional service that helps businesses derive measurable business value from artificial intelligence technologies. It encompasses use case analysis, feasibility assessment, roadmap creation, pilot project management, and governance framework design. The goal is to integrate AI into enterprise processes with a business-outcome-driven approach rather than a technology-driven one. Our core focus is making the right decisions and managing implementation, not training models or writing code.
Which industries do you provide AI advisory services to?
We provide AI advisory across manufacturing, logistics, retail, finance, healthcare, energy, and many other industries. Each sector has its own unique data structures and process dynamics. With 20+ years of digital transformation experience, we understand sector-specific needs and develop tailored AI strategies accordingly. Our industry-specific use case library helps accelerate the initial phase.
How long does a typical AI project take?
Project duration varies by scope. A use case discovery and feasibility study takes 4-6 weeks, a pilot implementation 2-3 months, and scaling 3-6 months. With our 90-day working framework, we manage the journey from discovery to initial pilot results in a structured manner. The key is to produce tangible results in short cycles rather than large, lengthy projects, and to create decision points at every stage.
Is data preparation required before starting AI projects?
Yes, data quality is a decisive factor in the success of AI projects. However, this does not mean you need perfect data. We assess your existing data assets, identify gaps, and determine what level of data preparation is sufficient. Some use cases can be quickly implemented with your current data, while others may require a data collection and cleansing process. In the first phase, we conduct your data maturity analysis to clarify this picture.
How does AI work together with existing ERP and business systems?
AI operates as a value-adding layer on top of your existing enterprise systems. Data from your ERP, CRM, and other business systems serves as input for AI models; the predictions and recommendations produced by the models are then executed through these systems. The integration architecture is designed during the pilot phase and tailored to your existing infrastructure. Our digital transformation and ERP experience is a significant advantage in ensuring this integration goes smoothly.
How is the cost of AI advisory determined?
Cost is determined based on the project's scope, duration, and complexity. The initial discovery call is free of charge. We typically work with a phase-based fixed-price model, so the budget for each stage is predetermined. This approach prevents uncontrolled cost escalation and allows you to make a continuation decision at the end of each phase. For detailed scope and budget information, please reach out to us through our contact page.

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The first discovery call is free. Let's assess your business's AI potential together and create a customized roadmap for you.

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