Enterprise AI consulting delivers end-to-end transformation support — production-ready RAG/LLM architecture, agentic workflow design, LLMOps infrastructure, and AI governance — from strategy through code.
The engagement model is not a one-off 'AI strategy' deck. The most common failure mode I see across Turkish and EMEA enterprise teams is the POC that cannot ship: the demo works, but governance, hallucination control, and unit economics are not solved, so the system never reaches production. Deliverables are therefore always reference architectures + execution roadmaps you can defend in front of engineering peers, not vendor slides.
Sector emphasis: compliance-first RAG and document intelligence for banking and insurance; conversational commerce and personalization for retail and e-commerce; guardrail-heavy assistants for healthcare and legal; SOP automation and operational forecasting for manufacturing and energy. Each vertical shares a similar use-case map but a different prioritization — and the consulting process surfaces yours.
Typical engagement shapes: 2–4 week AI maturity audit (current state + opportunity map), 4–8 week architecture engagement (RAG/agent/LLMOps design + pilot), 3–6 month fractional CTO advisory (production rollout + team capability ramp), and modular enterprise training tracks.
Strategy • Architecture Design • Security Audit • Custom RAG/LLM Systems
From data to strategy
Scalable system
Fast validation
Production-ready quality
Only 1 new project slot available right now
Schedule before current capacity fills
Trust, transparency and ethical AI use are non-negotiable foundational principles for enterprise partnerships.
"No client data is stored in third-party systems. Private deployment and zero data retention policy is the default architecture."
"I work with a zero-tolerance principle for hallucination. Every AI output must be traceable to a source and auditable."
"The biggest model is not always the best choice. Token efficiency, vendor independence and long-term maintenance cost are core parameters of every design."
Turn scattered AI experiments into production-ready architecture.
Automate manual workload and ensure measurable efficiency.
Embed AI at the core of the product and differentiate fast.
AI initiatives failing to move from PoC to production
Isolated silos of scattered corporate knowledge
Client trust damaged by model hallucinations
Hype AI trends lacking a clear ROI framework
Lack of end-to-end security and RBAC architecture
Repetitive rule-based operational bottlenecks
Vendor-lock-in (e.g. forced into OpenAI limits)
Unscalable and non-traceable agentic workflow trials
A clear and transparent delivery model from pilot to full scale.
Targets, existing processes, data infra and business impact are analyzed.
Preliminary eval notes, specific problem definition, initial scope.
Use case prioritization, ROI hypothesis, and vendor vs open source decision.
Detailed project roadmap, component diagrams, executive brief.
Select 1 crucial use case to minimize risk. Build a minimum working model.
Live prototype URL, initial eval report, risk highlights.
PoC structure integrated into internal VPN/DBs. Security, automated pipelines setup.
Production-grade code repository, API service definitions and CI/CD.
End-user launch. Internal squads receive prompt-competency and operation knowledge.
Handover docs, in-house AI workshop and evaluation dashboards.
Detailed data maturity and infra report.
Open-source supported scalable design.
Production ready endpoint to data tables.
AI for RegTech processes.
Select your industry and discover how AI is applied and which KPIs it improves.
In finance, AI's most critical role is converting regulatory complexity into speed. Private deployment is mandatory, hallucination tolerance is zero.
Companies unsure where to start with AI, management teams, C-level sponsors
CEO, COO, CTO, CDO, digital transformation leaders
CTOs, platform teams, product and engineering leaders
Organizations considering RAG, internal assistants, or AI search
Teams with a specific use case wanting to experiment
Companies with a PoC but hesitant to go live
Large institutions, regulated sectors, legal/risk teams
Teams using customer-facing LLMs or agentic workflows
Teams wanting to regularly measure model and agent performance
Companies without a full-time AI leader needing expert advice
Organizations wanting to spread AI use in tech or business teams
Organizations in "build vs buy" dilemma
Calculate your estimated savings
"Şükrü ile çalışmak gerçekten farklı bir deneyimdi. RAG sistemini 3 haftada kurdu ve müşteri destek maliyetlerimizi %60 düşürdük. Teknik derinliği ve iş odaklı yaklaşımı eşsiz."
15x Faster Regulatory Analysis
Legal and ops teams were searching through 5,000+ pages of regulations manually.
65% Call Center Load Reduction
Single-queue intake was causing SLA violations and misrouting issues.
31% Fault Inspection Time Reduction
Fault records and sensor logs were scattered, leading to slow root-cause analysis.
72% Initial Review Time Gain
Detection of non-standard clauses and risky terms was manual and slow.
29% Shipment Coordination Time Reduction
Coordination between delays and routing was scattered across ERP and emails.
58% Faster Team Onboarding
Teams couldn't access consistent info across docs, tickets, and sales content.
61% Faster Initial Screening
CV screening and matching for high-volume applications was manual.
33% Faster Catalog Operations
Product descriptions and campaign texts were manually coordinated.
48% Faster Daily Policy Access
Difficulty accessing clinical guidelines led to inconsistent info usage.
4 Weeks to Readiness Map
Lack of clarity in AI usage risks and data policies across departments.
Chart your projects on a Feasibility x Business Value matrix. Select your first effort.
How ready is your org for GDPR and EU AI Acts? Checklist for IT, Legal and Product teams.
Engineering blueprint detailing everything from Vector DB type up to Chunking sizes.
Track your tasks, access reports and monitor model performance in real-time throughout your consulting engagement.
Your guarantee of working with a professional system
Available exclusively for consulting clients
Request AccessConsulting Map
This layer opens higher-intent entry points beneath the main consulting narrative and routes visitors to the most relevant landing.
Cluster metrics
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live landings
High-intent paths
3
direct paths
Detected signals
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content signals
High-intent paths
Solution Pages
Clear consulting entry points across solution pillars such as enterprise RAG, AI agents, private LLM, governance and architecture audits.
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solution pages
Featured page
Production-grade RAG systems that provide grounded, secure and auditable access to internal knowledge.
Core solution layer
Closest entry point and related paths
Role-Based Pages
Role-specific entry pages for different decision makers such as CTOs, COOs, HR, legal and operations leaders.
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role-focused pages
Featured page
Technical leadership consulting to move AI initiatives from isolated PoCs into secure, scalable and production-ready architecture.
Decision-maker framing
Closest entry point and related paths
Industry Pages
Context-specific AI consulting surfaces for banking, healthcare, ecommerce, manufacturing and regulated sectors.
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industry pages
Featured page
Banking-focused AI systems that provide secure, grounded and auditable access to regulations, policies, procedures and internal knowledge.
Context and regulation
Closest entry point and related paths
Proof Layer
These landing pages are not isolated promises. They sit inside a connected consulting system reinforced by related projects, use cases, training assets and adjacent expertise paths.
Solution Proof Layer
Solution Pages
Production-grade RAG systems that provide grounded, secure and auditable access to internal knowledge.
The project, use-case and training proof layer behind the solution landing.
Leading signals for this bundle: kurumsal rag • rag danismanligi • knowledge retrieval • kaynakli cevap
Selected assets
Next paths
Role Proof Layer
Role-Based Pages
Technical leadership consulting to move AI initiatives from isolated PoCs into secure, scalable and production-ready architecture.
Proof and support resources that reinforce the decision-maker narrative.
Leading signals for this bundle: cto yapay zeka • ai mimari danismanligi • kurumsal ai mimarisi • rag mimarisi
Selected assets
Industry Proof Layer
Industry Pages
Banking-focused AI systems that provide secure, grounded and auditable access to regulations, policies, procedures and internal knowledge.
Sector-specific proof and delivery signals that support contextual expertise.
Leading signals for this bundle: bankacilik yapay zeka • bankacilik rag • uyum asistani • mevzuat retrieval
Selected assets