AI Solutions
- Workflow automation mapped to your operations
- LLM and AI integrations for support and internal workflows
- Model evaluation, guardrails, and production reliability
Cengiz Tech
We design and build production-grade solutions that solve real operational problems and create measurable impact.
Start with an AI strategy consultation focused on measurable business outcomes.
Services
Our services combine business clarity and engineering rigor, so projects ship with measurable outcomes instead of vague experiments.
Delivery Process
We reduce implementation risk with clear milestones, transparent ownership, and iterative delivery.
Step 1
Clarify business goals, constraints, and target metrics before any implementation starts.
Step 2
Design the system and implementation plan around reliability, speed, and scalability.
Step 3
Ship in iterative increments with visibility, quality checks, and stakeholder feedback loops.
Step 4
Deploy with validation, observability, and performance safeguards from day one.
Step 5
Refine workflows and system behavior based on real usage data and business outcomes.
Use Cases
Typical initiatives where we help teams reduce friction and improve operational quality.
Reduce manual processing time and error rates in repeatable internal workflows.
Centralize fragmented data into clear internal interfaces for better decisions.
Use AI-enhanced systems to improve response quality and execution consistency.
Why Cengiz Tech
We combine business ownership and senior engineering execution to move initiatives into production with confidence.
Every technical decision is tied to measurable operational or financial outcomes.
Production quality, reliability, and maintainability are core delivery requirements.
From strategy to launch, responsibilities and progress are always transparent.
Implementation quality takes priority over hype-driven feature volume.
FAQ
Clear expectations on timelines, scope, and delivery model before we start your engagement.
We map your operational bottlenecks, define measurable KPIs, and recommend an implementation path focused on production outcomes.
Yes. We integrate with current data sources, APIs, and workflows so teams can improve outcomes without replacing everything at once.
Most engagements begin with a discovery and architecture phase, followed by iterative delivery milestones over several weeks depending on scope.
Yes. We support projects in English and Turkish and can align communication with local and distributed teams.
Contact
Tell us your goal, constraints, and timeline. We will propose a practical path to implementation.
Book a Discovery CallWe respond within 24 hours.