Commercial Pillar Guide
How to pick a production-grade AI development partner in Turkey
Related service: AI Development
PoC vs production
Most AI projects in Turkey stall at PoC because eval, fallback, cost, and security layers are unplanned. Production AI needs prompt + retrieval + tool-call + monitoring + versioning discipline.
A strong AI partner asks which user decision accelerates before which model. Model choice follows metrics: accuracy, latency, token cost.
LLM, agents, automation: when to use what
Chat assistants generate answers; agent workflows orchestrate multi-step tool use; automation accelerates repeatable ops with human approval. Pick one high-value flow before blending all three.
Cost and token economics
AI cost is not just build—it is inference burn rate. Caching, routing, smaller models, batching, and context trimming are production requirements. Figtures sets cost ceilings and alerts per feature.
Security, privacy, and leakage prevention
Enterprise AI needs PII redaction, prompt-injection defense, and audit logs. For Turkey operations, data residency and KVKK processes are clarified in discovery.
Figtures AI delivery framework
We progress discovery → eval set → guardrails → integration → hardening. Each sprint ends with demos measured on real product data—not slides.
Figtures delivery scope
Deliverables
- • LLM features (chat, summarization, extraction)
- • Agent workflows and tool-integration layer
- • Evaluation, monitoring, and fallback setup
- • Product API and frontend integration
Process
Discovery
We define use cases, risks, and success metrics.
Architecture
We design model, prompt, retrieval, and tool chain.
Build
We implement production-grade features in your product.
Hardening
We harden with observability, quality, and cost control.
Comparison
| Criteria | Alternative | Figtures |
|---|---|---|
| Eval discipline | Manual "looks good" testing | Scenario sets + regression + cost tracking |
| Product integration | Detached chat widget | AI embedded in core UX flows |
Sample timeline
Use-case discovery
1 week
Metrics + risk matrix
Production sprint
4–8 weeks
Live AI feature
Frequently Asked Questions
Is ChatGPT integration enough?+
Integration is a start—production is risky without eval, fallback, and cost control.
Which models do you support?+
OpenAI, Anthropic, and open models—chosen by use-case metrics.
Can you add AI to an existing product?+
Yes. We audit the current architecture and integrate AI features incrementally with low migration risk.
Do you handle model strategy and cost optimization?+
Yes. We set model/runtime strategy around quality, latency, and cost tradeoffs.
Do you only consult, or also build?+
We work from strategy through production delivery, including embedded execution with your team.
Related guides
Custom Software Development in Turkey — Complete Guide (2026)
Custom software development in Turkey: cost ranges, delivery process, team models, and how to choose a product studio. Figtures guide — updated 2026.
SaaS MVP Development in Turkey — Guide
SaaS MVP in Turkey: multi-tenant architecture, pricing, launch checklist, and studio selection. Figtures 2026 guide.
Services in this guide
AI Development
AI Development
We handle model strategy, orchestration, guardrails, and product integration in one delivery lane.
AI Automation
AI Automation / Agents
We convert time-consuming workflows into controlled and observable automation systems.
Custom Software
Custom Software Development
We design, build, and harden systems that support your unique business operations.
Related Insights
AI
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AI Integration
ChatGPT Integration for Business Products: In-App AI Assistant Guide
ChatGPT integration is not a chatbot widget — steps to add a safe in-product AI assistant.