Who This Is For
- • SaaS teams adding AI assistants/copilots
- • Startups moving from PoC to production AI
- • Product teams needing cost-quality AI control
Global Product Engineering Service
We bring AI capabilities into real products with production quality.
We handle model strategy, orchestration, guardrails, and product integration in one delivery lane.
In-depth guide: How to Choose an AI Development Company in Turkey
LLM IntegrationAgent WorkflowsAI Product Engineering
Problems We Solve
- • PoC works but production consistency fails
- • Prompting, retrieval, and tool-calling are fragmented
- • AI features are disconnected from product UX
What We Build / Deliver
- • LLM features (chat, summarization, extraction)
- • Agent workflows and tool-integration layer
- • Evaluation, monitoring, and fallback setup
- • Product API and frontend integration
Typical Project Types
- • AI Assistants
- • Workflow Automation
- • AI Product Features
Timeline Expectations
Timeline depends on scope, team shape, and technical dependencies. We provide a clear sprint-based plan after discovery.
Engagement Models
- • Build AI features from scratch
- • AI delivery sprints for existing products
- • Embedded engineering partner model
Why Figtures
- • We align AI, product, and engineering in one cadence
- • We deliver maintainable production systems, not demos
- • We are remote/async-ready for global teams
Delivery Approach
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.
Best Fit
- • AI use cases tied to clear user value
- • Product teams that iterate and learn quickly
When We May Not Be the Right Fit
- • Projects adding AI only for optics
- • Rush delivery requests without quality standards
Insights Related to This Service
AI
Evaluation Debt: Why AI Features Quietly Degrade
Sustainable AI quality depends less on model swaps and more on evaluation architecture that detects silent drift early.
Frontend
Consistency Budgets in Streaming Interfaces
How we prevent streaming UIs from becoming cognitively fragmented by designing state boundaries and fallback hierarchy intentionally.
Other Services
Related AI Workflow Solutions
ChatGPT Integration Development
Instead of just adding a chatbot, we build ChatGPT workflows connected to real user value in your product.
Claude-Powered Automation Solutions
For documentation-heavy and process-heavy workflows, we use Claude to increase team decision and execution speed.
Cursor/Codex Engineering Workflow Setup
We combine Cursor/Codex usage with team standards, review discipline, and release safety.
Decision Guides for This Service
Authority Asset
How We Approach AI-Assisted Product Development
This playbook explains the decision framework we use to tie AI features to product value.
Authority Asset
ChatGPT vs Claude for Product Workflows: Selection Guide
This asset ties model-selection decisions to technical and product signals.
Authority Asset
How We Scope AI Integrations for Web and Mobile Products
This guide systematizes “what to build now vs later” decisions in AI integrations.
Frequently Asked Questions
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.
Let’s map a delivery plan for this service
We can align on your product goals, technical constraints, and first sprint scope to define a practical start plan.
Discuss Your Project