AI Integration
AI software development that ships —
not another demo.
Senior-led AI integration for startups and regulated industries. We build RAG pipelines, compliance automation, real-time translation, and AI agents into real products — grounded in your data, monitored in production, and audited where it matters. 12+ years of shipping production code, three production AI deployments and counting.
What we build
Where AI earns its place.
Six patterns we ship repeatedly — each one validated in production, not just in a notebook.
RAG pipelines
Retrieval-Augmented Generation that grounds LLM output in your real product data — docs, catalogs, knowledge bases, code. Not hallucinated answers; cited, verifiable ones, with pgvector / Cloudflare Vectorize indexing tuned for latency.
Compliance automation
AI screening against sanctions / PEP / AML datasets — 1.7M+ records — that turns a 4-hour manual review into 45 seconds of compute. Built for regulated fintech: auditable, deterministic where it matters, LLM-flexible where it helps.
Real-time translation
On-demand LLM translation inside chat and product surfaces, routed across providers (Claude, GPT, Groq) by query complexity. Sub-500ms p95 latency for live UX, not batch jobs that run overnight.
AI agents & workflows
Agents that replace multi-step human workflows — triage, extraction, classification, follow-up. The boring, repeatable 80% automated so your team handles the judgment-call 20%. Production-monitored, not demo-ware.
LLM integration into existing products
Adding intelligence to a codebase you already run — React/Next.js, React Native, Supabase, AWS — without a rewrite. API layer, prompt management, evals, cost controls, and fallbacks wired into your existing stack.
Vector search & semantic retrieval
Beyond keyword search: embeddings that match intent, not just strings. Useful for support deflection, in-app discovery, internal knowledge tools, and as the retrieval backbone under RAG.
Proof — shipped AI
Production, not prototypes.
Real deployments with real users, latency budgets, and audit trails.
SimplySmartChat
AI-powered WooCommerce sales assistant. RAG pipeline meets real product knowledge.
An AI chatbot that actually knows the product catalog. Built for a WooCommerce store — the bot ingests product descriptions, pricing,…
Read case study →Thea Tech Internal Automation
n8n workflows, AI agents, and infrastructure automation. The backbone behind the business.
The internal systems that keep Thea Tech running efficiently. n8n queue-mode deployment on a Contabo VPS handling workflow automation —…
Read case study →HubSecure
Multi-tenant FinTech compliance platform. KYC, AML, blockchain, AI agents — 12+ repos.
HubSecure is a multi-tenant FinTech compliance platform for KYC/AML verification, built for BCV Group. The system handles identity…
Read case study →How it works
From audit to production in weeks.
Audit where AI actually earns its place
Most products don't need AI everywhere — they need it in 1–2 high-leverage spots. We map your workflows, flag the AI-amenable 20%, and explicitly call out where AI would hurt. Free 30-min call, no deck.
Ship a thin production slice in weeks
Not a 3-month POC. A real, monitored feature behind a feature flag — RAG over one dataset, one automated workflow, one translation surface — deployed to your actual users with evals and cost ceilings.
Harden, expand, hand off (or stay on)
Once the slice earns its place: harden the prompts, build the eval harness, add observability, then either hand off to your team with docs or keep iterating as a retained partner. Senior-only throughout.
Stack
Models and tools we reach for.
Provider-agnostic by design — we route per-query so you're never locked to one vendor.
- Claude (Anthropic)
- OpenAI GPT-4o / o-series
- OpenRouter (multi-model routing)
- Groq (low-latency inference)
- Supabase pgvector
- Cloudflare Workers AI
- LangChain / LlamaIndex (where they earn it)
- n8n (workflow orchestration)
Client words
What teams say after shipping.
"He integrated AI-driven AML screening into our compliance pipeline across 1.7 million sanctions records. It actually works in production, not just a demo."
"Riz understood the compliance constraints from day one. In regulated fintech, that kind of reliability is rare in an external partner."
"We needed senior-level execution without the ramp-up time. Riz shipped production features faster than most full-time hires I've seen."
FAQ
Questions, answered.
What does AI integration cost?
Engagements start at €2,000/month, retained. There's no hourly billing and no surprise invoices — you get consistent senior bandwidth. Most teams ship a thin production slice in the first 4–6 weeks; cost depends on scope, model usage, and how much of your existing stack is in place.
How is this different from wrapping the OpenAI API?
A wrapper calls a model and shows the output. Production AI integration handles the parts that actually matter at scale: retrieval (RAG) so answers are grounded in your data, prompt management and versioning, evals so you can detect regressions, cost controls and model fallbacks, observability, and the security/compliance review regulated industries need.
Can you add AI to an existing codebase without a rewrite?
Yes — that's the most common engagement. We add an AI layer alongside your existing React/Next.js, React Native, Supabase, or AWS stack: an API service, a retrieval index, and a UI surface behind a feature flag. Your team keeps shipping while the AI slice is built and measured in parallel.
Which models do you use?
Whichever fits the job. Claude for reasoning and long-context work, GPT-4o for general tasks, Groq-hosted models for sub-second latency, and open models via Ollama where data residency or cost demands it. We route per-query through OpenRouter so you're never locked to one provider.
Do you work with regulated industries (fintech, health)?
Yes — compliance automation is one of our core areas. The HubSecure engagement screened against 1.7M+ sanctions records under real fintech constraints: deterministic matching where auditors require it, LLM flexibility where it helps, full audit trails. We're not a substitute for your compliance team, but we speak the language.
Get started
Not sure where AI fits your product?
Free 30-minute Technical AI Audit. We'll look at your product together and tell you exactly where AI would (and wouldn't) add value. No pitch deck, no obligation.
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