In production across 3 continents

AI systems that automate the work
your team shouldn't be doing

We build and deploy four types of production AI: AI Chatbots for 24/7 customer support, Recommendation Engines that drive revenue, Voice AI for high-traffic environments, and Workflow Automation that eliminates manual processing — integrated into your existing stack.

Contact Us See What We Build
LLM & RAG AI Agents System Integration 24/7 Operation Multilingual
Measurable outcomes

Results that show up
on your bottom line

Numbers from real deployments — not projections.

Throughput
0×

Average output increase across automated workflows — same team, double the capacity.

Process time
−0%

Reduction in cycle time when AI handles routing, classification, and queue management.

Time to ROI
0d

First measurable return, typically from a single automated workflow.

Uptime
24/7

Autonomous operation — no sick days, no shift gaps, no manual handoffs.

Live systems running
What we build

Some prominent AI services

01 — Customer Interaction

AI Chatbot & Support Automation

Your customers get instant, accurate answers — day or night, across every channel. The chatbot handles up to 70% of inbound queries autonomously, escalating only what needs a human. Your support team stops answering the same questions and starts solving real problems.

  • Responds instantly across chat, WhatsApp, voice, and web widget
  • Handles FAQs, order tracking, returns, and ticket creation
  • Plugs into CRM, Zendesk, Freshdesk, and custom APIs
  • Understands and replies in 30+ languages out of the box
LangChain RAG WhisperAI OpenAI
02 — Revenue Growth

AI Recommendation Engine

Every visitor sees different products — ranked by what they're most likely to buy. The engine learns from clicks, purchases, and browsing patterns to improve continuously. For E-commerce, this doubled click-through rates across millions of product SKUs globally.

  • Personalized ranking for every user in real time (<100ms response)
  • Combines collaborative filtering and content-based signals
  • Built-in A/B testing so you can measure impact directly
  • Proven in ecommerce, social, and content platforms at scale
Python Redis Elasticsearch FastAPI
03 — Voice & Conversational AI

Voice AI for High-Volume Environments

A voice assistant that listens, understands, and responds — live, in any language. Built for environments where staff can't keep up with demand: airports, transit hubs, public services. It cut front-desk query volume by 60% for our APAC transportation client, with zero degradation in service quality.

  • Real-time speech recognition with under 500ms response latency
  • Pulls live data: flight status, gate changes, delays, wayfinding
  • Operates 24/7 at kiosks, mobile apps, and web portals
  • Handles 30+ languages with natural conversation flow
WhisperAI LLM WebSockets NestJS
04 — Internal Operations

AI Workflow Automation

Every email, ticket, or form submission is read, classified, and routed automatically — no human triage required. The AI extracts what matters, creates the task, assigns it to the right team, and flags exceptions. Processing time drops by 70% on day one.

  • Reads unstructured inputs and converts them to structured, assigned tasks
  • Integrates with CRM, Notion, Jira, N8N, and custom backends
  • Configurable approval gates and escalation rules
  • Full audit trail — every action logged and reportable
LLM Agents N8N Kafka PostgreSQL

Trusted Partners

GLAMIRA MEKTOUKE ASTEK GROUP TOYOTA
Our Principles

3 Golden Rules for
Businesses Using AI

AI Supports People

AI should speed up work, but important decisions still need human review.

Data Security First

Do not put sensitive data into AI systems without clear controls and protection.

Clear Business Goals

Use AI only when it saves time, reduces costs, or improves performance.

Our Process

Four steps from first call
to a live AI system

First Call
01

Audit & Prioritize

  • Map workflows & bottlenecks
  • Rank automation opportunities
  • ROI projection per use case
Ranked roadmap
02

Design the System

  • Define use cases & data flows
  • Scope integration points
  • Agree spec before code starts
Technical spec signed off
03

Build & Integrate

  • LLMs, RAG & APIs wired in
  • Zero-downtime deployment
  • Full documentation handover
Live in production
04

Measure & Scale

  • Track accuracy & cost savings
  • Retrain on real usage data
  • Expand to next use case
Continuous improvement
Live AI
Why Open Techiz

Why companies choose us
over off-the-shelf AI tools

Outcome-first, not model-first

We define the business goal — then work backwards to the right AI.

Live in weeks, not quarters

First system ships in 3–6 weeks. Results fund the next phase.

3–6 weeks

Your stack stays intact

AI layered on top of your CRM, ERP, and databases — nothing replaced.

Custom-built, not templated

Trained on your data and workflows — not a generic off-the-shelf model.

Engineered to run at scale

Serving millions in production across e-commerce, enterprise, and SaaS.

Production-grade
FAQ

Questions we get asked most

If you have repetitive processes, high-volume customer interaction, or data-heavy internal workflows — yes. The clearer the pattern, the faster AI delivers results. We'll tell you honestly if the timing or use case isn't right for AI yet — we'd rather do this properly than over-promise.
No. RAG-based systems work well with existing documentation, past support tickets, product catalogs, or process descriptions. We start with what you have and improve over time.
A focused first use case — chatbot, recommendation module, or workflow automation — typically deploys in 3–6 weeks depending on integration complexity.
Yes. We integrate with REST APIs, GraphQL, Salesforce, HubSpot, Zendesk, Notion, Jira, custom databases, and legacy systems. No migration needed — we layer AI on top of what you already have.
We use RAG (Retrieval-Augmented Generation) to anchor every response to your actual data — not guesswork. We also build explicit fallback and escalation flows so the AI hands off gracefully when it isn't confident. Every response is logged, and we retrain on real errors so accuracy improves over time rather than drifting.
We start with small, measurable use cases — reduced support hours, faster processing, lower error rates. Performance is instrumented from day one so savings are visible immediately. We don't move to the next phase until the first one proves out.
Get Started

Tell us your bottleneck.
We'll show you the AI fix.

Book a 30-minute discovery call. We'll identify the highest-impact AI use case for your operation and show you what a real deployment looks like — with numbers, not slides.

Book a Free Discovery Call Email us directly

No commitment  ·  Response within 24 hours  ·  First call is free