Replace Manual Work With Systems That Run Themselves
AI automation and LLM integration services by Johnbert Oñez, Davao City, Philippines. I build RAG pipelines, AI chatbots, and workflow automations that replace manual processes for SMEs and startups — delivered remotely for clients in the US, AU, and EU.
Your team is doing work a well-configured AI should handle.
Most small and mid-size businesses still rely on people for tasks like answering the same 40 support questions, sorting incoming leads, formatting reports, and copying data between systems. That work costs real money — and it compounds every week.
Off-the-shelf AI tools promise automation but land flat: they're too generic, they break on edge cases, and they require your team to babysit them. What you actually need is a system built around your data, your workflows, and your specific outcomes.
Purpose-built AI that fits your existing operations.
I design and build AI systems that integrate directly into how your business already runs — not bolt-on tools that require you to change your workflow. Based in Davao City, Philippines, I deliver remotely with async-first communication that works across US, AU, and EU timezones.
- 65% average reduction in tier-1 support load for chatbot clients
- 10,000+ documents processed daily by document intelligence systems
- 40% reduction in inbound call center load for voice AI deployments
- Workflow automations that save 15–25 hours per week of manual work
- All integrations connect to your existing stack — no platform lock-in
What I Build For You
AI Chatbot Development
Conversational AI trained on your documentation, products, or knowledge base. Handles support, qualifies leads, and answers questions at scale — without adding headcount.
AI Web Applications
Full-stack web apps with AI features built in — document analyzers, content generators, AI dashboards. Shipped as production-ready tools your team uses daily.
Workflow Automation
Automate repetitive multi-step workflows across your tools: CRM updates, email sequences, data sync, report generation, and approval routing — without hiring more staff.
AI Agents Development
Autonomous agents that plan and execute multi-step tasks: scraping, research, data processing, and decision-making pipelines that run on a schedule or trigger.
LLM API Integrations
Integrate OpenAI, Anthropic Claude, Google Gemini, or self-hosted models into your existing products. Streaming responses, function calling, context management — production-grade.
AI Strategy Consulting
Not sure where to start? A scoping session where we map your workflows, identify the highest-ROI automation opportunities, and build a sequenced implementation roadmap.
Transparent Pricing, No Retainer Required
One-time project fee
Single AI feature or automation workflow — proof of concept to production.
- Single AI integration (chatbot, analyzer, or automation)
- RAG or API integration on your existing data
- One channel or system integration
- Basic admin interface
- 2 weeks post-launch support
- Full source code ownership
One-time project fee
A complete AI system — multi-feature, integrated with your existing stack.
- Up to 3 AI features in one system
- Full stack: frontend, backend, database, AI layer
- CRM / helpdesk / Slack integrations
- Admin panel for content and configuration
- Conversation logs and analytics dashboard
- 30 days post-launch support with weekly check-ins
- Deployment on your preferred hosting
Scoped per project
Platform-level AI — multi-tenant, high-volume, or integrated into a complex product.
- Unlimited feature scope
- Multi-tenant architecture if applicable
- High-volume async processing pipelines
- Custom model fine-tuning option
- Full CI/CD pipeline setup
- On-premises or VPC deployment available
- Retainer option for ongoing development
From Discovery to Deployed System
Requirements Discovery
A structured session to understand your workflows, pain points, and what a successful AI system looks like in production. Async or live — your choice.
Architecture Design
I map the AI components, data flows, integrations, and infrastructure before writing a line of code. You review and approve before development starts.
Iterative Build
Development in 1-week cycles with working demos at each milestone. You see progress every week, not at the end.
Testing & Validation
The AI layer is stress-tested on real data and edge cases. Outputs are validated against expected results before launch.
Deploy & Handoff
Production deployment with logging and alerting in place. Full documentation and source code delivered — you own everything.
What Makes These Systems Actually Stick
Built on Your Data
Every system uses RAG, fine-tuning, or structured prompting to ground the AI in your specific content — not generic internet knowledge. Accuracy is designed in, not hoped for.
Production-Grade Architecture
These aren't Jupyter notebooks or weekend side projects. Every system ships with proper error handling, logging, monitoring, and deployment to your cloud of choice.
Multi-Model Flexibility
I build with OpenAI, Anthropic, Google Gemini, Mistral, and self-hosted models. You're not locked into one vendor — if a better model ships next quarter, switching is a configuration change.
Integrates With Your Stack
New AI systems connect to what you already use: HubSpot, Salesforce, Slack, Notion, Airtable, PostgreSQL, Shopify, WooCommerce. No ripping out your existing tools.
Async-First Delivery
Based in Davao City, Philippines (UTC+8). All projects run async-first with Loom demos, written updates, and GitHub PRs. Clients in the US, UK, and AU get the same communication quality regardless of timezone.
Documented and Maintainable
Every project ships with architecture docs, API references, and a README your team can use to maintain and extend the system without coming back to me.
AI Systems Delivered, Measured Results
"Johnbert built a support chatbot that now handles 68% of our tier-1 tickets without any agent involvement. We were spending 40 hours a week on repetitive questions — that's mostly gone now. The handoff to our human team when escalation is needed is seamless."
"I came in wanting some AI stuff and left with a proper scoping session that told me exactly what to build and in what order. The workflow automation he delivered reduced our order-processing errors by 91% and cut fulfillment prep time from 3 hours to 20 minutes."
"We needed an AI layer on top of our existing product — not a rebuild. JB integrated a document analysis feature and a content generation tool in 4 weeks. Clean code, sensible architecture, and he flagged two security issues in our existing stack we hadn't noticed."
AI Development Questions, Answered
Johnbert Oñez
AI Solutions Engineer & Full Stack Developer · 6+ yrs · 50+ projects
Based in Davao City, Philippines. Specialises in production AI systems, full-stack web applications, and WordPress. Remote-first, async-friendly, fixed-fee projects.
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AI systems, SaaS platforms, WordPress solutions — whatever the scope, I bring craftsmanship and precision from day one.