Capability, not catalogue.
Most shops sell you a tier and fit your problem into it. We work the other way: we bring a capability to your problem and shape the build around it. The five capabilities below are the surfaces we engineer across — most engagements live in one, some span several. None of them is a fixed product; each is what our senior engineers can stand up, ground in your data, and ship to production.
Five things we engineer.
Production AI grounded in your data, your voice, and your rules — observable, evaluated, and accountable. The kind you can see working, not a chatbot stapled on at the end.
- RAG systems over your real corpus, with grounded, cited answers
- Agents that take actions inside your workflows, with guardrails
- Evals, observability, and audit trails wired in from day one
- Model selection matched to the task — never the heaviest by default
Software your customers and your team actually use — multi-tenant platforms, portals, and SaaS backends, architected to scale instead of regretted later.
- Multi-tenant architecture with auth and subscription billing
- B2B portals, internal tools, and operations systems
- Clean APIs and integrations into your existing stack
- Source and infrastructure delivered to you — no lock-in
AI-native websites and apps where the model lives in the data flow and the user's mental model — turn the AI off and the product changes shape, not just loses a widget.
- Bespoke sites and apps, designed and written from scratch
- Custom agents grounded in your business — intake, concierge, expert
- Visitor-adaptive content, smart intake, structured lead routing
- SSL · CSP · WCAG AA · Lighthouse 95+ as a baseline, not an upsell
A working version of the idea you can click through — because most ideas don't survive contact with a running version of themselves. The good ones do.
- Front-end built, AI wired up, real workflow demonstrable
- A live demo of your actual use case — not a slide deck
- Architecture direction and a clear path to the full build
- The prototype is yours, whether or not you go further
Getting it into production and into the systems you already run. Consulting here is a capability in service of a build — a roadmap that ends in working software, not a binder.
- Roadmaps, sitemaps, and AI feature plans that lead to a build
- Architecture review and integration with your CRM / ERP / ops stack
- Deploy pipelines, monitoring, and hypercare through go-live
- Handover of codebase, infrastructure, prompts, and evals
AI inside the systems you already run — not a new product you're shipping, but intelligence wired into your CRM, ERP, and operations stack. Same engineering bar. Different surface.
- Workflow assessment and AI mapping — where automation creates measurable value
- Custom agent architecture built around your stack, your data, your ops reality
- Multi-agent pipelines coordinating across your enterprise
- Production deployment with monitoring and iteration accountability
True for everything we engineer.
See a capability working.
We'd rather show than tell. The AI in Production page runs a live retrieval-augmented agent in your browser — ask it a question and watch it ground an answer against a real corpus. That is one capability, demonstrated.
AI in Production · Touch the proof
A live, reactive RAG demo answering from a real corpus — the AI services capability, running in the browser right now.
AI Agents · For when AI lives in your existing systems
When AI needs to live inside the systems you already have — your CRM, your ERP, your operations stack — same engineering bar, different surface.
Common questions.
How is this different from picking a package?
A package fits your problem into a fixed shape. We bring a capability to your problem and shape the build around it. Most engagements start in one of the five capabilities above and grow into others as the work calls for it — there's no tier to outgrow.
What does "AI-native" actually mean?
Simple test: pull the AI out and the product breaks. Pull AI out of a typical build and you just lose the chat widget in the corner. Every surface we engineer — from a RAG service to a customer portal — has to pass that test. The model is in the data flow and the user's mental model, not bolted on at the end.
Who runs and maintains it after launch?
We do. RautingTech stands up the infrastructure, monitors it, ships fixes and improvements, and stays accountable for uptime and quality. You get a working system and a partner who keeps it healthy — not a codebase you now have to staff for. The relationship is how we keep clients: we earn the next engagement with the last one.
Where does consulting fit?
As a capability, not a booking flow. When you need a roadmap, architecture, or an AI feature plan before you build, that's Implementation in service of a build — it ends in working software you can ship, not a strategy binder that sits on a shelf.
Can you implement into the systems we already run?
Yes — that's the Implementation capability. We integrate with your existing CRM, ERP, and operations stack, wire up deploy pipelines and monitoring, and run hypercare through go-live before handing over the keys.
Tell us what you're trying to build.
One sentence about the business, one about what's missing, one about where you'd like to be in 90 days. We'll come back with which capability fits and a rough scope inside 48 hours.
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