AI ThatPays for Itself
AI that earns its keep: grounded assistants, document-heavy automation, and workflow intelligence — built with the discipline of engineers who ship production systems.
Running in production right now
You just met one. The chat assistant on this site — the one that greets you, asks scoping questions, and gives ballpark estimates — was designed, built, and is operated in-house by KTS. It's the exact class of system this page is about, running in production, on every page of this website.
Built for Teams Like Yours
If any of these sound familiar, this is exactly the kind of work we do every week.
Teams spending hours on document processing, classification, or drafting that language models can genuinely handle
Businesses that want a customer-facing assistant that actually knows their product — without hallucinating answers
Leaders who have been promised AI magic and want an honest engineering assessment of where it really fits
Everything, End to End
One accountable team from first workshop to production handover.
Grounded assistants
Chat and voice assistants that answer from your real documentation — with citations, guardrails, and escalation to a human instead of confident nonsense.
Document workflows
Extraction, classification, and routing for document-heavy operations: intake, triage, and drafting handled automatically with review where it matters.
Process automation
LLM-powered steps embedded into real workflows — with monitoring, cost controls, and fallbacks — so automation degrades gracefully instead of failing loudly.
Honest feasibility assessment
Sometimes the right answer is 'AI will not help here.' Our assessment tells you which parts of your process are real AI opportunities and which are not — before you spend build budget.
Private & on-premise deployments
Self-hosted models (Ollama, vLLM) running inside your infrastructure — data never leaves your network, with air-gapped options for regulated industries. The same stack powering this site's own assistant.
A Process You Can Follow
Working software at every stage — no black boxes, no big reveals.
Ground every answer
Retrieval from your actual content, not the model's general knowledge. If the system cannot find a grounded answer, it says so — that single discipline prevents most AI embarrassments.
Instrument from day one
Every AI feature ships with logging, cost tracking, and quality sampling. You see what it answers, what it costs, and where it struggles.
Humans in the loop where it counts
We design the escalation paths deliberately: the model handles the repetitive volume; your people handle judgment calls. That division is where the ROI actually comes from.
What Good Looks Like
We work under NDA with nearly every client, so we describe results as patterns — the shape of the outcome is what matters.
Support and intake teams shed the repetitive tier of questions and spend their time on the cases that need judgment
Document-heavy backlogs stop growing — classification and drafting happen automatically, review happens fast
Leaders get a straight answer about AI fit, with numbers, instead of a pitch deck
Straight Answers
The questions we hear most — answered the way we'd answer them on a call.
Unguarded, generic chatbots do — which is why we build grounded systems: answers retrieved from your own content, with the model explicitly refusing to answer what it cannot source. Escalation to a human is designed in, not bolted on.
From the Knowledge Hub
Get an Scope Estimate in Minutes
Tell our in-house AI assistant what you're building. It asks the scoping questions an engineer would, shows you what the number actually buys — scope, timeline, and what the low end omits — and if it's a fit, books the next step right there in chat.
(714) 696-9723Talk to an engineer, not a salesperson • Straight answers on fit and cost