Development & Integration

AI Integration

Practical AI wired into the work you already do. LLMs, RAG over your own knowledge, agents that do useful things in real systems, and document AI that actually ships, not a demo.

AI that earns its keep

Every software category is getting an "AI" version of itself right now. Most of it is decorative. Chatbots that replace a search box with something that takes longer to find the same answer. "AI features" that call a language model to reformat text a rule could have handled. Dashboards that summarize reports nobody was reading in the first place.

We build the other kind. AI wired into existing workflows, with the integration plumbing, evals, and guardrails to actually run in production. LLM features that replace real work or make real work faster, not ones that look impressive in a pitch deck.

What we build

LLM integration

Adding language-model features to existing apps and workflows. The prompt engineering, routing, caching, fallback, and cost controls that separate a toy from a production feature.

RAG over your own knowledge

Retrieval-augmented generation that grounds answers in your docs, tickets, code, or runbooks. Chunking, indexing, reranking, and the evals to know whether the answer is actually right.

Agents that do useful work

Agent workflows scoped to real tasks: triage, routing, summarization across tools, structured extraction. Bounded, observable, with a human in the loop where it counts.

Document AI

Contract review, intake forms, compliance docs, claims, and the ocean of PDFs somebody currently reads by hand. Extraction, classification, and summarization that slot into your existing process.

Chatbots that are actually useful

Conversational interfaces for real workflows: internal support, customer self-service, or expert-assistant tools. Scoped to a domain, grounded in your data, with escalation paths.

AI-augmented automation

Pairing LLMs with the integration and automation layer so routine decisions get made faster and the hard ones get routed to a human with the right context.

How we work

Model-agnostic

The landscape changes weekly. We design systems that can swap models, mix providers, or drop to a local model when the math calls for it. No betting the integration on one vendor's pricing decision.

Integration-first

AI that sits in isolation is a demo. We wire it into the systems the work actually happens in: ticketing, CRMs, email, spreadsheets, whatever runs the real workflow today.

Evals, not vibes

"It works on the five prompts I tried" is not a system. We build evals that measure accuracy, latency, and cost on the real inputs, so you know what is shipping and what is drifting.

What we don't do

AI Integration is the layer above the model. It is not the model, the training data, or the GPU cluster. We do not train foundation models. We do not do ground-up ML infrastructure buildouts. We do not do "AI architecture consulting" engagements where the deliverable is a 40-slide PowerPoint with no code attached.

If you came here looking for one of those, that is a different shop, and honestly a different kind of engagement. What we do is take the models the rest of the industry has already built and make them useful in your business. That is the piece most companies need and most shops gloss over.

When AI is not the answer

Language models are powerful, expensive per call, non-deterministic, and sometimes confidently wrong. That is a bad fit for plenty of problems. If a regex, a lookup table, or a well-structured form could do the job, we tell you so. If the workflow changes once a quarter and nobody has time to maintain the evals, AI is probably the wrong bet. If the data the model would rely on is already wrong, fix that first.

The goal is not more AI. The goal is the business working better. AI is one of the tools we reach for.

A note on practice maturity

AI integration is a growing part of what we do, not a two-decade legacy practice. We are honest about that. Some of our work is public; some of it is still internal or pre-release. Rather than pretend otherwise with fabricated case studies, we will happily walk you through the engagements we have in flight, the patterns we use, and what a real build looks like, on your free hour call.

Ready to scope an AI integration?

Start with your free hour. We'll look at where AI would actually move the needle in your business, where it wouldn't, and what a real build would touch. No pitch, no AI-washed strategy deck, just a clear read.

Book your free hour