AI Integration

Overview

We help you apply AI and automation where they create measurable value—not hype. That includes LLM-powered assistants, document extraction, classification, recommendation, and workflow automation wired into your existing systems with proper guardrails, logging, and cost controls.

We prioritize reliable pipelines: retrieval-augmented generation (RAG) over your data, human-in-the-loop review for high-stakes decisions, and fallbacks when models are uncertain.

Who this is for

• Support and operations teams drowning in repetitive tickets or document review

• Products that want natural-language search over proprietary knowledge bases

• Leaders exploring copilots without exposing sensitive data to public models

What we deliver

Use-case discovery

We map processes, data sources, and failure modes. You get a ranked list of pilots with expected ROI, privacy constraints, and success metrics—not a generic “AI strategy” deck.

Prototype & evaluate

Small proofs of concept with real samples of your data. We measure accuracy, latency, and cost per transaction before committing to production architecture.

Production integration

APIs, queues, vector stores, and admin tools to tune prompts and curated content. Authentication, rate limits, and audit trails align with your compliance needs.

Monitoring & improvement

Feedback loops, regression tests on golden datasets, and spend dashboards. Model upgrades are planned—not surprises.

Typical outcomes

• Shorter handling time on targeted workflows (with human oversight where required)

• Answers grounded in your documents, not the open internet

• Clear ownership of data flows and vendor choices (OpenAI, Azure, Anthropic, local models, etc.)

How we work

Every engagement starts with a short discovery call to understand goals, constraints, and success metrics. We then propose a clear scope, timeline, and team structure—whether you need a focused sprint or a longer partnership. You get regular demos, written updates, and direct access to the people doing the work.

Engagement options

• Fixed-scope project — Best when requirements are well defined; fixed milestones and deliverables.

• Dedicated squad — Designers and engineers embedded with your team for a quarter or longer.

• Advisory + build — Architecture or UX review followed by implementation.

Questions? Use the form on this page to tell us about your project—we typically respond within one business day.