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AI automation servicesSan Francisco · Bay Area · Sacramento

AI automation
for teams that need production systems.

ArtJeck Technology builds AI agents, RAG assistants, workflow automation, and custom product systems for teams in San Francisco, the Bay Area, and Sacramento. The work is closer to boutique software engineering than template automation: fewer manual steps, clear source grounding, custom integrations, and QA checks before launch.

Capabilities

One automation stack, four kinds of leverage.

Every engagement draws on the same four capabilities: AI agents for repeated decisions, RAG assistants for internal knowledge, integrations that stop manual re-keying, and QA that keeps all of it trustworthy.

AI agents

Agents for intake, triage, research, routing, review, and follow-up with approval gates where the workflow needs accountability.

RAG assistants

Cited assistants over product docs, SOPs, policies, tickets, PDFs, spreadsheets, and internal knowledge sources.

Workflow integrations

Automation across forms, CRMs, spreadsheets, APIs, email, dashboards, and internal tools so data stops being copied by hand.

QA-tested production AI

Continuous evals, deterministic checks, regression cases, edge-case coverage, and launch gates before automation touches real work.

Positioning

Production AI engineering, not template automation.

The strongest niche for ArtJeck is custom AI automation where reliability, proprietary systems, data handling, and software quality matter.

01

Built past the demo

AI systems are tested against edge cases, source-grounding failures, hallucination risk, and regression cases before they are trusted with customer or staff workflows.

02

Custom systems, not template glue

The work can include non-standard APIs, internal databases, dashboards, web apps, iOS interfaces, and approval flows when off-the-shelf automation cannot cover the process.

03

Vertical workflow automation

Good targets include compliance parsing, appointment scheduling, document intake, reporting, logistics operations, client verification, and data-heavy review workflows.

04

Product discipline around AI

Exact calculations stay in deterministic code, language and judgment go through AI, and the surrounding product experience makes outputs reviewable and actionable.

Proof

Proof over promises.

Every claim on these pages traces back to shipped systems: real clients, real tests, real filings. Start with the IFTA case study to see how a production AI workflow is actually built and verified.

Current proof asset

IFTA Agent case study

  • Live AI-assisted filing workflow with deterministic tax math and an AI review agent.
  • 429 automated tests and a real-data backtest that matches a prior filing to the penny.
  • This proof supports the AI automation pages because it shows production engineering, eval discipline, and workflow automation.
Read the case study

Start with one workflow

Send the manual process you want to reduce.

Include the location, workflow, files or systems involved, and what a successful result would look like.

hello@artjeck.com