AI & Automation Services · Lincoln, Nebraska
AR statements, weekly reports, ticket triage, lead follow-ups — whatever's eating your week, we can build AI to handle it. Production AI, not demos.
Train it once. It runs forever.
Six places we keep finding the same wins. Each one with a real outcome from real client work — measured, not promised.
Engineer assistants, help-desk deflection, document Q&A, knowledge agents. Trained on your real runbooks and data — not the public internet.
Engineers 60% faster · without escalationMulti-step business flows — approvals, handoffs, routing — wired across the systems your team already uses, with audit trails and clear failure modes.
Steps removed: 7 of 9Power Automate flows, Dataverse models, and lightweight Canvas apps for the workflows that don't justify a custom build but need more than a spreadsheet.
Same governance · faster deliveryDocument automation, governed site templates, search that actually finds things, retention done right. The SharePoint people quietly hope they'd get.
Cleanup days, not monthsWe map what your team does every week, find the repeatable work, and rank the automations by cost-to-build vs hours-back. A real decision-grade analysis.
Audit → roadmap · 2 weeksNew-hire provisioning, account creation, license assignment, equipment kit, training enrollment — all triggered from HR. Offboarding closes the loop on the same day.
2 hours → under 10 minutesMost AI work in the SMB market is a demo someone built in a weekend, shown to leadership, and then quietly never deployed. We don't ship demos. We ship systems your team uses every day.
"Most AI projects fail in production, not in the demo. We design for the day after launch — the monitoring, the evals, the human-in-the-loop — before we write a prompt."
AOtech's AI work is led by a senior AI engineer who serves as the lead AI practitioner at a multi-billion-dollar enterprise — designing and deploying deep-learning systems and production AI across finance, operations, HR, support, sales, and security teams. The same person scopes your engagement personally, designs the custom AI infrastructure (RAG pipelines, vector stores, training and chunking strategies, evaluation harnesses, the whole stack), and stays on as the engineer your team actually talks to. Enterprise discipline, brought to SMB engagements without the enterprise consulting price tag.
We never start with "here's an AI bot." We start with "what does your team actually do every week?" — and then we rank the automations by hours-back-per-dollar.
Two-week paid audit. We watch how the work actually happens, list every repeatable task, and rank by cost-to-build vs hours saved.
For the top candidates: a fixed scope, success metrics, eval plan, and the model + tooling choices documented before any prompt is written.
Deployed under your tenant, your keys. Eval suite runs on every change. Human-in-the-loop checkpoints where the cost of being wrong matters.
Quality monitoring, drift detection, model upgrades when they're safe. We don't hand the AI back — we run it with you.
Trained on internal runbooks + live device data. Engineers resolve issues without escalation.
→ 60% faster resolution AI BotTier-1 ticket deflection with confident-fail fallback. Engineers stay in flow; users get answers.
→ Hours back per engineer per week AutomationNew-hire provisioning triggered from HR. Offboarding closes the loop same-day.
→ 2 hours → under 10 minutes AI + AutomationAlert noise classified and ranked. Engineers see only what genuinely needs human attention.
→ False-positive noise down 80%We start every AI engagement with an audit — map the real workflows, identify the highest-value automation targets, then build. No demos, no fluff. Tell us what's eating your team's week.
Fixed scope before any build starts · Production AI, not demos · Response within 1 business day