AI Automation Services

AI Systems & Automation
agentic AI that does real work —
engineered to be reliable.

ALT designs and deploys AI systems for engineering firms and small businesses — practical AI help for teams that need custom AI agents and edge AI systems across engineering workflows, business process automation, and Physical AI applications. We build with the same rigor we apply to hardware. Not chatbots. Not RPA relabeled. Genuine agentic AI that operates autonomously across complex, multi-step processes.

Edge + Cloud

Both on-device edge deployment and cloud-connected agentic pipelines.

Private

Local & private LLM deployment — your IP and data stay in your infrastructure.

QA-first

Every agent validated against real-world cases before going live.

US-built

100% U.S.-based engineering team, Santa Barbara CA.

Our approach

Anyone can wire a chatbot to an API. Making an AI system that's accurate, autonomous, and safe enough to trust with real processes is a different problem — and the one ALT focuses on. We started by automating our own engineering workflows, and now we deliver the same disciplined AI consulting for small businesses and enterprise engineering teams — AI automation for engineering firms that operates on real systems, not demos.

Start free. Upgrade when you want depth.

AI Automation Audit

ALT's AI automation audit for your business identifies exactly which workflows to automate, in what order, and what it's worth — whether you build with us or not. An AI automation audit for a business covers workflow mapping, opportunity scoring, and a prioritized implementation roadmap.

Free AI Self-Assessment

Free
No call required
  • 10-question assessment
  • Instant scorecard of your biggest bottlenecks
  • Workflows most likely to pay off with AI
  • Email deliverable — yours to keep
  • Upgrade to the full audit anytime
Take the Free AI Self-Assessment
Most Popular

AI Automation Audit

$499
Flat fee — credited toward your build
  • 60-min working session with an ALT engineer
  • Workflow map of your most repetitive processes
  • Opportunity scoring (time, payback, feasibility)
  • Prioritized implementation roadmap
  • Written report in 10 business days
  • 100% credited toward a build within 90 days
Buy the Audit — $499
Risk-free: The full $499 is credited toward any ALT build engagement within 90 days.  ·  ITAR/CMMC-ready: Air-gapped delivery available for defense and sensitive IP environments.  · 
Free · No call required · Reviewed by an engineer

Free AI Automation Self-Assessment

Our free AI automation self-assessment helps identify where AI systems could save your team the most time. Tell us where your team's time really goes, and we'll run your answers through our own automation agents, have an ALT AI engineer review the results, and email you back a practical read — whether you build with us or not.

Answer as much as you can. If a detail doesn't apply to your team, just pick "N/A / not sure" and skip on.

What we build

AI systems and automation services.

01

AI automation for engineering firms

ALT's deepest expertise — AI systems for engineering firms that run on repetitive, judgment-heavy workflows generic tools fail at.

  • CAD & design workflow agents — drawing checks, tolerance flagging, BOM generation
  • Reverse engineering support — scan data into structured CAD workflows
  • Automated change orders, test reports, and AI-generated compliance documentation
  • QC & inspection data parsing — out-of-tolerance flagging, trend analysis
  • Supplier & procurement automation — RFQ drafting, lead-time tracking
  • AM process optimization — slicer recommendations, print quality analysis
02

AI business process automation consulting

The same discipline applied to any high-volume, repeatable, judgment-based business function — AI business process automation consulting that starts with an audit and ends with agents running in production.

  • Customer support & ticket triage — categorize, route, resolve, escalate
  • Sales & lead qualification — research, score, draft outreach, keep CRM current
  • Back-office & finance — invoice reconciliation, expense processing, reporting
  • Internal knowledge agents — connected to your docs, tools, transcripts
  • Custom agentic pipelines — multi-step workflows designed end-to-end
03

Edge AI systems & on-device ML deployment

ML models and agentic perception deployed directly on embedded hardware. These edge AI systems avoid cloud dependency, reduce latency, and keep working through connectivity failure modes.

  • On-device inference — models optimized for embedded MCUs and edge AI chips
  • Computer vision pipelines — detection, pose estimation, scene understanding
  • Agentic perception for robotics — sensor fusion, state estimation, control
  • Model quantization & compression for resource-constrained hardware
04

Private & local LLM deployment

Locally-hosted or private-instance LLMs so your data never leaves your infrastructure.

  • On-premises LLM deployment — your hardware or private cloud
  • Air-gapped deployment for classified or export-controlled environments
  • Private RAG over your internal document corpus
  • AI model selection, fine-tuning, evaluation, and ongoing management
Physical AI advantage

AI that runs in the physical world.

ALT is one of the only AI automation companies that also engineers the physical hardware the AI runs on.

01

Hardware + software, one team

The same engineers who design your robotic structure or prosthetic also deploy the AI perception and control stack. No integration risk between AI vendor and hardware vendor.

02

Agentic perception for autonomous systems

Full agentic perception loops — sense, interpret, plan, act — so a drone navigates, a prosthetic adapts, a robot handles novel situations without human override.

03

Sensor fusion at the edge

Multi-modal sensor fusion (vision, IMU, tactile, environmental) running on embedded hardware without a cloud connection.

Engineering discipline

Making AI systems actually reliable.

Hallucination control

Agents grounded in your actual data via RAG, structured outputs, and guardrails that reject low-confidence responses.

QA & validation before deployment

Every agent tested against real-world cases — including adversarial inputs — before going live.

Cost-optimized AI model selection

We match AI models to the task based on accuracy, privacy, latency, deployment environment, and cost — not maximum size by default.

RAG over your internal data

Answers grounded in your documents, CAD libraries, and operational data — not general web training.

Production monitoring & drift detection

Deployed agents monitored and updated as models and data evolve — launch isn't the finish line.

Human-in-the-loop architecture

Clear escalation paths — each AI system knows when to act autonomously and when to hand off.

Our process

From audit to production AI system.

Automation audit

Map how your team actually works and identify the workflows with the fastest payback and best AI readiness.

Design & architecture

Define agent ownership, map the workflow, agree success criteria, select models, design integration.

Build, integrate & test

Build the AI system in code, integrate it with your stack, and validate it against real cases including hallucination and edge-case testing.

Deploy, monitor & iterate

Staged rollout, then ongoing monitoring, drift detection, and model updates.

Proof, not promises

Powered by ALT agents. We don't just sell AI automation — we run on it.

150+ custom AI agents operate our own sales, proposals, marketing, analytics, and finance workflows — built with the same engineering discipline we deliver to clients. If an agent can't run a workflow reliably, we fix the agent, not the process.

Proposal pipeline

Agents that research opportunities, draft contract proposals, and check compliance before submission.

Website intelligence

Agents that analyze our GA4 funnels, surface conversion leaks, and produce weekly performance briefs.

Marketing operations

Agents that create AI-generated content, track competitors, monitor markets, and run lead-qualification workflows weekly.

Finance & operations

Agents that forecast cash flow, track project deliverables, flag risk, and keep the pipeline visible.

That's the standard your business gets. We started by automating our own engineering workflows before automating anyone else's — every agent we sell has survived our own QA-first process.

Why ALT for AI automation

Built by engineers. Proven on ourselves.

Built by AI engineers, for engineering workflows first

Our AI practice grew out of automating our own engineering processes — CAD workflows, manufacturing quality control, supplier management, and AI-generated documentation.

Edge AI and Physical AI no software-only vendor has

AI on embedded hardware in robots, prosthetics, and drones — not just in the cloud.

Rigorous QA — not just a good demo

Agents tested against adversarial cases and real-world variation before touching your production workflow.

Private LLM deployment for sensitive data

Engineering IP, medical data, or classified environments — your data and models stay in your infrastructure.

One team from hardware to software

CAD, prototyping, additive manufacturing, embedded electronics, edge AI systems, and agentic software — one point of contact.

Common questions

What engineering teams and business leaders ask.

What is an AI agent and how is it different from a chatbot?
A chatbot responds to a prompt. An AI agent takes a goal and autonomously decides what steps to take, uses tools to act on systems, and completes multi-step workflows without a human triggering every action.
What is the difference between agentic AI and robotic process automation (RPA)?
RPA follows fixed, rule-based scripts — it breaks when anything changes. Agentic AI reasons about what to do next, handles variation, and generalizes to situations the designer didn't anticipate.
What is edge AI and why does it matter for Physical AI?
Edge AI runs ML models directly on the device — a robot, drone, or prosthetic — rather than sending data to a cloud server. Real-world environments demand millisecond response times cloud latency can't support.
Can ALT deploy AI systems using our internal data without it leaving our infrastructure?
Yes. For sensitive data — engineering IP, proprietary designs, medical records, or classified information — ALT offers fully private AI system and LLM deployment on your own infrastructure, including private RAG over your internal document corpus.
How do you prevent AI agents from producing hallucinations or wrong outputs?
Hallucination control is an engineering problem. We ground agents in your data via RAG, enforce structured outputs, build confidence thresholds that trigger human review, and test every agent against adversarial cases before deployment.
What's in the free AI Automation Self-Assessment?
Ten questions about where your team's time and bottlenecks are, how repeatable your workflows are, and how sensitive your data is. Submit your name and email and we'll run your answers through our own automation agents, have an engineer review them, and email you back a practical read on where AI automation would help most. No call, no commitment.
What does the $499 AI Automation Audit include?
A 60-minute working session with an ALT automation engineer, a workflow map of your highest-volume processes, opportunity scoring (time saved, payback, feasibility), a prioritized implementation roadmap, and a written report within 10 business days. The full $499 is credited toward any build engagement within 90 days — the audit is risk-free.
What if the audit says "don't automate anything"?
That's a valid outcome — you'll know exactly where your time is going instead of guessing. In practice every audit we've done has identified at least 3 high-confidence automation opportunities.
How does AI business process automation consulting work?
ALT's AI business process automation consulting starts with an audit: we map the workflows where your team spends the most hours, score each one for time saved, payback, and AI feasibility, and then design and build agents for the highest-priority processes first. Each agent is integrated with your existing stack, validated against real cases, and monitored in production.
What does an AI automation audit for a business include?
An AI automation audit for a business includes a 60-minute working session with an ALT engineer, a workflow map of your highest-volume processes, opportunity scoring across candidate workflows, a prioritized implementation roadmap, and a written report within 10 business days. The $499 audit is fully credited toward a build within 90 days, making it effectively risk-free.
How much does AI automation for small businesses cost?
AI automation for small businesses typically starts with the $499 audit — which includes a workflow map and prioritized roadmap and is credited toward a build. Implementation engagements are scoped per workflow and priced by complexity, so a small business can start with a single high-value agent and expand from there. Contact ALT for a fixed quote after the audit.

Ready to build AI systems that actually work in production?

Start with the free AI automation assessment, or go straight to the $499 audit — 100% credited toward your AI system build within 90 days.