AI automation services

Stop retyping, re-routing, and chasing. We automate those steps.

Pick the process that eats your team's week: invoices, intake emails, support tickets, onboarding forms. We build the automation that reads the input, checks it, updates your systems and hands exceptions to a person. It runs inside the tools you already use.
CRM · new orderAuto-created
Customer
Northwind Foods✓
PO number
PO-2291✓
Quantity
40✓
Deliver by
2026-10-08✓
Ship to
UnclearReview
IllustrativeAn order email becomes a CRM record. The unclear field goes to a person instead of being guessed.
  1. Call30 min
  2. Pilot2–4 weeks, human review
  3. ScaleNext process

Why automation breaks

Most automation breaks on the messy cases: a scanned PDF, a missing field, a customer who replies off-thread.

Every service below ships with validation rules, a human exception queue and monitoring, so it keeps working on real volume.

Services

Pick the problem; here's the service that fixes it

Each service ships with validation, an exception queue for a person, and monitoring after launch.
  1. Read & extractEmails, PDFs, formsDocument and data processing
  2. DecideJudgment within your rulesAI agent development
  3. RouteValidate, assign, notifyWorkflow automation
  4. WriteCRM, ERP, inboxSystem integrations
Select a stage to jump to the service that covers it.

Document and data processing

Someone reads PDFs and emails and types the fields in. We extract the fields with OCR, validate them against your rules, and write them to your system.

Before
A person types the fields
After
Extracted and validated

Removes manual data entry and its errors

Workflow automation

Requests sit in inboxes waiting for the next person. We trigger each step automatically: validate, route, create the record, notify.

Before
Waits for the next person
After
Each step triggers itself

Moves work from request to done without manual handoffs

System integrations

Your CRM, ERP and inbox don't share data. We connect them directly, so nobody copies between tabs.

Before
Copied between tabs
After
Systems share data directly

AI inside the tools you already run

AI agent development

Some steps need a judgment call (is this claim complete? which team owns this ticket?). We build an agent that makes the call within your rules and escalates the rest.

Before
A person makes every routine call
After
Agent decides, escalates the rest

Handles repetitive judgment work end to end

Multi-agent systems

One process spans research, drafting, checking and filing. We split it across coordinated agents so the whole job runs, not one step.

Before
People pass the job along
After
Coordinated agents run the job

Automates a whole process, not a single step

Managed operation

Automations drift as inputs change. We monitor accuracy, handle exceptions and tune monthly.

Before
Accuracy drifts unnoticed
After
Monitored and tuned monthly

Reliability that holds months after go-live

How it stays accurate

Every miss makes the automation better

Anything the AI isn't sure about goes to a person. The fix is logged, and once a month we tune the rules and prompts so the same miss doesn't come back.
  1. Automate
  2. Exception queue
  3. Human fix
  4. Logged
  5. Monthly tuning
  6. Back to 1: the fix improves the automation.

FAQ

AI automation services questions

What are AI automation services?

They remove manual steps from a business process: reading emails and documents, checking the data, routing the request and updating your systems. ATI Lab builds them into the tools you already use, monitors them after launch, and measures them on hours saved, error rate and cost.

Which service should we start with?

Start where a single, high-volume process is slow or error-prone. Most teams begin with document and data processing or a request-to-done workflow, run a pilot with human review, then expand to the next process once the gains hold.

Do these services work with our current software?

Yes. Most of our work integrates with the CRMs, ERPs, email, and internal systems you already use. We connect systems and automate the handoffs between them rather than replacing your stack.

How is this priced?

Price depends on three things: how many workflows, how many systems we connect, and how messy the inputs are. We scope a fixed pilot after the first call. The ROI calculator gives you the savings side before you talk to us.

What happens to documents the AI can't read?

They go to a human review queue with the fields pre-filled where possible; we track the rate and reduce it in monthly tuning.

How do you make sure automation stays accurate?

Every service ships with validation rules and a pilot where a person reviews outputs, then monitoring and an exception queue in production. We scale only after quality holds over several weeks.

Next step

Tell us where work is stuck

Name the process. We'll tell you which of these services fits, what the pilot covers, and the number we'll measure it against: hours, error rate or cycle time.