Workflow
AI Email Automation
A shared inbox is where most operations work actually arrives: orders, invoices, service requests, questions, complaints, and documents, all mixed together, all waiting for someone to read them and decide what to do. AI email automation reads each message on arrival, classifies it, pulls out the details that matter, handles the routine ones by rule, and routes the rest to the right person with the work already half done. Nothing is sent to a customer unread. This is a specific workflow inside our workflow automation service.
Examples, not client case studies
What this can look like
These are illustrative examples, not promises of results. Every project starts with your own workflow.
AI Email Automation
Before
An operations inbox gets a few hundred emails a day. Two people take turns reading everything, forwarding orders to order entry, invoices to accounts payable, service requests to dispatch, and answering the same status questions by hand. Urgent messages wait behind newsletters.
After
Every email is classified within seconds: order, invoice, service request, status question, complaint, vendor document, or noise. Orders and invoices create records in the right system with the attachment linked. Status questions get a drafted reply for a person to approve. Complaints and anything low-confidence go to the top of a person's queue with the suggested category and extracted details shown.
Vendor document intake
Before
Vendors email W-9s, certificates of insurance, and updated banking details to whoever they last spoke to. The documents sit in personal inboxes, get forwarded late, and expiry dates are tracked in a spreadsheet when someone remembers.
After
Vendor documents are recognized on arrival, matched to the vendor record, and filed with the key dates extracted. Expiring coverage is flagged ahead of time. Banking-detail changes are never applied automatically; they are routed to a person with a verification checklist, because that is a fraud vector.
Approach
How it works
- 01
Connect the inbox
Read access to the shared mailbox or mailboxes, scoped to the folders in play. Nothing is deleted or moved until you approve the rules.
- 02
Classify and extract
AI assigns a category and pulls out the fields that matter for that category, each with a confidence score, using your real historical emails to set the categories.
- 03
Act by rule
Each category has a written rule: create a record, draft a reply for approval, file the attachment, or route to a named queue. High-value actions always wait for a person.
- 04
Review and tune
A person works the exception queue. Their corrections feed back into the categories and thresholds, so the routine share grows over the first weeks.
What we need from you
- A sample of real emails from the inbox, several weeks' worth, including the awkward ones
- The categories your team uses in their heads today, and what they do for each one
- Which replies may go out automatically, which need approval, and which must always be human-written
- A named owner for the exception queue during rollout
Rules vs AI
What the model decides, what the rules decide, and what a person decides
AI: classification and extraction
What kind of email this is, and the order number, invoice total, address, dates, or account it refers to. Every result carries a confidence score; below threshold it goes to a person.
AI: drafting for approval
Replies to routine questions are drafted from your own templates and the extracted details. A person reads, edits if needed, and sends. Sending unread is off by default and stays off unless you decide otherwise for a narrow category.
Rules: routing and actions
Which queue, which system, which record gets created, which attachment gets filed where. Rules you can read and change, not a model's judgement.
People: anything with money, accounts, or upset customers
Payment detail changes, credit requests, complaints, cancellations, legal notices. The system prepares the context; a person handles the message.
Categories
What a shared inbox usually contains, and what happens to each
- Orders and order changes: record created or updated, confirmation drafted
- Invoices and statements: routed into the invoice processing pipeline with the PDF attached
- Service and maintenance requests: work order created, acknowledgement drafted, priority set by rule
- Status questions (where is my order, when is the technician coming): reply drafted from live system data
- Vendor documents (W-9, COI, remittance): filed against the vendor, dates extracted, expiries flagged
- Complaints and escalations: top of a person's queue, never auto-replied
- Newsletters, notifications, and spam: filed out of the way, still searchable
Integration requirements
What we connect to
The mailbox itself, through Microsoft 365 or Google Workspace with read and, where approved, send-as-draft permission scoped to the shared mailbox. The systems where records get created: your CRM, ERP, ticketing, field service, or accounting software, through their APIs. The place your team already works, so the exception queue lives in a tool they open anyway rather than one more login.
Personal mailboxes are out of scope unless you choose otherwise. The point is the shared inbox where work arrives, not surveillance of individual email.
Limits
Error handling, security, and what the system will not do
No silent actions
Every classification, extraction, draft, and routing decision is logged with the email it came from. A misfiled message can be found and corrected.
Fraud-sensitive messages never auto-execute
Banking changes, payment requests, and account access requests are routed to a person with a verification checklist. Email is the main channel for payment fraud, and automation must not make it easier.
Attachments are read, not trusted
Documents are extracted and checked against your records. Nothing posts on the document's say-so alone.
Confidence thresholds are yours
You set how sure the model must be before a routine email is handled without review, per category. Start conservative; loosen only where the exception queue shows it is safe.
Where this shows up
Signs this is your problem
- A shared inbox that two or three people take turns reading all day
- Urgent customer messages sitting behind newsletters and notifications
- The same status question answered by hand dozens of times a week
- Attachments that have to be saved, renamed, and filed manually
- Orders or requests missed because they arrived in the wrong inbox
- No way to see how many messages are waiting, or how old the oldest is
Scope and cost
What influences the price
Two workflows that sound the same can differ a lot in effort, so we don't quote from a menu. These are the things that move the number. You get a written price and timeline after the free assessment.
- Daily email volume and how many distinct categories the inbox contains
- How many systems receive records from the emails, and whether each has an API
- How many reply types are in scope and how much review each needs
- Attachment handling: whether documents need full extraction or just filing
- Microsoft 365 or Google Workspace, and how mailbox permissions are managed today
- How many mailboxes are in scope
Often combined with
Related solutions
Where we see this most
Related industries
FAQ
AI Email Automation: common questions
Will the AI send emails to our customers on its own?
Not unless you decide it should for a narrow, low-risk category, and not by default. The standard setup drafts replies for a person to approve. Most businesses keep it that way; some later allow automatic sends for simple status confirmations once the exception queue shows the drafts are reliable.
How is this different from Outlook or Gmail rules and filters?
Rules match on sender, subject, or keywords. They cannot tell that an email with no order number in the subject is an order, pull the line items out of it, and create the record. AI classification handles the messy majority; rules then handle what happens next. You get both.
What about privacy and confidentiality of the emails?
Access is scoped to the shared mailbox and folders in play, granted and revocable by you. Your emails are never used to train outside models. Every automated action is logged. If the inbox contains personal or regulated information, we build so your own safeguards are easy to show.
Can it read attachments like invoices and forms?
Yes. Attachments are recognized, extracted, and checked against your records, then filed or routed into the right pipeline. Invoices, for example, flow into the same matching process as invoices that arrive any other way.
How accurate is the classification?
It depends on how distinct your categories are, and we would rather show you on your own emails than quote a number. The design that matters is what happens to the uncertain ones: they go to a person, and their corrections tune the system. Nothing is misrouted silently.
Does this work with Microsoft 365 and Google Workspace?
Yes, both, through their standard mailbox permissions. The specific permissions needed are listed in the design phase so your administrator can grant exactly those and nothing more.
Get started
Show us the inbox your team reads all day.
Tell us what arrives there and who handles what. We'll tell you which categories can be automated safely, and which should stay with a person.
We'll reach out at a time that works for you. No cost, no obligation.
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We work with businesses in every state.
A few states have their own page with local detail. The list is selective, not a limit on where we work.