Right Flow AI

Examples library

AI automation examples from real operations

Fifteen business process automation examples, each broken into the same five parts: what arrives, what the rules check, what AI reads, where a person stays involved, and what changes. These are illustrative examples, not client case studies. Each one links to the page that explains how it is built.

Published 2026-09-24.

  1. 1. Invoice matching and posting

    Any business with purchase orders
    What arrives
    Vendor invoices as PDFs by email, some via a portal.
    What the rules do
    Match to the open PO, compare quantities and prices within tolerance, detect duplicates, post to accounting.
    What AI reads
    Read vendor, amount, date, and PO number from PDFs of every layout, with a confidence score per field.
    Where a person stays
    Reviews mismatches with the failing line highlighted. Approves anything over threshold.
    What changes
    Clean invoices post the day they arrive. The month-end backlog of unmatched invoices disappears.

    How this is built: Order and invoice processing →

  2. 2. Purchase orders from EDI, email, and portals

    Distribution and wholesale
    What arrives
    Customer POs as EDI transactions, PDFs, spreadsheets, and portal downloads.
    What the rules do
    Map customer part numbers to SKUs, check price list and stock, post to the ERP, send confirmations.
    What AI reads
    Read PDF and email orders that arrive in a different layout per customer.
    Where a person stays
    Works the exception queue: unknown SKUs, price mismatches, stock shortfalls.
    What changes
    No PO is keyed twice. Wrong quantities are caught at order entry instead of on the truck.

    How this is built: Purchase order automation →

  3. 3. Shared inbox triage

    Operations teams everywhere
    What arrives
    A few hundred emails a day: orders, requests, questions, complaints, vendor documents, noise.
    What the rules do
    Create the record in the right system, file attachments, route to a named queue, draft replies from templates.
    What AI reads
    Classify each message and extract the order number, account, dates, or amounts it refers to.
    Where a person stays
    Approves drafted replies. Handles complaints and anything low-confidence first.
    What changes
    Urgent messages surface immediately. Routine ones are handled without anyone reading them twice.

    How this is built: AI email automation →

  4. 4. Certificate of insurance tracking

    Construction, logistics, property management
    What arrives
    Subcontractor and carrier COIs as PDFs by email.
    What the rules do
    Compare coverage types, limits, and expiry dates to your requirements. File against the vendor. Flag expiries ahead of time.
    What AI reads
    Read limits and dates from certificates issued in different formats by different insurers.
    Where a person stays
    Reviews certificates that fall short or read poorly. Decides on exceptions.
    What changes
    No expired coverage discovered after an incident. No spreadsheet of renewal dates.

    How this is built: Document processing →

  5. 5. Certified payroll reports

    Construction
    What arrives
    Timesheets by project and day, payroll records, project wage determinations.
    What the rules do
    Map workers to classifications, apply rates and fringes, reconcile against payroll paid, assemble the required format.
    What AI reads
    Read subcontractors' certified payroll PDFs when you review them as the prime.
    Where a person stays
    Reviews flagged discrepancies, signs the statement of compliance, submits.
    What changes
    An afternoon per project per week becomes a review. Classification errors are caught before submission.

    How this is built: Certified payroll automation →

  6. 6. Submittal and RFI tracking

    Construction
    What arrives
    Submittals and RFIs sent by email; responses in threads.
    What the rules do
    Log each item with its due date on the way out, match replies to items, remind on overdue, show one live list.
    What AI reads
    Match an incoming reply to the right open item when the subject line doesn't say.
    Where a person stays
    Reviews responses and decides what to do about late ones.
    What changes
    The project manager sees what is open and late without reading a mailbox.

    How this is built: Construction workflows →

  7. 7. Maintenance request intake

    Property management
    What arrives
    Requests by phone, text, email, and resident portal.
    What the rules do
    Match to the unit, categorize, set priority, route to the right vendor, send status updates as the work order moves.
    What AI reads
    Read free-text requests to classify the issue and urgency.
    Where a person stays
    Handles urgent and unusual requests, and the judgement calls on vendors.
    What changes
    One queue instead of four channels. Residents hear back without anyone remembering to update them.

    How this is built: Property management workflows →

  8. 8. Owner statements

    Property management
    What arrives
    Rent roll, expenses, and vendor invoices per property, in separate systems.
    What the rules do
    Pull and reconcile per property on a schedule, flag anything that doesn't tie out, assemble the statement.
    What AI reads
    Read vendor invoices that arrive as PDFs so they can be matched to work orders.
    Where a person stays
    Reviews flagged mismatches and releases the finished statements.
    What changes
    Days of month-end assembly become a review. Owners get accurate statements on time.

    How this is built: Operational reporting →

  9. 9. Job ticket to invoice

    Field services
    What arrives
    Technician job tickets: parts used, labor, photos, signature.
    What the rules do
    Check the ticket against the dispatched job, map parts and labor codes, create the draft invoice, deduct parts from truck stock.
    What AI reads
    Read handwritten or photographed tickets where digital capture isn't in place yet.
    Where a person stays
    Reviews the draft invoice before it is sent. Handles mismatches.
    What changes
    A finished job is billable the same day instead of days later.

    How this is built: Field services workflows →

  10. 10. Freight invoice audit

    Logistics
    What arrives
    Carrier invoices by email or EDI; rate confirmations on file.
    What the rules do
    Match invoice to rate confirmation, check base rate, fuel, and accessorials within tolerance, detect duplicates, post or hold.
    What AI reads
    Read carrier invoices that arrive as PDFs in varying formats.
    Where a person stays
    Reviews disputes with the exact line highlighted.
    What changes
    Overcharges are caught line by line without a person reading every invoice.

    How this is built: Logistics workflows →

  11. 11. Client intake to matter setup

    Law, accounting, consulting
    What arrives
    A web form, an email, or a logged call from a new client.
    What the rules do
    Run conflict and duplicate checks, create the matter, billing record, and CRM entry from one source, send a tailored document checklist, draft the engagement letter from the template.
    What AI reads
    Recognize uploaded documents and confirm they match the checklist.
    Where a person stays
    Clears conflicts, reviews and sends the engagement letter, sets scope and fees.
    What changes
    Details are typed once. Documents are chased automatically. The team sees status without asking.

    How this is built: Client intake automation →

  12. 12. Monthly bookkeeping document intake

    Accounting firms
    What arrives
    Bank statements, bills, and receipts as PDFs and phone photos.
    What the rules do
    Match to client and period, file under naming rules, match extracted transactions to the bank feed.
    What AI reads
    Extract dates, amounts, and payees from documents of every shape, with confidence scores.
    Where a person stays
    Reviews unmatched or low-confidence transactions with the source shown. Classifies the unusual ones.
    What changes
    Reconciliation starts from checked data instead of a pile of PDFs.

    How this is built: Accounting firm workflows →

  13. 13. Employee onboarding

    Any business hiring regularly
    What arrives
    A start date set in the HR system, or an intake form.
    What the rules do
    Trigger accounts, equipment, forms, payroll details, and training in order, by role. Remind and escalate on late steps.
    What AI reads
    Check submitted documents for completeness and legibility.
    Where a person stays
    Handles non-standard access requests. Grants access through IT's own process.
    What changes
    New hires have a login and a laptop on day one, and nobody's checklist is the single point of failure.

    How this is built: Employee onboarding automation →

  14. 14. Quote and purchase approvals

    Sales and finance teams
    What arrives
    A quote in the CRM, a purchase request, an expense report.
    What the rules do
    Route by amount, category, and department. Remind, escalate, enforce separation of duties, log the decision. Update the originating system on approval.
    What AI reads
    Read requests that arrive as emails or receipt photos so they can enter the right chain.
    Where a person stays
    Approves or declines. Every decision is human.
    What changes
    Approvals take hours instead of days, and the record is attached to the thing approved.

    How this is built: Approval workflow automation →

  15. 15. CRM and accounting kept in sync

    Any business with a CRM and QuickBooks or an ERP
    What arrives
    A deal marked won; a payment received; a customer address changed.
    What the rules do
    Create the customer once, generate the invoice from the quote, sync payment status back, enforce one owner per field, flag conflicts.
    What AI reads
    None needed. This one is pure integration, and that is the point.
    Where a person stays
    Resolves duplicates and conflicts shown with both values.
    What changes
    Sales sees payment status. Finance stops retyping deals. The two systems agree.

    How this is built: CRM and accounting integration →

Pattern

What every example has in common

Unstructured inputs are read by AI with a confidence score. Everything that must be exact is a rule against your own data. Anything uncertain, and every decision that matters, goes to a person with the context already assembled. That pattern is the whole method, and it is what makes the automation trustworthy enough to run on real work.

What AI automation is, in plain language →When not to automate →Put a number on your process →

FAQ

About these examples

Are these real client case studies?

No. They are illustrative examples of how these workflows are designed. We don't publish invented case studies or results. Each example links to the page that explains how it is actually built.

Why does every example have a 'person' step?

Because that is how reliable automation works. The system handles the routine share and makes the uncertain share visible. Decisions with money, customers, or compliance on the line stay with a person, by design.

Which of these needs AI at all?

Only the ones with unstructured inputs: PDFs of varying layouts, emails, photos, free-text requests. The CRM and accounting sync example needs none. Several others need AI at one step and rules everywhere else. That ratio is normal and healthy.

How do I know which example fits my business?

Find the one where the 'input' column describes something your team retypes, reads, or chases by hand every week. Then put a number on it with the process cost calculator. If it costs real hours, it is a candidate for a free assessment.

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