AI automation for small businesses

Hand off the tedious work to AI, and free yourself to focus on your customers and your business. We build systems that take routine work off your plate, inside the software you already use. You approve what matters.

The Fenrir Labs logo: a snarling steel wolf with an ice-blue eye inside a ring of runes and circuit lines, above the words Fenrir Labs.

Examples

Where AI could fit into your day.

Pick a business and see how one everyday request might be handled, and where you stay in charge.

A nine-person heating and air company

A 7 pm voicemail becomes a scheduled job

Illustrative example · fictional data

7:14 pm

Voicemail and a photo by text, after the office has closed

“Upstairs unit is blowing warm air and clicking. I sent a picture of the label.”

  1. 7:14
    AI

    Understands the request

    Transcribes the voicemail and reads the model and serial number from the photo of the nameplate.

    Phone system

  2. 7:14
    Your systems

    Finds the customer

    Matches the number to the Reyes household: maintenance plan active, two visits on record.

    CRM

  3. 7:15
    Your systems

    Checks the warranty

    Reads the certificate on file. The compressor is covered through 2029; labor is not.

    Documents

  4. 7:15
    AI

    Works out the likely job

    The symptom and this model's repair history point to a failed capacitor. Lists the part and typical labor.

    Service history

  5. 7:15
    Your systems

    Finds a slot and the part

    Two technicians are free tomorrow morning, and the capacitor is on truck 3.

    CalendarInventory

  6. 7:16
    AI

    Drafts the quote and the reply

    Applies the plan discount, waives the diagnostic fee and offers two arrival windows.

    Price list

  7. 7:21
    Your approval

    The owner approves from their phone

    One tap. The price and the wording can be edited first.

  8. 7:21
    Done for you

    Does the paperwork

    Puts the job on truck 3's calendar, texts the customer, creates the draft invoice and sets a reminder if there is no confirmation by 8 am.

    CalendarSMSAccounting

The customer has an appointment before a competitor's office opens. Nobody opened a laptop.

A four-attorney civil practice

A new matter is checked, summarized and ready to open

Illustrative example · fictional data

9:02 am

Website intake form with a 14-page complaint attached

“I was served yesterday. Can your firm take this?”

  1. 9:02
    AI

    Reads the complaint in the office

    Lists the parties, court, case number, claims and service date. The file is processed on the firm's own server.

    Local AI server

  2. 9:03
    Your systems

    Runs the conflict check

    Searches all five names against twelve years of clients, opposing parties and matters. One possible match is flagged.

    Practice management

  3. 9:03
    AI

    Finds the dates

    Pulls the response period stated on the summons, calculates the date and marks it for confirmation.

    Documents

  4. 9:04
    AI

    Writes the matter summary

    One page: who, what, the amount claimed, the documents provided and what is still missing.

  5. 9:05
    AI

    Drafts the engagement letter

    Starts from the firm's template with the fee terms for this type of matter.

    Templates

  6. 9:20
    Your approval

    An attorney reviews

    Clears or confirms the conflict flag, checks the date against the summons and edits the letter.

  7. 9:21
    Done for you

    Opens the matter

    Sends the letter for signature, creates the matter and folder, puts the response date on two calendars and schedules the intake call.

    E-signaturePractice managementCalendar

By 9:30 the attorney is making decisions, not typing names into a search box. No client document left the building.

A bookkeeping firm with 62 monthly clients

Month-end starts with every gap already found

Illustrative example · fictional data

6:00 am

First working day of the month

“Close begins for 62 clients. 412 documents arrived through the portal and shared inbox.”

  1. 6:00
    Your systems

    Collects what arrived

    Gathers every upload and attachment and files each one to the right client.

    Client portalEmail

  2. 6:05
    AI

    Reads and classifies

    Bank and card statements, bills, receipts and payroll reports, including photos taken on a phone.

  3. 6:20
    Your systems

    Matches to the ledger

    Ties each document to transactions in the client's file and each statement to its account balance.

    Accounting softwareBank feeds

  4. 6:40
    AI

    Finds the gaps

    Per client: missing statements, charges above your threshold with no receipt, and entries nobody has coded.

  5. 6:45
    AI

    Drafts each request

    One email per client naming the exact items, down to the account and the transaction.

    Email

  6. 8:30
    Your approval

    The bookkeeper reviews the queue

    62 drafts, with the nine unusual ones sorted to the top. Approve in bulk or one at a time.

  7. 8:45
    Done for you

    Sends, reminds and tracks

    Requests go out, reminders follow in three days, and the close checklist updates as documents arrive.

    EmailStatus board

Every client has been asked for exactly what is missing before the first coffee is finished.

A regional industrial supplies distributor

An emailed purchase order is entered, checked and confirmed

Illustrative example · fictional data

2:40 pm

Email with a PDF purchase order, 14 lines

“Please confirm PO 88213 and advise ship date.”

  1. 2:40
    AI

    Reads the purchase order

    Customer, ship-to address, 14 lines, requested date and the customer's own part numbers.

    Email

  2. 2:40
    Your systems

    Translates the part numbers

    Maps their numbers to yours from past orders. One new item is matched by its description.

    ERP

  3. 2:41
    Your systems

    Checks stock and price

    Twelve lines are in stock. One is short by 40 units. One is priced below the contract.

    InventoryPrice agreements

  4. 2:41
    AI

    Plans around the problems

    Ship 13 lines now; the shortfall follows on the 18th from an open supplier order. The price difference is noted with the contract reference.

    Purchasing

  5. 2:42
    AI

    Drafts the order and confirmation

    A sales order ready to release and a confirmation that states the backorder plainly.

  6. 2:48
    Your approval

    Customer service approves

    They see only the two exceptions, not the twelve lines that were fine.

  7. 2:48
    Done for you

    Releases the order

    Creates the sales order, sends the pick ticket to the warehouse, emails the confirmation and tells the salesperson about the price query.

    ERPWarehouseEmail

Entered, checked and confirmed in eight minutes, with both problems caught before the truck was loaded.

How we build

Three rules behind every design

It works with what you have

We connect the software you already run. Nobody has to learn a new tool.

You approve what matters

Routine steps run on their own. Money, commitments and anything unusual wait for you.

Your data stays where you decide

Cloud AI runs on your own company account. Where documents should stay in your office, part of the work can run on your own hardware.

A good place to start

Questions we can help you answer

All AI & automation FAQs
How can AI help my small business?

AI can help draft routine responses, summarize documents, organize incoming information and find details your team repeatedly looks up. Start with a frequent task whose output someone can check. The useful question is where it can reduce effort in your workflow, rather than how many AI tools you can add.

How much does AI automation cost for a small business?

Cost depends on the scope, integrations, data preparation and amount of custom development. Budget for ongoing model usage or local hardware, hosting, maintenance and staff review as well as the initial build. Fenrir Labs scopes projects individually; a description of one task is enough to begin a discussion, but not enough to give a reliable fixed quote.

Can we use AI without sending confidential files to the cloud?

A local workflow can be designed to process confidential content within your environment. That boundary needs to cover extracted text, search indexes, prompts, outputs, logs and backups as well as the files themselves. Keeping the original document locally does not help if its contents are then sent to an external model.

Ask the assistantWhat could we automate for you?