Where AI helps, by job or by region.
By job, each kind of work links to a page where you can see it done. By region, pick the part of New Hampshire nearest you and read what we'd build there. The films and examples use made-up businesses. The case studies are real projects.
Deciding where AI should start
A week or two mapping how the work runs and the hours it takes, ending with a ranked list and the first step quoted.
Approving what the AI drafted
Managers see the draft, the evidence and the reason it needs a person, and approve it from a phone.
Quotes and RFQs
A request arrives as a PDF or a set of photos. AI reads it and drafts the quote, and you check it before anything goes to the customer.
Calls, job tickets and invoices
Calls and messages become job tickets, and invoices are drafted the day the job closes. The owner still approves the larger ones.
Seasonal letters
Plow renewals and service contract reminders drafted from last year's customer list, for you to review and send.
Front desk and warranty email
Replies drafted from your own policy, checked line by line and sent by a person on your team.
Documents that can't leave the building
ITAR drawings, CUI, patient records and tax returns read on a server you control, inside a written data boundary, and never sent to a public AI service.
Keeping a small nonprofit's website safe
A check of what's public, then updates, tested backups and email protection, with every login kept in the nonprofit's name. Free for New Hampshire nonprofits.
Town and public information
A town website that answers residents' questions from the town's own documents.
Staff questions in the tools you already pay for
Employees ask in Microsoft Teams and get answers from Workday, without learning another app.
The first cold snap, without the phone melting down.
It goes below zero on a Friday night and forty people call inside an hour, all of them saying the same three words. Your on-call tech is already driving. Whoever picks up is writing addresses on the back of an envelope, and the calls that can wait until Monday are burying the two that can't.
A line that answers every one of those calls. It takes the address, the system, and whether there is any heat in the house at all, checks it against tonight's schedule, and texts the on-call tech only the jobs that genuinely can't wait. Everything else is in Monday's queue by morning, already written up.
- The real emergencies surface in minutes, not at seven the next morning
- A tech's voice memo from the truck becomes the service record and the invoice lines
- Nobody is lost because the line was busy
The same forty questions, in every language leaf season brings.
Between foliage and February vacation week you answer the same handful of questions several hundred times. Is the Kancamagus open. Do you take dogs. How far to the tram. Can we check in early. Is there room for a trailer. They arrive by email, by Booking.com message and by text, most of them at eleven at night, and a good half are from people who haven't booked yet.
An assistant trained on your own house rules, your rates, your local knowledge and the replies you've already written. It drafts the answer in the guest's language, sends the straightforward ones itself, and puts anything touching money, cancellations or a complaint in front of a person before it goes anywhere.
- Inquiries answered within minutes at 11pm — which is when they turn into bookings
- Seasonal staff get the same assistant as a handbook they can simply ask
- The awkward ones still reach you, flagged and with the history attached
Two weekends a year decide the other fifty.
Every customer wants their boat in the water the same weekend in May and out of it the same weekend in October. In between, half the work is looking up what you did to hull 214 last season — which wrap it had, whether the impeller was done, what the owner was told about the outdrive — and the answer is in a folder in the back office.
Your service history, paper files included, put behind something you can just ask. "What did we do to the Regal last fall?" comes back with the work and the invoice. Then the scheduling: winterization and commissioning slots offered out by text in the order that suits the yard, rather than the order people happened to call.
- Twenty years of service history answerable in seconds, from the dock
- Both seasonal crunches booked without a whiteboard and a shouting match
- Quotes built from what the same job actually cost you last year
Paperwork that never leaves the building.
Intake forms, referral letters, prior authorizations, notes written after hours because the day was full of patients. It is precisely the work AI is good at, and precisely the work you cannot put through somebody else's cloud and sleep well.
The same assistant, running on a machine in your own office. It summarizes intake, drafts the prior-auth letter, and pulls the relevant history into a note for you to correct and sign. Nothing is sent anywhere. There is no per-seat bill, and no vendor holding your records hostage at renewal.
- Patient and client records stay on hardware you can walk over and point at
- No cloud processor to disclose, because there isn't one
- A fixed monthly cost rather than one that grows with your caseload
A five-week season and a twelve-month order book.
The sap runs for five weeks; the orders arrive all year. Wholesale accounts email their POs in whatever format suits them, the farm-stand regulars text, mail-order customers want to know where their gallon has got to — and the one person who knows the answer to all of it is out in the sugarbush.
Order emails and PDFs read into a single list — customer, grade, size, quantity, ship date — so the pack list writes itself. The weekly note to your mailing list drafted from what actually happened that week. And a shop assistant that handles the grade, allergen and shipping questions before they reach your inbox at all.
- Every order in one place, whatever shape it arrived in
- Wholesale POs stop being retyped into the invoice, and stop being retyped wrong
- The newsletter goes out even in the week you have no business writing one
RFQs that arrive as a PDF and a prayer.
Quote requests come in as emailed drawing packages, spreadsheets and scanned POs. Somebody has to read each one, pull the part number, quantity, material, tolerance and due date, work out whether you've cut it before, and put a number on it. The ones you don't answer inside two days are generally the ones you don't win.
AI that reads the drawing package and the PO, drops the line items into your quoting sheet or ERP, finds the closest job you have actually run, and drafts a first-pass number for your estimator to correct. Because a good deal of this work is ITAR- or CUI-controlled, it runs on a machine in your building — no drawing is ever sent to a public model.
- Quotes back the same day instead of the same week
- Past jobs findable by material and geometry rather than by who remembers them
- Controlled drawings never leave your own network
August staffing and February revenue, in the same building.
A Portsmouth summer and a Portsmouth February are two different businesses in one lease. You order and staff for one and get handed the other. Meanwhile the inbox fills with private-event inquiries, allergen questions and "are you open Thanksgiving", and the answers live in three people's heads, none of them on shift.
Covers forecast from your own booking history, the weather and the local event calendar, so prep and the schedule start from a number rather than a feeling. An assistant on the inbox answering the allergen, hours, parking and private-dining questions out of your real menus and policies — and handing the event inquiries to a human with the date, headcount and budget already collected.
- Prep and the rota built on last year's actual Thursdays
- Event inquiries answered while the customer is still deciding
- Supplier invoices read straight into food cost, untouched by anyone
Your job isn't on the list? Tell us about the work that eats your week, and we'll say plainly whether AI is any good at it.
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