AI assistants for customer enquiries, documents, and everyday tasks.
Give your business AI tools that answer common questions, prepare work for review, and organise information. We build them around your services, processes, and software.
Three kinds of AI assistant.
Each one built around a real job, proven on a narrow scope, with your team approving anything that matters. Pick one to see it work.
AI assistants that complete tasks
The steps between an enquiry and a reply, handled
Prepare quotes, draft proposals, and handle the steps between an enquiry and a response. Your team stays in control of approvals.
- Turns a site-visit voice note and your price list into a draft quote to approve.
- Reads each new enquiry, checks your systems, drafts the reply, and passes on the tricky ones.
- Assembles a first-draft proposal from your intake answers and templates.
It works only within the limits you set, and anything a customer sees waits for your approval.
AI chat and phone assistants
Questions answered and enquiries captured, day or night
Answer common questions, capture enquiries, and help customers book, including outside business hours.
- An assistant on your website or phone line that books, reschedules, and answers the common questions.
- An after-hours assistant that captures the enquiry while your team is offline.
- An internal "ask anything" tool over your own policies and pricing.
Your assistant uses business information you approve, with clear rules for when to involve your team. We test its responses and handoffs before launch.
AI for documents and images
Paperwork read, sorted, and filed where it belongs
Extract details from scanned paperwork, organise images, and prepare information for your team to use.
- Photograph a stack of receipts and the line items are extracted and coded for review.
- Turn a folder of product or property photos into a tagged, searchable catalogue.
- Read scanned forms and permits by their layout, not just the text on them.
- Flag likely defects on a production line for a person to confirm.
It flags every judgment call for review, and we measure its accuracy before you rely on it.
Proven before you commit
We build one capability, measure it against how you work today, and set the approval points and data handling with you before it touches anything real.
Check it is the right tool
First we work out whether this job needs an assistant at all, or whether a simpler automated process does it for less. We tell you which.
Prove one thing
We build one narrow capability and measure it against how you work today, before anything else is decided.
Harden & integrate
We connect it to your systems, set the guardrails, and keep a person in the loop where it matters.
Scale & watch
We extend what works to the next use case and keep measuring it as you grow.
Approvals and your data
Human in the loop
The AI proposes; a person approves anything with real consequence. You set where that line sits.
Your data stays yours
We build inside the accounts you control and never feed your data to public AI models. Built to respect PIPEDA.
Grounded in what you approve
Your assistant uses business information you approve, with clear rules for when to involve your team. We test its responses and handoffs before launch.
Clear about what is ready
Some of this is ready to run in your business today, and some is worth waiting on. We tell you which before you spend anything.
It fails to a human
You hold the accounts and config. If a capability stumbles, it falls back to your existing process.
The honest answers
Bring the rest to a free first consultation, including the sceptical ones.
Is this worth it for a business our size?
It is worth it when it is aimed at a real problem and proven before you commit. We build one capability first and measure it against how you work today, then recommend it only when the numbers earn it. Where a simpler automated process would serve you better, we say so.
How is this different from your AI Automation service?
It comes down to whether a job follows a set process or needs something interpreted. An automated process is right when the rule is clear: when this happens, do that, using information already organised in your systems. An assistant is right when the input is a scan, a photo, a recording or a message written in plain language, or when someone needs a question answered rather than a template sent. Most businesses end up with some of each, and we recommend the right approach and combine them where useful.
What if the assistant gets something wrong with a client?
Your assistant uses business information you approve, with clear rules for when to involve your team. We test its responses and handoffs before launch, and anything a client sees can require your approval first, so a mistake reaches you rather than them.
Do we need a data scientist or technical team?
No. We build, integrate, and maintain the technical side and design each capability around how your team already works. Your job is to point us at the problem and judge the result.
Is our data safe, and will it train someone's AI?
You own it. We work inside the accounts you control, agree in writing on what each capability touches, and never feed your data to public AI models. Built to respect PIPEDA and your confidentiality obligations.
Which of these do we actually need, and what does a first project look like?
Often just one, and sometimes a simpler automated process instead. The free first consultation is where we work that out, with no obligation. If a build makes sense, we scope a single capability, agree the price and what success looks like in writing, and let you judge it on real results before you commit to more.
Wondering whether an AI assistant fits your business?
Tell us what you need and we'll send you a quote. Or book a free 15-minute call to discuss your goals and the next steps.
Every engagement is scoped to your business, so the quote you get is for your advanced AI project.
Or email us at contact@lumentadigital.com.