What's buildable

What's actually buildable with AI right now.

No hype, no "transformation." Just the tasks we can take off your plate today, and the ones we're building for businesses like yours. If yours isn't here yet, it probably belongs in the next batch.

Case study · Family office

10,000+ documents, automated.

A family office was drowning in manual document handling, reading, sorting, and keying in details by hand. We built one tool to do it. What took days now runs in the background.

10,000+
documents processed
Days → mins
turnaround per batch
1 tool
one task, done well
10,000+ documents automated
What we build

Real tools, for real tasks.

Lead capture

Lynk: AI name-card scanner

Snap a name card; the contact lands in your system and the follow-up starts itself. AI handles the data entry and the first engagement so warm leads don't go cold in a drawer.

Workflow

Internal workflow automation

The repetitive internal hand-offs that quietly soak up staff hours, routing, tagging, drafting, chasing. Built and battle-tested inside aiFusion before we offer it to you.

Documents

Document processing at scale

Invoices, forms, statements, contracts, read, sorted and entered without the manual keying. The family-office build above is this, productised for your paperwork.

Choosing the first one

A good first build pays for itself.

We don't start with the flashiest idea. We start with the one most likely to earn the right to a second.

01
High time-cost
The task eats real hours every week.
02
Clear rules
It follows a pattern a tool can learn reliably.
03
Frequent and repetitive
It happens often enough that automation compounds.
04
Measurable
You can see the hours saved, so the ROI is obvious.
Straight answers

What SME owners ask about buildable AI.

What can AI realistically do for a small business right now?
The reliable wins are repetitive, rules-light tasks that eat hours: reading and sorting documents, pulling data from forms and name cards, drafting routine replies, tagging and routing enquiries, and following up with leads. We build a tool around one of these and put it to work — rather than handing you a general-purpose chatbot and hoping.
How do you decide which use case to build first?
In the free diagnosis we look for the task with the best mix of high time-cost, clear rules and frequent repetition. That's the one most likely to pay for itself quickly — so it earns the right to a second deployment.
Do you only build document automation?
No. Document processing is a common first win because it's painful and measurable, but we also build lead capture and follow-up tools, internal workflow automations, enquiry routing, and AI assistants trained on your own content. If it's a repeatable task, it's a candidate.
Will the AI tool work with the systems we already use?
That's the job. We integrate the tool into your existing workflow — your inbox, your CRM, your spreadsheets — so your team uses it where they already work, not in yet another app.
What if our task is unusual?
Unusual is normal here — that's the whole point of custom. Off-the-shelf SaaS forces your process to fit the software. We do the opposite: build around how you actually work.

Tell us your most annoying task.

In a free 30-minute diagnosis we'll tell you honestly whether AI can take it off your plate, and what that would look like.