Oogle

AI & AUTOMATION

Where AI is worth the effort, and where it isn't.

We look at where AI would genuinely help your business, what it would cost to run and what the risks are, then build the parts worth building. There's a lot of noise in this area and a small number of things that pay. Telling them apart is where the work starts.

WE'RE NOT AN AI COMPANY

We're a web company that's been building business systems for a long time and now has another tool available.

Where AI genuinely earns its place.

Making internal knowledge findable

An assistant over your own documents, procedures and history, so staff stop asking the one person who knows.

Handling piles of text

Summarizing, sorting and routing incoming inquiries, emails, notes and documents.

Drafting, not deciding

First drafts of replies, descriptions, summaries and reports, checked by a person before they go anywhere.

Pulling data out of documents

Structured information out of invoices, forms, specifications and PDFs that were never designed to be machine readable.

Sorting incoming inquiries

So the ones worth a call reach a person quickly, with the context already attached.

Working out whether it's worth it at all

Often the most valuable part, and sometimes the answer is no.

How we approach it.

Use it where it pays, skip it where it doesn't

The pressure on established businesses right now is to have an AI initiative rather than to solve a problem, and that produces expensive projects that quietly stop being used.

The risks worth taking seriously

Confident wrong answers, because these systems don't signal uncertainty the way a person does. Data leaving your control, depending on which service handles it. Costs that grow with usage. And depending on a vendor whose pricing and capabilities are moving fast.

What to expect

  1. We start from a process, not the technology
  2. We ask whether it needs AI at all
  3. We look hard at your data

The starting engagement is contained: look at the processes, assess what's feasible and what it costs, and write a recommendation.

How we bill

AI questions.

Is our data safe?

It depends entirely on which tools are used and how they're set up, and that's a decision to make deliberately rather than discover afterward.

Will this replace staff?

In most of what we build, no, and we'd be cautious about a project whose business case depends on it.

How much does it cost to run?

Usage-based, which is different from a fixed license. We'll model what your volume actually costs before you commit, not after.

Quoted Services

Advisory work is scoped to the question you are trying to answer.

Quoted

Quoted after we look. One-off or monthly.

Not what you need? See all three ways we work

Want an honest read on AI for your business?

Describe a process that's slow or repetitive. Much better starting point than a list of tools.