Opportunity discovery
We sit with the people closest to the work and map the repetitive jobs, the customer friction and the opportunities going missed.
A clear roadmap. A confident first step.
We rank every idea on value, effort and risk with the people who do the work, then hand you a one-page roadmap with the first pilot scoped and a baseline for every measure.
Few businesses ask for an AI strategy. They ask about one of these, and the strategy is how it gets sorted out.
We shape the scope around your goals, the systems you already run and the people who will use the result.
We sit with the people closest to the work and map the repetitive jobs, the customer friction and the opportunities going missed.
We review your data, the tools you already pay for and your team’s skills, to find what is practical today and what needs fixing first.
We compare every use case on business value, effort and risk, map what each one depends on, then set a staged delivery plan.
We agree a baseline, a few useful measures and an owner for each, so your team can judge every initiative on its own numbers.
The documents are yours, whether or not you build anything with us. They are written about your business, not about our product.
What is it worth, what will it take, and what could go wrong? Scoring each idea on value, effort and risk turns a wish list into an order. Some ideas don’t survive it, and we say which.
A facilities maintenance business of about 140 people runs on Microsoft 365, Simpro and Xero. It brings seven ideas to discovery. Here is how they might rank.
The roadmap puts the ranked list in order of delivery, in a form your team can act on: what starts now, what follows, and what waits for something else to be true first.
Predicting which sites need reactive work. Revisit once the job history in Simpro is complete.
Approving purchase orders automatically. Spending money stays a person’s decision.
In the usual shape, discovery and prioritising take about three weeks, and your timeline is confirmed in writing before they start. At the end, the first item on the roadmap is scoped as a pilot, and whether it goes ahead is your call.
We sit with the people doing the work and write down what actually happens.
Every opportunity ranked on value, effort and risk, with the pilot scoped.
How SpeedOz reaches each of your systems, and who signs in how.
Access starts closed, and a person on your side reviews it.
Tested on realistic cases, then released to the people you nominate.
Outcomes, exceptions and cost, typically read with you each month.
Anything else, ask in the evaluation. A person answers within one business day.
With your goals and the work your people do every week, not with a tool. We shortlist the opportunities where the business value is clear and what it would take to deliver is known, then rank those.
Not necessarily. The assessment starts from the systems you already run. Often a connection or a targeted change does more than a replacement, and where a feature you already pay for does the job, the roadmap says so.
In the usual shape, discovery takes about two weeks and prioritising about one. Your timeline and the deliverables are confirmed in writing before the work starts.
Discovery runs on conversations and a workshop with the people closest to the work, plus whoever looks after the systems. The written scope states what we need from your people, in hours, before anything starts.
Then the roadmap says so, and says what would change the answer. Usually that is data that needs tidying or a process that needs settling first, and the roadmap names who would do it.
It is a good place to start. Discovery maps which AI apps are already in use and by whom, and the roadmap builds on them. Once anything connects to your systems, each app is approved per team by a named person.
Tell us what you want to improve. A person reads it, replies within one business day and suggests a practical first step, even if that step isn’t us.