Maple Open Tech · Services
AI Strategy
Clear guidance through the AI landscape: where AI helps your organisation, what your data allows, and how to use it while your data, and your customers’, stays yours.
What’s included in AI Strategy
AI Strategy helps your organisation navigate the AI landscape. The useful work starts with what you may put into a model, and grows from there into a plan your team can follow.
- A use-case review, each idea ranked with its reasons
- A data boundary: what may go to a model, and how that is enforced
- Local and private model options costed against the hosted ones
- A written policy your staff can follow, on a single page
- Provenance and retention — what a vendor keeps, and for how long
What this looks like in practice
Use-case triage
Twenty ideas, ranked, the best ones first
Private model deployment
Runs in your perimeter, audited, data stays in
Staff AI policy
One page people read and use
How it runs
01
We start with the data
What you hold, what is sensitive, and what your obligations are. Everything else follows from this.02
We rank the candidates
Value against risk against effort, openly, so you can see the reasoning behind every ranking.03
We pilot one thing
Narrow and measurable, with a clear measure of success agreed up front.04
We leave you the policy
What is allowed, who decides, and how it gets reviewed.
Works well with
Maple AI
Maple AI provides Canadian training data, retrieval-augmented generation (RAG) and local LLMs, so your organisation’s AI runs on models and data you control.
Cyber Security Strategy
A security posture sized to your organisation: the handful of controls that matter most, in an order you can afford, with evidence you can show.
Questions people ask
Will you give us an independent recommendation?
Yes, every time, including when a simpler tool serves you better. Advice is only useful when it is independent of what we sell.
Can models run inside our own perimeter?
Yes. Open-weight models run inside your perimeter, and for regulated data that is often the best option. Maple AI provides local LLMs for exactly that.
What about our staff already pasting things into chatbots?
It is common, and the answer is a sanctioned tool that is good enough, plus one page of plain rules your staff will use.
Let’s talk about AI Strategy
Tell us what you are working on, and a person at Maple Open Tech will come back with how we would approach it.