Word & Outlook
Drafts, summaries, replies — on-policy.
Microsoft Copilot — Philippines
Copilot your Philippine team actually uses.
What is available: a requirements call, in-house Copilot training, or a full adoption programme.
- ~1,500 People trained by LOKAL in the last two years
- 250+ Organisations served since 2017
- CCA-F Our founder: Claude Certified Architect · OpenAI Champions Network member
The brief
We reply within one business day. 15-minute call, then a written map.
A clear place to start. Room to go further.
Consulting, training, or a rollout across Word, Excel, Outlook and Teams.
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Door 1
Book us as a consultant
Licensing, use-cases, data boundaries inside your tenant. What Copilot should not see.
Book a consultation -
Door 2
Attend a session
Copilot shows up in public workshops; private Copilot-only days are the usual buy.
See workshops -
Door 3
Run it for your team
In-house across Word, Excel, Outlook, Teams — on your files.
Request an in-house session
Artificial Intelligence, while widely utilized, reveals its true potential when leveraged with precision and purpose — and that’s exactly what the session gave us.
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The stack we run, and the credentials behind it.
Our founder holds the Claude Certified Architect — Foundations credential and is a member of the OpenAI Champions Network. These credentials do not endorse any engagement.
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CCA-F Claude Certified Architect — Foundations -
OCN OpenAI Champions Network
- Claude by Anthropic
- ChatGPT by OpenAI
- Microsoft Copilot
- Google Gemini
- NotebookLM
The Microsoft estate you already pay for.
Licences without habits are a line item.
Excel
First-pass analysis, not a replacement for the analyst.
Teams
Recaps and actions that match how you already meet.
Governance
What Copilot can see. Sensitivity labels. Who is in the pilot.
Adoption, not a licence count.
Before you book
Do you sell Copilot licences?
No. You buy from Microsoft. We make the licences worth it.
Does our tenant need to be ready before Copilot goes live?
Yes. Copilot can see whatever each user can already see, so the consultation checks permissions, sharing and sensitivity labels before anyone gets a seat.
How big should the pilot be?
One team with a real workload, small enough to support properly. We agree the use-cases and how adoption will be measured before it starts, then widen it.