AI assistants & copilots
Focused assistants grounded in approved context and designed around a specific responsibility.
- Internal knowledge assistants
- Service and enquiry triage
- Research and drafting support
- Structured summaries and outputs
International AI & automation
We design focused assistants and workflows that help international teams use approved knowledge, coordinate handovers and automate repeatable work without hiding ownership.
Platforms selected around the project, not the other way around.
Shared
Approved knowledge and repeatable processes available across distributed teams.
Governed
Permissions, ownership, review and exceptions made visible across markets.
Connected
Assistants working with the systems and handovers that keep international operations moving.
Capabilities
Focused assistants grounded in approved context and designed around a specific responsibility.
Connect models, rules and business systems so repetitive work moves through a dependable process.
Prepare trustworthy source material so assistants can find relevant context and show where an answer came from.
Test usefulness, define boundaries and give the team a practical way to operate and improve the system.
From our experience
Philip ArgyropoulosFounder & Growth Marketing Strategist “A useful assistant needs more than a capable model. It needs approved source material, clear permissions, reliable integrations, human review and an owner for the result. We make those decisions visible before a workflow is shared across teams or markets.”
Reduce repetitive coordination and make approved process knowledge easier to use across time zones and markets.
Support research, localisation and content operations while preserving market context and editorial ownership.
Add AI capabilities to products and internal tools with clear interfaces, data boundaries and review.
We prove the task, source material and controls with a focused user group before adapting the workflow for more teams, languages or markets.
Map the current workflow, friction, source material, owner and useful result.
Define permissions, data boundaries, human review, fallbacks and evaluation scenarios.
Create the assistant or automation and integrate it with the right knowledge and systems.
Test with real users, inspect failures and expand only when the evidence supports it.
Related industries
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