AI CONSULTING & DELIVERY · INTERNAL USE CASES & CUSTOMER EXPERIENCE

Build AI shaped around your organisation — not the same AI as everyone else.

Move2.digital designs and delivers assistants, agents, automations and AI products connected to your business, data and systems — from strategy to production.

Inside the organisation, to improve decisions and work. Customer-facing, to augment products, services and journeys with an experience generic AI cannot reproduce.

The last mileof AI
01Prototype
02Business
03System
04Production

WHY DIFFERENTIATION MATTERS

Everyone can access the same models. Few organisations build AI that is truly their own.

Installing the same assistant as competitors quickly creates a standard gain. The difference comes from business context, rules, memory, integrations and the way AI serves your teams and customers.

OUR SERVICES

Three ways to reduce uncertainty and move.

MEMBER OF THE MICROSOFT AI CLOUD PARTNER PROGRAM

Microsoft capabilities connected to business outcomes, not stacked as a catalogue.

Move2.digital advises, designs and delivers AI use cases across the Microsoft ecosystem, from Copilot adoption to governed and observable agents.

Precision mechanism illustrating the control, memory and observability of an enterprise AI agent
Connect models, context, tools and controls to move from copilot to an operable system.
01

Microsoft 365 Copilot & Cowork

Adopt Copilot and delegate multi-step work with enterprise context and approval for sensitive actions.

02

Copilot Studio

Design agents connected to organisational knowledge, tools, workflows and channels.

03

Microsoft Foundry & Azure

Build, host and operate tailored AI solutions integrated with enterprise systems.

04

Microsoft Agent Framework

Develop robust agents and workflows with sessions, tools, middleware and explicit orchestration.

05

Microsoft Agent Harness

Govern long-running tasks with planning, memory, context compaction, tool approvals and observability.

06

Microsoft Purview

Govern and protect data, reduce oversharing risks and prepare AI use cases for production.

YOUR AI PROJECT

Which internal or customer-facing use case should become operational?

Present your AI project