Several initiatives exist, but their value, feasibility and priority are difficult to compare.
AI ARCHITECTURE & DEPLOYMENT · FROM REAL WORK TO PRODUCTION
Deploy AI shaped around your organisation — not another POC.
Move2.digital helps mid-sized and large organisations turn a priority workflow into an AI system used in practice, connected to business teams, data and enterprise systems.
We work from framing through deployment, alongside your teams, to improve a measurable outcome — not only to the POC.
The last mileof AI
01UnderstandReal work
02RedesignHuman, software, AI
03IntegrateData, access, systems
04OperateQuality, cost, autonomy
THE PROBLEM STARTS AFTER THE DEMO
You probably have less of an AI problem than a scaling problem.
Experiments already exist. The challenge is to choose what deserves to be industrialised and connect the system to real work, data, controls and accountability.
The demo works, but not yet with production data, access rights and constraints.
The agent responds, but does not act inside the CRM, ERP, Microsoft 365 or business tools.
Teams do not yet share the same target workflow or quality criteria.
Security, traceability, cost, oversight and accountability must be designed before scaling.
The programme needs to move without waiting to recruit a complete AI team.
WORK BEFORE AI
Do not start with the agent. Start with the work.
Map the real workflow, rules and exceptions before allocating work between people, software and AI.
- 01Real workflow
- 02Rules
- 03Exceptions
- 04AI allocation
- 05Target workflow
THREE WAYS TO MOVE FORWARD
From decision to deployment, according to the project’s uncertainty.
013 to 5 days
AI Last Mile Diagnostic
Choose what should actually be built — and what should stop — before consuming more budget.
- Workflow and exceptions mapped
- Target allocation across people, AI and automation
- Target architecture, decision criteria and 90-day plan
024 to 6 weeks
AI Deployment Sprint
Turn a priority workflow into a first operational system connected to your data and environment.
- Target workflow implemented
- Integrations, controls and evaluations
- Quality, autonomy, adoption and ROI instrumented
03Flexible engagement
Embedded AI Architect
A senior AI architect working directly with your teams until the system is used in practice.
- Business framing and workflow redesign
- Architecture, integration and governance
- Delivery leadership, capability transfer and production
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.
Microsoft 365 Copilot & Cowork
Adopt Copilot and delegate multi-step work with enterprise context and approval for sensitive actions.
Copilot Studio
Design agents connected to organisational knowledge, tools, workflows and channels.
Microsoft Foundry & Azure
Build, host and operate tailored AI solutions integrated with enterprise systems.
Microsoft Agent Framework
Develop robust agents and workflows with sessions, tools, middleware and explicit orchestration.
Microsoft Agent Harness
Govern long-running tasks with planning, memory, context compaction, tool approvals and observability.
Microsoft Purview
Govern and protect data, reduce oversharing risks and prepare AI use cases for production.
YOUR AI PROJECT
