Step 1
Initial conversation and target picture
Where AI genuinely saves you work – and where it does not. We sort ideas by benefit, feasibility and risk.
Service · Copilot · Agents · Azure AI
Copilot & agent readiness: bring AI safely into your Microsoft 365 processes
ICT 365 introduces AI where your processes already run: in Microsoft 365, SharePoint and the Power Platform. We make data and permissions Copilot-ready, prioritise use cases by benefit, and build agents for clearly scoped tasks – with checkpoints instead of blind flight. And because we develop with AI ourselves every day, we advise from practice, not from the brochure.
5
steps from target picture to operations
200+
satisfied clients
EU AI Act
obligations in view from day one
When AI is on the agenda but nobody knows where to start
AI projects rarely fail on technology – they fail on foundations and scope. Four situations we meet again and again:
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Copilot disappoints in trials
Licensed or piloted – but the results fall short of expectations because structure and data quality are missing.
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Fear of oversharing
Copilot finds everything users can access – including content that was never meant for them.
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Ideas without priorities
There are plenty of use cases – but no order by benefit and feasibility.
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Agents without guard rails
First experiments run without rules, owners or checkpoints.
What works today: Copilot, agents and AI in the platform
The state of AI in Microsoft 365 changes quarterly – as of August 2026, much of it has become routine.
Microsoft 365 Copilot has been a built-in part of model-driven apps since April 2026, AI record summaries and form assistance included; Dataverse has offered AI prompt columns since May 2026, and through Copilot Studio agents can be embedded directly into applications.
We assess what of this is mature for your processes – generally available, preview or merely announced – and build in what measurably helps. The foundation is always the same: clean data and correct permissions. Without them, every AI tool delivers convincingly formatted wrong answers.
What our AI consulting covers
From the first reality check to daily operation:
- Copilot readiness: data quality, permissions and oversharing analysis
- Use-case prioritisation by benefit, feasibility and risk
- Introducing Microsoft 365 Copilot: pilot groups, adoption, measurement
- Agents with Copilot Studio and Azure AI Foundry for clearly scoped tasks – with human checkpoints
- AI in business applications and processes: Power Platform, SharePoint, Azure AI Foundry
- Guard rails for operation: owners, logging, user training
Two routes to AI agents: Copilot Studio and Azure AI Foundry
In the Microsoft world there are two routes to agents – which one fits depends on where your process runs, who builds the agent and how much control you need.
Both routes are growing together: Foundry models can be used in Copilot Studio, and agents can delegate tasks to other agents – much of it still in preview. Here too we assess what is mature and build with checkpoints, logging and clear ownership.
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Copilot Studio
Agents where your teams already work: in Microsoft 365 and Teams, built low-code and connected to your data. With computer use they operate browser and desktop applications, they run on GPT-5.5 or Claude Sonnet 5 – and every new agent automatically receives an Entra Agent ID.
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Azure AI Foundry
Pro-code agents for your own applications: model choice from the Foundry catalogue, connection to your own data and tools (MCP), enterprise control with Entra ID, role-based access and network isolation.
Not just using AI – mastering it
We train users and developers on their own processes instead of slides – and pass on the way of working we develop with ourselves every day.
Introducing AI takes more than licences: your teams must be able to work with it – the EU AI Act demands as much. Since February 2025 it obliges companies to ensure sufficient AI literacy among their staff; since August 2026 additional transparency obligations apply.
In practice that means: AI-assisted development with Claude Code and Google Gemini, agentic knowledge work with Claude Cowork and Claude Teams – learned on your own tasks. We do not replace legal advice – we make your teams capable.
How we introduce AI in your company
Five steps, each with a measurable outcome – from target picture to daily operation.
Step 2
Readiness analysis
Data quality, permissions and oversharing risks are assessed – you receive an action plan with an effort estimate.
Step 3
Pilot with a clear use case
One scoped scenario goes live with a pilot group – with measurable criteria instead of gut feeling.
Step 4
Rollout and adoption
Extension to further groups, training on your own processes and clear rules for daily use.
Step 5
Operation and further development
New AI features are assessed continuously and adopted where they are mature and useful.
Frequently asked questions about introducing AI
Something still open? Ask us directly – in your initial conversation or by phone at +49 651 49364480.
How much does introducing Copilot and AI cost?
Beyond the Microsoft licences, readiness drives the effort: how much needs doing on data and permissions is what the analysis shows – after it you receive a reliable estimate. Licence prices change regularly; we calculate with current Microsoft prices instead of promising figures.
How long until productive use?
A pilot with a clear use case stands much sooner than a company-wide rollout – how soon depends on the state of your data and permissions. The readiness analysis makes it plannable; pilot groups then work productively while the rest is prepared.
What is the Copilot oversharing problem?
Copilot finds everything a user can access – including content never meant for them whose sharing is simply too broad. That is why permission analysis and clean-up belong before the rollout; it is the single most important step of Copilot readiness.
Do we need our own AI models?
In the vast majority of cases, no: Copilot, Copilot Studio and Azure AI Foundry cover the typical enterprise scenarios; custom models only pay off for very specific requirements. We recommend the path that delivers benefit – not the one that sells the most infrastructure.
How do we stay in control of AI agents?
With us, agents get clearly scoped tasks, defined data access and human checkpoints for decisions. Add logging and an owner per agent – governance is part of the build, not an afterthought.
Do we have to train our employees?
Yes – professionally and legally: the EU AI Act has required sufficient AI literacy among staff since February 2025. We train on your own processes instead of slides – from prompt basics to safe agent use; the details sit with our personalised training service.
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An initial conversation takes 30 minutes and costs nothing. Afterwards you will know where you stand with Copilot and AI – and what the sensible next step is.
ICT 365 Solutions GmbH · Bobinethöfe 54 · 54294 Trier
Ralf Heid
Chief Executive Officer
Microsoft 365 & AI Expert
Niklas Wilhelm
Chief Technology Officer
Power Platform Expert & Developer
AI workshop: one day, clear use cases, an honest assessment.