365 Innovator helps organisations move from broad AI interest to focused Microsoft Copilot and AI use cases with clear value, appropriate controls and a practical adoption path.
Support can include readiness assessments, Microsoft 365 Copilot adoption, Copilot Studio agents, secure RAG solutions, governance, evaluation, training and ongoing improvement.
Identify where Microsoft 365 Copilot or Copilot Chat can create measurable value before committing to a broad rollout.
We assess use cases, licensing, information access, oversharing risk, data readiness and adoption needs, then plan a focused pilot, training and success measures.
Help employees find information or complete controlled tasks through agents designed around clear responsibilities and boundaries.
We build Microsoft Copilot Studio agents using approved knowledge, tools and connectors, with authentication, human approval and conventional automation where deterministic processing is safer.
Provide conversational access to approved documents and data while keeping sources and permissions visible.
Retrieval-augmented generation (RAG) solutions can use SharePoint, Dataverse, Azure AI Search and other authorised sources, with citations, access controls and response evaluation designed into the solution.
Treat an AI solution as an operational service rather than a one-off demonstration.
We define ownership, risk controls, test cases, quality measures, monitoring, feedback and review processes so performance can be evaluated and improved as business information and requirements change.
Is this the right service?
This service supports organisations that want to identify valuable AI use cases, prepare for Microsoft 365 Copilot, build Copilot Studio agents or provide secure conversational access to approved business information.
What you receive
A clear delivery path
Each engagement is shaped around the problem, stakeholders and constraints, with clear decisions and knowledge transfer throughout delivery.
Common questions
The design starts with identity, permissions, data classification and source-system access. Users should only receive information they are authorised to access, with testing and monitoring appropriate to the use case.
Deterministic, rules-based work is often better suited to conventional automation. An agent may be appropriate when a task requires language understanding, flexible reasoning or interaction with a user. Discovery tests the safer and more maintainable option.
Yes. A focused pilot with clear users, data, controls and success measures is usually the most useful way to test value and operational readiness before wider adoption.
Tell us what you want to improve and where you are today. We will use that context to prepare a focused first conversation.
