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          Assess the use cases that are worth doing first
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          Secure the identity, data and approval route around them
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          Build and test a useful workflow or custom application
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          Support, review and improve it after launch

          01

          AI needs a job to do, not just a licence

          A lot of businesses are buying AI licences because staff have asked for them or because competitors are talking about them. That is not a plan.

          The useful question is simpler: which repetitive task is expensive, slow or error-prone enough that an approved AI tool can improve it without creating a new data, compliance or cyber security problem?

          Start with the work that gets repeated

          Common starting points are document drafting, meeting actions, customer-service triage, reporting, internal knowledge search, data capture and approval workflows. We map the current process before deciding whether Copilot, Power Automate, a custom app or no AI at all is the sensible answer.

          Useful AI

          A defined task, a known owner, approved data, human review where it matters, and a way to measure whether the work is actually better.

          Expensive AI theatre

          Licences assigned widely, no policy, messy SharePoint permissions, staff using personal accounts and no idea where business information is going.

          02

          What Remedian delivers under AI Solutions

          We do not sell a generic ‘AI transformation’. We help you make a decision, set the guardrails, implement the right tool and keep it working after launch.

          Microsoft Copilot readiness and rollout

          Microsoft 365 permissions, SharePoint and OneDrive review, Entra ID, admin roles, sensitivity labels, user guidance, pilot groups and ongoing support.

          Power Automate and Power Apps

          Workflow automation and apps that remove manual chasing, repetitive data entry, spreadsheet hand-offs and approval bottlenecks.

          Azure AI and custom applications

          Scoped internal assistants, integrations and custom-built applications designed around a clear process, approved data sources and controlled access.

          AI security, GDPR and monitoring

          Approved-tool policy, shadow-AI controls, identity and device protection, integration checks, audit requirements and ongoing review.

          AI business automation and growth planning for Manchester SMEs
          AI is most useful when it is tied to a process, an owner and a clear improvement target.

          03

          AI use cases we are already helping businesses with

          The best starting point is usually not an AI strategy meeting. It is the work your team repeats every week: emails waiting for a first response, meeting notes that never become actions, information trapped in documents, or a process still being held together by a shared spreadsheet.

          We map the process, check the information involved and decide whether the answer is Copilot, an approved AI tool, Power Platform automation or a small custom application. Sometimes the answer is to change the process first.

          Microsoft Copilot for daily workDrafting emails, summarising documents, preparing first versions of reports and finding the right information across Microsoft 365, after permissions and sharing have been reviewed.
          Meeting intelligenceTranscription, useful meeting notes, action lists, follow-up drafts and a searchable record of decisions, with the right tool and retention settings for your business.
          Content, proposals and communicationsFirst drafts of proposals, customer updates, internal documents and marketing content, with a clear human-review step before anything leaves the business.
          Power Automate and Power AppsRouting requests, collecting data, moving work through approval steps and replacing email-heavy processes or spreadsheet trackers with an owned workflow.
          Approved ChatGPT and Claude usePractical rules for approved accounts, acceptable prompts, data boundaries and the use cases where a broader AI assistant makes sense.
          AI-assisted security monitoringUsing security platforms with AI-assisted detection, investigation and prioritisation alongside the human checks, response processes and logging that still matter.

          One workflow that works is worth more than ten pilots

          A useful first project has a named owner, a real time-saving target, clear input data and a way to tell whether it worked. We build from there.

          04

          Microsoft 365 Copilot starts with Microsoft 365 hygiene

          Microsoft 365 Copilot works within the permissions users already have. That is useful, but it can also make overshared SharePoint sites, open Teams channels and stale access more visible than before.

          We do not recommend rolling Copilot out before checking the data and permission model. The first job is usually to understand what is shared too widely, who has access because of an old role, how external sharing works and whether your information classification is meaningful.

          That security baseline is part of our Managed IT Support and Cyber Security services. It should be in place before a wider Copilot rollout.

          Permissions and sharing

          Review SharePoint, OneDrive, Teams, guest access, shared links and old security groups. Copilot does not need extra permission to surface content that was already overexposed.

          Identity and access

          Check Entra ID, MFA, Conditional Access, privileged accounts, leavers and device access before expanding a tool that works across everyday business information.

          Data protection

          Use the Microsoft 365 controls you already own, including sensitivity labels, retention and data-loss prevention where appropriate to your risk and licensing.

          Licensing and adoption

          Start with the people and processes that will use Copilot well. A controlled pilot gives you time to fix permissions, train users and measure whether it is saving time.

          Shared mailboxes need testing, not assumptions

          Copilot behaviour in Outlook depends on the Copilot experience, the Outlook client and the permissions in place. Microsoft documents some Copilot scenarios as primary-mailbox only, while Copilot Chat support for shared and delegated mailboxes is rolling out in newer Outlook experiences. We test the exact scenario in your tenant before building a process around it.

          Microsoft 365 Copilot readiness and secure AI support for Manchester businesses
          Copilot rollout begins with the information, permissions and Microsoft 365 controls already in your environment.

          Microsoft explains that Microsoft 365 Copilot uses existing permissions and security controls. Its current Outlook documentation also sets out the specific differences between primary, shared and delegated mailbox scenarios. Microsoft 365 Copilot data, privacy and security · Shared and delegated mailbox guidance.

          05

          Power Automate and Power Apps are often the better first move

          Not every problem needs a chatbot. A workflow that takes information from one approved system, checks it, routes it for approval and records the decision is often more useful than a prompt box.

          Power Automate and Power Apps are good tools for replacing repeat admin, internal forms, spreadsheet trackers and email-heavy processes. The hard part is not clicking together a flow. It is deciding who owns the data, what happens when an exception arrives and how the connection is secured.

          Where an automation relies on Microsoft 365 identity, devices or service processes, we keep it tied to the wider Managed IT Support plan instead of leaving it as an isolated project.

          Map the process firstWe document the starting point, hand-offs, exceptions, approvals and the system of record before building anything.
          Use controlled connectionsService accounts, access permissions and connectors are reviewed so a useful automation does not become a hidden security risk.
          Keep an audit trailThe person approving a change should be able to see what was requested, what the automation did and what happened next.

          Automate the boring part, not the accountability

          We use automation to prepare, validate, route and record. The business owner still decides what needs approval, what can be sent automatically and what must be checked by a person.

          06

          Azure AI and custom apps for work that does not fit an off-the-shelf tool

          Sometimes the right answer is not a broad public AI tool. It is a small internal application that handles one business process well.

          That might be a controlled knowledge assistant over approved documents, an internal triage tool, a workflow that extracts structured data from standard forms, or a custom application connected to an existing line-of-business system.

          Before an app reaches a critical system, we define the access model, test plan and assurance needed. For higher-risk builds, Penetration Testing can form part of that work.

          Narrow scope

          We start with a defined process, data source, user group and expected output. That keeps the build manageable and the risk understandable.

          Access controls

          The application should use the same identity, group and role controls you use elsewhere, not a shared password and an undocumented API key.

          Audit and support

          We design for logging, ownership, change control and support. A custom app that nobody can maintain is just a future incident.

          Human review

          Where an output can affect a customer, payment, employee or formal decision, we build the approval step into the process.

          Custom AI applications and business automation for Manchester companies
          Custom AI works best when it has one clear job, controlled data and an accountable owner.

          07

          AI policy and governance should answer the questions staff actually ask

          An AI policy is not a PDF that says ‘use AI responsibly’. Staff need clear answers before they are faced with a deadline and a blank prompt box.

          It should sit alongside your wider Cyber Security programme, with clear ownership across leadership, IT and the teams using the tools.

          Which tools are approved?Name the approved versions of Copilot, ChatGPT, Claude, meeting assistants or other tools. Explain why a personal account is not automatically approved for work.
          What data cannot be pasted?Define sensitive client data, credentials, HR information, financial data, special-category data, confidential contracts and internal security information.
          Where is human review required?Set the boundary for customer communications, proposals, recruitment, financial decisions, legal wording, pricing, compliance and any decision with a real-world consequence.
          Who can connect AI to systems?Control API keys, Power Platform connectors, browser extensions and AI agents that can access files, mailboxes or business applications.
          How do we record exceptions?Give staff a route to request a new tool or use case, rather than forcing them to work around the policy with an unapproved account.
          How often is it reviewed?AI tools, supplier terms and business use cases change quickly. The policy should have an owner and a planned review point.

          The ICO’s guidance covers how organisations should approach data protection when developing or deploying AI. Read the ICO AI and data protection guidance.

          08

          AI cyber security is about more than the chatbot

          AI changes your cyber risk in two directions. Staff can send sensitive data to the wrong place, and attackers can use AI to create more convincing phishing, social engineering and malicious content.

          Custom AI applications create their own risks too: exposed APIs, insecure integrations, stale keys, overshared data sources, poorly scoped agent permissions and weak audit trails.

          Shadow AI

          Staff using public tools or personal accounts because there is no approved route. The fix is a workable policy, an approved toolset and security controls around access and data.

          AI-enabled phishing

          Emails, websites and impersonation attempts are easier to produce at volume. Staff awareness and identity controls matter more, not less.

          Integrations and agents

          Any AI connection to a mailbox, CRM, SharePoint, finance system or internal database needs deliberate permissions, logging and change control.

          AI-assisted security monitoring

          We can help deploy and manage relevant security platforms that use AI-assisted detection, investigation and threat analysis. Those tools still need a defined response process, good logging and engineers who understand the environment.

          AI cyber security and data protection for Manchester businesses
          AI adoption needs the same identity, access, monitoring and data-protection discipline as any other business system.

          For broader security support, see our Cyber Security services, Cyber Essentials support and Penetration Testing.

          The NCSC advises senior leaders to understand the security risks and benefits of AI, and it stresses that established security basics remain important when integrating AI systems. NCSC guidance for leaders · UK AI Cyber Security Code of Practice.

          09

          Ongoing AI support keeps a good pilot from becoming another abandoned tool

          AI does not stand still after go-live. Staff ask for new workflows, permissions change, a useful prompt becomes a shared template, an integration needs updating, or a new model changes what the tool can do.

          Tool and licence administration

          Support for approved AI services, Microsoft 365 tenants, user access, pilot groups and role-based controls.

          Meeting and knowledge workflows

          Review the tools used for transcription, meeting summaries, action capture, searchable notes and follow-up drafting, including who has access and how long information is retained.

          Workflow maintenance

          Changes to Power Automate, Power Apps, connectors, approval steps and the underlying business process.

          Security and governance reviews

          Regular review of access, integrations, policy exceptions, sensitive data handling and new requests from teams.

          AI works best as part of a well-run IT environment. Our Managed IT Support service covers the practical foundations that make secure adoption easier.

          10

          Choosing Copilot, ChatGPT, Claude or a custom build

          There is no universal winner. The right tool depends on where your data is, the job you are trying to do, what your staff need, the supplier controls available and how much change you are prepared to manage.

          Starting point Usually a good fit What needs checking first
          Work already lives in Microsoft 365 Microsoft 365 Copilot SharePoint, OneDrive and Teams permissions; Entra ID; sensitivity and retention controls.
          Teams need AI writing, analysis or research tools Approved enterprise ChatGPT or Claude use Supplier account type, data handling, admin controls, approved use cases and staff policy.
          A repeat process crosses forms, email, approvals and systems Power Automate and Power Apps System of record, connector permissions, approval logic, service accounts and audit trail.
          A process needs a bespoke internal tool or controlled knowledge source Azure AI or a custom application Data source, user groups, access model, model choice, logging, support and change ownership.

          Do not pick a tool before you pick the use case

          We can help you compare the route properly. That includes the work to be improved, the data involved, the controls needed and the total effort to operate it after launch.

          Plan your AI rollout with a clear use case and the right controls

          Send the form and tell us where staff are losing time. We will start with the process, the information involved, your current Microsoft 365 and security position, and the right route for the outcome you want.

          • AI readiness and Microsoft 365 Copilot review.
          • Power Automate and Power Apps workflow opportunities.
          • Custom AI application and Azure AI scoping.
          • AI policy, GDPR, cyber security and shadow-AI controls.

          Plan your AI rollout

          Or call 0330 66 00 281 and ask to discuss AI Solutions.

          12

          AI Solutions for business: FAQs

          Do we need an AI policy before using ChatGPT, Claude or Copilot?+
          Yes. The policy should say which tools are approved, what information must not be pasted into them, who can connect them to business systems, where human review is required and who owns the review when a new tool is requested. We help turn that into practical rules staff can follow.
          Is Microsoft 365 Copilot safe to use with our company files?+
          Microsoft 365 Copilot works within the Microsoft 365 service boundary and respects the permissions users already have. That is useful, but it also exposes messy permissions and overshared SharePoint or Teams content. We review access, sharing, sensitivity labels, retention and admin roles before wider rollout.
          Can Copilot work with shared or delegated mailboxes?+
          It depends on the Copilot experience, Outlook client and the permissions in place. Microsoft documents different support and limitations across Outlook scenarios, and some newer shared-mailbox and delegate features are still rolling out. We test the workflow in your tenant before relying on it operationally.
          Can staff use ChatGPT or Claude for work?+
          They can use approved accounts and approved use cases, but not by default with whatever personal account they already have. The decision depends on your data, supplier terms, account controls, integrations and your internal policy. Staff need a simple answer about what they can and cannot paste into an AI tool.
          Can we use an AI meeting assistant?+
          Yes, where the tool, account controls, participant expectations, retention period and access to notes have been agreed. We help assess whether a meeting assistant is appropriate, set the guardrails and integrate it into the way your team works.
          How do you reduce shadow AI?+
          Start by giving staff a workable approved route. We map common use cases, approve the right tools, set data rules, tighten identity and device controls, and review risky connections or unapproved browser and SaaS use where your existing security tooling supports it.
          Can Remedian build custom AI applications?+
          Yes. We build scoped custom applications and Azure AI integrations for defined business processes. We start with the data source, user permissions, approval steps, audit trail and success measure, not an open-ended chatbot.
          Is AI support part of managed IT support?+
          It can be. We can support the Microsoft 365, identity, device, data protection and security foundations behind AI adoption, alongside ongoing AI governance, tool administration, automation support and changes to approved use cases.

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