Automation and AI planning in Scotland
Start with the work and information that need improving
Automation and AI can help when the underlying process, data and ownership are clear. Stratiis helps Scottish organisations assess readiness, choose a useful first case and plan the technical and people changes needed to test it responsibly.
What is automation, data and AI readiness?
Readiness is the practical ability to use automation, reporting or AI for a defined business task. It means the process has an owner, the relevant information can be found and trusted, access is appropriate, risks are understood and results can be checked. A readiness review identifies gaps before the organisation commits to a wider rollout.
The business outcome
Build useful improvements on reliable foundations
A clear problem and measurable result help teams decide where technology can add value.
Less repetitive work
Find tasks that follow stable rules and consume avoidable staff time.
Better information
Improve how records are structured, accessed, checked and maintained.
Safer experimentation
Set boundaries for data, access, review and approval before a pilot.
Visible value
Compare the result with time, quality, cost and user experience measures.
Readiness review
What should an automation and AI readiness review include?
Technology selection follows an understanding of the work, information and controls already in place.
| Area | Questions to answer | Useful output |
|---|---|---|
| Business case | Which task or decision needs improvement, and how is it handled today? | Defined use case and success measure. |
| Process | Are the steps, exceptions, approvals and handoffs understood? | Process map and ownership. |
| Data | Where is the information, how accurate is it and who maintains it? | Data inventory and quality actions. |
| Access and security | Who may see or change information, and what controls are needed? | Permissions and risk review. |
| Systems and integration | Which applications, licences and connections are required? | Technical dependencies and options. |
| People and measurement | Who reviews outputs, supports users and checks whether the change helps? | Pilot, guidance and evaluation plan. |
The review should record assumptions and information gaps so the pilot starts with a realistic scope.
Choose the right kind of change
Automation, reporting or AI: what fits the task?
Different problems need different approaches. Some can be improved without AI.
Workflow automation
Use defined rules to route requests, approvals or repeatable handoffs.
Reporting and data
Bring reliable information together so teams can see activity and trends.
AI assistance
Test drafting, summarising or finding information where a person can verify the result.
Information governance
Clarify ownership, permissions, retention and quality before wider use.
Project delivery
Coordinate a pilot, supplier actions, user testing and decisions.
Longer-term roadmap
Sequence data, process and technology improvements over time.
How support starts
From a defined problem to a measured pilot
Start small enough to learn, with the right people able to review outcomes.
Discover
Choose a business task, map the current process and set a baseline.
Prepare
Review data, access, systems, ownership and acceptable use.
Pilot
Test with representative users and record quality, exceptions and effort.
Decide
Compare results with the baseline and plan improvement or wider use.
IT Project Management can coordinate scope, risks, suppliers and acceptance criteria for the pilot.
Information foundations
Make data usable before expecting trustworthy outputs
Information quality and permissions affect every reporting, automation and AI use case.
Find and organise
Identify the records needed for the task, where they live and who owns them. Check duplicates, outdated content, inconsistent formats and gaps. Agree which source should be trusted.
Protect and maintain
Review who can access information, how changes are recorded and how the source will remain accurate. Keep sensitive information out of a pilot unless its use and controls have been agreed.
Cybersecurity services can help review the controls around data and access.
Pilot selection
Which use cases are good candidates to test first?
A first pilot should solve a clear problem while remaining practical to evaluate.
| Selection question | What a useful answer looks like |
|---|---|
| Is the task frequent? | Enough volume exists to show whether time or quality improves. |
| Can success be measured? | Current effort, errors, turnaround or satisfaction can be compared. |
| Is the information available? | The required source can be accessed, checked and maintained. |
| Are exceptions known? | Unusual cases and approval points are understood. |
| Can a person review the result? | Outputs can be checked before they affect customers or important decisions. |
| Is there an owner? | A named team can make decisions, provide feedback and support adoption. |
Some tasks are better fixed by simplifying the process or improving the underlying system. A technology roadmap can place those foundations before wider automation.
Governance and adoption
Who checks the output and owns the change?
People need clear rules for when to use a tool, which information may be entered and how results are reviewed. The pilot owner should record issues, measure outcomes and decide whether the process should change. Training and support matter as much as the initial configuration.
Business owner
Defines the task, acceptable result and decision points.
Information owner
Maintains data quality, permissions and appropriate use.
Technical owner
Manages integration, security settings and support responsibilities.
Users and reviewers
Test real work, verify outputs and report exceptions.
Related Stratiis services
Connect a pilot to wider technology planning
Readiness work often reveals improvements needed in processes, information or systems.
Projects & Digital Transformation
Define the business outcome and coordinate connected changes.
Microsoft 365 Services
Review collaboration, information structure and adoption.
Technology Roadmaps
Sequence process, data and system improvements.
Co-managed IT
Add project and technical capacity alongside an internal team.
Frequently asked questions
Automation, data and AI readiness explained
What does AI readiness mean for a business?
AI readiness means having a defined use case, suitable information, appropriate access and security, an owner, a way to review results and a measure of whether the tool helps. It does not require every system to be replaced first.
Where should an organisation begin with automation?
Start with a repetitive task that has a clear owner and stable steps. Map exceptions and approvals before choosing a tool, then test the change against a baseline.
How is automation different from AI?
Rule-based automation follows defined steps and conditions. AI can help generate, classify or summarise information, but its outputs need appropriate checking. Some projects use both.
Do we need to clean all our data before a pilot?
No. Focus on the information the chosen task needs. Identify its owner, quality issues, permissions and source of truth, then address the gaps that could affect the pilot.
Can Microsoft 365 be part of the plan?
Yes. Existing collaboration, document and identity services may be relevant. The suitable features, licences, information structure and controls should be reviewed for the specific use case. See Microsoft 365 services.
How do we protect sensitive information?
Agree what information may be used, who can access it, where it is processed, how it is retained and who reviews the outputs. Apply appropriate technical and organisational controls before testing with sensitive data.
How do we know whether a pilot worked?
Compare the result with the original task using measures such as time, accuracy, turnaround, user feedback and support effort. Record exceptions and the cost of maintaining the new process.
Can Stratiis work with our internal IT team?
Yes. Your team can own the programme while Stratiis provides agreed discovery, technical, project or co-managed IT support.
Discuss a practical first step
Choose a useful starting point for automation and AI
Tell us which process or information problem you want to improve. We can discuss readiness, a pilot scope and the next decision.
