AI assistance for Scottish businesses

Use AI to help people work with information

AI can help with drafting, summarising and finding relevant material when the task and its boundaries are clear. Stratiis helps organisations choose a practical use case, review the information and access it needs, and test whether people can verify the output before it is used.

What is AI assistance at work?

AI assistance uses a tool to help a person draft, summarise, organise or locate information for a defined task. The person remains responsible for checking facts, context, permissions and the final decision. A useful pilot measures whether the assistance improves the work while keeping information handling and review under control.

Potential value

Help teams spend more time on the work that needs judgement

The best starting point has a clear task, an accountable owner and output that can be checked.

Faster first drafts

Help people structure routine text for review and editing.

Clearer summaries

Condense approved material while preserving a route to its source.

Easier discovery

Help users locate relevant information in permitted sources.

Measured learning

Compare quality, effort and user experience with the current method.

Pilot design

What should an AI assistance plan include?

Work back from the business task and the information needed to complete it safely.

Area Question to answer Useful output
Use case Which specific task needs help, and what is the current baseline? Defined task and success measures.
Audience and owner Who uses the tool, who reviews results and who decides whether to expand? Named roles and decision rights.
Information Which sources are relevant, current and permitted for this use? Source inventory and quality actions.
Data handling What may be entered, retrieved, stored or shared under the chosen service terms? Acceptable-use and information rules.
Access Do users and the tool have only the permissions needed? Access review and controls.
Review How will a person check accuracy, context, citations and sensitive details? Verification and escalation process.
Testing How do normal tasks, difficult cases and unsuitable outputs perform? Pilot scenarios and findings.
Support Who handles guidance, issues, changes and withdrawal if the pilot fails? Support and change plan.

Tool selection and licensing should follow the use case, the organisation's information rules and the provider's actual terms.

Practical starting points

Where can AI assistance be tested?

Choose work where a person can compare the result with a reliable source and make the final call.

Drafting support

Prepare a first draft of an internal update or routine document for an authorised person to edit.

Explore drafting support →

User readiness

Give teams clear guidance on permitted tasks, review responsibilities and how to report concerns.

Explore user readiness →

How support starts

From a defined task to an evaluated pilot

Keep the first test narrow enough to learn from real users and outputs.

1

Choose

Define the task, owner, baseline and how a useful result will be judged.

2

Prepare

Review sources, permissions, provider terms and guidance for human checks.

3

Test

Try representative cases, record errors and compare effort and quality.

4

Decide

Fix gaps, refine the scope or stop; assign support before wider use.

Automation, Data and AI Readiness helps assess the process and information foundations for the pilot.

People and safeguards

Keep a person accountable for the output

AI-generated text can sound confident while being incomplete or wrong. The review needs to match the impact of the task.

Business review

The task owner sets the acceptable use and quality bar. Users check source material, missing context and wording before acting on or sharing an output. Important decisions stay with authorised people.

Task owner
Human reviewer
Information owner
Support contact

Information controls

Review access to connected content, sensitive data handling, retention and sharing before a pilot. Limit the scope to material the users may legitimately see and use.

Cybersecurity Services can help assess the controls around information and access.

Pilot checks

What should users test before wider use?

Include the cases that could produce a misleading answer, not just easy examples.

Check What to look for
Accuracy Claims can be verified against trusted sources; invented details are identified.
Completeness Important caveats, dates, exceptions and opposing evidence are preserved.
Access The tool does not reveal information beyond the user's permissions.
Sensitive content Input and output follow agreed rules for confidential or personal information.
Difficult prompts Ambiguous or incomplete requests lead to a usable review route rather than blind acceptance.
Time and effort Drafting plus checking takes less effort or improves quality compared with the baseline.
User experience People understand the tool's limits and know when to ask a colleague.

Record failures and workarounds. If a result cannot be checked appropriately, the task may be unsuitable for the pilot.

After the pilot

Turn findings into a supportable way of working

Wider use needs a clear owner, current guidance and a way to revisit the controls as sources and tools change.

Document

Record permitted tasks, data boundaries and review steps.

Train

Show users how to verify results and report problems.

Monitor

Review quality issues, feedback and changes in source content.

Reassess

Check the benefit and risks before expanding the scope.

Technology Roadmaps can sequence improvements to data, access and systems that a pilot reveals.

Related Stratiis services

Connect AI assistance to your wider technology plan

Readiness depends on information quality, security, adoption and a practical route for project decisions.

Frequently asked questions

AI assistance explained

What can AI assistance help with in a business?

It can help people draft, summarise, organise and locate information for defined tasks. The suitability depends on the sources, permissions, risk and ability to check the result.

Where should we start with AI?

Choose a narrow task with an owner and a measurable baseline. Review the information involved, set rules for use and human verification, then test with representative users before expanding.

Can AI outputs be trusted without review?

No. Outputs can contain mistakes, omit context or present unsupported claims. A person should verify important facts and the final result against suitable sources before it is used.

How do we protect confidential information?

Agree what may be entered and connected, who can access it, and how the chosen service handles, retains and shares data. Apply the organisation's information and security rules before testing sensitive content.

Does AI assistance replace workflow automation?

They serve different tasks. A defined approval or handoff may work well with rule-based automation. AI can help with less structured information, with an appropriate review step. Some processes may combine them.

Do we need all our data cleaned before a pilot?

Focus first on the sources the chosen task needs. Identify their owner, quality, permissions and gaps, then decide whether those gaps prevent a useful test.

How do we measure whether the pilot worked?

Compare time, output quality, correction effort and user feedback with the current process. Record errors and the effort required to review them, as well as any benefit.

Can Stratiis work with our internal IT team?

Yes. Your team can lead the programme while Stratiis provides agreed discovery, information, security, project or co-managed IT support. Responsibilities and product-specific work should be defined for the pilot.

Discuss a practical pilot

Choose an AI use case you can evaluate

Tell us which task takes time and where the relevant information lives. We can discuss a focused test and the safeguards it needs.

Book a consultationContact Stratiis