06 / Practical AI
AI & Copilot. Start with a useful task.
Make AI part of a considered business workflow. ArcticTech helps assess Copilot readiness and AI-assisted intake, knowledge, routing and reporting use cases with data access and human review in view.
- Purpose
A defined task and outcome
- Knowledge
Relevant, permitted information
- Control
Review and action boundaries
- Evidence
Pilot criteria and feedback
The starting point
When the use case is clearer than the hype
A useful starting point is a repeated task with a clear input, expected result and person who can judge the outcome. Examples to assess include summarizing a request, suggesting a category or helping people find approved information.
The appropriate Microsoft Copilot or AI approach depends on the applications, data, permissions and licensing involved. We help define a bounded use case and the readiness work before treating it as a production workflow.
How we help
The work around the platform.
- Readiness & use-case selection
Review the task, users, source information and expected value. Identify data quality, access and process gaps that need attention first.
- Assisted workflow design
Explore intake, summarization, routing or knowledge assistance in the context of business applications. Decide which steps can be assisted and which require human approval.
- Governance & evaluation
Define permitted data, action boundaries and ownership with business and IT stakeholders. Plan representative test cases, review criteria and how incorrect outputs are handled.
The approach
Start small enough to evaluate
Choose the task
Describe the repeated work, the current effort and the decision an AI-assisted result would support.
Check readiness
Review information sources, user permissions, integration needs and the relevant product capabilities.
Evaluate a pilot
Test representative cases, including ambiguous or incomplete inputs. Compare results with the agreed acceptance criteria.
Decide the next step
Use the evidence to refine, expand or stop the approach. Agree operational ownership before production use.
Plan with the right information.
What shapes scope & cost
The selected Microsoft product, data preparation, integrations, usage volume and evaluation needs shape scope. Licensing and consumption costs need a separate review; a pilot should have a defined boundary.
Bring to the first conversation
- One task, sample inputs and expected outcomes
- Approved knowledge sources and access owners
- Review responsibilities and measures of usefulness
Before you begin
Questions about AI & Copilot enablement.
Do we need an autonomous agent to get value from AI?
No. A small assisted step, such as preparing a summary for review, may be enough. Start with the task and the level of control it needs. Add actions or autonomy only when the use case, permissions and evaluation support them.
Will Copilot automatically fix our data or permissions?
No. Identify what information users and the proposed workflow can access, review its quality and agree the intended boundaries. Readiness includes business ownership and information access; introducing AI does not replace that work.
How do we know whether a pilot is useful?
Define success before testing: for example, whether reviewers can use a summary, how often a suggestion needs correction and whether the overall task becomes easier. Include failure cases and review effort, not only the best demonstrations.
Talk with ArcticTech
Bring one task worth improving.
We’ll help examine the data, workflow and review steps that would make an AI-assisted approach useful.