AI / From use case to operation
AI solutions for business that can be validated
Friday Works designs AI solutions for business around a specific bottleneck, controllable data sources and measurable success criteria. We build a narrow pilot first, keep people in the approval loop and expand only when operational evidence is clear.
Best-fit scope
When does this service create value?
Internal knowledge assistants
Find and synthesise information from permissioned documents, with source references users can verify.
Sales and service assistance
Classify requests, prepare response drafts or suggest next actions within defined boundaries.
Content processing and review
Summarise, classify, extract or review large volumes of content with a managed exception workflow.
Deliverables
What your team receives
- 01
Use-case, data, risk and current-baseline assessment.
- 02
A prototype or pilot connected to a real workflow.
- 03
Quality criteria, output evaluation and guardrails.
- 04
Operational visibility, documentation and a recommendation to expand, adjust or stop.
Process
From business problem to operating system
01. Choose the problem
Prioritise repetitive tasks with testable inputs and one accountable process owner.
02. Prepare the data
Identify sources, permissions, sensitive information and a representative evaluation set.
03. Run the pilot
Introduce AI to a narrow scope with logging and human approval.
04. Measure & decide
Compare quality, time, cost and exceptions against the baseline before expanding.
Timeline
A roadmap shaped by scope and evidence
Use-case assessment
About 1–2 weeks to define the problem, data and measurement approach.
Focused pilot
Often 3–6 weeks depending on data access and integration requirements.
Production roadmap
Planned after the pilot based on observed quality, adoption, cost and risk.
Frequently asked questions
Before we begin
01Do we need perfect data before starting with AI?
No, but the team must know which data is trustworthy, who may access it and how output will be checked. A pilot can also reveal which data needs preparation before expansion.
02Do we need to train our own AI model?
Not necessarily. Many use cases work with existing models combined with instructions, retrieval and dedicated guardrails. The choice depends on quality, cost and control requirements.
03Does Friday Works guarantee ROI?
We do not promise an outcome without a baseline and operating evidence. The pilot measures quality, time, cost and risk so the business can make an informed decision.
Talk to Friday Works
Find an AI use case worth testing
Start with the workflow consuming time, the data available and the result that needs to improve. We will help define a pilot with clear boundaries.
Describe your project