Prioritize AI investments around real business needs.
AI strategy assesses workflows for value, feasibility, and data boundaries. ReklamKlik prioritizes pilots using success criteria and defines costs, human oversight, and operational responsibility in the same roadmap.
Let’s turn your needs into a clear work plan.
A demo can be impressive; making it useful in daily work requires different conditions. ReklamKlik reviews recurring tasks, data sources, and team expectations together. We prepare an actionable roadmap with measurable pilots, accountable owners, and decisions on how to proceed.
What will you have at the end of the work?
- Workflow and data inventory
- Prioritized pilot roadmap
- Cost and responsibility framework
Scope, delivery schedules and responsibilities are clarified together during the quotation stage.
Who is it for?
Businesses seeking concrete AI opportunities. Value and feasibility before tool selection.
Where should we start the conversation?
- Recurring tasks and decision needs
- Data and access conditions
- Team capacity and budget
What do we address together?
Implementations planned around your needs and the scope of each area.
Workflow and data inventory
We inventory recurring tasks, the data used, and decision owners. Tasks suitable for AI are distinguished from needs suited to rule-based automation.
Value and feasibility matrix
Business value, data suitability, and implementation costs are compared. Pilot candidates are assessed for operational workload as well as short-term impact.
Data and access risk assessment
We define the pilot’s data classification, access roles, and limits on transfers to external providers. Human oversight for sensitive records and irreversible actions is built into the design.
Pilot success criteria
Actual tasks, acceptance criteria, and stopping conditions are documented for the pilot. Success is not defined solely by the volume of output generated.
Cost and operations plan
We include model, integration, testing, and maintenance costs in total operating costs. Responsibility for content updates, error tracking, and user support after the pilot is assigned.
Human oversight and responsibilities
We document who verifies output, who takes over in exceptions, and which decisions will not be automated. Training and acceptance criteria are added to the operations plan.
A clear purpose and deliverable at every step.
From initial assessment to implementation, and from implementation to regular improvement.
Discovery and opportunity gathering
Recurring tasks, decision needs, and data sources are inventoried. Work that can be addressed with simple rules or automation instead of AI is identified separately.
Prioritization and pilot design
The pilot is selected through a value, feasibility, and risk matrix. The roadmap includes success criteria, cost ceilings, and human oversight.
Results and scaling roadmap
Pilot output quality and actual workload savings are measured. We recommend continuing, revising, or stopping alongside an assessment of maintenance and team capacity.
How do we assess success?
- Achievement of pilot objectives
- Verified workload savings
We compare task time, accuracy, intervention, and total usage costs before and after the pilot. A working demo is not evidence of business value; gains are verified through actual task examples.
Questions about AI Strategy and Roadmap.
Are definite results guaranteed in 90 days?
The schedule depends on scope; commercial results are not guaranteed.
Should AI be used for every task?
No. Simple automation may be more suitable.
Which task should be selected for the first pilot?
Priority goes to frequent tasks with accessible data and controllable errors. Value, integration costs, and team responsibility are assessed together.
Before choosing a service
ask the right questions.
Request a quote for your needs.
Share your goal and current situation. Let’s define scope, priorities and the next step together.
0543 862 94 05merhaba@reklamklik.com