Improve an existing AI system
Establish a baseline for answer quality, response time and cost. Test changes against representative tasks.
Improve the AI systems you already use, connect them to your business tools, or build a custom workflow around a task your team handles every day.
Establish a baseline for answer quality, response time and cost. Test changes against representative tasks.
Connect approved applications and data sources, then define what the workflow can read, write, or route for approval.
Choose a recurring process. Build a pilot that produces a useful output, handles exceptions, and hands decisions to the right person.
Bring in AI engineering capacity for a defined project, with clear roles, delivery milestones, and ownership.
Each example starts with a specific input and ends with a usable output or a clear handoff.
Incogneka assembled and deployed a specialist engineering team to support an ongoing AI Engine Optimization project for a UAE ceramics manufacturer.
Read from selected systems, forms, or documents.
Extract, compare, or summarize within agreed permissions.
Send the result or an exception to the person who owns the decision.
Agree the inputs, systems, ownership, and baseline.
Check output accuracy, exception handling, and approval steps.
Compare results against agreed measures before deciding how to roll out.
Start by listing the systems you already use and how they expose data. We assess which connections are feasible and agree the scope with you.
Yes. Identify the actions that require review, such as sending a message, releasing a payment, or approving a vendor, so they can be built into the workflow.
Yes. One well-defined process gives you a clear baseline and a practical way to judge whether a wider rollout makes sense.
Tell us which task you want to improve, which tools it touches, and what a useful result would look like. We’ll use your brief to discuss scope and a practical first milestone.