Research workflows
Select and inspect relevant sources.
aiqorxAI & intelligent workflows / Agentic AI
Agentic systems combine model reasoning with tools and state to work toward a bounded objective.
Talk through your project
A connected engineering approach
People, tasks, accessibility
Components, logic, integrations
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Select and inspect relevant sources.
Prepare or execute narrowly permitted actions.
Coordinate intermediate results with clear stopping rules.
02 / Architecture
Limit tool access, record state transitions, and require review for consequential actions. Prefer deterministic steps where the path is known.
Autonomy adds failure modes. Set budgets, retries, and completion criteria before giving a system more freedom.
03 / Delivery & care
Evaluate representative inputs alongside ambiguous, adversarial, and unsupported requests. Track quality, latency, cost, and human corrections against a defined acceptance set.
Review the users, existing systems, constraints, and definition of success.
Document the architecture, interfaces, risks, and delivery scope.
Review working increments against real use cases and failure conditions.
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Autonomy adds failure modes. Set budgets, retries, and completion criteria before giving a system more freedom.
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's build