Choose a task and a success criterion
Define what the workflow should produce, which inputs it may use, and who reviews the output. Identify unacceptable errors and the point at which the system should stop or ask for help.
AI Pipelines & Agent Workflows
AI workflows with sources, review and clear boundaries.
DababonPro designs AI-assisted operations around a defined job: finding business knowledge, preparing a draft, classifying a document, or routing work to the right person. People retain review and approval where judgment is required.
Tell us what you need to buildWho it suits
Start with the process you need to improve.
For teams with repeatable information tasks and accessible source material. Start with a bounded task that can be evaluated against real examples rather than an unrestricted agent with unclear responsibilities.
What we work through with you
Ground knowledge work in sources
For retrieval-assisted search, plan how documents are made available, how relevant passages are retrieved, and how source references accompany answers. The workflow must respect the access boundaries of the source material.
Keep decisions reviewable
Drafting, summarizing, classification and routing can prepare work for a person. Review queues, permissions and clear status changes make it possible to accept, correct or reject an output before it affects the next step.
Evaluate failure and recovery
Use representative examples to review output quality and missing-information behavior. Plan what happens when a source is unavailable, an integration fails, or the system produces an uncertain answer.
Common questions
Before starting a project
Does an AI workflow remove human approval?
No. Review and approval are part of the design when a decision needs judgment. The workflow should identify who is accountable and how an output can be corrected.
Are the public demos live AI predictions?
No. The lead qualification demo uses pre-authored sample data and illustrative scores. It is a way to explore workflow structure, not evidence of predictive performance.
Define a useful first build.
Scope, timing and cost depend on the workflow, integrations, records and review requirements. Share what you use today, where work gets stuck and what a better outcome would look like. Discovery establishes the boundaries before implementation.