AI & knowledge
Draft flows faster, interpret free-form replies, and answer from approved sources while every fallback remains explicit.
Demonstration workflow using a first-party Fluenta template.
Product detail
The durable value is controlled orchestration: a workflow decides where interpretation belongs and what happens when it is uncertain.
Use an AI draft to turn a described customer journey into a starting workflow. Review the nodes, branches, variables, and handoff paths before treating the draft as a usable operation.
The canvas remains the place where your team makes the final workflow decisions.
Use runtime interpretation for free-form replies that need a structured intent or value. Route the interpreted result into an explicit condition rather than letting a free-form answer decide the whole operation.
A visible branch keeps the next message, business action, or handoff reviewable.
Answer a customer from approved sources chosen for the workflow. A grounded answer can serve a policy, product, or support question while preserving the source boundary your team set.
Use knowledge where the source is maintained and the answer can stay within a defined customer journey.
A knowledge query that does not find an approved answer follows a defined not-found path. That path can ask a clarifying question, offer a different route, or hand the conversation to a person.
The customer receives a designed outcome instead of an unsupported guess.
Select the runtime option that fits the required answer quality and operating cost for the job. The workflow remains valuable because its branching, approved sources, and fallback paths stay explicit as model availability changes.
Review the intended task rather than treating a model brand as the product decision.
Prompt and behavioural controls will be documented when they are implemented. Until then, do not assume unlisted controls or rely on them as a workflow safeguard.
Keep the current safety boundary in the visible workflow branches and approved knowledge sources.
Evaluation and answer review will be described when they are implemented. For now, use simulator runs and workflow traces to review the paths around an interpreted or grounded response.
This keeps observable current behavior separate from planned product capability.
Treat customer content and approved sources as operational data with a defined purpose in the workflow. Limit what each integration receives through scoped tokens and use explicit paths for external operations.
Review what a node needs before routing captured variables or conversation content outside the workspace.
Use approved knowledge and interpretation where they help, then route uncertainty through a deliberate next step.
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