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webvise
System 02

AI-assisted workflow automation that keeps humans in control.

webvise builds practical AI workflows for repeated operational work: document extraction, lead research, support triage, approval queues, reporting drafts, content operations, RAG systems, and custom assistants.

AI triagedocument extractionapproval queuessupport routingreporting draftscontent operations
Typical scopeWorkflow design, AI task boundaries, human review, data handling, integrations, safety checks, and monitoring.
Delivery shapeScoped around the workflow risk. Prototype first when model behavior needs validation.
Felix Rautenberg: A Claude Code Research Studio for a Documentary Producer
From a recent build · Felix RautenbergRead the case study

How webvise approaches it

The work starts by separating what AI should draft, classify, extract, or suggest from what a person should approve. webvise then designs the review loop, data flow, prompts, model calls, fallbacks, and operational interface around that boundary.

What you get

Your team gets a faster workflow without handing important judgement to a black box. AI handles repetitive steps, people stay responsible for decisions.

What the system can handle

  1. 01

    Document extraction and structured data capture from messy inputs.

  2. 02

    Support, lead, or request triage with confidence-aware routing.

  3. 03

    Approval queues where AI drafts and humans review before action.

  4. 04

    Reporting drafts, summaries, and internal handoff notes.

  5. 05

    RAG systems and custom assistants grounded in your own knowledge base.

  6. 06

    Monitoring, logging, and fallback paths for production use.

Common modules

Input capture from forms, inboxes, documents, or databases.

Prompt, model, and tool orchestration for the specific task.

Human review interface with approve, edit, reject, and escalate actions.

Structured outputs saved back into the system of record.

Evaluation checks, confidence signals, and error handling.

Analytics for throughput, accuracy, and manual override patterns.

Operational outcomes

Teams need a business system people can rely on every day.

01

Less repetitive manual processing.

02

Shorter response and handoff times.

03

More consistent triage, extraction, and reporting.

04

AI usage that is visible, reviewable, and operationally useful.

Questions teams usually ask

Only when the risk profile supports it. Most business workflows work better with human-in-the-loop automation, where AI drafts, extracts, classifies, or recommends and a person approves important actions.

Yes. webvise can build retrieval-based workflows and assistants that use your approved knowledge sources. Access control, data handling, and update processes are scoped up front.

The project starts from the workflow and business outcome. If AI does not improve speed, quality, consistency, or cost in a measurable way, it should not be the centre of the build.

Scope the system

Start from the workflow.

Share the process, users, integrations, data, and constraints. webvise will turn that into a clear build scope before implementation starts.

Discuss your project