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Kensolations LLC

Demonstration

AI-Assisted Triage of Incoming Requests, With Human Approval

How an AI-assisted step summarizes and routes incoming requests while a person stays responsible for the decision.

Proof type: Process WalkthroughAI-Assisted WorkflowsAll demonstrations

The problem this addresses

Requests arrive in mixed formats and get read twice: once to understand them and again to decide who handles them. Detail gets lost between the two readings.

What the system does

  • A single capture point for requests arriving through different channels
  • An AI-assisted summary of the request in the business's own categories
  • A suggested route and priority, presented as a suggestion only
  • An approval screen where a person confirms, edits or overrides

Workflow

How It Runs, Step by Step.

Each step is described in text as well as in the diagram.

Process walkthrough

Human-in-the-loop

Flow diagram showing a captured request, an AI-assisted summary, a required human review step, and routing.: Request captured, then AI-assisted summary, then Human review, then Routed.

  1. 01

    Request captured

    Form, email or forwarded message

  2. 02

    AI-assisted summary

    Drafts a summary and suggested category

  3. 03

    Human review

    A person confirms, edits or overrides

  4. 04

    Routed

    The approved request moves to the right place

Example inputs

Sample — synthetic data

  • Forwarded message with mixed details and no subject
  • Attachment named with a date only
  • Existing category list used by the business

Example outputs

Sample — synthetic data

  • Sample summary in the business's own categories
  • Sample suggested route, shown as a suggestion
  • Sample audit record of who approved the routing

What this demonstrates

  • AI output is treated as a draft, never as an automatic decision
  • Every suggestion has a visible approval step and an audit trail
  • Categories stay the business's own rather than generic labels

This is a demonstration of capability, not a record of client work. No client data, client name or performance result is shown.

Human oversight

AI-assisted, not autonomous. Suggestions are drafts; accuracy is not guaranteed and a person approves every outcome.

Technology involved

  • AI-assisted workflow
  • Human-in-the-loop review
  • Routing

Related service

AI & Automation

Related business tool

Cross-App Workflow System

More Examples

Other Demonstrations.

Proof type: Capability DemonstrationBusiness Tools

Turning a Manual Quote Request Into a Structured Quote

A short structured intake form that produces a consistent, branded quote document instead of a hand-written email.

What it demonstrates

  • Business rules can be encoded once instead of repeated by hand
  • Generated documents stay consistent in wording, structure and branding
See how this works: Turning a Manual Quote Request Into a Structured Quote
Proof type: Capability DemonstrationWebsite Systems

Structuring a Business Website Around One Clear Customer Action

How a business site is organized so a visitor understands the offer and reaches one obvious next step.

What it demonstrates

  • Structure decisions are made before visual decisions
  • One primary action per page keeps the path obvious on phones
See how this works: Structuring a Business Website Around One Clear Customer Action
Proof type: Sample OutputReporting / Documents

A Structured Assessment Report Produced From a Short Form

An example scored report generated from synthetic answers, showing structure, tone and recommended next actions.

What it demonstrates

  • Scoring logic can be made explicit and repeatable
  • Reports can be comparable between clients and over time
See how this works: A Structured Assessment Report Produced From a Short Form

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