---
name: mengto/operational-enterprise-ai
source: https://app.decimal.ai/s/mengto-operational-enterprise-ai@1/SKILL.md
source_sha256: 660a0fdc399e
---

# Operational Enterprise AI

Build credibility by showing what the system does, where it stops, who approves actions, and how failures recover.

## Establish the Story

1. Open with the operational problem and one restrained product image or system trace.
2. Use a white interlude to quantify the problem with verified metrics.
3. Explain each capability as a workflow with permissions and controls.
4. Address security, governance, exceptions, and rollback before the conversion ask.
5. Move from verified case-study evidence into a qualified demo or waitlist handoff.

Replace source brands, customers, numbers, security badges, screenshots, and claims. Do not invent compliance or performance evidence.

## Build the Visual System

- Use near-black, warm white, muted gray, and one restrained spectral treatment.
- Pair a high-x-height sans-serif with compact mono labels and tabular numerals.
- Use hard grid lines, square media, low radii, and minimal shadow.
- Keep data legibility ahead of atmosphere.
- Reserve white chapters for operational explanation and metric pauses.
- Avoid glowing AI orbs, particle fields, neon gradients, and generic cyber-security imagery.

## Compose the Page

- Header: show product, solutions, security, case studies, and one qualified action.
- Hero: state the system boundary and pair it with one deliberate operational visual.
- Metrics: use only verified numbers with scope, source, and timeframe.
- Solution rows: summarize workflow, permissions, action, approval, output, audit, exception, and rollback.
- Product demo: show real or clearly labeled sample data and deterministic state changes.
- Security: connect controls to concrete risks; do not use unsupported badges.
- Case studies: separate verified implementation facts from marketing interpretation.
- Testimonials: use grayscale portrait evidence only when licensed and real.
- FAQ: resolve ownership, data handling, integrations, review, failure, and procurement questions.
- Final CTA: qualify who the product is for and explain what happens after submission.

## Implement Operational Solution Rows

- Keep summary, permissions, action, approval, output, audit, exception, and rollback in a stable data model.
- Use semantic disclosure with equivalent hover and focus cues.
- Support Enter and Space expansion and keep text equivalents for diagrams.
- Design loading, unavailable integration, insufficient permission, stale data, denied approval, partial completion, rollback, and error states.
- Keep the buyer able to evaluate scope and risk without animation.

## Implement the Case-Study Handoff

- Connect each verified use case to the relevant demo or waitlist context.
- Preserve attribution and separate facts, quotes, and inferred outcomes.
- Prefill only non-sensitive intent data and only with consent.
- Design filters, links, form fields, loading, disabled, duplicate, validation, network error, and success states.
- Explain who receives the request, expected response, and data use.

## Motion Defaults

- Use 160–220ms for controls and 500–760ms for section entrances.
- Favor slow background media, precise metric reveals, and restrained row transitions.
- Use hard black-to-white handoffs instead of gratuitous smooth scrolling.
- Keep parallax below 5%, pause offscreen work, and clean up observers.
- Render settled states immediately under reduced motion.

## Validate

- Review every metric, case study, quote, badge, and compliance statement against evidence.
- Test solution rows, filters, forms, errors, focus return, and browser history with keyboard and touch.
- Verify diagram text alternatives, contrast, 200% zoom, mobile order, loading, stale data, and reduced motion.
- Confirm the visitor can state what the product controls, what requires approval, and how rollback works.
- Remove unsupported security, availability, performance, accessibility, or compliance claims.

## Avoid

- Magical automation claims with no permissions or exception model.
- Fake dashboards, metrics, customers, badges, or case-study outcomes.
- Glowing AI orbs, particle clouds, and cyberpunk decoration.
- A generic sales leap from feature list to contact form.
- Hiding risk, audit, failure, or rollback details behind vague copy.