Make AI useful in everyday work.

VTAGI Solution Company Limited (匯霆智創有限公司) is a Hong Kong AI Deployment Engineering company. We start with real work and connect data, rules, systems and team adoption into one inspectable delivery process.

See how we make delivery evidence visible

DELIVERY SAMPLE · FICTIONAL SCENARIO

Delivery sample: from service request to completion

This in-house sample shows what a delivery plan makes explicit. All data and scenarios are fictional; they do not represent a client, deployed system or measured result.

Expand the workflow, acceptance, control and launch examples.

01 Workflow and ownershipWorkflow Map

Today: An operations colleague reads an email and PDF, copies fields into a request form and checks the CRM. Conflicting terms trigger messages to a manager.
Proposed flow: Receive → check sources and required fields → AI extracts and drafts → a designated manager reviews exceptions → approved information returns to the CRM → retain a processing record.
Ownership: Operations confirms inputs; a manager decides exceptions; the delivery team builds connections, checks and records. AI does not make external commitments.
Output: One work item holds the source documents, extracted fields, differences to review, owner and completion status, reducing repeated copying and chasing.

02 Acceptance cases and expected resultsAcceptance Criteria

Complete request: Input: all required fields are present and terms agree. Expected: each field links to its source; CRM updates require review.
Missing information: Input: a required field is absent from the PDF. Expected: flag the missing field and its owner; do not guess or mark the request complete.
Conflicting terms: Input: payment terms differ from current policy. Expected: show both sources and the difference, then wait for the designated manager.
Test status: These are expected behaviours, not executed tests. A real project separately records actual results, evidence, failures and reviewers.

03 Scope, approvals and exceptionsControl Plan

Data scope: Read only the approved request mailbox, attachments and designated CRM fields. Unauthorised sources do not enter the workflow.
Human approval: A designated manager decides payment terms, external commitments and source conflicts. Retain the reason for approval or return.
Stop conditions: Unverifiable sources, missing required fields or failed writes stop automatic progression and return the item to operations.
Exclusions: This sample excludes automatic payments, outbound email and bulk historical migration. Actual scope is agreed for each engagement.

04 What a launch record should retainLaunch Record

Version and scope: Record the deployed version, activation time, approved workflow and user scope so the team knows what changed.
Acceptance and approval: Link executed acceptance results, unresolved issues and the designated owner's approval. A demonstration is not acceptance evidence.
Recovery: Record how to stop automatic processing, resume the original manual flow and assign failed items to an owner.
Sample status: Not deployed. This illustrates record contents, not a real launch. Actual projects require verifiable versions, times and results.

From real work to an operational system.

Many AI projects are held back not by the model, but by scattered data, rules held in colleagues' heads and systems that do not connect.

VTAGI walks through the real work, identifies what AI can handle, where the team must decide and what success means, then builds a system that can be used in daily operations.

How we make engineering decisions

Work Evidence

Use work that actually happened to find the friction instead of relying on an ideal process or abstract requirements.

Acceptance Design

Define completion, unacceptable failures and exceptions before choosing the technology.

Control by Design

Design approval, exceptions, stopping and recovery into the workflow so the team handles only the decisions that need judgement.

Technology Independence

Choose technology for the work, data, replaceability and governance rather than treating a model or brand name as proof of outcomes.

Trust Boundaries

No fixed ROI or unverified performance claims
No autonomous high-impact decisions without defined human oversight
No customer confidential or personal data submitted through the public website or source repository
No implied partnership, certification or client relationship without written evidence

Bring one recent problem and see whether it can become a deployable project.

Start with one recent, real workflow and decide whether the next step is worth pursuing.

Message us to book a free call Free 20-minute introductory call · Start with one real workflow