Secure AI Integration Sprint
Buyer outcome
A bounded AI workflow built and delivered for Vietnamese businesses with clear system scope, defined data handling, permission boundaries, and human approval rules. Designed for Zalo, Facebook Messenger, CRM, helpdesk, and internal system integration. Written scope confirmed before any payment or build commitment — no unrestricted agents, no uncontrolled automation.
Why security-led AI integration matters
AI workflows connect directly to your tools, channels, and business systems — Zalo, Facebook Messenger, CRM, helpdesk, email, documents, and internal databases. Each connection introduces specific risks: excessive AI agency, unsafe tool access, prompt injection through connected channels, and system actions taken without human approval.
This sprint focuses on excessive AI agency in Zalo and Messenger channels where the AI autonomously confirms bookings, processes requests, or shares sensitive data without approval checkpoints, prompt injection risk via Vietnamese-language Zalo chat inputs, weak permission boundaries between customer-facing AI and backend CRM or order management systems, unsafe tool access where AI has write permissions to business systems without sufficient approval gates, and missing human approval points before the AI can act. Vietnamese e-commerce and logistics teams often connect AI to order management and inquiry systems — this sprint defines and enforces permission boundaries before that integration goes live.
BilgeQor's AI services are built around written scope, approved data sources, permission boundaries, human approval points, and review before wider rollout.
Scope drivers
Ideal for
- Vietnamese businesses ready to move from AI planning into a first controlled implementation
- E-commerce and social commerce teams wanting to connect an AI workflow to Zalo, Messenger, CRM, or helpdesk
- Logistics and freight businesses needing AI-assisted document request triage or client onboarding workflows
- Clinic and wellness teams wanting AI-assisted appointment inquiry handling with clear human handoff rules
- Operations, support, or service teams with repeatable, defined tasks
- Leaders who need written scope, permission boundaries, and human approval rules before any AI goes live
What is included
- AI workflow scope definition
- Integration boundary design
- Prompt and instruction architecture
- Knowledge source and tool-access plan
- Human approval and escalation rules
- Data handling and permission notes
- Test scenarios and launch-readiness notes
- Written implementation summary
What is not included
- Unlimited AI agents or unlimited workflows
- Unrestricted autonomous decisions or unscoped system actions
- Legal, financial, medical, or regulated decision automation
- Full CRM, ERP, or helpdesk rebuild
- 24/7 AI operations or live support staffing
- Formal compliance certification
- Payment or checkout before written scope is confirmed
Delivery process
Scope confirmation
Confirm the workflow, systems, tools, users, data context, and approval rules in writing before any build work begins.
Integration design
Define the AI workflow, tool boundaries, knowledge sources, permission controls, and human handoff rules — with specific attention to Zalo OA and Messenger channel configuration and connected backend systems.
Build preparation
Prepare the implementation structure, prompts, rules, test cases, and delivery notes.
Review and handoff
Walk through the agreed workflow, limitations, approval model, escalation rules, and next implementation steps.
Representative deliverable
AI Integration Scope, Permission Boundary and Test Scenario Pack
All AI services are request-first. Scope is confirmed in writing before any payment, deposit, or implementation commitment.
Frequently asked questions
Request a scope review
Tell us about your team, workflows, inquiry channels, and data context. We will respond with a written scope and confirmed deliverables before any commitment.