AI Chatbots & Support Agents
Design internal knowledge assistants, customer support copilots, FAQ bots, action suggestion flows, and ticket assistance using RAG and system integrations.
AI & Automation
Design and implement AI automation that works in real operations—not just in demos
ARIS Vietnam helps global companies plan, validate, implement, and improve AI automation across chatbots, AI agents, AI+OCR document processing, automated reporting, and AIOps.
Successful AI initiatives need more than a model. They need clear use cases, measurable KPIs, integration with existing systems, governance, cost control, and an operating model that keeps improving after launch. We help teams move from PoC to production with that full picture in mind.
Cover discovery, PoC, production rollout, and continuous improvement
Support RAG, OCR, workflow integration, auditability, and cost control
Coordinate requirements, reporting, and ROI discussions in English
Overview
Overview of AI Automation
AI projects often stall not because the model is weak, but because the use case is unclear, evaluation is missing, integration is deferred, or operations and governance are left undefined. ARIS Vietnam helps teams turn AI into a practical operating capability—from prioritizing the right workflow to running it safely at scale.
Prioritize use cases based on business impact, manual effort, and operational feasibility
Use PoC to measure quality, repeatability, effort saved, and cost before scaling up
Connect AI to APIs, databases, workflows, and internal tools so it becomes usable
Build governance, observability, and cost guardrails from day one
Use Case Coverage
Coverage Areas
We help organizations apply AI to practical workflow bottlenecks—not only to chat, but also to document-heavy operations, reporting, and monitoring environments.
AI + OCR Document Automation
Classify documents, extract fields, validate confidence thresholds, trigger human review, and connect extracted data into workflow and database operations.
Automated Reporting & Summarization
Automate recurring reports, summaries, comparisons, variance detection, and next-action recommendations for management and operations teams.
AIOps & Operational Intelligence
Use AI to detect anomalies, reduce alert noise, support incident triage, identify trends, and improve monitoring operations over time.
Scope of Services
Scope of Services
We support the full lifecycle of AI automation, from use-case design to production operations.
1. Current-state assessment & business alignment
- Clarify target workflows, pain points, constraints, KPIs, and ROI expectations
- Separate what should be automated, what should remain human-led, and where exception handling is needed
2. Use-case design & solution architecture
- Select the right mix of LLM, RAG, OCR, rules, workflow logic, and integration patterns
- Define access, auditability, security boundaries, and operational ownership early
3. PoC implementation & evaluation
- Build a lean proof of concept quickly and test quality, repeatability, effort saved, and cost
- Deliver a Go/No-Go view plus next-phase recommendations
4. Production implementation & integration
- Implement APIs, databases, admin screens, notifications, and workflow connections
- Make AI usable inside real business operations—not as a standalone experiment
5. Governance, safety & cost control
- Design prompt/config management, masking, retention rules, transmission boundaries, and audit logs
- Establish permissions, usage tracking, and cost guardrails from the start
6. Operations design & performance reporting
- Set up exception handling, human review paths, operational workflows, and reporting rhythms
- Visualize KPIs, output quality, usage, and cost for stakeholders
7. Continuous improvement & rollout expansion
- Manage backlog, change requests, quality tuning, and use-case expansion over time
- Scale from one validated workflow to broader team or department adoption
Packages
Service Packages
We can start small and scale responsibly, depending on where you are in the AI adoption journey.
Starter1–2 MM / month
Validate one focused use case
For teams that want to test feasibility and business value before committing to a larger rollout.
- Align on use case and KPI assumptions
- Run a lean PoC with evaluation criteria
- Recommend whether and how to move into production
Standard3–4 MM / month
Implement production-ready workflow automation
For teams that have a validated idea and need real integration, governance, and operations.
- Connect AI with APIs, databases, and workflow logic
- Set up auditability, permissions, and cost controls
- Define runbook, reporting, and review cadence
Growth5 MM+ / month
Expand across teams and workflows
For organizations that want to scale AI adoption systematically and manage continuous improvement.
- Operate an improvement backlog and CR workflow
- Add new use cases and improve existing output quality
- Track KPI/ROI and scale across departments
* Package sizing is indicative. Final structure depends on process complexity, data sensitivity, governance requirements, and system integrations.
AI Tech Stack
AI Tech Stack
We choose the right technical building blocks based on business goals, safety requirements, and operating constraints.
LLM / RAG / Agent Orchestration
Support knowledge-grounded answers, workflow reasoning, and response quality control.
OpenAIAzure OpenAIRAGLangChainPrompt ManagementAgent Workflow
OCR / Document / Workflow Automation
Structure document-heavy operations with extraction, validation, routing, and review paths.
OCR EngineDocument ParsingValidation RulesHuman ReviewWorkflowDB Registration
Integration / Governance / Operations
Build for observability, auditability, and safe usage in production environments.
API IntegrationDatabaseAudit LogAccess ControlUsage TrackingCost Guardrails
Implementation Approach
Implementation Approach
AI automation works best when teams separate validation, rollout, and ongoing improvement clearly.
Clarify business problem and solution approach
Define target workflows, KPIs, constraints, evaluation criteria, and the right AI architecture for the use case.
Use PoC to prove value, then connect to operations
Validate outcomes through PoC, then implement integrations, governance, admin controls, and production workflows.
Run, measure, and expand
Review KPI, quality, cost, and adoption regularly while improving outputs and expanding to adjacent workflows.
Why ARIS Vietnam
Why Teams Choose ARIS
We help teams move from AI experimentation to repeatable business operations.
Business-first requirements alignment
We start by clarifying process goals, operating realities, constraints, and expected outcomes—not by jumping straight into tools.
Designed beyond the PoC stage
We define rollout conditions, governance, and operating ownership early so successful pilots can actually go live.
Strong implementation and integration capability
We do not stop at prompts or prototypes. We build APIs, databases, admin tools, workflows, and production-ready connections.
Governance and safety by default
Permissions, audit logs, data handling policy, usage visibility, and cost limits are built into the design from the beginning.
Phased rollout that reduces risk
We help teams start with one focused workflow, validate business value, and expand responsibly.
Ongoing support and improvement
We support review cycles, tuning, backlog management, KPI tracking, and the next wave of AI adoption.
FAQ
FAQ
Common questions we receive when teams begin planning AI automation.
Yes. We can start with the business problem, KPI assumptions, and operational constraints, then validate options through a PoC.
We define evaluation criteria, test scenarios, repeatability checks, and human-review fallback paths from the early stages.
Yes. We design masking, retention policy, transmission boundaries, access control, audit logs, and usage visibility into the solution.
Yes. We design around APIs, databases, internal tools, workflow engines, and admin interfaces as needed.
A focused PoC typically takes around 2–4 weeks, including evaluation and next-step recommendations.
Yes. We support monthly review, quality tuning, cost optimization, backlog management, and rollout to additional workflows.
Related Services
Shall we review your AI automation roadmap together?
If you can share the target process, KPI expectations, existing systems, security constraints, and the current team setup, we can propose a practical plan for PoC, rollout, and continuous improvement. Feel free to contact us even at the planning stage.