Enterprise AI tied to KPIs — not hype, not endless PoCs.
AI Audit · AI Agents · Enterprise RAG · Automation · Systems Integration · QA & Monitoring
Founded March 30, 2015 in Ho Chi Minh City. 200+ enterprise projects delivered across 10+ countries (Vietnam · Singapore · Australia · Belgium · Germany · UK · New Zealand · US · Norway · Japan). Since 2023 we've focused our enterprise software engineering on AI tied directly to revenue, operations, and customer-experience KPIs — for CIOs, CTOs, and CEOs who want measurable ROI, not demo-ware.
Engagement Model · 4 Phases
From strategy to production
- 01
AI opportunity assessment
ROI · FEASIBILITY · PRIORITY
- 02
Pilot with concrete KPIs
SPEED · QUALITY · COST
- 03
Systems integration
CRM · ERP · API · HELPDESK
- 04
Monitor & scale
SECURITY · GOVERNANCE · PERFORMANCE
RAG
Internal knowledge
AGENT
Process automation
API
Enterprise systems
Cross-border enterprise software experience
Named enterprise + mid-market accounts served
VN · SG · AU · BE · DE · UK · NZ · US · NO · JP
Delivered across enterprise and mid-market
Six AI service lines, all delivered to enterprise standards
From a 4-week paid audit to a multi-quarter rollout, every engagement is shaped by our software-engineering heritage and accountable to KPIs you can measure.
AI Audit & Implementation Roadmap
Process map, opportunity list, ROI estimates, a prioritized 12-month roadmap, and the execution plan for a defensible first pilot.
Read moreAI-Powered Workflow Automation
Replace repetitive operations, finance, customer-service, and cross-team handoff work with AI workflows measured in cycle time and cost saved.
Read moreCustom Enterprise AI Agents
Purpose-built agents for sales, support, and back-office — with policy-based human handoff, RBAC, and full audit logs.
Read moreEnterprise RAG & Knowledge Systems
Turn policies, SOPs, contracts, and institutional knowledge into a queryable knowledge system with citation-grounded answers.
Read moreAI Systems Integration
Wire AI safely into CRM, ERP, helpdesk, and internal portals — with auth, logging, and monitoring up to enterprise standards.
Read moreAI Training & Team Enablement
Bootcamps, champion programs, and executive briefings so your in-house team can operate, tune, and extend AI after the engagement ends.
Read moreFrom AI idea to production system
1. Discover
Identify business goals, bottlenecks, data sources, systems, and high-impact AI opportunities.
2. Prioritize
Rank use cases by business value, feasibility, risk, cost, and KPI impact.
3. Build
Design and develop AI workflows, agents, RAG systems, or integrations using enterprise engineering standards.
4. Integrate
Connect AI with CRM, ERP, helpdesk, internal tools, APIs, databases, and approval workflows.
5. Measure
Track adoption, accuracy, productivity, cycle time, cost savings, customer experience, and KPIs.
AI tied to measurable business KPIs
Revenue
Improve lead quality, sales productivity, pipeline acceleration, and customer insights.
Operations
Reduce manual work, shorten processing time, improve SLA compliance, and increase efficiency.
Customer Experience
Improve response time, service consistency, ticket resolution, and support team productivity.
Knowledge Access
Help employees find trusted answers faster from policies, SOPs, reports, documents, and internal knowledge.
Integration & Adoption
Connect AI to existing systems so teams can use it inside real workflows, not as a disconnected tool.
50+ specialists. Three AI disciplines.
Engineering-heavy by design — most of an enterprise AI engagement is software work. Products keeps scope honest, Growth keeps the engagement pipeline healthy.
- 3060% of headcountAI Engineering
Production builders — RAG, agents, integrations, ops.
- 1224% of headcountAI Products
Solution architects, PMs, designers, evaluation specialists.
- 816% of headcountAI Growth
Enterprise sales, customer success, marketing, partnerships.
AI-native, pragmatically enterprise.
Frontier LLMs where they earn their cost; battle-tested infrastructure underneath. Java + Python on the back end, React + React Native on the front. We pick per use case — no fixed allegiance to any vendor or framework.
- Claude · GPT · Gemini
- PhoBERT · BGE-M3
- LangChain · LlamaIndex
- Python · FastAPI
- Java · Spring Boot
- Node.js · Next.js
- React · React Native
- TypeScript
- PostgreSQL · pgvector
- Qdrant · Weaviate
- AWS · Azure · GCP
- Docker · Kubernetes
- Salesforce · SAP · Zendesk
- Vibe coding
Engagement models
Start small. Scale with confidence.
AI Audit Sprint
A focused assessment to identify practical AI opportunities, readiness gaps, and a prioritized roadmap.
Best for: companies that want clarity before investing in AI development.
First AI Pilot
Build and validate one high-impact AI use case with measurable KPIs, real users, and production-readiness planning.
Best for: teams ready to move beyond strategy into implementation.
Enterprise AI Rollout
Scale AI workflows, agents, RAG systems, and integrations across departments with governance, monitoring, and support.
Best for: enterprises building long-term AI capability.
Built for multiple industries and use cases
Applying AI to the right workflows and knowledge unlocks real business impact.
Sales & Marketing
Lead scoring, CRM intelligence, campaign insights, customer segmentation, outreach personalization.
Customer Service
AI assistants, ticket triage, knowledge bots, response automation, and service quality improvement.
Operations
Document processing, approval workflows, reporting automation, internal task routing, and process optimization.
Knowledge Management
Enterprise RAG, internal search, policy Q&A, SOP assistants, and employee knowledge access.
Back Office
Finance, HR, compliance, admin workflows, document handling, and internal support automation.
Ready to turn AI into business results?
Start with a clear AI Audit & Implementation Roadmap. We help your team identify the right AI opportunities, prioritize high-impact use cases, and build a practical implementation plan tied to measurable KPIs.
Why IDS AI Solutions
Enterprise software engineering experience. Practical AI implementation.
Founded in 2015 in Ho Chi Minh City, we have delivered 200+ enterprise projects across 10+ countries. Since 2023, our focus has been helping enterprises turn AI into measurable business results through automation, AI agents, enterprise RAG, systems integration, and AI adoption programs.
Business-first approach
We start with your KPIs, challenges, and outcomes.
Practical and measurable
We focus on use cases tied to real business impact.
End-to-end implementation
From strategy and design to build, integration, and scaling.
Enterprise-grade delivery
Secure, scalable, governed, and production-ready.