Manual work compounds hidden costs
Support, reporting, and handoffs keep senior people in low-leverage tasks.
Impact: Margin gets squeezed while teams still feel understaffed.
Signal: Cycle time keeps increasing even after adding headcount.
AI that works in operations, not just pilots. We build systems, software, and automation your team runs after we leave.
Real client results
Measurable outcomes delivered in a single sprint, not a six-month pilot.
Response Time
Client inquiries answered in hours, not days. No extra headcount.
Weekly Reporting
Automated pipeline pulls, transforms, and sends reports. Zero manual assembly.
Lead Qualification
Scoring, routing, and follow-up handled by AI. Hot leads flagged within minutes.
Execution friction
According to McKinsey, 70% of AI pilots never reach production. Gartner projects that by 2026, over 80% of enterprises will have deployed generative AI — up from fewer than 5% in early 2023. The bottleneck is operations, adoption, and sequencing — not model quality. Our 30-day delivery blueprint is designed to break through these barriers.
Common early signals
Support, reporting, and handoffs keep senior people in low-leverage tasks.
Impact: Margin gets squeezed while teams still feel understaffed.
Signal: Cycle time keeps increasing even after adding headcount.
Tools that ignore mixed data, approval gates, and Khmer-English handoffs fail after pilot.
Impact: Initial excitement fades once real teams own the workflow.
Signal: Usage spikes in week one, then plateaus or dies.
Without a ranked roadmap, teams cannot defend where budget and engineering should go first.
Impact: High-potential initiatives are delayed while low-impact work gets funded.
Signal: Priorities get reopened every sprint without commitment.
Build tracks
Four build tracks. One accountable partner. Systems your team owns from day one. As Harvard Business Review notes, organizations succeeding with AI focus on workflow integration, not model sophistication.
Track preview
Operational AI systems teams run daily.
Result focus
Reduce repetitive operational load while improving response speed and consistency.
Delivery mode
Fast discovery + iterative rollout, with measurable milestones every sprint.
Typical components
Why it matters
Most AI projects never reach production. We built the process so yours does.
The typical AI project
AI Angkor Intelligence
Ready to scope your first 30-day project? Start with a free AI audit
Delivery system
A focused sequence from diagnosis to deployment, built for execution speed. Each phase applies across our four build tracks.
30-day build loop
4 phasesDays 1-5
Map friction, blockers, and highest-leverage opportunities.
Structured discovery interviews across operations, product, and engineering. Each workflow is scored on automation potential, data readiness, and business impact using a weighted matrix.
Output: Opportunity map with ranked wins.
Auto loop
What happens in the call
00-05 min
Align on business goals and constraints
05-15 min
Identify high-friction workflows to fix first
15-25 min
Map architecture and realistic rollout path
25-30 min
Commit next steps, owners, and timeline
You leave with
FAQ
Direct answers so teams can decide quickly and move to implementation without ambiguity.
Still unsure?
Bring your current workflow. We will map a realistic first deployment path in one call.
Answer bank
7 itemsNo. Most engagements are designed for focused teams that need practical wins without enterprise overhead.
No. We start from your current data reality, then improve quality in stages while shipping usable outcomes.
Yes. Delivery is built for cross-functional teams across operations, product, and engineering.
You leave with a ranked opportunity map, an execution blueprint, and clear next actions your team can start immediately.
Most initial AI deployments follow our 30-day delivery blueprint: 5 days diagnosis, 7 days design, 10 days deploy, 8 days scale. Complex integrations may extend to 60-90 days.
We serve hospitality, finance, NGOs, retail, logistics, and professional services teams across Cambodia and ASEAN. Our custom AI systems are built for operational context, not theoretical models.
Yes. We have specific experience with Khmer NLP, Khmer OCR, and multilingual AI systems combining Khmer, English, and French for Cambodian business contexts.
Focused answers for teams planning real deployment.
Start here
30 minutes. You leave with a ranked opportunity map and a clear first deployment path.
Not ready for a call? Take the free 3-min AI Audit →