AI-Native Digital Product Consultancy For
Forward-Thinking Business
We help businesses worldwide embed AI into operations and build new AI-native products from the ground up.
TWO WAYS
WE PARTNER WITH YOU
Enosta helps two kinds of businesses. Pick the one that fits, and we’ll show you exactly how.
SOLUTION 01
AI Transformation In Digital Operation
You’re facing
- Fragmented AI experiments with no roadmap or governance
- Manual reporting & back-office work eating into margins
- Unclear where AI delivers ROI, or how to stay compliant
SOLUTION 02
AI-Native Product Development
You’re facing
- Need to ship an AI product fast, with no team to build it
- An investor or market deadline with quality on the line
- A PoC that won’t hold up under real users or scale
AI Transformation in Digital Operation
For SMEs and Enterprises that need AI-driven Digital Transformation. Embed AI into operations with governance, cost control, and measurable ROI.
AI Governance Assessment
For businesses looking to govern and systematize AI across the organization. A quick audit so the CEO knows how the team is using AI and whether there are any risks or how to optimize cost.
- Security, Privacy, Data & Cost governance audit
- AI Opportunity Map across departments, ranked by ROI
- Executive readout with your team
AI Adoption & Execution Plan
For businesses seeking a clear AI adoption roadmap with actionable execution plans, prototype visualization, and transparent investment costs. Invest smarter and measure real business impact.
- Governance framework & Adoption plan tailored for you
- Roadmap and budget estimation plan
- Tool selection, KPIs, and phased investment plan
Agentic AI System
For businesses ready to build and connect their entire system, enabling smarter automation and execution powered by their own secure, centralized enterprise data. You will have an intelligent unified system.
- Multi-step AI agents, not chat wrappers
- Integration into your ERP, CRM, HRIS stack
- Observability, audit trail, and team handover
AI Native Product Development
For funded founders and Heads of Innovation at SMEs building new business models. From MVP to production, AI-native from day one, with scalability and compliance built in.
Rapid MVP Launching
A fast, fixed-scope build that puts a working AI product in front of users and investors, so you validate the idea and hit your launch window without a full team.
- AI-accelerated prototyping without cutting code quality
- Rigorous testing that eliminates hallucinations and risk
- Verified prototype, investor deck assets, and a path to production
Full Product Build
End-to-end delivery from discovery to launch, production-grade and AI-native from day one, then handed over for your team to own and extend.
- Complex data, dashboard, and core features shipped fast
- Eval, observability, and a SOC2 path for zero-risk performance
- Logged tracking boards and complete team handover
AI Integration
Add AI to a product you already run without destabilising the codebase, shipping feature by feature so you can measure impact and unit economics as you go.
- Retrofit AI into admin and legacy codebases to cut overhead
- Feature-flagged rollout with no disruption or hallucination risk
- Cost-per-feature and operational ROI tracking as you scale
Industries we specialize in
Real Estate
Transportation & Logistics
Education
Finance
Healthcare
Legal & Compliance
Property intelligence powered by AI, from valuation models to tenant management:
- Automated property valuation
- Predictive maintenance systems
- Smart lease management
- Market intelligence dashboards
Logistics and mobility platforms with AI at the core:
- Route optimization engines
- Demand prediction models
- Driver/rider matching algorithms
- Fleet management automation
AI-powered learning and administration:
- Adaptive learning platforms
- Automated grading and assessment
- Student engagement analytics
- Administrative workflow automation
Audit trails and compliance with precision:
- Complete policy coverage automation
- Data sovereignty controls (region-hosted)
- Explainable risk modeling
- Audited AI workflows for regulatory compliance
Clinical and operational AI with strict privacy:
- Patient data analysis (HIPAA/GDPR compliant)
- Clinical decision support
- Medical records automation
- Telehealth AI integration
AI for legal review and risk management:
- Contract review and analysis automation
- Regulatory compliance monitoring
- Legal document intelligence
- Risk assessment and reporting
White-Label Shuttle Booking MVP Launched In 1.5 weeks
Launch a new white-label shuttle booking platform without diverting engineering; comparable launches took 3–5 weeks.
- Sequential, handoff-heavy process
- 4 disconnected stages: requirements → PRD → spec → sprint dev
- Each handoff adding days of back-and-forth
- Comparable launches took 3-5 weeks
- Comparable launches took 3-5 weeks
- Gap wasn't effort - it was the path from idea to code
Working alongside the team through ideation, spec drafting, and build, collapsing PM↔engineering handoffs into one continuous flow.
Cold Email Outreach Automation
Lead research and personalized email writing done manually per lead, capping daily volume and forcing a trade-off between speed and depth.
- Manual research per lead
- Hours spent per personalized email
- Speed vs quality trade-off
- Capped daily outreach volume
- Generic emails at scale
An AI agent reads leads automatically to research each company's website, branding, and fit score, then prioritizes and drafts personalized emails saved directly into Gmail for review and send. 90% time reduction per lead, at greater scale.
Automated Business Reporting
BDO spent half a day per reporting cycle on manual data reading, insight extraction, and write-up, leaving no time for deep analysis or visualization.
- Half-day per report on manual work
- Reading raw data across multiple sources
- Extracting and writing insights by hand
- Visualizations cut short to save time
- Gap wasn't skill, it was time budget
An AI skill ingests raw structured and unstructured data, extracts the insights that matter, and auto-generates polished analysis and visualizations in one pass. The full reporting cycle compressed from half a day into a single quick review.
Project Knowledge Centralized Into AI Graph With LLM Wiki
Documentation scattered across Google Docs, Lark, chats, and emails with no centralized source of truth, costing hours per person to hunt information.
- Docs scattered across Docs, Lark, chats, emails
- No centralized source of truth
- Hours wasted per person hunting information
- Decisions duplicated or lost, no version history
- Gap wasn't people, it was the missing knowledge graph
Raw project files auto-ingested into a fully linked knowledge graph where every document, decision, and thread is connected. Exposed via MCP so anyone can ask in natural language and get instant, source-backed answers.
Reduce AI costs 40% through centralized AI governance
Organizations share postpaid API keys with no cost visibility or buy individual subscriptions that go underutilized, creating unpredictable spending and zero governance insights.
- Shared API keys with no cost visibility
- Individual AI subscriptions often underutilized
- Unpredictable monthly AI spending
- No centralized usage or governance insights
- Gap wasn't demand, it was the missing control layer
One gateway captures every AI request, shares pooled capacity across employees, and enforces usage policies automatically. Real-time cost and consumption analytics surface optimization opportunities and training needs.
Employees find company knowledge10× faster with AI
Employees search across Lark Docs, Wikis, HR policies, and SOPs to find answers, slowing onboarding and creating inconsistent responses as company knowledge grows.
- Answers scattered across Lark, Wikis, SOPs, HR docs
- Employees rely on colleagues to find information
- Knowledge grows faster than search can keep up
- Onboarding slowed by fragmented documentation
- Gap wasn't knowledge, it was retrieval
Employees ask questions where they already work, no new tool to adopt. A Retrieval-Augmented Generation service indexes internal documentation and returns source-grounded answers, backed by actual company documents.
Multi-Tenant Superadmin Shipped In 6 Weeks
Single-tenant healthcare admin had to become multi-tenant superadmin with cross-clinic login, while the client added feature requests mid-build across multiple disconnected repos.
- Single-tenant to multi-tenant superadmin migration
- Split across multiple repos with no gitflow
- Client adding feature requests mid-build
- 1-2 devs cannot manually rearchitect at that scale
- Gap wasn't skill, it was multi-repo coordination overhead
Developers set the architectural foundation, execution plan, and multi-repo gitflow first. BAs and QAs use MCP to track evolving specs, while a unified tenant model drives AI-generated code across all repositories.
WHY CHOOSE ENOSTA
Proven at scale
validated by industry
Our Compliances & Certificates
ISO 27001 Certified
Strapi Community Partner
Claude Partner Network
AWS Partner
Our Clients
& PartnerS
Words from clients who've shipped with us
We proudly partner with businesses across various industries, delivering solutions that drive success and growth.
FAQ
How is Enosta structured as a global consultancy?
Enosta is structured as a hybrid consultancy with consulting and product strategy handled by our Melbourne and Ottawa offices, and engineering delivery led by our Da Nang hub in Vietnam. This gives clients senior product and technical judgment on the ground, paired with an experienced engineering team that delivers at pace and at commercially sensible rates.
How does the timezone work with a Vietnam-based team?
How does Enosta handle data privacy and security across regions?
Who owns the IP and source code?
Can we start small and scale?
What does an engagement typically look like?
Let Enosta be your Partner!
Ready to build the right product the AI-native way?
What our customer say
Thuong Tran
CEO - Nha Tro Van Minh
Duc Ngoc Nguyen
Former Business Analyst - TPBank