AI-ENABLED ENGINEERING PARTNER
We build the software enterprises trust to run at scale.
AI-enabled engineering teams that ship production softwares for enterprises across AU, SG, EU and VN.
Our Trusted Clients







In their words
What clients say after years, not weeks
We've been working with Enouvo over the last three years and it has been a great adventure. We were struggling to find a qualified partner to complement our internal team as we pushed for faster product development. We found Enouvo, and grew the team from one to six across back-end, front-end and QA.
TO
Torres Oey
CTO · Reebonz · SG
By the numbers
A track record you can check
15+Years of delivering production software since 2011, across AU, SG, EU, CA and VN.
We partner with ambitious teams and run strategy, design, and engineering as one accountable delivery, which shortens the path from concept to launch.
150+
AI specialists, full-stack engineers and solution architects.
Client feedback
4.8 / 5
★★★★★
96%
Client satisfaction measured across 200+ completed project reviews.
4+
Avg. client lifetime - Most clients stay because the partnership keeps earning it.
Enouvo IT Solutions
Enouvo Capabilities Overview
What we do
Five ways we deliver, one standard of work.
AI-augmented delivery
Agents do the mechanical work. Humans still sign.
Our own AI proxy, DevKit, review agent and workspace assistant run inside the lifecycle you already recognise, with a named human holding every gate.
See the full process100%
request success rate
2.1B
tokens processed
87%
code review action items resolved

01
Discover & spec
AI DevKit
Spec sign-off
02
Plan & decompose
AI DevKit · 10 agents
Plan approved
03
Generate
AI Proxy
None — engineer-led
04
Review
Code Review Agent
Human approval to merge
05
Validate
AI DevKit · QA skills
QA sign-off
06
Ship & learn
EIS Claw
Go / no-go
Case Studies
Outcomes we can point to.
01 / 05
Certifications
Standards we hold ourselves to.
Every credential below is audited or examined by the body that issues it, and covers how we run engagements: information security, delivery process, and testing practice.
4 STRATEGIC CERTIFICATIONS
01ISO 27001
BSI
02AWS Partner — Select Tier Services
Amazon Web Services
03Project Management Professional
PMI
04ISTQB Certified Tester
ISTQBALSO HELD15 ADDITIONAL CREDENTIALS






























Company overview
What Enouvo builds and how we deliver
Enouvo is an AI-enabled engineering partner that builds production software for enterprise teams. This overview brings our services, industry experience, client work, and engineering process together in one place.
Read the full Enouvo engineering overview
About Enouvo
AI-enabled engineering teams that ship production softwares for enterprises across AU, SG, EU and VN. Enouvo has more than 15 years of experience building enterprise software, a team of over 150 engineers, and long-running client partnerships. The company brings strategy, design, software engineering, quality assurance, and delivery operations into one accountable team. Its work spans Australia, Singapore, Europe, Canada, and Vietnam. Enouvo focuses on systems that need to remain reliable as their user numbers, integrations, data volume, and compliance requirements grow.
The engineering approach is built around production ownership. Teams clarify business goals and constraints before delivery, design around the workflows people need, and validate software as it is built. Engineers work with client teams throughout delivery so that architecture, implementation, quality, and future maintenance stay connected.
Engineering services
Strategic Consulting
Turn strategic ambition into technology that pays for itself.
Focus areas: Digital Strategy & Roadmapping, Innovation Accelerators, Venture & Product Incubation.
Example outcome: 10× faster data processing, 500K daily users in a project for Enterprise SaaS.
Digital Transformation
Build what clients actually need.
Focus areas: Process Automation & Optimisation, Web & Mobile Development, Experience Platforms.
Example outcome: +45% conversion rate, 10M users at scale in a project for Retail Giant.
Legacy Modernization
Modernize systems with zero downtime.
Focus areas: Cloud & Platform Migration, Application Modernization, System Integration.
Example outcome: 300% performance improvement, 60% faster releases in a project for Global Bank.
Enterprise AI Advisory
Turn AI pilots into systems that ship.
Focus areas: AI Strategy & Governance, Generative AI Solutions, Data Platforms & Analytics.
Example outcome: Real-time analytics at 500K daily active users in a project for Enterprise SaaS.
Quality Assurance
Embed quality at every stage of your delivery cycle.
Focus areas: Test Automation, Quality Engineering, Performance Testing.
Example outcome: 60% reduction in time-to-release in a project for Global Bank.
Industries and domain experience
Financial Services
Banking systems can't go down and can't be wrong. We build the checkout, ledger, and fraud infrastructure that enterprise banks stake their transaction volume on. That discipline is what a global bank called us in for.
Example: One hosted checkout, every method, 10× faster throughput for global bank for AXS.
Legacy Modernization: We migrate ledger and payment cores to modern infrastructure while the client keeps processing transactions.
Quality Assurance: We test against PCI DSS and regulatory requirements at every commit, not as a pre-launch scramble.
Mineral Exploration
Exploration decisions are only as good as the geological data behind them. Our custom AI solutions let geoscientists scan, analyze, and QA/QC drill core data without waiting on manual processing. An Australian mining company runs on one of them.
Example: AI-enabled cloud platform cuts geological data processing time by 70–80% for Australian mining company for Australian Mining Company.
Enterprise AI Advisory: We build the ML pipelines that scan and QA/QC drill core imagery, cutting analysis time from weeks to hours.
Digital Transformation: We ship the cloud tooling that lets geoscientists review and approve exploration data from anywhere, not just a site office.
Insurance
Underwriting live events off spreadsheets is guesswork. We build multi-tenant insurance platforms that score risk in real time and turn incidents into audit-ready claims. One global insurance group runs its whole risk-to-claim pipeline.
Example: One platform of record takes event insurance from risk assessment to claim settlement in a single thread for Global Insurance Group.
Digital Transformation: We build the platform of record that carries an insured event from underwriting through claim payout.
Enterprise AI Advisory: We build the scoring models that assess insured events as they happen, not after a manual review queue.
Legacy Modernization: We migrate legacy policy administration systems while underwriting keeps running.
Healthcare
Patient data carries the highest compliance bar of any workload we build for. Unified records, appointment systems, and cross-department workflows that hold up to public-sector audit. A Singaporean health agency needed that standard met.
Example: End-to-end patient platform cuts administrative workload 25–35% for Singaporean health agency for Singaporean Health Agency.
Digital Transformation: We replace siloed department systems with one patient record that every team works from.
Quality Assurance: We build automated privacy and access-control testing into the pipeline for every release touching patient data.
Data Lakehouse & Analytics
Data you can't trace is data you can't trust. We build governed lakehouse platforms on a Medallion architecture, with catalog, lineage, and quality checks from the first ingest. One construction data platform sends every source system through that pipeline.
Example: Governed Medallion lakehouse unifies every source system into one trusted, monitored platform for Construction Data Platform.
Enterprise AI Advisory: We build catalog, lineage, and quality checks into the pipeline so AI models train on data you can trace.
Strategic Consulting: We map source systems and ownership before building the lakehouse, so the architecture doesn't get rebuilt in year two.
Construction
Construction runs on what you can see and prove: where equipment is, what work happened, what it cost. We build geospatial monitoring and AI document platforms that replace paper trails on multi-site operations. A global construction company runs those systems across its ANZ sites.
Example: Integrated geospatial and project control platform digitizes millions of forms and cuts incident response 90× for global construction company for Global Construction Company (ANZ).
Digital Transformation: We build the live-map platforms that track equipment and crews across every active site.
Legacy Modernization: We digitize forms and inspections into the same workflow crews already use, not a new app they have to adopt.
AI Governed Application
AI adoption without governance is a liability. We run a three-layer model of governed policy, shared capacity, and a centralized AI gateway, then ship in-tenant AI products where every answer cites its source. We built that model to run our own engineering delivery.
Example: Three-layer governance model and centralized AI gateway make AI-assisted delivery secure, traceable and measured for Enouvo Engineering.
Enterprise AI Advisory: We route every AI call through a governed gateway, so usage, cost, and access are enforced automatically, not by policy documents.
Strategic Consulting: We define the shared-capacity and access model before teams start shipping AI features, not after the first incident.
Quality Assurance: We test that AI answers cite their source and stay within policy, not just that the service responds.
Site Management & Telematics
Site rules living in supervisors' heads can't be audited. We build platforms that track every plant item, person, and vehicle on one live map, with a Rule Engine that turns zones and speed into automatic alerts. One infrastructure delivery group catches violations in under 5 minutes then.
Example: Live tracking and Rule Engine turn site location data into automatic events, with alerts in under 5 minutes for Infrastructure Delivery Group (GCG).
Digital Transformation: We build the one-map view that tracks every asset on site in real time, replacing radio calls and guesswork.
Enterprise AI Advisory: We build the rule engine that converts zone and speed data into automatic alerts, without a human watching a dashboard.
Selected client work
Global Payment Group (GPG) — FinTech / Payments
Challenge: Every payment method GPG's merchants needed, from cards to MoMo, Alipay+, WeChat Pay, Apple Pay and Google Pay, meant another integration, another dashboard, and another manual reconciliation. Customers were bounced to generic gateway screens at the moment of payment, which cost conversion and brand trust.
Solution: A hosted, PCI-handled checkout that carries each merchant's own branding and accepts every method on a single page, backed by a full merchant portal: transaction search and refunds, self-service checkout branding with live preview, payment links and e-invoices, settlements and reconciliation, roles and permissions, plus API keys and webhooks for deeper integration.
Every method, one page: Visa, Mastercard and Amex with GPG Click to Pay, MoMo, Alipay+, WeChat Pay, Apple Pay and Google Pay. One integration, one settlement.
Merchants brand their own checkout: Colours, logo, redirect and webhook URLs with a live preview, without a developer or a redeploy.
Transactions to settlement, one place: Dashboard, searchable transactions, refunds, payment advice and reconciliation replace five separate exports.
Enterprise Construction & Asset Operations Group — Data Platform / Analytics
Challenge: Dozens of source systems covering construction, safety, asset, project and procurement each held a slice of the truth with no unified, queryable view. When a number looked wrong, no one could trace it back through the transformations to its source, and ETL failures, freshness slips and quality drift were discovered only after a report was already wrong.
Solution: A Medallion lakehouse on AWS that lands every source system via REST, GraphQL, Oracle, JDBC and file sync, refines it through governed Bronze, Silver and Gold layers with PII stripped at ingest, and serves analytics-ready Parquet and Iceberg datasets to Athena, Power BI and QuickSight. It is all operated from one console with catalog, lineage, quality scoring and rule-fired alerts with runbooks.
Every system, one governed view: Construction, safety, asset, project and procurement systems landed via REST, GraphQL, Oracle, JDBC and file sync into a single queryable lakehouse.
Lineage and quality at every hop: Bronze raw replicas, Silver normalized tables and Gold business-ready datasets, each layer catalogued, quality-scored and PII-handled at ingest.
Failures caught the moment they happen: Pipeline health, freshness and quality drift surfaced in real time, with severity-ranked alerts and suggested runbooks linking straight to the failing run.
Australian Civil Infrastructure Group — Construction / Telematics
Challenge: Plant, vehicles and crews were scattered across motorway, metro and rail sites with no single real-time view of where anything was. Site rules about who can be where, how fast and for how long lived in supervisors' heads and paper forms, applied inconsistently and impossible to audit. Overspeed, incursions and missed cycles were pieced together after the fact, never raised the moment they happened.
Solution: A web platform that puts every project on one live map, tracking plant, people on foot, and driver-in-vehicle resources located via in-cab units or a mobile app, with geofenced work areas, haul roads and exclusion zones. On top sits a Rule Engine that composes zone, speed, dwell and enter/exit conditions into rules that fire events automatically and notify the right people by SMS, email or push, plus time-machine playback of any minute of the working day and saved reports pinned live to the map.
One live map of everything: Every plant item, person and vehicle tracked with status, speed and signal, with playback of exactly where every asset was, minute by minute.
Rules turn movement into events: When a driver enters the tip zone at 0–5 km/h and stays under 5 minutes, the engine logs a "Dump" event automatically. Nothing is keyed in by hand, and the trail is audit-ready.
The right person, notified instantly: Every rule can alert crews and supervisors by SMS, email or push the moment its event fires, instead of waiting for end-of-day paperwork reconciliation.
Singaporean Health Agency — Healthcare / Public Sector
Challenge: Patient information was fragmented across facilities. Appointments and treatment tracking ran on manual processes, clinicians had limited visibility into patient history and medication, and coordination between healthcare providers was inefficient, because every handoff meant re-asking, re-checking and re-keying.
Solution: An end-to-end patient application: unified patient records covering medical history, medication and treatment plans; appointment management for scheduling and tracking visits; integrated workflows that support care coordination across departments; and secure access controls built for the data privacy and compliance rigour public healthcare demands.
A quarter to a third less admin: Manual appointment and treatment-tracking processes replaced by scheduling and unified records cut administrative workload by 25–35%.
Departments work from one record: Integrated workflows across departments improved care coordination efficiency by 20–30%, with no re-keying at every handoff.
Secure access, provable compliance: Role-based, secure access to patient records ensures the data privacy and compliance rigour public healthcare requires.
Enouvo Engineering — AI / Software Delivery
Challenge: AI adoption without governance is a liability. Public chatbots leak data and hallucinate, usage is untraceable, and every team reinvents its own prompts and workflows. Enterprises need AI that answers from their own controlled documents, under their own identity model, with every invocation monitored, quota-managed and auditable.
Solution: A three-layer governance model. Layer one, Governed AI Policy: client-approved AI usage, approved tools and model providers, usage standards, safety guidelines, periodic audits and AI champions. Layer two, Shared AI Engineering Capacity: shared skills and commands, structured workflows across the SDLC, security guardrails and custom multi-tenant AI agents. Layer three, a Centralized AI Gateway: authentication and access control, intelligent model routing across providers, usage monitoring and quota management, and analytics by project, user, provider and capability. On top runs the Enouvo AI Platform: six grounded document-intelligence modules for project assurance, deployed in-tenant with PII safety checks and every answer traced to its source clause.
Measured, not assumed: 86.4% completion rate across 294 skill invocations by 16 active skill users, with every AI-assisted task tracked on one usage dashboard.
Policy, capacity, gateway: Client-approved usage policy, shared AI skills across the SDLC, and a centralized gateway with model routing, quotas and per-project analytics.
Every answer cites its clause: The AI Platform's six assurance modules run in-tenant, never train external models, pass PII safety checks, and show the full workflow for audit.
Enouvo AI-augmented engineering
Our own AI gateway server, DevKit, Review agent and workspace assistant run inside the lifecycle you already recognise. A governed delivery loop with explicit human gates, not a tool list.
AI Proxy
A single governed gateway that routes every team's AI calls, enforces usage policy, and tracks spend down to the request. 90.57% success · 1.43B tokens
AI DevKit
Spec-driven development tooling of 80 skills, 10 agents, and 32 commands, backed by a 111-guide knowledge base. 80 skills · 10 agents · 32 commands
Code Review Agent
Automated review that lifted action-item completion from 40% to 87%, with Quick and Deep modes for every PR. 40% → 87% resolved
EIS Claw
A multi-channel workspace assistant on Slack, WhatsApp, MS Teams, and Feishu/Lark, answering from 500+ indexed docs in under 10 seconds. 500+ docs · <10s answers
Presale Kit
Proposal generation commands that cut turnaround on client proposals from 2–3 days to under 4 hours. 1 week → <= 2 days
01. Discover & spec
AI support: Reads transcripts, BRDs and existing code, then drafts a structured specification with open questions flagged.
Human responsibility: Solution architect validates scope, constraints and acceptance criteria.
Review point: Spec sign-off. Typical duration: 2–3 days.
02. Plan & decompose
AI support: Breaks the spec into an ordered backlog with dependencies, estimates and test intent per story.
Human responsibility: Tech lead approves sequencing and the definition of done.
Review point: Plan approved. Typical duration: 1 day.
03. Generate
AI support: Agents implement story by story against project standards and a 111-guide knowledge base, every call routed through the proxy.
Human responsibility: Engineers drive the agents and own the design decisions.
Review point: None — engineer-led. Typical duration: per story.
04. Review
AI support: Quick or Deep review on every pull request: standards, security, performance, dead paths.
Human responsibility: Reviewer resolves the action items and approves the merge.
Review point: Human approval to merge. Typical duration: minutes.
05. Validate
AI support: Test generation, coverage checks and regression runs execute in parallel with the review.
Human responsibility: QA owns the release-candidate call.
Review point: QA sign-off. Typical duration: hours.
06. Ship & learn
AI support: Release notes and docs regenerate; the knowledge base and skills library absorb what the release taught.
Human responsibility: Deployment authority stays human. Always.
Review point: Go / no-go. Typical duration: continuous.







