The real gaps in integration, data, security, evaluation, human fallback, and ownership.
NORA — AI Adoption Accelerator
You already have the pilot, or the pain.
We turn it into a production operation
—
and keep it running.
Most AI pilots never reach production — not because the model isn't good enough, but because nobody owns integration, evaluation, exception-handling, and the operating model around it. That's the gap NORA closes, starting from wherever you already are.
Two Ways In
However you got here, we start from where you are — not from zero.
Whether you already have an AI pilot running or haven't started yet, SmartDev has the right path to get you to the last mile of AI adoption — production, not a prototype.
Path A - The Headline Motion
You already have a pilot
A PoC, an internal agent, a Copilot workflow, or something built on a foundation model. Not a problem — the least differentiated part is already done.
Assess it for production readiness
Design what to retain, rebuild, or redesign
Then take it live in your real environment, with agreed controls.
Path B
You have a defined workflow, no pilot yet
A specific, recurring workflow with a named owner and a measurable cost — but no AI attached to it yet. The process is defined; the automation isn't.
Qualify it first
Confirm it’s measurable, recurring, and worth automating — and baseline the KPIs before designing anything.
Redesign the operating model
Around AI, deterministic logic, and the people who still need to be in the loop.
Everyone has a pilot. Not everyone can move it to production.
The model isn't the bottleneck. Evaluation, integration, human-exception design, and operational ownership are — and that gap is exactly where NORA works.
95
%
of generative AI pilots show no measurable P&L impact
MIT NANDA, 2025–26
78
%
of enterprises have an AI agent pilot — only 14% have scaled it
650-leader survey, March 2026
40
%+
of agentic AI projects will be cancelled by the end of 2027
Gartner
82
%
of German Mittelstand adopters are experimenting without ever scaling.
2026 Mittelstand research
Three steps, any start
The model isn't the bottleneck. Evaluation, integration, exception design, and operational ownership are — that's exactly where NORA works.
Understand the problem
Qualify the workflow, or assess the pilot you already have.
Build or industrialize
Design and deploy the production operating model.
Operate
Keep it performing, with a named owner and a measurable improvement cycle.
The Detailed Process
Path A — start with an existing pilot
5 stages — a pilot has already resolved most technical uncertainty, so there's no separate proof step.
- 1
Production Readiness Assessment
Find the real gaps in integration, data, security, evaluation, control, and ownership.
- 2
Productionization Design
Decide what to retain, rebuild, or redesign.
- 3
Production Deployment
Integrated, hardened, secure, live in your environment.
- 4
Operate & Optimize
Find the real gaps in integration, data, security, evaluation, control, and ownership.
- 5
Scale
Extend where reuse and ROI support it.
Path B — start with a defined workflow
6 stages, including an optional proof step inside design.
- 1
Workflow Qualification
Confirm the problem is measurable and recurring; baseline the KPIs.
- 2
Production Design
Redesign the operating model around AI, logic, and people.
- 3
Optional Rapid Solution Proof
Only if a technical uncertainty must be tested before we commit to a build.
- 4
Production Deployment
Live in your real environment, with agreed controls.
- 5
Operate & Optimize
Continuous improvement, measured.
- 6
Scale
Replicate to adjacent workflows where the economics work.
Where NORA works today
Repeatable patterns, compiled across industries that hit the same operational trouble
Each family is a set of reusable workflow assets and accelerators sold through the same engagement model above — not a separate product, and not a vertical practice.
NORA Compliance
Prove your AI decisions hold up against the rules. Workflows where an AI decision must be evidenced and defensible against a rule your organization has already approved — KYC file completeness, transaction-exception review, policy adherence.
Why This Solution
Own page — the question isn’t “are we audit-ready,” it’s whether the real process follows the rules you’ve approved
Document Processing
Get through document- and case-heavy work without the backlog. NORA reads, validates, and acts on the documents your operations run on — invoices, contracts, claims, onboarding files, compliance records — and connects directly into your ERP, CRM, and core systems.
Why This Solution
Receive → understand → validate → apply the rule → act → escalate exceptions → keep the evidence
Software Delivery
Make engineering, QA, and incident work faster — and auditable. Engineering knowledge, QA, and incident workflows made faster and traceable.
Why This Solution
Dogfooded on our own delivery pipeline first — see Build & Run’s “How We Deliver”
These three patterns show up differently depending on your industry
Engagement Model
Join at whichever stage fits you today
—
not a fixed sequence you have to complete end to end
Pick the stage that matches where you already are and start there. What matters isn't working through every stage on this list — it's getting AI into the work your team handles every day, so it actually gets the job done.
Stage
AI-Native Engineering
Typical Duration
Workflow Qualification & Production Design
A qualified workflow, baseline KPIs, a target operating design, and a clear build / redesign / do-not-build decision.
1–3 weeks
(Optional) Rapid Solution Proof
An answer to one specific technical uncertainty — never the deliverable.
2–5 days
Production Deployment
One bounded, AI-enabled workflow live in your environment, with agreed controls.
Ongoing (12-month default)
Operate & Optimize
Quality, exceptions, cost, and controls managed on an ongoing basis, with regular KPI review.
6–10 weeks
Ownership
The proven pattern replicated to adjacent workflows or business units where the economics work.
3–9 months
Fees and pricing are scoped per engagement and shared during Workflow Qualification — not published here.
Going live is the start of the measurement, not the end of the engagement
Left unmaintained, an AI workflow doesn't fail loudly — it drifts quietly. Accuracy degrades as real-world data shifts, exceptions pile up unnoticed, and the controls you approved at go-live slowly stop matching what's actually running, until a customer, an auditor, or a regulator finds the gap before you do.
NORA Operate & Optimize is what prevents that : monitoring accuracy and exception rates, tuning monthly as volumes and edge cases evolve, and reviewing KPIs against the baseline set during qualification. The workflow keeps earning the value it was built for — instead of just staying switched on.
Designed Around Challenges.
Built for Impact.
Explore how SmartDev turns complex business challenges into scalable AI, engineering, and technology solutions.
Cutting KYC review time without adding headcount
8 Month | Insurance — KYC & Compliance
Challenge
KYC accuracy relied on senior administrators — inconsistent under volume, and couldn't scale past their capacity.
KYC accuracy relied on senior administrators — inconsistent under volume, and couldn't scale past their capacity.
Solution
An LLM-powered pipeline parses documents, validates against compliance rules, and flags risk automatically.
An LLM-powered pipeline parses documents, validates against compliance rules, and flags risk automatically.
Result
• 50% faster risk assessment and recommendations
• 75% less manual compliance documentation
• 35% higher advisor engagement
• 50% faster risk assessment and recommendations
• 75% less manual compliance documentation
• 35% higher advisor engagement
Modernizing governance for a global climate-finance institution
1 Year (Ongoing) | ESG — Climate Finance
Challenge
A client needed to modernize its governance systems and simplify overlapping policies.
A client needed to modernize its governance systems and simplify overlapping policies.
Solution
AI-driven policy analysis paired with rebuilt legacy infrastructure — a scalable, defensible foundation for reporting.
AI-driven policy analysis paired with rebuilt legacy infrastructure — a scalable, defensible foundation for reporting.
Result
• 60% faster policy analysis and review
• 45% lower manual governance workload
• 2× greater cross-border delivery capacity
• 60% faster policy analysis and review
• 45% lower manual governance workload
• 2× greater cross-border delivery capacity
Our People
The senior pod on this engagement
—
not a name we hand you after signing
Every NORA engagement runs on the same senior pod from day one — spanning AI engineering, product, delivery, systems design, infrastructure, and PMO. Three of the ten also lead SmartDev — Build & Run, so if your engagement ever needs both domains, it's the same accountable team, not a handoff to strangers.
Alexander Nevolin
Head of Delivery
25+ years leading large-scale software engineering initiatives for global clients.
Dr. Toan Nguyen
Chief Technology Officer
15+ years in IT & Manufacturing across Vietnam and Korea; PhD, Electronics & Computer Engineering.
Yurii Lozinskyi
Senior Business Solution Architect
25+ years in Healthcare, Insurance and Finance; Digital Transformation & AI Adoption.
Vuong Huynh
Head of DevOps & Infrastructure
DevSecOps leader, 8+ years driving multi-cloud transformation via IaC & CI/CD.
Nhat Nguyen
Head of System Design
9+ years as Solution Architect across Banking, Insurance & EdTech.
Do Dang Thanh
Head of PMO
18+ years in software delivery & PMO leadership across Banking, Government, Healthcare & Education, leading transformations.
M.Sc. Thang Nguyen
AI/ CV Tech Lead
Computer vision & real-time AI specialist, Master's from Hongik University.
M.Sc. Tuyen Dinh
Senior AI Engineer
5+ years in ML, DL, CV & NLP. Master's from KAIST University, South Korea.
Quan Tran
Senior AI Engineer
6+ years in Generative AI, LLMs, agents, RAG & computer vision.
Viet Anh Dang
Senior AI Engineer
5+ years delivering RAG chatbots, OCR & document automation across enterprise.
Awards & Recognition
Our achievements are celebrated by
renowned organizations worldwide.
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FAQ
Common Questions
Is NORA just for compliance?
No. Compliance is one of three solution families — Compliance, Document Processing, and Software Delivery. NORA’s actual job is turning a defined workflow or an existing AI pilot into a production operation, whichever family it falls into.
We don’t have a pilot yet — can NORA still help?
Yes — that’s Path B. We start by qualifying the workflow itself: confirming it’s measurable, recurring, and worth automating, and baselining the KPIs before we design anything.
How is this different from SmartDev’s Managed AI Services?
No. You own the domain truth — business rules, process meaning, risk appetite, and sign-off. NORA owns turning that into a working, evidenced, production operation.
Does NORA replace our own domain experts?
No. You own the domain truth — business rules, process meaning, risk appetite, and sign-off. NORA owns turning that into a working, evidenced, production operation.
How does NORA relate to SmartDev — Build & Run?
Two independent entry points, not a mandatory sequence. Most engagements stay entirely inside one. A handoff happens only when the work surfaces a genuinely separate need — and it runs in both directions.
