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Monday 08:30 - 18:00 Tuesday 08:30 - 18:00 Wednesday 08:30 - 18:00 Thursday 08:30 - 18:00 Friday 08:30 - 18:00

Ekotek, 1 P. Nguyễn Thị Duệ, Yên Hòa, Hanoi (2026)

13/08/2026

#𝐄𝐤𝐨𝐕𝐨𝐢𝐜𝐞 | 𝐓𝐡𝐞 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭 𝐁𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭 🔍

A feature request may look clear on paper, yet still leave the most important part undefined: the business logic that makes it work in practice.

For Ms. Hanh Vu, Head of Business Analysis at Ekotek, good analysis starts by looking beyond what users need to see or do. It means clarifying the decision behind the feature - what drives it, who owns it, and how the system should respond when the expected flow breaks. ⚙️

That is what turns a requirement from a feature specification into something product, design, and engineering teams can build around with the same understanding.

👉 See what it takes to make a requirement truly buildable below.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

11/08/2026

𝐓𝐡𝐞 𝐧𝐞𝐱𝐭 𝐛𝐚𝐧𝐤 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥 𝐛𝐫𝐢𝐧𝐠𝐬 𝐡𝐮𝐦𝐚𝐧𝐬 𝐚𝐧𝐝 𝐀𝐈 𝐢𝐧𝐭𝐨 𝐨𝐧𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰.

For years, banking automation has optimized individual tasks. AI agents change the equation because they can now interpret context, initiate actions, and move work across systems; not simply execute a predefined step.

🔄 This shifts the management challenge from automation to orchestration.

The strongest operating models will define not only what AI can do, but how decisions move across the workflow:

🔸Humans own judgment, exceptions, and accountability
🔸Copilots improve the quality and speed of decisions
🔸AI agents execute within defined authority and controls
🔸Governance is embedded into every handoff, not added after ex*****on

📈 The implication for ROI is significant. When the workflow becomes the unit of optimization, value can compound across cycle time, operational capacity, and control - not just labor saved on one task.

For banks, scaling AI may increasingly become an operating-model decision before it becomes a technology decision.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

07/08/2026

✨ 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐍𝐞𝐰 𝐋𝐨𝐨𝐤 𝐨𝐟 𝐄𝐤𝐨𝐭𝐞𝐤.

Our new website reflects more than a visual refresh. It brings Ekotek’s evolving technology direction into sharper focus - built for the age of AI Transformation and a new generation of intelligent business systems 💻

With AI-Native Engineering at the core, we are bringing software, data, and AI together to build intelligent products, platforms, and operations around real business needs.

𝑴𝒆𝒆𝒕 𝒕𝒉𝒆 𝒏𝒆𝒘 𝑬𝒌𝒐𝒕𝒆𝒌 𝒂𝒏𝒅 𝒔𝒆𝒆 𝒉𝒐𝒘 𝒐𝒖𝒓 𝒕𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 𝒗𝒊𝒔𝒊𝒐𝒏 𝒊𝒔 𝒕𝒂𝒌𝒊𝒏𝒈 𝒔𝒉𝒂𝒑𝒆.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

06/08/2026

#𝐄𝐤𝐨𝐭𝐞𝐤𝐏𝐎𝐕 | 𝟔𝟐% 𝐚𝐫𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐲𝐞𝐭 𝐨𝐧𝐥𝐲 𝟐𝟑% 𝐚𝐫𝐞 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐭𝐡𝐞𝐦 📊

The gap is not simply technical. Many agents are being added to workflows designed around human queues, fragmented systems, and static approval layers. This may accelerate one task while leaving decision latency, exception handling, and accountability unchanged.

Scaling agentic AI therefore requires more than adding autonomy. It requires redesigning the operating model around it:

🔸 Decision rights need to define what AI can recommend, execute, or escalate
🔸 Exception paths need to be designed as core workflow scenarios
🔸 Agent actions need to connect with systems of record and business controls
🔸 Value needs to be measured across the full outcome, not a single automated step

For , the workflow is where AI moves beyond isolated capability and becomes a governed part of enterprise decision-making.

The next advantage will not come from deploying more agents, but from redesigning how decisions move through the enterprise.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

04/08/2026

⚙️ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐚𝐩𝐩𝐞𝐚𝐫𝐬 𝐭𝐨 𝐛𝐞 𝐦𝐨𝐯𝐢𝐧𝐠 𝐟𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐚𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐚𝐫𝐨𝐮𝐧𝐝 𝐢𝐭.

Across financial services, agentic AI adoption is moving faster than the workflows required to turn recommendations into controlled business actions. Adding an agent to an existing process may improve one task, while leaving decision authority, system ex*****on, exception handling, and outcome ownership unresolved.

The gap becomes clearer as AI moves closer to operational decisions:

🔹Decision rights before autonomy: Define what AI can recommend, execute, or escalate.
🔹Exception paths before scale: Design for incomplete data, policy conflicts, and cases requiring human judgment.
🔹Workflow outcomes before model activity: Measure cycle time, override rates, cost per outcome, and realized business value.

🔄 Enterprise transformation begins when AI outputs can move through governed decision flows, connected systems, and clear lines of accountability.

As agent capabilities advance, how quickly can enterprise workflows evolve around them?

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

30/07/2026

#𝐁𝐮𝐢𝐥𝐭𝐖𝐢𝐭𝐡𝐄𝐤𝐨𝐭𝐞𝐤 | 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐊𝐘𝐂 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐟𝐨𝐫 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 🔍

For a Singapore financial services business, document review, facial matching, liveness checks, voice verification, and audit records already formed part of KYC. The challenge was that these steps remained fragmented, leaving teams to coordinate separate checks before reaching a defensible onboarding decision.

Ekotek brought the verification chain into one AI-powered eKYC workflow:

🔹Computer vision and OCR converted submitted IDs into structured identity data
🔹Face, liveness, and voice verification connected that data to the applicant
🔹Spoofing screening and traceable records remained embedded from submission to result

Delivered on Google Cloud in five months, the solution gave the business a more consistent basis for processing routine cases, escalating exceptions, and reviewing the evidence behind each verification outcome. 📊

🔗 Explore how Ekotek brings AI-powered identity verification into connected financial onboarding workflows.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

28/07/2026

⚙️ 𝐓𝐡𝐞 𝐧𝐞𝐱𝐭 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤 𝐢𝐧 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐬𝐧’𝐭 𝐭𝐚𝐬𝐤𝐬; 𝐢𝐭’𝐬 𝐜𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐢𝐨𝐧.

Enterprises already use AI to summarize documents, generate content, classify requests, and support employees. Yet many workflows still depend on manual handoffs, fragmented systems, and repeated human decisions before work can move forward.

The trends gaining momentum in 2026 are addressing those gaps from different angles:

🔹Autonomous agents coordinate actions across multiple systems
🔹Hyper-personalization adapts each interaction using live context
🔹No-code platforms let business teams redesign routine workflows faster
🔹Predictive and prescriptive AI connect early signals to the next action
🔹Generative AI moves from standalone output into governed operational processes

The real shift is that AI is no longer something you “use” inside a workflow. The more important change is that AI is starting to *absorb the workflow itself*, turning static processes into adaptive systems that reorganize based on context, constraints, and outcomes rather than predefined steps.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

23/07/2026

🏦 𝐓𝐡𝐫𝐞𝐞 𝐏𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞𝐬, 𝐎𝐧𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦: 𝐖𝐡𝐞𝐧 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐚𝐫𝐭𝐬 𝐌𝐚𝐤𝐢𝐧𝐠 𝐁𝐚𝐧𝐤𝐢𝐧𝐠 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬

AI automation takes on a different significance once it begins influencing approvals, prioritizing cases, escalating risks, or determining what happens next in a customer journey.

Across credit, fraud, and transaction review, banks are no longer managing isolated models. They are managing a decision system that shapes who gets approved, which cases receive attention, and how risk appetite is translated into daily actions.

Three perspectives reveal what this shift means in practice:

🔹Business: More precise decisioning can support risk-adjusted growth, make new customer segments commercially viable, and enable more differentiated financial products.
🔹Delivery: Every override, escalation, and customer outcome becomes feedback that helps the bank refine its decision policies.
🔹Technology: Each decision needs to remain traceable to the model, data, policy, and risk limits that shaped it.

As AI moves deeper into banking workflows, the greater capability lies in continuously improving the decision system behind the automation - not simply increasing the number of automated decisions.

How should banks evolve their decision systems as AI takes on a more active role?

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

21/07/2026

📊 𝐓𝐡𝐞 𝐡𝐚𝐫𝐝𝐞𝐬𝐭 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐀𝐈 𝐑𝐎𝐈 𝐢𝐬 𝐧𝐨𝐭 𝐜𝐚𝐥𝐜𝐮𝐥𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐞𝐭𝐮𝐫𝐧. 𝐈𝐭 𝐢𝐬 𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞 𝐫𝐞𝐭𝐮𝐫𝐧 𝐢𝐬 𝐫𝐞𝐚𝐥.

Many AI business cases begin with a promising pilot: Faster processing, higher accuracy, fewer manual steps, or better recommendations. But technical improvement is only the first layer of value.

The gap appears when expected gains meet real operations. Employees may override AI outputs. Human review may remain high. Time savings may not reduce cost or increase throughput. Infrastructure, monitoring, governance, and support costs may also grow faster than expected as usage expands.

That is why needs to be measured across three stages:

🔹Model the ROI before the pilot: Define the eligible workflow volume, expected improvement, value per outcome, and the share the business can realistically capture.
🔹Measure captured value: Separate demonstrated uplift from the value that actually reaches operations, revenue, capacity, or risk reduction.
🔹Validate ROI at scale: Test whether the economics remain positive after lifecycle costs, control requirements, exception handling, and expected risk exposure.

At that point, ROI becomes less a reporting metric and more a capital-allocation discipline. The real test is whether marginal value continues to outpace marginal cost as the use case expands across users, markets, and edge cases.

What evidence should an AI use case produce before it earns the next round of investment?

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

16/07/2026

📈 𝐓𝐡𝐞 𝐧𝐞𝐱𝐭 𝐰𝐚𝐯𝐞 𝐨𝐟 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐛𝐮𝐢𝐥𝐭 𝐢𝐧𝐬𝐢𝐝𝐞 𝐜𝐨𝐫𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬.

For enterprises, the opportunity is moving beyond isolated copilots and toward AI systems that can read business data, connect with existing platforms, handle routine decisions, and escalate exceptions when human judgment is still required.
As this shift accelerates, AI will be evaluated less by how impressive a demo looks and more by how reliably it can operate inside procurement, compliance, customer service, finance, and logistics.

That changes what effective AI development needs to bring together:

🔹A clearly defined workflow and business outcome
🔹Enterprise data, context, and system integration
🔹Controls for access, exceptions, auditability, and human oversight
🔹Data platforms and ModelOps that keep the system reliable after deployment
🔹Domain knowledge that reflects how the business actually operates

At Ekotek, this translates into an AI development approach that begins with the business process, connects to the data and systems already in place, and carries the solution through to production without losing sight of control, reliability, or scale.

As enterprise AI moves closer to day-to-day operations, the focus will increasingly shift from experimentation to building systems the business can rely on over time.

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Strategic AI Transformation Solution Provider
𝐖𝐞𝐛𝐬𝐢𝐭𝐞: https://ekotek.vn/
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/official-ekotek
𝐄𝐦𝐚𝐢𝐥: [email protected]
𝐓𝐞𝐥: 024 6658 3530
𝐎𝐟𝐟𝐢𝐜𝐞: 4F, CIC Tower, No.1 Nguyen Thi Due St., Cau Giay, Hanoi

Ekotek

13/08/2026

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Monday	08:30 - 18:00
Tuesday	08:30 - 18:00
Wednesday	08:30 - 18:00
Thursday	08:30 - 18:00
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