Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
Category Archives: Fintech International
Santander Scales Ebury To Control SME Cross Border Payments
May 1, 2026 | NCFA Market Activity | Payments And Market Infrastructure
£550M Funding Deepens Bank-led Infrastructure For Global Trade Flows
On Apr 30 2026, Santander confirmed Ebury secured about £550M in funding led by Centerbridge Partners, with Santander, Vitruvian Partners, and 83North reinvesting. Santander will retain a 55% stake and positions Ebury as its core SME cross-border payments platform.
Ebury was founded in 2009 in London and focuses on cross border payments, foreign exchange, and trade finance for small and mid sized businesses. According to Santander, the platform serves more than 27,000 businesses, operates in over 160 countries, supports 140 currencies, and is active across more than 30 regulated markets. The company has delivered more than 30% annual revenue growth since 2020, reflecting sustained demand for SME-focused global payment infrastructure.
The model is built around consolidation of fragmented workflows. Businesses use Ebury to move funds, manage FX exposure, and access working capital in one system instead of relying on multiple banks and intermediaries. That reduces settlement friction, improves pricing transparency, and shortens execution time across cross border transactions.
This competitive positioning targets a structural gap. Large banks tend to focus on multinational corporates, while many fintechs focus on consumers or small merchants. Ebury sits in the middle, serving companies that operate internationally but lack access to sophisticated treasury and FX tools. By combining payments and FX, it captures both transaction volume and margin, which are often separated in traditional models.
See: UK Private Banks Commit £11 Billion To SME Export Lending
The funding supports further expansion and investment in automation and AI across payment processing and compliance workflows. Santander places Ebury within its Payments Solutions division, which targets more than 15% annual revenue growth through 2028, showing that cross border SME payments are being treated as a core growth segment rather than an adjacent business line.
Worth noting that Santander recently received approval to operate in Canada through a Canadian banking licence. Combining that regulatory presence with Ebury’s platform creates a path to serve Canadian SMEs engaged in global trade, particularly those that require faster payments, integrated FX, and access to international liquidity.
For Canadian fintechs and financial institutions, this news raises the competitive bar. Cross border payments are becoming integrated infrastructure platforms rather than standalone services. Competing requires deeper integration into business workflows, specialization in trade corridors, or partnerships that extend global reach.
Talking Point
If banks control fintech platforms like Ebury, cross border payments stop being a service and become infrastructure. The open question is whether independent fintechs can compete at global scale or whether access to capital, licensing, and distribution will concentrate that control inside bank backed networks.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
 |  |  |
|---|---|---|
 |  |  |
Broadridge Adds CQG To Push Deeper Into Trading Workflows
May 1, 2026 | NCFA Fintech Market Activity | Capital Markets And Market Infrastructure
CQG Execution Tools, Multi-Asset Connectivity And Workflow Ownership
On May 1, 2026, Broadridge completed its acquisition of CQG, adding futures and options execution management, algorithmic trading, analytics, and market connectivity to its capital markets platform.
CQG brings tools used by futures brokers, institutional investors, retail brokers, proprietary trading firms, and hedge funds to route, analyze, and execute trades. That gives Broadridge more capabilities in the daily work of firms that trade futures, options, foreign exchange, and digital assets.
Broadridge says its technology and operations platforms support average daily trading of more than $15T in tokenized and traditional securities globally. Adding CQG brings more trading activity into that infrastructure base. This type of scale gives the deal weight.
The deal also connects to Broadridge’s recent expansion into Canadian digital asset wealth infrastructure. It's not just about digital assets though. It's workflow ownership across the investment stack, from trading and analytics to custody, asset servicing, and portfolio infrastructure.
Talking Point
Broadridge is building around where financial firms spend time and money every day. Trading, connectivity, analytics, asset servicing, and digital assets are becoming harder to buy as separate pieces. That creates competition for fintech platforms selling solutions or brokers relying on thin integrations across multiple vendors.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
| | |
|---|---|---|
| | |
MIT AI Risk Repository For Fintech Governance
Apr 29, 2026 | NCFA Resource | Artificial Intelligence And Data, Risk Compliance And Regtech
AI Risk Taxonomy For Audits And Controls
The MIT AI Risk Repository is an open database created by researchers at MIT to bring structure to AI risk. It compiles more than 1,700 documented risks from 74 existing frameworks and studies into a single system. The aim is practical. AI risk guidance exists, but it is scattered and inconsistent across sources. This repository organizes it into a shared taxonomy, with links that show how risks connect and compound across systems.
See: Age Checks Become Digital Compliance Infrastructure
In practice, this gives teams a consistent way to map risk across AI systems.
- A lending team can trace where bias or model drift may affect credit decisions
- A fraud team can test how detection gaps might cascade into losses
- Compliance teams can align internal reviews to a shared structure instead of stitching together multiple frameworks
- It brings product, engineering, and risk teams onto the same page as firms scale AI into production and face tighter audit expectations, similar to how financial institutions approach model risk management in production environments
Who Gets Value
Teams already running AI in production will get the most from this. If you’re operating models in lending, fraud, onboarding, or customer support, it gives you a structured way to think about risk across systems. Larger fintechs and financial institutions dealing with audit and regulatory pressure will find it useful quickly. Early stage teams without deployed models will likely find it heavy and not immediately relevant.
Strengths And Limits
The strength here is structure. It turns fragmented AI risk concepts into something teams can actually use, and the causal links add depth that most frameworks miss. At the same time, it does not rank risks by likelihood or impact, and it does not translate directly into controls or regulatory compliance. Some classifications reflect interpretation across sources, and emerging risks may not be fully captured. Teams still need to apply judgment and build their own control layer on top.
Key Resources
Repository Homepage (AI risk overview and navigation)
Full Risk Database (AI risk dataset for audits)
Causal Taxonomy (AI risk relationships mapping)
Domain Taxonomy (AI risk classification framework)
Research Paper (AI risk methodology and design)
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
| | |
|---|---|---|
| | |
FIS Launches Lyriq Platform For Bank Issued Digital Money
Apr 29, 2026 | NCFA Fintech Market Activity | Digital Assets Blockchain And Tokenization
FIS Launches Lyriq Platform For Bank Issued Digital Money
On Apr 29, 2026, FIS launched Lyriq, a platform that allows banks to issue and manage tokenized deposits and digital money while keeping funds on balance sheet.
Lyriq connects with core banking systems and supports continuous settlement. Transactions are designed to either complete fully or fail, which reduces reconciliation work and gives banks clearer control over how payments move across systems. The platform enters limited availability after seven financial institution proofs of concept and multiple CBDC program engagements, including one moving toward pre-production.
See: Adyen Expands Control Across Enterprise Money Flow
The design focuses on production use. Identity, access control, compliance, and audit functions are built into the platform, allowing banks to run digital money flows within existing regulatory and operational frameworks rather than layering controls afterward.
Jim Johnson, Co-President of Banking Solutions, FIS:
“Lyriq is production-ready infrastructure that, combined with our deep expertise integrating bank technology, puts banks in control of money in motion. Lyriq is a platform proven with financial institutions - one that meets banks and regulators where they are.”
Lyriq is part of a broader set of tools FIS is building around digital assets. The company already supports stablecoin payments through its Money Movement Hub and loan tokenization through its Digital Liquidity Gateway. Together, these tools cover payments, deposits, and capital markets in one place.
For banks, the appeal is simple. They can offer faster and more flexible transactions while keeping deposits on their own balance sheets. Stablecoins already offer speed and programmability, but they sit outside the banking system. Lyriq gives banks a way to offer similar capabilities without sending funds elsewhere.
See: Tokenization Finds Scale In Collateral And Cash
The hard part has been getting these systems into real use. Many tokenization projects stay stuck in pilots because they don’t connect to core banking systems. Lyriq focuses on that gap by working with infrastructure that banks already use, which makes it easier to handle real transaction volume.
If banks can’t offer a similar experience, deposits and payment activity can move to platforms that already do. That’s the pressure pushing banks to act.
Talking Point
Which platforms become the operating layer for bank issued digital money, and which banks can move fast enough to keep deposits and payment flows inside their own systems?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
| | |
|---|---|---|
| | |
Customers Bank Uses 500 AI Agents To Rebuild Operations
Apr 28, 2026 | NCFA Insight | Artificial Intelligence And Data, Banking And Credit Infrastructure
Building One Of The First AI Enabled Regional Banks
On Apr 27, 2026, Customers Bank announced a multiyear collaboration with OpenAI to deploy AI across commercial banking operations. The bank has nearly $26 billion in assets and already has 75% of team members using OpenAI powered tools. Customers Bank even used an AI voice clone on its last earnings call. The bigger change is how the bank is deploying AI agents across lending, onboarding, and payments.
On its Q1 call, Customers reported more than 500 internal agents and custom GPTs, over 28,000 hours saved through AI enabled workflows, and productivity gains equal to almost 15 full time employees. Q1 results also show $69.7 million in net income available to common shareholders, total deposits up $813.9 million from Q4, and total loans up $609.0 million from Q4.
See: Smart Data Infrastructure Redefines Financial Competition
Sam Sidhu, President and CEO, Customers Bancorp
“We expect a fundamental re-engineering of how Customers Bank operates. We have spent the last year building the operational and governance infrastructure to deploy AI at scale. This strategic collaboration with OpenAI gives us the frontier models, engineering expertise, and ability to co-create a roadmap toward becoming an AI-native bank."
Customers Bank wants AI inside its operating model, with OpenAI engineers working directly with the bank to automate commercial lending, deposit onboarding, and payments. The bank’s cubiX platform already processes about $2 trillion in annual payments volume, giving the collaboration a live operating base, not a pilot or lab only environment.
AI Clone Handles Investor Communication
During Q1 2026 earnings call, Sidhu disclosed that his prepared remarks had been delivered by an AI clone, not read by him. While it was sure to be a memorable call at that point, it's important if AI can represent management's voice in a public market setting, boards need rules for disclosure, script approval, recordkeeping, and accountability before the next experiment becomes normalized.
AI banking use cases aren't just theatre. Customers Bank wants to reduce its commercial loan closing from 30-45 days to about 7 days. It also wants complex commercial account opening to fall from more than a day to under 20 minutes. They are targeting the slowest, most expensive parts of commercial banking.
See: OpenAI Releases GPT-5.5 For Workflows, Coding And Agents
This is where smaller banks and fintechs should pay attention. AI in banking won’t be won by buying a model and asking staff to use it. The value comes from redesigning workflows around agents, then keeping humans on approvals, exceptions, and risk judgement. That requires clean data, mapped processes, audit trails, escalation rules, and ownership of each AI output.
There's a regulatory approach too. Investor relations, lending decisions, onboarding, and payments all require accountable systems. If an agent drafts, routes, ranks, or speaks, the bank's still on the hook for the result. The lesson is not “let AI run the bank.” It's use AI to remove friction, but keep governance strong enough to prove who approved what and why.
Talking Point
Can Customers Bank turn AI from a productivity tool into an AI enabled engine powering lending, deposits, and payments?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
| | |
|---|---|---|
| | |
Age Checks Become Digital Compliance Infrastructure
Apr 28, 2026 | NCFA Insight | Risk Compliance And Regtech
Image: Freepik
Child Safety, Age Assurance, and AI Access Controls
On Apr 26, 2026, the CBC reported that Premier Wab Kinew announced at a weekend fundraiser that Manitoba plans to restrict youth access to social media and AI chatbots.
At the time of publishing, an official government release, bill or consultation paper wasn't available so treat this as early insight rather than a confirmed regulatory event (just yet). The stronger proof is already visible in global policy patterns, so it's only a matter of time.
Australia’s social media minimum age rules took effect on Dec 10, 2025, and eSafety reported that platforms had removed access to 4.7 million under 16 accounts across Australia by mid December 2025.
In Europe, the European Commission has published minor protection guidelines under the Digital Services Act, and the European Parliament has backed a minimum age of 16 for access to social media, video sharing platforms, and AI companions.
Given the trajectory and potential risks of AI, the debate isn't just about doom scrolling any more. It's fuelling a compliance market for age assurance, safer design, and AI access controls.
Social Media Bans Open The Door
Australian government's rules put responsibility on age restricted platforms to take reasonable steps, not on parents to police every account. So age restrictions and assurance are now an infrastructure issue. A checkbox, self declared birth date, or parental reminder won't satisfy regulators when millions of accounts need to be assessed, restricted, or removed.
See: CSA and CIRO Set Clear Rules for Finfluencers
Children can get pulled into endless feeds, autoplay videos, harmful recommendations, bullying, sexual exploitation, self harm content, eating disorder content, and late night scrolling that cuts into sleep. That's why social media is getting the attention from lawmakers first. The bigger question for fintech and digital identity comes next. Once governments make platforms check age, the same requirement can spread to other digital services used by minors.
The EU Builds The Age Assurance Layer
The EU hasn't implemented a social media ban on age just yet, but it's building the infrastructure that could support stricter controls. On July 14, 2025, the European Commission released an age verification app prototype under the Digital Services Act. The Commission says the app would let users prove they are over 18 when accessing restricted adult content while keeping control of other personal information, including their exact age and identity.
The Commission’s age verification page says the solution was technically ready for implementation as of Apr 15, 2026. The blueprint also gives platforms a practical build plan. It covers the technical specs, system design, data connections, and open source code needed to support age checks. Age assurance now has to protect children without creating a new privacy problem. Platforms need a trusted age signal. Users should not have to share a full identity file just to prove they meet an age limit.
AI Companions Raise The Risk Level
The clearest policy clue comes from Europe’s treatment of AI companions. On Nov 26, 2025, the European Parliament voted 483 in favour, 92 against, and 86 abstentions on a non legislative report calling for a minimum age of 16 for social media, video sharing platforms, and AI companions, unless parents authorize access for users aged 13 to 16.
The same Parliament release cites research that 97% of young people go online every day, 78% of 13 to 17 year olds check their devices at least hourly, and one in four minors show problematic or dysfunctional smartphone use. It also cites 2025 Eurobarometer impact of digitalisation findings that more than 90% of Europeans see online child protection as urgent, including 93% for social media’s negative impact on mental health, 92% for cyberbullying, and 92% for restricting access to age inappropriate content.
See: Tragic Incident Highlights AI Chatbot Risks for Teens
Those numbers explain why AI gets pulled into the same debate. Doom scrolling rules target addictive design and harmful content discovery. AI companion rules target interaction, dependency, personalized responses, manipulation, and adult like conversations with minors. NCFA has already examined youth AI protection risks, including lawsuits involving generative AI and vulnerable users. Regulators are starting to connect age, vulnerability, consent, product design, and AI behaviour into one compliance problem.
Closing Outlook
The public debate may start with under 16 social media bans. The business reality runs deeper. Governments want digital services to know when a user is a child, adjust the experience, and prove that controls work. Age assurance is becoming part of digital trust infrastructure. AI makes the stakes higher because the product doesn't just offer access to content anymore. It talks back, adapts, remembers, and can build dependence. That's why kid risk now part of the compliance stack. Once age becomes a regulated access condition, the same logic can reach payments, gaming, lending, investing, AI assistants, marketplaces, app stores, and identity wallets.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
| | |
|---|---|---|
| | |
AI Spending Rewrites Jobs And How Firms Operate
Apr 28, 2026 | NCFA Insight | AI, Fintech And Productivity
AI Image: Jobs vs Compute
Firms Cut Roles While Funding AI and Automation
AI layoffs are becoming a capital allocation story. In April 2026, large firms across technology, retail, media, and financial services kept cutting roles while at the same time spending more on AI, automation, cloud infrastructure, and operating efficiency.
That doesn’t mean all layoffs are as a result of AI, but boards are asking a harder question now as they divert capital from labour to compute: where does the next dollar produce more output, people, platforms, or compute?
The numbers are getting harder to ignore. Big Tech AI spending could reach about $600 billion in 2026. Meta plans to cut about 10% of its workforce while guiding to $115 billion to $135 billion in capital spending driven largely by AI infrastructure. Microsoft is offering a voluntary employee buyout as it manages rising AI and cloud costs. Snap is cutting about 16% of full time staff. Nike is cutting about 1,400 jobs, with technology roles taking most of the impact.
Labour Costs Are Being Compared Against Compute
The decision has been made in the boardroom. AI investment is competing with payroll, product teams, operations, and layers of management. Every job and role now has to show where it adds judgment, customer trust, regulatory knowledge, risk control, or revenue that automation can’t easily replace.
A fintech that can process more volume and scale without adding the same number of people has a better margin story. A fintech cost structure that needs a new team every time revenue grows will be under pressure fast.
AI usage and early labour strain is already appearing before every company announces formal cuts. Entry level roles in AI exposed fields are tightening first. That’s where the next generation of operators and compliance talent usually starts.
AI Savings Still Need Proof
A recent Armstrong Economics commentary on AI costs raises a useful counterpoint: AI can reduce headcount pressure, but it doesn't remove cost. For example, the cost of compute, vendor fees, data cleanup, cybersecurity, audit trails, , human review and workflow redesign are all part of real ROI calculations. For fintechs and financial institutions, the acid test is whether the full process costs less, runs faster, and keeps risk under control.
That makes unit economics more important than AI headlines. If those metrics improve, AI is creating operating leverage. If they don't, the company may end up moving cost from payroll to infrastructure in the end.
Non Tech Firms Are Repricing Old Digital Builds
Nike may be a clearer signal for Canada than Meta. Canada has fewer Meta sized AI infrastructure bets, but it has many established firms that added apps, data projects, digital teams, and customer platforms during the low rate years. Some of that work created real value. Some became expensive to maintain, hard to scale, or too slow to justify.
See: AI Security Models Create A Patch Overload Crisis
As a result, many companies are replacing older internal builds with leaner AI enabled stacks, vendor platforms, and automation tools that reduce operating cost. That’s the opening for fintech infrastructure. Companies still need modern payments, identity, credit, fraud controls, compliance tools, treasury, and customer finance.
They just don't want every capability built and staffed internally. Easier said than done but the option is goals and motivations are to buy proven tools, connect them faster, and reduce cost without adding another large costly operating layer. It’s removing friction from financial workflows. Faster onboarding. Cleaner risk checks. Less manual reconciliation. Better fraud detection. More useful cash flow data. Compliance that costs less to run.
The economics are are already visible. AI agents and return on intelligence in finance shows that 77% of financial institutions report positive ROI from AI, while nearly half plan to allocate more than half of their AI budgets to agent driven systems.
Productivity gains are now the baseline expectation, not the upside case. That changes how financial services teams are built and what gets funded.
There are limits, though. If companies eliminate too many junior roles, they risk weakening the talent pipeline. Financial services can’t automate accountability (can they?). Someone still needs to understand the customer, the regulation, and the risk.
Founders and investors should monitor operating metrics to understand where leverage is. Revenue per employee. Gross margin. Onboarding cost. Support cost. Compliance cost per customer. Fraud loss rates. A fintech that grows without adding headcount at the same pace stands out. One that talks about AI without showing better unit economics doesn’t.
Canadian Implications
Canada is earlier in this cycle, but the friction is starting to show. Statistics Canada reports that about 6% of AI adopting businesses say they've reduced employment due to AI, which suggests the adjustment is underway but not yet widespread. Firms are not always announcing large AI driven layoffs (publicly), but they are slowing hiring, tightening teams, and pushing more output through automation.
See: Agentic AI At Home, At Work, Under Scrutiny
That pressure is also showing up in large Canadian incumbents, even when AI isn't named as the cause. Rogers is offering voluntary departure packages to about half of its workforce as it looks to reduce costs.
Canada also won’t follow the US pattern exactly. The country has fewer hyper-scaleup companies and less direct exposure to massive domestic AI infrastructure spending. Canadian companies are more likely to buy AI capability through partners than build it internally. That creates a different risk. The US may adjust faster. Canada may carry this margin and efficiency friction longer.
It's important because productivity remains a concern. Statistics Canada reports that business labour productivity declined in late 2025.
Talking Point
The labour story is not about pure job cuts but whose rebuilding their operating model and productivity structure. If large US firms trade headcount for compute, Canadian firms need to trade manual work and fragmented systems for better infrastructure.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
| | |
|---|---|---|
| | |
