Exhibitions remain one of the most widely used channels for business development across industries. They provide concentrated access to potential customers, partners, and distributors within a short period of time.

Yet despite the scale of investment, the outcomes often fall short of expectations.

In many cases, the issue is not the quality of the meetings. It is what happens after the event.

Across multiple industries and regions, a consistent pattern appears: A significant portion of exhibition leads never progress into meaningful business conversations.

The gap is rarely strategic. It is operational.

The overlooked stage of the pipeline

Most organisations invest heavily in preparation.

They design booths, train staff, schedule meetings, and prepare marketing materials. Performance during the event is often measured by visible indicators such as:

• Number of visitors
• Number of business cards collected
• Number of product demonstrations conducted

These metrics provide a sense of activity. However, they do not necessarily reflect progress toward revenue.

The stage that determines long-term outcomes begins after the event ends.

Follow-up execution — not initial engagement — is where momentum is either sustained or lost.

Why follow-up breaks down

Through repeated observation in exhibition-driven sales environments, three structural causes appear consistently.

Information is captured without context

Teams often record contact details but fail to capture decision-relevant information.

For example:

• Level of interest or urgency
• Role in the decision-making process
• Specific needs discussed
• Agreed next steps

Without this context, follow-up communication becomes generic.

And generic communication rarely advances a business relationship.

Also Read: The real opportunity in ASEAN’s EV market lies in regional coordination

Responsibility becomes unclear after the event

During the exhibition, roles are well defined.

Sales teams engage visitors. Marketing teams manage materials. Operations teams coordinate logistics.

After the event, ownership of follow-up activities is often less clear.

Questions emerge:

• Who should initiate the next conversation?
• Who tracks the progress of each contact?
• Who ensures that commitments made during the meeting are fulfilled?

When responsibility is ambiguous, execution slows down.

Follow-up is treated as an action rather than a process

Many organisations view follow-up as a single step.

Send an email. Make a call. Share additional information.

In practice, effective follow-up requires a sequence of coordinated actions.

This typically includes:

• Prioritising contacts based on relevance
• Responding within an appropriate timeframe
• Personalising communication based on prior conversations
• Monitoring engagement and scheduling next steps

Without a structured workflow, even promising opportunities lose momentum.

Reframing exhibitions as part of an operational system

A useful shift in perspective is to view exhibitions not as isolated events, but as components of a larger pipeline.

The value of an exhibition is not determined solely by attendance or visibility. It is determined by continuity.

The first meeting establishes relevance. Subsequent actions establish trust.

Organisations that recognise this distinction tend to design their workflows differently.

Instead of optimising only for lead generation, they optimise for relationship progression.

Also Read: Beyond the booth: How tech companies can win at events

The role of collaboration in strengthening execution

Addressing post-event execution challenges often requires coordination across multiple areas of expertise.

Exhibition planning, on-site engagement, and follow-up management are interconnected activities.

When these functions operate independently, information fragmentation becomes more likely. When they are aligned, continuity improves.

For this reason, many organisations are beginning to integrate operational workflows more closely across teams and partners.

The focus is shifting from managing individual events to managing the full lifecycle of a business interaction.

Measuring what actually matters

As organisations refine their approach to exhibition-driven sales, performance measurement is evolving as well.

Execution metrics increasingly complement traditional activity metrics.

Examples include:

• Response rate to follow-up communication
• Number of second meetings scheduled
• Time elapsed between first contact and next action
• Conversion from conversation to qualified opportunity

These indicators provide a clearer view of pipeline health and operational effectiveness.

More importantly, they are actionable.

Teams can improve them through process design and disciplined execution.

Also Read: Building Web3 communities in Vietnam: Lessons from grassroots events

A practical implication for growing companies

For companies expanding into new markets or industries, exhibitions often represent a critical entry point.

They create initial visibility and open conversations that would otherwise take months to establish.

However, the long-term value of these interactions depends less on the event itself and more on the system that supports follow-up.

Organisations that invest in structured post-meeting workflows, including clear ownership, defined timelines, and consistent communication, are more likely to convert early conversations into sustained partnerships.

Conclusion

Exhibitions will continue to play an important role in business development.

But their effectiveness increasingly depends on operational discipline rather than promotional effort.

The most decisive moment is not when a conversation begins. It is when the next step happens.

Companies that design for continuity, not just visibility, are better positioned to translate meetings into measurable outcomes.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

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When was the last time you visited a website to shop or learn something, and felt left out because you couldn’t access it? For many people with disabilities, this is an everyday reality.

Eliminating this exclusion is why accessibility should matter to businesses. Today, we will explore what business accessibility really means – why it matters, what the ROI looks like, and how organisations can build more inclusive experiences for everyone.

With the rise of AI and automation, accessibility is no longer as complex or resource-intensive as it once was. What used to be seen as a compliance burden is increasingly becoming a design and product decision, embedded into how digital experiences are built, scaled, and improved over time.

Why does accessibility matter?

When a product or service is accessible, it means everyone, including people with disabilities, can engage with it fully and independently. Hence, operating an accessible business is not just about complying with regulations but about meeting the needs of a broader customer base in a digital-first world.

Key reasons accessibility matters:

• Inclusivity builds trust: A more accessible product reaches a broader audience and fosters brand loyalty.
• Technology supports accessibility: AI and automation are making accessibility more scalable and efficient to implement.
• Legal requirements are increasing: Many countries now mandate accessibility compliance, especially for digital platforms.

With advancements in AI and assistive technology, accessibility is becoming easier to implement and more impactful than ever. Businesses that embrace it are not only doing the right thing, they are also positioning themselves for long-term success.

Also Read: Empathetic software development: Creating accessibility-first apps for greater inclusivity

The ROI of accessibility

At its core, accessibility drives profitability for businesses. Investing in accessibility yields measurable returns across multiple areas. Here’s how:

• Increased market reach

Around 1 in 4 adults in the US lives with a disability. Increasing accessibility in your business helps you reach a larger audience and invites them in for more engagement. This expands your market reach.

• Improved SEO

Accessible websites follow a clear structure, include alt text, and offer easier navigation, all of which Google loves. What helps a screen reader also helps a search engine. In other words, accessibility and SEO don’t compete; instead, they complement each other beautifully.

• Reduced legal risk

Digital accessibility lawsuits are rising every year. From small startups to global brands, no one is immune. There is also an increase in measures taken to focus on businesses becoming more accessible. Hence, proactive accessibility protects your business from costly legal action and positions your brand as responsible and forward-thinking.

• Better user experience

One last thing to remember is that accessible businesses not just benefit people with disabilities, but they benefit everyone. Features like clear navigation, readable fonts, and video captions enhance usability across the board, think about people with slow internet. Having accessible features improves satisfaction for all users, regardless of ability or context.

How can businesses be more accessible?

Recognising the value of accessibility is the first step. But what does it look like in action? These practical strategies will help you understand how businesses can be more accessible, both sustainably and meaningfully:

• PDF or document accessibility

Documents, especially PDFs, are often where accessibility breaks down. Without proper tagging and formatting, screen readers cannot interpret them, leaving users frustrated.

A dedicated PDF accessibility software can help ensure your digital documents are inclusive, readable, and compliant, without slowing down your workflow.

• Website accessibility

Your website is your storefront. If someone cannot navigate it with a keyboard, read it with a screen reader, or understand its structure, they are more likely to leave and not return due to a poor user experience.

To tackle this website accessibility issue, use clear headings, alt text, accessible colour contrasts, and ensure WCAG compliance from the ground up.

Also Read: Accessibility requirements every startup should know

• Physical accessibility

Accessibility isn’t limited to screens. Think about the layout of your physical space. Are entrances, pathways, and restrooms usable for everyone? Every ramp, every sign, every widened door should send a message: you belong here.

• Closed captions and transcripts

Words matter, especially when they are visible. Closed captions and transcripts not only support users with hearing impairments but also boost comprehension, engagement, and even searchability. This feature makes a business accessible by being a simple fix that creates a big impact.

• Employee training

Tools and checklists only go so far. Real change happens when people understand the “why” behind accessibility. Training your team builds a culture of inclusion and empowers them to create with empathy, not just for efficiency.

Continue monitoring and updating

Making a business accessible isn’t just a one-time project. It is a continuous process that requires regular auditing to stay current with evolving standards and user feedback. Moreover, it is also not just about making your business legally compliant, but also about aligning your brand with ethical values so that all individuals feel included.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

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Southeast Asia’s AI story is often told as a race to build models or launch chatbots. The more immediate opening may be smaller and more practical: software agents that reduce fraud losses, clear operational backlogs, and automate repetitive casework inside large local industries. That matters in a region where the digital economy reached US$263 billion in gross merchandise value in 2024, yet trust, labour constraints, and uneven software adoption still slow execution, according to Google, Temasek, and Bain.

The first real gap is not intelligence but operational drag

The strongest case for AI agents in Southeast Asia is not that companies suddenly need more ideas. It is that many still run important processes through spreadsheets, email chains, call-centre queues, manual reviews, and fragmented software.

That makes payments operations, scam detection, BPO workflows, and hospital administration better targets than general-purpose assistants. These are environments where tasks repeat at scale, errors are expensive, and buyers can measure whether a product actually reduces handling time, fraud leakage, or case backlog.

Google, Temasek, and Bain say AI adopters in the region are already realising returns within 12 months. That is a useful signal for founders: in Southeast Asia, the first winning agent startups are likely to sell cost reduction and process reliability before they sell autonomy.

Fraud and compliance may be the clearest wedge

If one category looks especially underbuilt, it is digital trust. Singapore’s annual scam brief put 2024 scam losses at about S$1.1 billion, while the same e-Conomy SEA 2024 research found that half of digital users had already fallen victim to online scams despite feeling confident they could detect them.

That creates room for agentic products that sit inside existing financial and commerce workflows: transaction monitoring, merchant-risk review, scam-pattern escalation, claims triage, customer outreach, and internal investigation support. These are not glamorous use cases, but they map directly to budgets because the cost of doing nothing is already visible.

Also Read: Hospitality needs to treat AI agents like a new channel, not a new feature

The region’s policy conversation also points in this direction. ASEAN’s expanded guidance on generative AI highlights deepfakes, inaccurate outputs, privacy, and malicious activity as material risks, which means products that improve verification, auditability, and safe human handoff may have a more credible path to adoption than agents that try to operate unchecked.

The Philippines shows why back-office agents matter

The second major opening sits in business-process work. Reuters reported that the Philippine IT-BPM industry was on track for US$38 billion in revenue and 1.82 million jobs in 2024, with an industry roadmap targeting up to US$59 billion by 2028. That is exactly the kind of large, process-heavy market where agents can create value without needing fully autonomous decision-making.

A credible startup here would not try to replace entire teams. It would target narrower pain points such as case summarisation, post-call compliance checks, workflow routing, multilingual knowledge retrieval, or quality assurance for voice and chat operations. In those settings, the product succeeds only if it works with existing CRMs, ticketing systems, and service-level agreements.

This is also why the market remains underexploited. Local buyers may be interested in AI, but deploying agents inside live customer operations requires strong integration, careful change management, and clear accountability when outputs are wrong. Even in Singapore, IMDA said only 14.5 per cent of SMEs adopted AI in 2024, up from 4.2 per cent a year earlier, which suggests willingness is rising faster than readiness.

Healthcare administration is a harder market but a real one

Healthcare is often discussed as a moonshot AI category, but the nearer opportunity in Southeast Asia is less about diagnosis than administration. Philips, citing WHO estimates, said the region could face a 6.9 million health-worker shortage by 2030, while surveyed professionals pointed to burnout from non-clinical work and concern about growing patient backlogs.

That makes scheduling, referrals, documentation, discharge coordination, and claims preparation more plausible starting points. An agent that reduces clerical load for nurses, front-desk teams, or care coordinators may be easier to validate and regulate than one that makes frontline clinical judgments.

Also Read: The one-person company was always possible. AI agents make it probable

The same constraint applies across the region: the best products will be the ones that respect low-trust environments. Founders need to assume patchy data, mixed-language workflows, limited technical staff, and buyers who want human oversight embedded from day one.

Early signals are real, but the bar is higher than hype suggests

There are signs that agent-native companies are starting to form. Tech in Asia reported that 35 Southeast Asian startups had raised at least US$1 million for agentic AI products by early 2026, while Singapore-based Level3AI announced a US$13 million seed round to expand enterprise voice and chat automation. Antler separately said it invested US$7.4 million across Southeast Asian AI startups in the first half of 2025, including seven companies through an AI residency in Singapore.

Still, these are early signals, not proof that the region has found its defining winners. The agent startups most likely to work in Southeast Asia will be narrow, local, and deeply operational: they will sell into industries with measurable pain, build around regulation instead of around it, and keep a human in the loop where trust is low.

For founders, investors, and ecosystem builders, the call is straightforward. Stop asking where the region’s AI equivalent of a universal assistant will come from, and start backing teams that can remove a costly hour, a missed payment flag, or a hospital admin bottleneck from a real workflow in Southeast Asia. That is where the gold rush is likely to become a business.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

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Building a startup in Southeast Asia today can feel like surviving in a vast, deep ocean. The ecosystem is growing, capital is selective, regulatory scrutiny is sharper, and competition is higher.

Founders focus on product, fundraising, and growth loops. That is necessary. But many ignore one of the most reliable growth levers: reputation. And building it does not require a big budget. It requires intention and consistent communication.

According to Burson, companies with strong reputations can realise up to 4.78 per cent in additional unexpected annual shareholder returns. Other studies show that startups with consistent media coverage attract venture capital faster, close funding rounds efficiently, enjoy lower customer acquisition costs, and outperform weaker brands financially.

Reputation in 2026 measurable. And it is a growth advantage. The question is not whether you can afford to invest in it. The question is whether you can afford not to.

Reputation as a tangible asset: The business case for startups

Reputation is no longer a soft concept; it has financial value. Burson estimates the global Reputation Economy at US$7.07 trillion. 

We have seen this clearly in Southeast Asia. When Grab acquired Uber’s Southeast Asia operations in 2018, part of its advantage was reputation. Grab had a long-term commitment to working with regulators. It was trusted. That credibility mattered in a fragmented regulatory environment.

An inverse example is the low-trust environment of e-commerce. Carousell was an early leader. But when security concerns hit the industry amidst the rise in scams, Shopee’s reputation for buyer protection insulated it. Today, Shopee is exponentially larger.

Reputation shapes outcomes. It protects, attracts, and compounds. Yet many founders treat it as a luxury, or only as a checklist item.

Also Read: Why startups should prioritise brand reputation from day one

Why communications cannot be an afterthought

Many founders delay communications because it feels cosmetic, expensive, or premature.

In reality, communications is tightly linked to core business outcomes. How a company positions itself influences fundraising conversations, hiring quality, partnership opportunities, and even how regulators interpret its intent.

Left unmanaged, perception forms anyway. The risk is not a lack of visibility, but misalignment between what a company is building and how it is understood.

Early-stage communication should focus on clarity. What problem is being solved, why it matters, and why this team is credible. When done well, visibility becomes a byproduct of coherence, not the objective.

Start early: Consistency beats perfection

Many startups wait until they feel “ready” to communicate. That threshold is often unclear and constantly shifting.

Start earlier than feels comfortable.

Progress builds trust more effectively than polished narratives. Sharing what is being built, along with the challenges and trade-offs involved, creates a more credible signal than occasional, highly curated updates.

Silence, on the other hand, creates ambiguity. And ambiguity rarely works in a startup’s favour.

Messaging matters: Balancing the three C’s

Execution without messaging clarity creates noise. A useful way to structure communication is across three dimensions:

• Corporate: business fundamentals, vision, governance. Why should stakeholders take this company seriously?
• Concept: product, technology, differentiation. Why does this solution matter now?
• Community: human connection, brand story, ecosystem. Why should people care?

Startups often over-index on product. But technology without credibility feels fragile, while credibility without connection feels distant.

Reputation sits at the intersection of all three.

Also Read: With AI comes huge reputational risks: How businesses can navigate the ChatGPT era

Adapt to context: Southeast Asia is not a single market

Communications is context-dependent.

Southeast Asia is frequently treated as a single region, but media environments, regulatory sensitivities, and audience expectations differ significantly across markets. What works in Malaysia may not translate in the Philippines. What resonates in Singapore may fall flat in Indonesia.

This requires adaptation at multiple levels, from messaging to channel selection to how success is measured.

A single approach may be efficient, but it is rarely effective.

From episodic visibility to sustained credibility

Not all external communication is equal. One-off announcements can generate attention, but they do not build a reputation on their own.

Reputation is cumulative. It is shaped by consistency, clarity, and how a company shows up over time.

Startups that treat communication as an ongoing function, rather than a series of campaigns, tend to build stronger credibility. This has practical implications. Investors engage faster, customers convert with more confidence, and external stakeholders require less persuasion.

Building a startup will always involve uncertainty. Reputation does not remove that uncertainty, but it changes how others respond to it.

In Southeast Asia’s current environment, that shift can be a meaningful advantage.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

The post Why reputation is the new growth hack for startups appeared first on e27.

Around a week before I started writing this, I saw a job post on social media that was everywhere. It got a lot of attention, so I clicked to see why. The requirements were:

• Minimum bachelor’s degree.
• More than 15 years of work experience.
• Under 25 years old.

There were plenty of other detailed requirements, too, all tied to the role itself.

My first thought was that it had to be a typo. But after a few minutes, I started thinking about it differently. What if it was not a mistake? What if the recruiter was genuinely looking for someone young, flexible, and still able to deliver senior-level output?

It sounds extreme, but plenty of companies are looking for someone like this.

Why SMEs create unrealistic roles

Most SMEs do not create impossible roles because they like setting impossible standards. They do it because they are under pressure. They need growth, speed, and solid execution, but they often cannot afford multiple hires or senior-heavy teams.

The work still needs to get done. Marketing, operations, customer support, hiring, and admin all have to keep moving. But instead of building a team with clear roles, they squeeze several responsibilities into one position. They look for someone who can think strategically, move fast, adapt easily, and work with very little support. Sometimes they are not hiring for one role at all. They are really asking one person to carry the weight of several jobs.

At the core, they are trying to solve a real business problem with limited resources. 

Why AI agents make this fantasy feel possible

This is where AI agents start to change the picture.

The idea of one person doing the work of several people no longer feels unrealistic. When one employee has AI tools that can draft emails, summarise documents, organise information, suggest ideas, and automate repetitive tasks, that person can suddenly work much faster.

That is a big part of why AI agents are so attractive, especially for lean businesses. They feel efficient, flexible, and scalable. They can help marketers come up with content ideas, summarise campaign results, and prepare reports. They can help recruiters screen CVs, draft outreach messages, and manage interview schedules. In short, they can take a lot of repetitive work off people’s plates.

Also Read: Hospitality needs to treat AI agents like a new channel, not a new feature

And this is not just hype anymore. McKinsey’s 2024 global survey found that 65 per cent of respondents said their organisations were already using generative AI regularly in at least one business function. That does not mean AI is replacing entire roles, but it does show that companies are starting to treat it as a practical tool for everyday work, not just an experiment.

From a business point of view, the appeal is clear. AI agents look like a way to increase output without immediately adding headcount.

The real barrier is not only technology, but trust

The hardest part of using AI agents is not just the technology itself. It is trust, judgment, and the discipline to use them well.

It is fairly easy to trust AI with first drafts, summaries, or simple admin work. It gets much harder when the task involves customer communication, compliance, or decisions that depend on context. That is usually where hesitation starts.

I do not fully trust AI agents all the time. Some tasks that seem simple enough to hand over still do not come back as well as I expect. Sometimes the output is wrong. Sometimes the judgment is off.

And businesses know those mistakes are not always minor. A weak internal summary can be fixed. A poor customer response can damage trust. A compliance mistake can create much bigger problems.

You can see this gap between experimentation and real confidence at the company level, too. McKinsey reported in 2025 that while almost all companies are investing in AI, only one per cent believe they are truly mature in how they use it. The same report says the biggest barrier to scaling AI is not employees, but leadership not moving the change forward fast enough. That matters because many companies talk about AI as if it is just a tool issue, when in reality it is also a management and workflow issue.

So the real question is not just whether AI agents can do the task. It is whether businesses are comfortable relying on them when accuracy, accountability, and judgment really matter.

What AI agents might quietly take away from workers, especially junior talent

This is the part of the conversation I think we should pay more attention to.

A lot of the work AI agents are starting to handle is repetitive, low-risk, and operational. But that is also where many junior employees used to learn. That first layer of work was never just simple work. It was often where people built judgment, picked up context, and grew professionally.

Think about a junior marketer who no longer has to come up with content ideas, write campaign summaries, or prepare monthly reports, or a junior recruiter who no longer needs to screen resumes, schedule interviews, or manage candidate documents. A lot of junior employees used to learn through exactly these kinds of tasks. By drafting, organising, following up, researching, and handling simpler work first, they built pattern recognition, confidence, and judgment over time. 

Also Read: AI agents and the new rules of business execution

If AI agents absorb too much of that layer, companies may become more efficient in the short term, but weaker in the long term. If junior employees do not get enough real experience, where will future managers and specialists come from?

That is why AI adoption should not only be framed as a productivity story. It should also be part of a capability-building conversation. A company can save time today and still create a talent problem for itself tomorrow.

What companies should do instead

This is why businesses should stop thinking about AI agents only as a replacement tool and start treating them as a work redesign tool.

The better question is not, “How many people can AI replace?” It is, “Which tasks should AI take on, which should stay human, and which should be done together?”

AI agents are useful for repetitive admin, first drafts, summaries, sorting information, and process support. Humans are still better at relationship-building, final decisions, ethical judgment, and high-stakes communication. In most cases, the strongest model is not AI alone or human alone, but humans working with AI.

AI can also raise the floor for less-experienced teams. It can help people perform more consistently in areas like drafting, research, reporting, coordination, and execution. But exceptional talent will still stand out. Judgment, creativity, systems thinking, leadership, and taste are still much harder to compress.

That matters because it changes what company-building can look like. A business in Singapore or Australia, for example, may not need one person to do everything locally. It may make more sense to keep the most strategic roles close to home, build human teams in emerging talent markets like Indonesia or the Philippines, and let those teams work alongside AI agents.

That model can work across many functions, from software development to finance and accounting to sales and marketing. The goal is not to replace people. It is to build a more realistic and scalable way of working around them.

For SMEs especially, this matters. The answer is not to keep searching for one magical employee who can do everything. The smarter move is to build better systems around real people.

Also Read: The one-person company was always possible. AI agents make it probable

The end of the all-in-one employee

AI agents will absolutely change the way companies work. They will raise expectations around speed, output, and how much one person can get done. But they should not become an excuse for unrealistic hiring or weak team design.

The real opportunity is not to expect humans to do even more just because AI exists. It is time to rethink how work is shared, where people add the most value, and how teams are built more realistically from the start.

AI agents will not replace workers. But they may replace the fantasy of the all-in-one employee that so many SMEs have been searching for. And honestly, that may not be a bad thing. That fantasy was never a sustainable way to build a business in the first place.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

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