AWS AI Services for Small Businesses in Singapore

Key Takeaways

  • AWS offers over 30 AI and machine learning services — most Singapore SMEs need just 2–4 to cover their core use cases
  • Amazon Bedrock gives businesses access to foundation models (Claude, Llama, Titan) without managing any AI infrastructure
  • Amazon Quick is AWS’s AI work assistant — it researches, writes documents, builds no-code apps, and integrates with tools like Salesforce, Slack, and Notion
  • AWS AI services operate on pay-as-you-go pricing — you pay only for what you use, with no upfront commitment
  • Singapore-based AWS infrastructure (ap-southeast-1) keeps data within the region for PDPA compliance

Amazon Web Services is not just for enterprise. Many of AWS’s AI services are priced per API call, accessible within minutes, and require no machine learning expertise to use. For Singapore small businesses, this means production-ready AI capabilities — image recognition, document analysis, text generation, speech transcription, and AI-assisted work — without a data science team or custom model training.

This guide cuts through the full AWS AI catalogue to identify what is actually useful for SMEs, what it costs, and where to start.

What AWS AI Services Are Available?

AWS organises its AI offerings into three tiers:

AI Services (no ML expertise required) — Pre-built APIs and tools you use directly with your data. These cover the most common business use cases and are the right starting point for most SMEs.

ML Services (some ML knowledge needed) — Tools like Amazon SageMaker for building and training custom models. Useful when pre-built AI does not match your specific use case.

ML Frameworks and Infrastructure — Deep infrastructure for training large models at scale. Not relevant for most SMEs.

For Singapore small businesses, the AI Services tier is where to focus.

The AWS AI Services Most Relevant to SMEs

Amazon Quick

Amazon Quick is AWS’s AI-powered work assistant built for business productivity. Unlike API-based services that require developer integration, Amazon Quick is a conversational tool your entire team can use directly — no technical setup needed.

What Amazon Quick does:

  • Research and analysis — Synthesises comprehensive reports by pulling from business data and public sources simultaneously. A task that takes hours of manual research is reduced to minutes
  • Document and content creation — Generates polished documents, presentations, spreadsheets, and images within the same interface, without switching between tools
  • No-code app building — Creates interactive business tools like intake forms, project trackers, and status dashboards without any coding required
  • Multi-app connectivity — Integrates with thousands of business applications including Salesforce, Slack, Jira, Notion, HubSpot, and ServiceNow, allowing AI to act across your existing tool stack
  • Desktop integration — Works with local files and surfaces meeting prep, follow-up actions, and task summaries automatically

Best SME use cases: Sales pipeline management and forecasting, competitive research, project status tracking, automated reporting for stakeholders, and document generation for proposals and contracts.

Pricing: Amazon Quick offers a free tier to get started, with Plus, Pro, and Enterprise plans for teams requiring more capacity and integrations.

Amazon Bedrock

Amazon Bedrock is AWS’s managed foundation model service. It gives you API access to multiple large language models — including Anthropic’s Claude, Meta’s Llama, Amazon’s Titan, and others — without managing any AI infrastructure. Unlike Amazon Quick (which is end-user facing), Bedrock is for developers building AI-powered features into applications.

What you can build with it:

  • Customer support chatbots trained on your product documentation
  • Internal knowledge assistants that answer employee questions from your company files
  • Content generation for marketing, product descriptions, or email campaigns
  • Document summarisation for contracts, reports, and meeting notes

Pricing: Pay-per-token (input and output separately). At SME query volumes, monthly costs typically range from SGD 5–50 for light use to SGD 200–500 for production applications.

Singapore availability: Bedrock is available in the ap-southeast-1 (Singapore) region, so your data stays within Singapore.

Amazon Rekognition

Amazon Rekognition is an image and video analysis service. It detects objects, faces, text, and scenes in images and video without any model training required.

What you can build with it:

  • Automated product image tagging for e-commerce catalogues
  • Identity verification using facial comparison for KYC workflows
  • Content moderation — automatically flagging inappropriate user-uploaded images
  • Workplace safety monitoring — detecting whether workers are wearing PPE in facility images

Pricing: Approximately USD 0.001 per image for object detection at standard volumes. Processing 10,000 product images costs roughly USD 10.

Amazon Comprehend

Amazon Comprehend analyses text to extract entities, sentiment, key phrases, and language. It understands and categorises existing text rather than generating new content.

What you can build with it:

  • Customer sentiment analysis — automatically classifying support tickets, reviews, or survey responses as positive, neutral, or negative
  • Entity extraction — pulling names, dates, organisations, and locations from documents automatically
  • Document classification — routing incoming emails or support requests to the right team based on content

Pricing: Approximately USD 0.0001 per unit (100 characters) for entity detection. Analysing 10,000 customer reviews costs under USD 5.

Amazon Transcribe

Amazon Transcribe converts speech to text. It supports multiple languages including Malay and multiple English accents, and can identify different speakers in a recording.

What you can build with it:

  • Automatic meeting transcription and note-taking
  • Call centre recording analysis — searchable transcripts of customer calls
  • Subtitle and caption generation for video content

Pricing: Approximately USD 0.024 per minute of audio. Transcribing 100 hours of call recordings costs approximately USD 144.

Amazon Textract

Amazon Textract extracts text and structured data from documents — including handwritten text, tables, and forms — more accurately than standard OCR tools.

What you can build with it:

  • Automated invoice and receipt processing — extracting line items, totals, and vendor names without manual data entry
  • Form digitisation — converting paper application forms to structured data
  • Contract analysis — extracting key terms, dates, and parties from legal documents

Pricing: Approximately USD 0.015 per page for forms and tables analysis. Processing 1,000 invoices per month costs approximately USD 15.

Explore the full range of AWS AI services to discover additional tools and capabilities that can support your business use cases, from generative AI to machine learning and automation.

AWS AI Services: SME Quick-Reference

Service What It Does Best SME Use Case Who Uses It Approx. Entry Cost
Amazon Quick AI work assistant — research, docs, apps, integrations Team productivity, reporting, sales pipeline All staff (no coding) Free tier available
Amazon Bedrock LLM access (Claude, Llama, Titan) Chatbots, content generation, document Q&A Developers SGD 5–50/month
Amazon Rekognition Image and video analysis Product tagging, content moderation Developers USD 1 per 1,000 images
Amazon Comprehend Text analysis and classification Sentiment analysis, email routing Developers USD 0.50 per million chars
Amazon Transcribe Speech to text Meeting notes, call recording analysis Developers USD 0.024/minute
Amazon Textract Document data extraction Invoice processing, form digitisation Developers USD 0.015/page

 

Quick tip: Amazon Quick is the only service here that your entire team can use without any developer involvement. If you want AI productivity gains across your business immediately, Quick is the fastest starting point. For custom AI features built into your applications, start with Bedrock.

 

How Singapore SMEs Can Get Started with AWS AI

Step 1: Create an AWS account. AWS accounts include 12 months of free tier access, which covers limited usage of most AI services. Amazon Quick also offers a free tier to test before committing to a paid plan.

Step 2: Choose the Singapore region. Select ap-southeast-1 (Singapore) as your default region for API-based services. This keeps your data within Singapore, simplifying PDPA compliance and reducing latency for your users.

Step 3: Start with one use case. For teams wanting immediate productivity gains, start with Amazon Quick. For developers building AI into applications, start with Bedrock for text generation or Textract for document processing. Measure the time saved, then expand.

Step 4: Use AWS Managed Services for ongoing support. A local AWS partner can handle setup, security configuration, and ongoing optimisation — so your team focuses on your business, not cloud infrastructure management.

 

PDPA Considerations for AWS AI in Singapore

Singapore’s Personal Data Protection Act requires organisations to implement data protection policies when processing personal data. When using AWS AI services:

  • Choose the Singapore region (ap-southeast-1) — Data processed in this region stays in Singapore unless you explicitly move it
  • Enable AWS CloudTrail — Audit logging of all API calls supports PDPA accountability obligations
  • Review data retention settings — AWS AI services do not retain your data by default, but confirm this for each service you use
  • Sign a Data Processing Agreement with AWS — AWS’s Data Processing Addendum covers GDPR and is applicable to PDPA compliance frameworks

Frequently Asked Questions

What is the difference between Amazon Quick and Amazon Bedrock?

Amazon Quick is a ready-to-use AI work assistant for your team — no coding needed. Amazon Bedrock is a developer API for building AI features into custom applications. Quick is for business productivity; Bedrock is for building AI products.

Do I need a developer to use AWS AI services?

For Amazon Quick, no — it is a direct user tool. For API-based services like Bedrock, Rekognition, and Textract, basic developer integration is needed. No-code tools like Zapier or Make can also connect some AWS services to existing applications.

Is AWS AI service pricing predictable?

All AWS AI services listed here use pay-per-use pricing. Set up AWS Budgets alerts to receive notifications before spending exceeds your defined threshold — this prevents unexpected costs from usage spikes.

How does Amazon Bedrock compare to using OpenAI’s API directly?

Both are managed LLM API services. Bedrock’s key advantage is that it runs within your AWS environment — simplifying security, compliance logging, and integration with other AWS services. It also provides access to multiple model providers (Anthropic, Meta, Amazon) from a single API.

 

Start Using AI on AWS Today

AWS AI services are production-ready, priced per use, and available in Singapore with no minimum commitment. Amazon Quick can put AI productivity in your team’s hands today; Bedrock and other API services let your developers build AI into your applications at any scale.

Exabytes Singapore provides AWS managed services — from initial account setup and architecture design to ongoing monitoring and cost optimisation. Contact our team to explore which AWS services are the right fit for your business.