Speed NetworkNow
Speed NetworkNow - AI Automation Internship
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Who Are We
Speed NetworkNow is a fast-growing, innovation-driven startup based in London.
We create structured networking experiences for entrepreneurs, startups, freelancers and professionals, while building a wider business ecosystem around content, business growth, education, community and technology.
As we continue to grow, we want to give someone interested in AI, automation, digital tools, workflows and problem-solving the opportunity to gain practical exposure to how a startup can use technology to improve everyday processes.
About the Learning Experience
This is a learning-focused internship designed for someone who wants to understand how AI and automation can be applied in real business situations.
You’ll have opportunities to learn directly from our founders and team while exploring how repetitive tasks, information flows and everyday business processes can be made more efficient.
The learning journey may look like:
- Spot the problem
- Understand the process
- Design the workflow
- Test it
- Improve it
You do not need to already be an automation expert.
What matters most is that you are curious, logical, willing to experiment, comfortable learning new tools, and interested in solving real problems.
Who This Opportunity May Suit
This internship may be particularly relevant to students, graduates or career changers exploring:
- Computer Science
- Software Engineering
- Information Technology
- Artificial Intelligence
- Data Science
- Business Analytics
- Information Systems
- Digital Transformation
- Business Management
- Entrepreneurship
- Marketing Technology
- Operations
- Automation or No-Code Development
It may also suit self-taught learners who enjoy experimenting with AI tools, workflows, coding or productivity systems.
What You May Learn
Depending on current projects, you may gain practical exposure to:
- Identifying repetitive business tasks
- Mapping simple workflows
- Using AI to support research and decision-making
- Building basic automations
- Connecting different tools and platforms
- Working with APIs or webhooks where appropriate
- Using spreadsheets and databases within workflows
- Creating AI-assisted content or communication processes
- Supporting lead, marketing or admin workflows
- Testing automations and identifying where they fail
- Improving workflows based on feedback
- Understanding when a process should remain human-led
- Documenting how a workflow works
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Areas You May Explore
AI-Assisted Workflows
Explore how AI can support areas such as:
- Research
- Content preparation
- Data organisation
- Lead handling
- Internal communication
- Reporting
- Customer or community communication
- Information summarisation
No-Code & Low-Code Automation
You may explore tools such as:
- Zapier
- Make
- n8n
- Google Sheets
- Airtable
- Forms
- CRM systems
- Other workflow tools
The aim is not to become dependent on one platform, but to understand how automation logic works.
Coding & Integrations
If you already have technical experience, you may also have opportunities to explore:
- Python
- JavaScript
- APIs
- Webhooks
- Simple scripts
- Data processing
- Connecting services together
Coding experience is useful, but not required for every participant.
Learn Through Real Startup Problems
Rather than working only on theoretical exercises, you may gain exposure to real questions such as:
- Can this repetitive process be automated?
- Where is the team spending unnecessary time?
- Can information move between tools automatically?
- Could AI help organise or categorise this data?
- How can we reduce manual steps without reducing quality?
- Where does human judgement still matter?
- How should an automation be tested before it is relied upon?
This gives you the opportunity to develop both technical thinking and business judgement.
Where This Experience Could Take You
This internship may be useful if you are exploring future careers such as:
- AI Automation Specialist
- Automation Engineer
- AI Operations Associate
- No-Code / Low-Code Developer
- Business Systems Analyst
- Solutions Analyst
- Junior Developer
- Digital Transformation Analyst
- Operations Analyst
- Marketing Automation Specialist
- CRM Automation Specialist
- AI Product or Operations Associate
- Technical Consultant
- Startup Founder
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It may also be useful if you want to build your own business and understand how AI and automation can help small teams operate more efficiently.
Who May Enjoy This Experience
You may enjoy this opportunity if you:
- Like solving problems
- Enjoy figuring out how systems work
- Get curious when you see repetitive tasks
- Like experimenting with technology
- Are comfortable learning through trial and error
- Are willing to troubleshoot when something breaks
- Can research independently
- Are open to feedback
- Enjoy both technical thinking and business problems
- Want to understand how AI can be used practically rather than only theoretically
You do not need to know everything from day one.
The internship is designed to help you learn, experiment, ask questions and gradually build confidence through practical exposure.
Time Commitment & Format
- Duration: 6 months
- Typical Commitment: Approximately 15–20 hours per week
- Format: Remote-first, with optional in-person collaboration in London
- Schedule: Flexible, with one weekly team meeting
The internship is designed to support learning alongside studies, professional development or part-time work.
Important Information
This is an UNPAID learning and development internship focused on practical exposure, mentorship, guided projects and professional development.
It is intended for individuals who want to develop their understanding of AI, automation, workflows and startup technology in a practical environment.
The internship is voluntary and flexible to support learning alongside other commitments.
Participation does not guarantee future employment or a paid position.
We aim to provide a supportive environment where participants can experiment, ask questions, receive feedback, learn from mistakes and develop practical technical confidence.
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