Business Operations as a Service
Provides businesses with the tools and expertise they need to optimize their operations.
With BOaaS organisations outsource common business functions to a trusted third-party provider so that they can focus on their value proposition by provably moving the needle for their customers while benefiting from the specialized knowledge and resources of the service provider.
It is the Meta of the Matter that matters most
Related
- Jobs to be Done
- Protocols
- Standards
- Expectations
- Cost Centres
- Saas Products
- Human Strengths
- Work Roles
- Startups
Playbook
How to start a Business Operations as a Service business.
- Identify a target market with repetitive business processes that could benefit from outsourcing and automation. Financial services, insurance, tech companies, and other industries with data-heavy operations are good candidates.
- Develop a proprietary technology platform that can:
- Break down complex processes into discrete steps
- Integrate AI, automation tools, and human workers seamlessly
- Provide a user-friendly interface for clients to delegate tasks
- Offer robust security and compliance features
- Build a global workforce of skilled contractors:
- Recruit workers with diverse skill sets, including specialists and PhDs
- Implement a tiered structure (e.g. agents, specialists, partners)
- Offer equity or partnership opportunities to top performers
- Provide training and clear paths for advancement
- Create a pricing model based on outcomes rather than hourly rates:
- Charge per task completed or milestone achieved
- Align incentives with clients to drive efficiency and quality
- Develop expertise in process optimization:
- Analyze client workflows to identify inefficiencies
- Continuously look for opportunities to automate steps
- Balance human and AI capabilities for optimal results
- Implement strong data security and compliance measures:
- Obtain relevant certifications (e.g. SOC 2, GDPR, HIPAA)
- Use secure infrastructure and access controls
- Train workers on data handling best practices
- Foster a culture of ownership and innovation:
- Empower workers to make decisions and suggest improvements
- Encourage entrepreneurial thinking and problem-solving
- Align incentives through equity and performance-based compensation
- Focus on building long-term client relationships:
- Embed deeply with client operations
- Continuously adapt services to evolving client needs
- Demonstrate measurable ROI and strategic value
- Invest in AI and automation capabilities:
- Develop or acquire cutting-edge AI tools
- Create a library of pre-built automations
- Continuously improve AI models through human-in-the-loop training
- Scale strategically:
- Start with a core offering and expand services over time
- Consider creating specialized divisions for different industries or functions
- Look for opportunities to turn internal capabilities into new product lines
- Maintain a lean, agile structure:
- Minimize overhead and fixed costs
- Leverage remote work and global talent pools
- Stay adaptable to changing market conditions