Serious B2B businesses will not try to create a solution using AI - This is why. [i will not promote]

After architecting and developing multiple B2B SaaS platforms and resolving countless challenges, here's why I don't think a proper B2B solution can be developed using AI.

You must have senior tech-folks in your teams - even if you choose to leverage AI for expediting some code generation. This isn't theory - this is battle-tested reality. You can use this as a template if you're building one.

Core Considerations:

1. Multi-Tenancy Foundation (B2B)

• Proper tenant isolation at every layer (data, compute, networking)
• Flexible deployment models (pooled vs. silo) based on customer tier
• Tenant-aware everything (logging, metrics, tracing)

1. Identity & Security (B2B/Standalone)

• Enterprise-grade authentication, often with SSO support
• Role-based access control (RBAC) at tenant level (may need dynamic policy generation for resource access)
• Audit trails for all system actions (specially if you're in a regulated domain)

1. Client/Tenant Management (B2B)

• Self-service onboarding with admin approval workflows
• Automated tenant provisioning/deprovisioning
• Tenant-specific configurations and customizations
• Cross-tenant analytics and administration

1. Operational Excellence (B2B/Standalone)

• Zero-downtime deployments (helps with canary releases)
• Tenant-isolated debugging capabilities
• Resource quotas and throttling by tenant tier
• Automated backup and disaster recovery per tenant

1. Scalability Architecture (B2B)

• Independent scaling of tenant workloads
• Resource isolation for "noisy neighbor" prevention
• Tier-based performance guarantees (SLAs)
• Dynamic resource allocation

Each of these topics can be as complicated as you can think of - depends on the solution you're building. I have seen many seasoned architects and developers struggle also because of their "single-tenant" mindset.

Here are some common pitfalls to avoid (B2B/Standalone):

• Standalone - mindset in database design
• Hard-coded configurations
• Lack of context in logging/monitoring
• Insufficient tenant isolation in shared services (B2B)
• Missing tenant-aware cost allocation (B2B)

You need people great with infrastructure as well. They need to consider:

• Tenant-aware routing (API Gateway or whatever you're using)
• Code with isolation when/if required
• Data storage with proper partitioning
• Shared services vs. dedicated services strategy

There are a number of common problems I have seen people often make. Often it's because of a pressure from high above. But every architectural decision must considered in terms of the solution you're building. In many cases, security cannot be bolted on later, observability must be tenant-aware from day one, operations must scale.

This is just the foundation. Your actual business logic sits ON TOP of all this.

Now, would you think these can be done by AI? I'll be waiting for that day. :-)