Solution Architecture is the system design process mapping high-level client business objectives to specific technology platforms, database schemas, and integration APIs. In pre-sales, it is the bridge between discovery and estimation.
A solid solution architecture flags database sizes, legacy limitations, and security compliance constraints early, turning vague goals into estimable, structured work units and protecting delivery margins.
Architecture Design Checklist
- Integration Mapping: Are all integration points, APIs, and rate limits documented?
- Data Migration: Is database migration scoped? Who is responsible for data cleaning?
- Performance Constraints: Are SLA requirements (latency, concurrency, uptime) defined and checked?
- Technical Exclusions: Are specific systems we will not touch listed in the out-of-scope section?
Paste a paragraph. We'll flag the leaks live.
How does solution architecture protect project margins?+
By surfacing technical risks and dependencies early. If an unproven integration or clean data issue is identified in architecture, it can price and assume in the SOW, rather than discovered as a delivery overrun.
What is the output of solution architecture in pre-sales?+
The output is a Solution Design document (system diagram, integration map, data flow) that serves as the direct input for the SOW scope and estimate.