01
The first schema outlives the first design
Interfaces are cheap to redesign. A data model that cannot express multi-tenancy, entitlements or audit does not get cheaper to fix.
Industry
SaaS & Startups
Software businesses building their own product. The first version is rarely the hard part — the expensive part is the schema that cannot express what the business needs eighteen months later.
- Sector
- SaaS & startups
- Projects delivered
- 3 systems
- Pressures
- 4 core constraints
- Capabilities
- 3 disciplines
Sector Delivery Scope
4 Specialized Systems
Featured Sector Deployment
CRM
Customer and pipeline workspace
MENA● Live Platform
Architectural Modules
- Multi-tenant product foundations
- Revenue infrastructure
- Operations console
Operational Constraints
What makes saas & startups hard.
Get the domain model right while it is still cheap
02
Billing is not a later concern
Plans, entitlements and usage metering are structural. Retrofitting them usually means a migration at the worst possible time.
03
Supportability decides adoption
A feature nobody can debug or correct in production becomes a liability the team routes around rather than uses.
04
Scope expands faster than runway
The discipline is choosing the vertical slice that proves the thesis, and resisting the rest until it is validated.
Architecture & Systems
The systems that answer those pressures.
System 01PRODUCTION SCOPE
Multi-tenant product foundations
Tenancy, permissioning, authentication and audit designed for the roadmap rather than the demo.
System 02PRODUCTION SCOPE
Revenue infrastructure
Plans, entitlements, usage metering and gateway integration that reconciles with the invoice.
System 03PRODUCTION SCOPE
Operations console
The admin surface your support team needs on launch day — review, correction, refunds, impersonation with audit.
System 04PRODUCTION SCOPE
API and integrations
A public API and documented integration surface so partners can build without blocking your roadmap.
Proof
Delivered in saas & startups.
Method
Five phases, adapted to the sector's risk.
- 01
Phase 01: Diagnose
1 — 2 weeksWe look at the actual system, the actual data and the actual workflow before proposing anything. Output is a written assessment: where the constraint really is, what it costs you today, and the options ranked by cost and risk.
Outputs
4 deliverables- Technical and process assessment
- Constraint identified and quantified
- Options with cost, timeline and risk
- A recommendation we are willing to defend
- 02
Phase 02: Architect
1 — 3 weeksDomain model, route and data architecture, integration boundaries and non-functional requirements agreed in writing. This is the cheapest place to be wrong, so we spend the time here rather than discovering it in month four.
Outputs
4 deliverables- Domain and data model
- Architecture decision record
- Integration and API contracts
- Performance budget and acceptance criteria
- 03
Phase 03: Build
4 — 16 weeksTwo-week cycles against a live environment you can open at any time. No screenshot theatre — you review working software with realistic data, and priorities can be reordered between cycles.
Outputs
4 deliverables- Working software every two weeks
- Live staging environment from week one
- Cycle reviews with a written summary
- Visible backlog with priority agreed with you
- 04
Phase 04: Harden
1 — 3 weeksThe unglamorous work that decides whether launch is calm: permissions reviewed, error paths exercised, performance measured against the budget, migrations rehearsed and reversed.
Outputs
4 deliverables- Security and permission review
- Performance and load verification
- Migration rehearsal with rollback
- Monitoring, alerting and error tracking
- 05
Phase 05: Operate
OngoingLaunch is a checkpoint, not an ending. Under a retainer we watch real traffic, fix what the data exposes, and keep shipping the next increment of value.
Outputs
4 deliverables- Production monitoring and incident response
- Iteration on measured behaviour
- Documentation kept current
- Handover to your team whenever you choose