Architecture
System blueprint, domain boundaries, API contracts, data model, eventing strategy, permissions/audit, and operational posture.
Design
System Design as a Service
Architecture, team building, and software leadership. Monthly.
A practical, agent-native way to design and ship systems when seats compress, integration must be near-zero, and software gets generated faster than teams can retrofit it.
Architecture & system strategy
Team building & hiring guidance
AI workflow & onboarding
Monthly retainer. Start with a short assessment, then move into a steady leadership cadence.
Outcome
0→1
Reduce integration time and move decisions earlier: contracts, permissions, events, data model, and operational posture.
Engagement
1
Monthly partner for architecture reviews, roadmap framing, technical leadership, and team execution rituals.
Focus
AI
Workflow-first design: agent boundaries, tool access, auditability, and safe onboarding for humans and agents.
What you get
System Design as a Service is a monthly engagement that combines architecture, team shaping, and software leadership to deliver reliable systems that fit your workflows.
Team Building
Team topology, roles and leveling, interview loops, onboarding plan, and “how we build” standards that keep output consistent.
People
Software Leadership
Technical decision-making, roadmap framing, delivery rituals, reviews, quality gates, and AI-assisted development practices.
Execution
Required assessment (the first mile)
Every engagement begins with a structured assessment to prevent expensive rework and to make integration time approach zero.
Requirements + use cases
clarity
- Business goals, constraints, and success metrics
- Use case inventory, edge cases, and exceptions
- Security/privacy requirements and audit expectations
Integration + existing systems
fit
- Current software map: APIs, data ownership, and workflows
- Migration and interoperability strategy
- Operational concerns: monitoring, reliability, and cost
AI workflow
agent-native
- Agent boundaries: tools, permissions, and data access
- Human-in-the-loop checkpoints and audit trails
- Failure modes, evaluation, and guardrails
Onboarding
adoption
- Role-based onboarding for humans and agent operators
- Docs that match the workflow (not the modules)
- Training plan and handoff for internal ownership
Why this matters now
SaaS assumptions are shifting: fewer humans touch the UI, agents do more work, and integration time is expected to approach zero.
This is the context behind Simplevision's System Design as a Service.
How it works
A monthly engagement that stays lightweight: fast assessment, clear artifacts, and consistent leadership cadence.
1. Assessment
start
- Working sessions + doc review
- System map, risks, and integration plan
- Initial architecture proposal and tradeoffs
2. Design artifacts
blueprints
- Contracts: APIs/events/permissions
- Data model and boundaries
- Operational posture: reliability and cost
3. Leadership cadence
monthly
- Architecture reviews and decision logs
- Delivery rituals and quality gates
- Coaching for tech leads and managers
4. Onboarding + scale
adoption
- Rollout plan + documentation
- AI workflow enablement
- Hiring plan and team topology updates
Services offered by Yair Cohen
System architect building software products for 25 years, used by tens of thousands of users across top organizations. I help teams make the hard technical decisions early, reduce integration drag, and ship systems that stay adaptable in an AI era.