The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
Primary offer
AI Build Blueprint
A structured architecture and delivery plan for teams building reliable AI systems, automation and AI-enabled products.
Not sure yet whether AI is even the right starting point? Try the free AI Opportunity Finder first.
Blueprint signal
Architecture, AI, QA, deployment and monitoring
ArchitectureAI systemsWorkflowDataGuardrailsQADeploymentMonitoring
Who it is for
- Teams deciding whether AI belongs in a product or workflow
- Founders turning a product idea into a buildable MVP
- Commerce, gaming or operations teams with integration-heavy needs
Who may only need a normal sales call
- You already have a fixed scope and only need staffing
- You need a small website update without system decisions
- You are comparing broad options before sharing enough context
Trigger situations
- The idea is promising but the architecture is unclear
- AI is being considered but risks and data boundaries are not mapped
- Existing tools, APIs or teams need to connect cleanly
Inputs Daphnis needs
- Business workflow
- Current systems
- User roles
- Known constraints
- Desired outcome
- Any available artefacts
Exact deliverables
- System boundary
- Integration map
- AI and non-AI decision notes
- Risk and guardrail review
- Staged delivery recommendation
- Open decisions list
Commercial classification
- The Blueprint is a planning engagement
- Implementation scope is confirmed separately
- Commercial terms require owner-approved agreement language
Decision method
AI where it helps. Deterministic software where it matters.
The Blueprint separates AI components from rules, records, permissions, financial logic, integrations and release controls so the system can be reviewed before implementation.
business workflow
system boundary
data sources
AI component
deterministic components
permissions and controls
delivery track
owner decisions
Risk and guardrail review
The plan identifies permission boundaries, approval points, fallback paths, logging, test expectations and open questions.
Automated versus senior-reviewed work
AI can help prepare options and artefacts, but architecture, risk, commercial assumptions and release decisions are senior-reviewed.
Confidentiality and data handling
Sensitive material should be shared through the agreed intake process. Final confidentiality terms belong in approved engagement documents.
FAQ
Before you start
Is this an implementation quote?
No. It is a planning path that clarifies what should be built before implementation scope is confirmed.
Does every Blueprint include AI?
No. It decides where AI is useful, where deterministic software is safer, and what controls are required.
Can you use existing artefacts?
Yes. Briefs, diagrams, analytics, code notes and workflow exports can all improve the plan.
Workflow
Boundary
AI
Controls
Track
