Full-Stack AI Applications
We design and build complete product surfaces—APIs, web apps, and AI features—with clear boundaries between UX, application logic, and model services so your team ships fast without painting into an architectural corner.
Full-stack AI applications your users can rely on.
Phases
4-phase program
Timeline
8–14 weeks depending on surfaces and integrations
Outcomes
3 target deliverables
Problem framing
Where teams lose leverage
AI demos bolted onto brittle monoliths collapse under real traffic, security review, and evolving model requirements. You need full-stack delivery with architecture that grows with the business.
- 1
Unclear boundaries between UI, APIs, and model services slow every release.
- 2
Monoliths make it hard to scale retrieval, agents, and transactional workloads independently.
- 3
Security and observability are retrofitted instead of designed in from day one.
Target outcomes
What this engagement delivers
Layered architecture with documented APIs and ownership boundaries
Microservices or modular services sized to your stage—not premature complexity
Production deployment paths with CI/CD, monitoring, and KT-ready documentation
Scope
Deliverables we commit in writing
Exact backlog is tailored in discovery; below is representative of what enterprise buyers typically require for acceptance.
System design and planning aligned to current needs and future growth
Microservices, event-driven, and API gateway patterns where they earn their cost
Presentation, business logic, and data layers with clear contracts
Deployment targets your team already uses—containers, serverless, or managed runtimes
High availability, performance tuning, and security architecture by design
Program structure
Phased delivery model
Milestones map to artifacts you can review with engineering, security, and finance stakeholders.
Week 1–2
Requirements & architecture
Business goals, technical constraints, and reference architecture.
Weeks 2–8
Core build
APIs, frontends, AI feature wiring, and integration with your data plane.
Weeks 8–10
Hardening
Load testing, security review pack, and observability.
Week 10+
Launch & handoff
Production cutover, runbooks, and engineering KT to your team.
Reference view
Logical architecture
Your production topology will reflect your cloud, identity, and data residency choices — this diagram communicates control points and trust boundaries we design around.
Technology
Typical stack (vendor-neutral)
We standardize on primitives your team can operate — and avoid stack-lock where it hurts maintainability after handoff.
Indicative timeline
Typical product programs: 8–14 weeks depending on surfaces and integrations
Final scope depends on your data maturity, integration count, and compliance requirements — all defined in the written SOW.
Get a scoped estimateGovernance
Security and compliance posture
We implement technical controls and documentation suitable for enterprise procurement — not checkbox theater.
Defense-in-depth: authN/Z, encryption, and audit-friendly logging
Environment separation (dev / staging / prod) with promotion workflows
Architecture decision records your team can extend after handoff
Procurement
Statements of work, change control, and optional penetration-test windows are scoped explicitly. Legal sign-off remains with your counsel.
FAQ
Technical and commercial questions
Full-Stack AI Applications
Ready to scope this engagement?
Thirty-minute discovery call. Fixed written scope within a week. No open-ended hourly burn.