AI Software Development & Automation Services
Build AI features and workflow automation around the systems your business already uses. Work directly with Bill on the application, data, integrations, testing, and operating behavior that make the feature useful to your team.
AI-augmented software engineering combines AI-assisted implementation with Bill's architecture decisions, code review, and testing. Apply it to application features, backend integrations, and operational workflows with direct technical ownership.
Discuss Your AI Project
AI Assisted Development / AI Workflow Automation Specialist
We offer AI assisted development and specialist AI workflow automation for workflow discovery, architecture, implementation, evaluation, and rollout. Explore how we work alongside your team and what an initial engagement can produce.
Explore AI Assisted Development & Workflow AutomationAI Systems We Build
AI-Powered Applications
GPT-integrated platforms, AI-assisted workflows, intelligent search systems, conversational interfaces, and AI-enhanced mobile or web applications.
AI Integration ConsultingWorkflow Automation
Operational automation systems, CRM integrations, reporting pipelines, internal tools, and AI-assisted business process automation.
Explore ToolsBackend AI Infrastructure
Node.js APIs, Firebase systems, vector search, retrieval workflows, data pipelines, and scalable backend architecture.
Read Infrastructure GuideAgent Stack Evaluation
Hosted frontier models, open or self-hosted models, hybrid routing, evals, cost controls, data boundaries, and reliability tradeoffs.
Evaluate Your AI StackCoding AI Portal: Intake and Architecture
An internal prototype exploring how a consulting assistant could turn a software question into a useful intake brief and human handoff. The page demonstrates the workflow and describes a proposed local-model architecture with retrieval, evaluation, access controls, and a custom API.
View the Prototype and Architecture Discuss an AI IntegrationEngineering Around the AI Model
An AI feature depends on the software around the model: access to the right data, reliable interfaces, clear permissions, testable behavior, and a plan for handling mistakes. Those are engineering and product decisions as well as model decisions.
Successful AI applications require scalable backend systems, good data flow design, maintainable infrastructure, operational reliability, and thoughtful product integration.
The model decision is now an architecture decision. Teams need to know when to use hosted frontier APIs, when open or self-hosted models make sense, and when hybrid routing is the practical answer.
Bill Vivino Technology helps startups and businesses evaluate AI prototypes, build integrations, and prepare a controlled rollout. For teams that need product and architecture direction for an active build before implementation, see fractional CTO and technical advisory support.
Common AI & Automation Problems We Help Solve
- Prototypes with unclear release readiness
- GPT integrations without scalable architecture
- No clear model-routing or evaluation strategy
- Workflow automation bottlenecks
- Backend systems becoming difficult to maintain
- Disconnected APIs and operational tooling
- Scaling AI applications beyond prototypes
- Firebase and backend infrastructure complexity
- Poor operational visibility and reporting
- AI features lacking product integration
- Technical debt from rushed implementations
AI Development Capabilities
Model & Agent Routing
Hosted APIs, open/self-hosted models, hybrid routing, evals, and operational AI tooling.
View AI ConsultingBackend Systems
Node.js APIs, Firebase architecture, scalable data systems, and cloud infrastructure.
Open Decision ToolOperational Automation
Internal tooling, reporting systems, CRM automation, and workflow orchestration.
Try EstimatorSystem Stabilization
Improve maintainability, scalability, and operational reliability as complexity grows.
Run Architecture CheckRelated Software Development Insights
Commentary on AI-assisted development, software complexity, and modern engineering systems.
When Should You Hire a Software Developer in 2026?
Decide when AI alone is enough, when a focused review is enough, and when a product needs sustained engineering ownership.
Read ArticleAI Coding Agents Need an Engineering Review Loop
See how context, review, and verification turn AI-generated progress into trustworthy software.
Read ArticleNeed Help Building or Stabilizing AI Software Systems?
Work directly with a senior software engineer on AI-integrated applications, backend systems, workflow automation, and scalable software architecture.
Discuss Your AI Workflow