Generative AI Development

Generative AI Development for Copilots, Content, and Automation

StackPlus builds generative AI into products and internal tools using LLMs, retrieval, and workflow design. We focus on useful outputs, governance, and integration with your existing stack.

  • Custom copilots and assistant experiences
  • RAG over documents, wikis, and ticket history
  • Structured generation for ops and customer workflows
  • Guardrails, logging, and access controls
  • Canadian team with generative AI product delivery
GenAI platform dashboard with LLM copilot, RAG sources, structured JSON output, guardrails, and usage metrics
25+GenAI products launched
Governed generation
Generative AI copilot workspace for document drafting with AI-suggested rewrites, brand tone controls, and approval workflow

Generative AI Products

Generative AI Features Your Users Will Actually Adopt

We build LLM-powered copilots, content tools, and automation flows with guardrails, context, and UX that fit how your team works.

  • RAG over private documents and knowledge bases
  • Structured outputs for forms, JSON, and workflows
  • Safety filters, logging, and human review hooks

Generative AI Expertise

Specialized AI delivery across modeling, integration, and operations.

LLM Copilots

Assist users inside your product with context-aware help.

RAG Systems

Ground answers in private, up-to-date knowledge.

Content Generation

Draft marketing, support, and ops content at scale.

Workflow Automation

Chain LLM steps with approvals and tools.

Fine-Tuning

Adapt models to brand voice and domain language.

AI Safety Layers

Filters, policies, and audit trails for outputs.

Generative AI Products We Ship

Copilots, content tools, and workflow assistants with governance built in from day one.

GenAI content studio with brand-aware email, blog, and social caption draftingGenAI

Content Copilots

Internal knowledge assistant with RAG citations and document source previewsRAG

Knowledge AI

Multi-step GenAI workflow builder with CRM, ticketing, and approval gatesAutomation

Workflow AI

Our Generative AI Development Process

A practical path from problem framing to production AI, with clear milestones and measurable outcomes.

01

Use Case Discovery

We define the business problem, success metrics, data availability, and constraints before model work begins.

02

Data Assessment

Data quality, labeling needs, privacy requirements, and pipeline gaps are mapped into an actionable plan.

03

Model Strategy

We choose the right approach: classical ML, deep learning, LLMs, or hybrid systems based on ROI and risk.

04

Prototype & Validation

Experiments, benchmarks, and stakeholder reviews to prove value before full product integration.

05

Product Integration

APIs, dashboards, workflows, and guardrails that make AI usable inside real business operations.

06

MLOps & Monitoring

Deployment pipelines, drift detection, logging, and retraining plans for reliable production behavior.

07

Improvement & Support

Ongoing tuning, new data ingestion, and feature expansion as usage and business needs evolve.

Let's Talk About Your AI Project

Not sure if your use case needs custom models, LLM integration, or a phased pilot? Book a free 30-minute call and we will scope the right AI approach with honest timelines and budget guidance.

Let's Discuss Your AI Strategy

Generative AI Services

End-to-end services from discovery through production support.

GenAI Strategy

Identify high-ROI copilot and automation opportunities.

Custom GenAI Apps

Full product features powered by LLMs.

Enterprise RAG

Secure search and Q&A over internal data.

Prompt & Tool Design

Reliable chains with function calling and validation.

GenAI Integration

Connect to CRMs, ticketing, and data warehouses.

GenAI Support

Tune prompts, models, and retrieval as usage grows.

Generative AI Technology Stack

Modern tools for experimentation, deployment, and reliable AI in production.

Generative AI engineering stack with LLM models, LangChain, vector search, and guardrails pipeline

LLMs

OpenAIClaudeGeminiLlamaMistral

Orchestration

LangChainLlamaIndexCustom AgentsFunction Calling

Retrieval

PineconeWeaviatepgvectorElasticsearch

App Layer

Next.jsReactFastAPINode.jsPython

Governance

GuardrailsLoggingRBACContent Filters

Industries Using AI & ML

Intelligent systems tailored to sector-specific data, compliance, and workflow needs.

Healthcare

Clinical support, triage, imaging analysis, and operational automation.

Fintech

Fraud detection, risk scoring, forecasting, and document intelligence.

E-Commerce

Recommendations, demand forecasting, and customer support automation.

Manufacturing

Quality inspection, predictive maintenance, and supply chain optimization.

Logistics

Route optimization, ETA prediction, and warehouse intelligence.

Professional Services

Document processing, knowledge search, and workflow copilots.

Education

Adaptive learning, content generation, and student support tools.

SaaS & Startups

AI features inside products, from MVPs to enterprise scale.

Generative AI Solutions

Outcomes that connect AI capability to measurable business impact.

Support Copilots web solution example

Support Copilots

Draft replies grounded in policies and past tickets.

Sales Enablement web solution example

Sales Enablement

Generate proposals and follow-ups faster.

Internal Knowledge AI web solution example

Internal Knowledge AI

Help staff find answers without searching five systems.

Why Businesses Choose StackPlus for Generative AI Development

A partner focused on practical AI delivery, not hype-driven experiments that never reach production.

Production-First Mindset

We design for monitoring, governance, and maintainability from day one.

Business Outcomes Over Models

Model choice follows ROI, accuracy needs, and operational constraints.

Full-Stack AI Delivery

Data pipelines, models, APIs, and product UX owned by one accountable team.

Canadian Accountability

Direct communication, transparent milestones, and support you can rely on.

GenAI product workshop with user journey map, copilot touchpoints, risk checklist, and launch timeline
25+GenAI Launches
RAGEnterprise Knowledge
SafeGuardrailed Outputs
APIEmbeddable Copilots

Frequently Asked Questions

Ready to Build Generative AI?

Describe the workflows you want to accelerate. We will propose a practical GenAI roadmap.

Start Your GenAI Project