AI DEVELOPMENT SERVICES
AI Development Services for Companies That Ship AI to Production
Custom AI development, generative AI, agents, chatbots, and LLMs – built end to end by an AI development agency with 14+ years of engineering discipline behind
every release.
Monthly AI Deployments
AI development services cover the end-to-end build of artificial intelligence systems for businesses that need production-ready deployments, not disconnected prototypes or demo-stage experiments. WebDesk Solution scopes, builds, ships, and operates AI systems where the model, integrations, workflows, UI, automation, and monitoring work together in real-world environments. Our team has delivered documented AI solutions across healthcare, sports analytics, and eCommerce using the same engineering discipline and SDLC process we have applied to software development since 2011. Projects start at $10K.
PROOF
Trusted by 500+ Brands Across North America
Proof, not promises. These are the brands that chose us, the platforms that vetted us, and the review sites where our clients posted verified scores.
14+ years. 500+ clients. Two offices across North America. The kind of track record you cannot manufacture in a pitch deck.
THE CHALLENGE
AI That Looked Good in a Demo and Died in Production
Most AI projects fail the same way. A proof of concept gets built, stakeholders get excited, and then the production launch stretches from weeks into quarters. Models degrade on real data. Integrations break. Security and compliance surface late. The team that built the POC doesn’t know how to operate it. Nine months later, the AI feature everyone was going to ship has become a liability no one wants to own.
WebDesk Solution is the AI development agency for companies that want to skip that arc. We scope, build, ship, and operate AI systems using the same engineering discipline we’ve applied to production software for 14+ years – not the hype-driven shortcuts that killed the last wave of AI pilots. Our deliverable is a working AI system in production, not a deck.
WHAT WE BUILD
AI Development Services We Offer
We cover the full AI development stack across nine service areas. Every service card below routes to a dedicated sub-page where we go deep on that capability – this hub exists to help you find the right one.
Generative AI Development
Custom generative AI applications, RAG systems, and content-generation workflows for B2B teams. We build on GPT-4, Claude, Gemini, and open-source foundations – picking the right model for your data, latency, and cost profile.
Learn More →AI Agent Development
Autonomous and semi-autonomous agents for support, sales operations, research, and internal workflows. Our voice agent engagements are powered by Rossy AI, our proprietary voice AI platform.
Learn More →AI Chatbot Development Services
Custom chatbots with deep platform integration – CRM, helpdesk, eCommerce, ERP. Not templated widgets; built to handle the specific transactions your customers actually complete.
Learn More →AI Consulting
AI readiness assessment, architecture planning, build-vs-buy analysis, and ROI modeling. Useful when you know AI belongs somewhere in the roadmap but you’re not sure where to start.
Learn More →Claude & LLM Application Development
Application development on Anthropic’s Claude and other frontier models, with production tooling, evaluation frameworks, and monitoring built in.
Learn More →eCommerce AI Solutions
AI-powered search, personalization, product-feed automation, and dynamic merchandising for Shopify, BigCommerce, Magento, and WooCommerce stores.
Learn More →Custom LLM Development
Private LLMs trained on your internal process data and product data – never exposed to public models. For enterprise clients who can’t send proprietary data through third-party APIs. Supports fine-tuning on Llama, Mistral, and open-source foundations, with on-premise or air-gapped deployment.
AI Integration Services
Embedding AI into existing business systems, customer workflows, and operational platforms – enabling AI models, automation, search, and decision-making capabilities to work seamlessly inside real production environments instead of disconnected tools..
AI Automation
Workflow automation combining LLMs, AI agents, RPA, and custom API orchestration – built to eliminate repetitive manual processes, reduce operational overhead, and improve execution speed across business operations.
TOOLS & INFRASTRUCTURE
AI Tech Stack, Platforms, and Our Own Products
The tools we build with span the full AI development stack. The specific combination depends on your data, compliance profile, and target deployment environment – we pick per engagement, not per trend.
GPT-4, Claude, Gemini, Llama, open-source fine-tunes
LangChain, LlamaIndex, Semantic Kernel, custom RAG pipelines
AWS (Bedrock, SageMaker), Azure OpenAI, GCP Vertex AI
Pinecone, Weaviate, pgvector, Chroma
Zapier, Make, n8n, custom API orchestration
Node.js, Python, React, PostgreSQL, Redis
Our AI Platforms (webdesk-owned)
Rossy AI – Voice AI Platform
Rossy AI is our proprietary voice AI platform for deploying production voice agents in sales, support, and operations contexts. Built to integrate natively with CRMs, helpdesk systems, and telephony stacks, Rossy AI gives enterprise teams a ready-made foundation for voice AI – without the typical pain of assembling three or four vendor tools just to get a working agent.
Rossy AI Voice Platform
VERTICALS
Industries We Serve With AI Development
We name industries where we have documented case study proof, or where we have active engagements in flight. No speculative verticals.
eCommerce & Retail
AI-powered product search, personalization, dynamic merchandising. Proven with Outdoor Limited’s BigCommerce AI search deployment.
Healthcare
AI patient intake, clinical workflow automation, HIPAA-compliant LLM applications. Proven with CareNovex’s WordPress + WooCommerce patient portal.
Sports Analytics
Real-time AI inference for injury risk and predictive modeling. Proven with the Inside Injuries trilogy – three engagements across stabilization, modernization, and maintenance.
Home Services & Skilled Trades
AI lead qualification, appointment-booking agents, and customer intake automation. HVAC and skilled-trade experience across our Infiniti Home Comfort engagement and adjacent work.
Restaurant
AI menu personalization, reservation agents, voice ordering, and review-response automation. Emerging practice area – currently scoping first engagement.
Schools & Education
AI tutoring integrations, admissions chatbots, and LMS intelligence. Emerging practice area – currently scoping first engagement.
HOW WE WORK
Our Agile AI Engineering Methodology
Our AI development services engagements run on an agile, iterative methodology built to eliminate delays, manage risk, and deliver production-ready systems in less time – without compromising quality. Seven named phases, each with a defined output and a handoff criterion. We don’t move forward without them.
Discovery & Insight Gathering
Stakeholder interviews, workflow mapping, success-criteria definition, and a constraints audit (data, compliance, infrastructure, budget). Output: a written discovery report with a scope hypothesis – signed before any code gets written.
Data Acquisition & Preparation
Data source identification, extraction pipelines, cleaning, labeling, privacy scrubbing, and train/test split setup. Output: versioned dataset with a data dictionary. This is where most AI projects quietly fail; we give it real time.
Model Development & Experimentation
Baseline models, architecture selection, prompt engineering for LLM tasks, RAG pipeline design, and A/B framework setup. Output: working prototype with an experiment log that shows what we tried, what worked, and what didn’t.
Training & Model Optimization
Fine-tuning, hyperparameter search, inference optimization, and cost-performance tuning. Output: production-candidate model with an evaluation scorecard against the success criteria from Phase 1.
Validation, Security & Compliance
Adversarial testing, bias audit, PII scanning, HIPAA / SOC 2 / GDPR compliance review, red-team prompt injection testing, and security architecture review. Output: signed compliance and security attestation. Mandatory before deployment. This is the phase that most agencies skip and most enterprise AI projects need.
Deployment & Integration
Production deployment, API integration with existing systems (CRM, ERP, eCommerce, helpdesk), load testing, and a rollback plan. Output: live production system with a runbook that anyone on your team can operate.
Monitoring, Support & Improvement
Production monitoring, drift detection, model retraining cadence, feature extension, and incident response. Output: monthly health report with a retraining schedule. Most engagements renew into this phase.
No sales pitch – just a 15-minute technical scoping conversation.
PROOF POINTS
AI Development Case Studies
Three named wins across three industries. Every AI development services engagement below was scoped, built, and shipped to production by our team – not subcontracted, not white-labeled. These are the proof points behind the AI development services we offer.
25%
increase in registration conversions
Inside Injuries
AI sports injury platform modernization
Read The Inside Injuries Case Study →AI Portal
Medical Weight-Loss Platform Launched
CareNovex
AI healthcare portal — WordPress + WooCommerce
Read The CareNovex Case Study →Stabilized
AWS Infrastructure Stabilized + Secured
Inside Injuries
AI sports platform — AWS Node/React stabilization
Read The Inside Injuries Case Study →Why Choose WebDesk Solution as Your AI
Development Agency
Most AI agencies sell you on potential. We sell on production. We’re the AI development partner for teams that have been burned by AI pilots that never shipped – because we were shipping software to paying customers for 14+ years before the current AI cycle started, and we apply the same engineering discipline to AI work.
Production-first, not prototype-first
Every AI engagement is scoped with a production deployment plan from day one. The Inside Injuries sports AI platform runs 24/7 inference on live data – that’s what production looks like, and that’s what we scope toward from the discovery call.
14+ years of shipped software before the current AI cycle
We apply mature SDLC practices – code review, CI/CD, monitoring, rollback plans – to AI work. Table stakes for production; rare in AI shops that emerged in the last 24 months. 500+ clients across 14+ years is the audit trail.
AI embedded in revenue systems, not bolted on
We integrate AI into the operational systems that actually drive revenue – eCommerce search, patient intake, sales pipelines. The Outdoor Limited AI search sits inside the BigCommerce storefront, not in a standalone widget no one uses.
Full-stack AI delivery (not just models)
We ship the model, the UI, the API, the data pipeline, and the monitoring. One accountable team. You don’t assemble a winning AI product from three vendors – and you shouldn’t have to.
North American engagement with US and Canadian presence
Offices in Great Neck, NY and Toronto, ON. US and Canadian business-hour overlap for decisions, reviews, and QA. Responsive account management without the mid-tier US agency price tag.
Platform specialists, not generalists
Our AI practice is rooted in specific platforms we’ve worked in for over a decade – WordPress, Magento, BigCommerce, Shopify, WooCommerce, Node/React. When we integrate AI into these, we know where the edges are because we built on the edges before.
HOW TO ENGAGE
Engagement Models
We structure AI development services engagements four ways. The right model depends on scope clarity, team capacity on your side, and how much of the work you want to own long-term. We’ll recommend the right fit during discovery – not lock you in before we understand what you’re building.
Discovery Sprint
Short, defined engagement focused on scoping, feasibility, and architecture. Written output with a build-vs-buy recommendation and a scoped production plan. No code is shipped. Best fit for teams evaluating an AI investment who need an independent technical perspective before committing a larger budget.
Fixed Scope Project
Defined deliverable, defined milestones, defined acceptance criteria. Weekly demos. We own the work end to end through production deployment. Best fit for well-understood AI builds – “integrate AI search into our BigCommerce store,” “deploy an AI patient intake flow.”
Dedicated Team
A committed squad – AI engineers, backend, frontend, project management – embedded with your team for 3–12 months. Weekly sprints, your priorities, your roadmap. Best fit for ongoing AI product development where scope evolves and you need execution capacity, not a one-shot project.
Staff Augmentation
Senior AI engineers working directly with your existing engineering team. You manage; we deliver the specialist capacity. Best fit for teams with strong internal engineering that need AI-specific expertise – LLM tuning, RAG pipelines, production MLOps.
Not sure which model fits? Book a Scoping Call →
FREQUENTLY ASKED QUESTIONS
Frequently Asked Questions
How much does AI development cost?
What is AI development?
How do I hire an AI developer or AI development agency?
How is AI used in software development?
What is the AI development process?
What does an AI development services provider do?
How long does an AI development project take from scope to production?
How do you decide between a public LLM (OpenAI / Claude) and a custom LLM?
Can you integrate AI into my existing Shopify, Magento, WordPress, or custom platform?
What’s the difference between generative AI, AI agents, AI integration, and a custom LLM?
Do you offer a proof of concept before committing to a full build?
How do you ensure AI systems are reliable in production?
Do you handle data privacy and compliance (HIPAA, SOC 2, GDPR)?
Do you work with startups or only enterprises? What’s the smallest AI project you’ll take on?
RELATED SERVICES
More Ways We Can Help
Two adjacent pillars where AI engagements often extend or start from. We link these because the work overlaps in real engagements – not because cross-linking is a rule.
eCommerce Development Services
AI practice sits on top of eCommerce platform work. The Outdoor Limited case study is both an eCommerce migration and an AI search deployment.
Explore eCommerce →Custom Web Development
Custom AI features (chatbots, agents, integrations) typically ship inside custom web applications that our team builds end to end.
Explore Web Development →Ready to Ship AI to Production?
Most AI agencies will sell you a demo. We’d rather scope the path to production before you sign anything. Book a 30-minute AI scoping call and we’ll walk through what’s feasible on your stack, what it would cost, and whether the ROI actually pencils. If it doesn’t, we’ll tell you – that’s a more useful output than a proposal you can’t act on.
14+ years shipping software · 500+ clients · Offices in Great Neck, NY and Toronto, ON · Partners with AWS, Shopify, BigCommerce, Adobe Commerce, Klaviyo, Gorgias
INSIGHTS
From the AI Lab
Practical guides for business owners navigating AI – no hype, no jargon.