AI Consulting & Implementation From Strategy to Deployment
We’re not just consultants who hand off a strategy deck, and we’re not just developers who build whatever’s requested. As an AI consulting company that also delivers full AI development and deployment, we start every engagement by diagnosing what your business actually needs, then design, build, deploy, and support the solution ourselves so nothing gets lost between strategy and execution.
Trusted by startups, SMBs, and enterprise teams to guide AI strategy and deliver production-ready AI systems start to finish, with one accountable team.
50+ AI engagements from strategy through deployment · 10+ industries served · 99.9% average deployment uptime · 100% of projects start with a consulting/discovery phase · 24/7 post-launch support & monitoring
Why Work With Agile Stormers
Working with us means gaining a long-term AI partner focused on delivering reliable, scalable, and future-ready solutions with a simple, business-driven approach.
- Consulting-led, not just development-led Every engagement starts with a clear business case, not a build order so investment goes toward what actually moves the needle.
- One accountable team, start to finish No hand-off between a strategy firm and a separate dev vendor. The people who design the solution also build, deploy, and support it.
- Full lifecycle capability Strategy, architecture, development, deployment, and ongoing support all delivered in-house, under one engagement.
- Governance and risk built in Every solution accounts for compliance, security, and long-term maintainability from day one, not just speed to launch.
Our AI Services
AI Strategy & Consulting
Before anything gets built, we help you understand where AI will actually move the needle for your business. This covers AI readiness and opportunity assessment, data and infrastructure audit, a prioritized roadmap with clear ROI targets, build vs. buy vs. integrate recommendations, business case development for leadership approval, and AI governance, risk, and compliance advisory.
Solution Design & Architecture
We translate strategy into a concrete technical plan before development begins solution architecture for ML, generative AI, and automation use cases, data architecture and pipeline design, model selection, integration planning with existing systems, and technical specifications for the delivery roadmap.
Custom AI & Machine Learning Development
We build predictive analytics and forecasting models, recommendation engines and personalization systems, classification and anomaly detection, fraud detection and risk scoring models, demand forecasting and inventory optimization, and custom model training, fine-tuning, and evaluation.
Generative AI Solutions
We build custom LLM-powered applications using GPT, Claude, Gemini, Llama, and other models, Retrieval-Augmented Generation (RAG) systems for grounded, accurate answers, AI content generation tools, document intelligence and summarization, prompt engineering and fine-tuning for domain-specific accuracy, and internal AI copilots and assistants.
Conversational AI, Chatbots & Virtual Assistants
We build customer support chatbots across web, mobile, WhatsApp, and messaging platforms, internal knowledge-base assistants and employee copilots, voice assistants and IVR automation, multilingual conversational AI, human-in-the-loop escalation workflows, and integration with CRM, helpdesk, and ticketing systems.
Intelligent Process Automation (AI + RPA)
We deliver workflow automation powered by AI decision-making, document processing and data extraction for invoices, contracts, and forms, email and ticket triage and auto-routing, AI-assisted quality assurance and compliance checks, and end-to-end business process automation.
Computer Vision
We build object detection, recognition, and tracking, quality control and defect detection for manufacturing, OCR and document/image data extraction, video analytics, and medical imaging analysis support.
Natural Language Processing (NLP)
We deliver sentiment analysis and customer feedback mining, text classification and entity extraction, language translation and localization, text summarization, and semantic search.
AI Integration & Embedded Intelligence
Already have a product or platform? We add AI features to existing SaaS or enterprise software, integrate via API with third-party AI services, modernize legacy systems with AI capabilities, and build AI-powered analytics dashboards.
Data Engineering & Preparation
We handle data pipeline design and ETL development, data cleaning, labeling, and structuring, data warehouse and lake architecture, and real-time data streaming for AI applications.
Deployment & MLOps
We deploy models to cloud, on-premise, edge, or hybrid environments, build CI/CD pipelines for machine learning, set up model monitoring, drift detection, and retraining, and manage scalability, performance, security, and versioning.
Ongoing Support, Optimization & Advisory
Our role continues after go-live ongoing model performance monitoring and retraining, cost optimization for AI infrastructure, continued strategic advisory as your needs evolve, and SLA-backed support plans.
Our Process
Our delivery framework is built to provide clarity, transparency, and consistent results. From initial planning to ongoing optimization, every phase is designed to maximize value and minimize uncertainty.
Consult
We assess your business goals, data landscape, and technical environment, and identify where AI will create measurable impact. Nothing gets built until this is clear.
Design
We define the solution architecture, choose the right models and tools, and map out data requirements, success metrics, and timelines.
Build
Our engineers and data scientists develop, train, and test the solution in iterative sprints, with regular checkpoints and demos the same team that shaped the strategy.
Validate
We rigorously test for accuracy, bias, performance, and edge cases before anything reaches production.
Deploy
We launch the solution into your environment cloud, on-premise, or hybrid with proper monitoring and rollback plans in place.
Support & Advise
Post-launch, we monitor performance, retrain models as needed, and stay engaged as your ongoing AI advisor for what comes next.
Start with a Conversation, Not a Contract
Book a free consultation and we’ll help you identify where AI can create the fastest, highest-impact results for your business and if it makes sense, we’ll take it all the way to deployment ourselves.
Frequently Asked Questions
AI consulting engagements typically range from a few thousand dollars for a focused strategy sprint to well over $100,000 for full-scale development and deployment, depending on scope, data readiness, and integration complexity. Our strategy and discovery phase typically runs 2–4 weeks full build-to-deployment engagements are scoped individually after that phase, once the requirements are clear we don’t quote blind.
An AI consultant typically advises on strategy and hands off before implementation; an AI development company typically builds without first validating the strategy. We’re built to close that gap every engagement starts with consulting to confirm the idea is worth building, and the same team then designs, develops, and deploys it, so you’re not managing a hand-off between two separate vendors.
You need AI consulting if you have a specific, measurable business problem like manual processing bottlenecks, inconsistent forecasting, or repetitive customer support volume where better data-driven decisions or automation would move the number. Our strategy phase is built specifically to answer this question honestly, including telling you when AI isn’t the right fix for a given problem.
AI consulting is worth it when it’s tied to a measurable outcome cost savings, time saved, revenue lift, or error reduction not when it produces a strategy deck with no execution path. Because we stay engaged from strategy through deployment, our recommendations are built around what can actually be shipped and measured, not theoretical upside.
We work with both. Startups and SMBs typically start with a focused strategy sprint and a fast, cost-effective build to prove value quickly enterprises typically need a broader roadmap and implementation across more complex, compliance-heavy environments. The engagement scales to the business, not the other way around.
Yes. All engagements are covered by confidentiality agreements, and we follow data governance practices including encryption, access controls, and compliance with relevant regulations such as GDPR, HIPAA, or SOC 2 depending on your industry.
Most engagements move from initial consultation to a working, deployed system in 6–16 weeks, depending on scope a focused chatbot or automation tool lands on the shorter end, while a custom ML model or enterprise-wide system takes longer. We give you a specific timeline after the discovery phase, not a generic estimate upfront.