AI/ML Apps Development
From AI copilots and smart chatbots to predictive analytics, document intelligence, and fraud detection, we handle strategy, data, development, and MLOps end-to-end. You focus on growth; we make the AI work.
Mondaysys designs, trains, and ships custom AI applications that automate work, unlock hidden insights, and boost revenue—built for the way modern EU & US businesses really operate.
All-Inclusive AI Application Development
01. AI Copilots & Chatbots for Support & Sales01
Custom LLM-based assistants that answer customer queries, guide buyers, assist agents, and support internal teams (IT, HR, finance) across chat, web, and in-app experiences.
02. Predictive Analytics & Demand Forecasting02
Machine learning models that forecast demand, churn, lifetime value, inventory needs, and revenue so you can plan better, reduce waste, and make data-driven decisions.
03. Intelligent Process Automation & AI Agents03
AI agents that read emails, process tickets, move data between systems, trigger workflows, and automate repetitive back-office tasks—freeing teams to focus on higher-value work.
04. Personalization, Recommendation & CRO Optimization04
Recommendation engines and personalization models that tailor content, offers, and product suggestions in real time built with a strong CRO/A/B testing mindset so you see measurable uplift, not just “AI activity.”
05. Computer Vision & Document Intelligence (OCR)05
AI that reads invoices, receipts, IDs, contracts, images, and video. We build OCR, document understanding, and visual recognition pipelines to cut manual data entry and reduce errors.
06. Fraud Detection, Risk & Anomaly Scoring06
Models that spot suspicious behavior, abnormal transactions, compliance risks, and security anomalies in banking, fintech, insurance, and crypto—before they become costly incidents.
Our Proven End-to-End AI Development Process
We follow a clear, repeatable framework to turn AI ideas into real business outcomes. Starting with discovery and data assessment, we design the right solution, build a rapid PoC/MVP, and then harden it for production with secure integrations. Finally, we deploy, monitor, and continuously optimize your AI applications so they stay accurate, compliant, and tightly aligned with your KPIs.
01. Discovery & Use-Case Prioritization
We start with workshops to understand your business goals, existing systems, and constraints. Together we identify and prioritize AI use cases with clear value, complexity, and timelines.
02. Data & Feasibility Assessment
We audit your data sources, quality, and infrastructure, then select the right AI approach (traditional ML, LLMs, computer vision, or hybrid). You get a clear feasibility and ROI view before any heavy investment.
03. Solution & Experience Design
Our team designs the user journeys, data flows, model architecture, and integration points. We align UX, analytics, and success metrics so the AI fits naturally into your existing workflows.
04. Rapid PoC / MVP Build
We build a focused prototype or MVP to validate the approach quickly with real users and data. This phase proves value, surfaces risks early, and refines requirements.
05. Production-Grade Development & Integration
Once validated, we harden the solution: scalable architecture, clean APIs, robust back-end, secure integrations with your CRM/ERP/e-commerce stack, and proper observability.
06. Testing, Compliance & Governance
We run functional, performance, security, and bias testing. Governance, logging, auditability, and GDPR-aligned data handling are baked in from day one to meet EU and US standards.
07. Deployment, MLOps & Continuous Optimization
We deploy to your preferred cloud or on-prem, set up monitoring, retraining pipelines, and A/B tests. Models and flows are continually improved based on real-world performance and business KPIs.
Why Choose Mondaysys for Your AI Application Development?
Business-first, not buzzword-first
Deep experience with EU & US businesses
End-to-end team under one roof
Strong CRO, eCommerce & SaaS background
Modern, flexible tech stack
Transparent collaboration & ownership
What Our AI Clients Say
See how companies across Europe, the USA, and the Middle East use Mondaysys AI solutions to automate work, cut costs, and unlock new growth. These are real stories from teams that turned complex ideas into measurable results with our AI development expertise.
“We launched a clean Shopify migration in 5 weeks no downtime and saw +27% revenue over BFCM.”
Our legacy store crashed under promo traffic. Mondaysys planned a phased cutover, live-synced inventory, and rehearsed rollback paths. Launch day felt boring in the best way and BFCM finally scaled without firefighting.
“The LLM chatbot deflects 38% of tickets and cut first response time to under a minute.”
Support was drowning in “Where’s my order?” tickets. Mondaysys trained an LLM on our policies, added guardrails, and integrated with Helpdesk for order status and refunds. Agents now handle the hard stuff; the bot handles the rest, fast.
“Their QA discipline drove defect escape below 0.8% releases are finally boring (in the best way).”
We shipped features but also bugs. Mondaysys built a risk-based test plan, added Playwright automation, a11y checks, and data-layer contracts. A pre-release gate stopped regressions cold users noticed stability, not slips.
“Cloud cost down 35%, deployments moved from weekly to daily, Mondaysys modernized our DevOps fast.”
Infra spend climbed while deploys lagged. Mondaysys right-sized clusters, set autoscaling, codified everything in IaC, and rebuilt CI/CD with canary releases. Teams ship daily now and finance finally smiles at the bill.
“The mobile app relaunch cut crash rate by 70% and bumped ratings from 4.2 to 4.8.”
Crashes spiked during peak hours. Mondaysys instrumented the app, traced memory leaks, added offline caching and progressive sync, and simplified onboarding. The app feels instant; reviews turned into referrals.
“Attribution finally makes sense, CAC down 15% after Mondaysys fixed our GA4 and data layers.”
Our channels argued over credit; budgets were blind. Mondaysys audited tags, moved us to server-side, deduped events, and standardized UTMs. Now we fund what works—and cut what doesn’t.
“Mondaysys tripled our A/B test velocity and delivered a 22% conversion lift in six weeks.”
Our tests were stuck behind dev queues and a messy data layer. Mondaysys set up a reusable experiment library, fixed analytics contracts, and created a QA checklist so releases didn’t stall. We went from 2 to 6+ tests/month and finally learned what moved revenue.
“Their MondayPOS ERP rollout gave us 98.5% inventory accuracy and cut checkout time by 40%, game changer.”
Shrink and price disputes were draining margins. Mondaysys ran a full stock audit, mapped barcodes to variants, and enforced pricing rules at POS. Cashiers stopped overriding prices; managers got real-time stock lines got shorter, errors vanished.
“Personalized recommendations from Mondaysys boosted AOV by 18% and repeat purchases by 12%.”
Customers couldn’t find the right shades, so carts stayed small. Mondaysys cleaned our catalog, trained an AI ranker on purchase + browse signals, and launched bundles for cold-start users. Discovery felt human, baskets grew overnight.
Frequently Asked Questions
What is A/B testing (in one sentence)?
A controlled experiment that splits traffic between two (or more) versions to measure which one improves a target metric (e.g., conversion rate, revenue per visitor).
Why is A/B testing important for my website?
It turns guesses into measured wins, reduces redesign risk, and compounds revenue by shipping only what proves to lift your KPIs.
How long should a test run?
Often 1–2 weeks (sometimes longer) to cover behavior cycles and reach a trustworthy sample; exact duration depends on traffic, baseline conversion, and expected lift.
Will A/B testing hurt my SEO?
No—when done correctly (no cloaking, use 302s for temporary redirects, use rel=canonical, don’t run tests for excessive durations). This is straight from Google’s guidance.
Can I still use Google Optimize?
No, Google Optimize sunset on September 30, 2023. We migrate clients to platforms like Optimizely, VWO, Convert, AB Tasty, LaunchDarkly, or Statsig.
What if my site has low traffic can I still test?
Yes: run higher-impact changes, use site-wide tests, combine micro-conversions, or use methods like sequential analysis and Bayesian approaches; supplement with research (surveys, recordings, heuristic reviews).
What does your “A/B Test Development” include?
End-to-end build: spec → design → engineering (platform-agnostic) → analytics tagging → cross-device QA → launch → monitor → analyze → ship winner → document learning.
Do you handle QA and analytics?
Yes. We pressure-test variants across devices/browsers, validate events (GA4/Segment/Adobe), and share QA checklists and test readouts.
Can Mondaysys work with our existing team?
Absolutely. We plug in as an experimentation pod or augment design/engineering/analytics to increase velocity without disrupting your process.
What tools do you support?
Optimizely, VWO, Convert, AB Tasty, Dynamic Yield, Adobe Target, Kameleoon, LaunchDarkly/Statsig (feature flags), and custom frameworks. We integrate with GA4, Segment, Adobe, Looker, and your data warehouse.
How do I get started with Mondaysys?
Book a quick discovery. We’ll run a rapid audit (traffic, analytics, tech stack), propose a 90-day experiment plan, and start with a pilot test.
How do I hire a great Shopify developer (fast checklist)?
Look for: (1) theme & Liquid mastery, app/extensibility, and Shopify CLI; (2) performance (Lighthouse, LCP/CLS), accessibility, and SEO basics; (3) experience with Shopify Plus, checkout extensibility, Scripts/Functions; (4) analytics/GA4 events; (5) clear comms, clean Git habits, and QA discipline. Ask for code samples and shipped storefronts.
Can you A/B test on Shopify?
Yes, theme variants, templates, sections, PDP, cart, and (with Plus/eligible setups) certain checkout experiences via approved methods or platform tools; Shopify publishes guidance for merchant-assigned testing in specific components.
Do you build custom Shopify features too?
Yes. We handle theme builds, app integrations, performance tuning, internationalization, subscriptions, and CRO-driven UX updates.
How much do your services cost?
We scope to your goals and traffic. Typical models: (1) Experimentation Pod (monthly retainer) for steady velocity; (2) Fixed-fee pilot (audit + 1–2 launches); (3) Project-based Shopify builds. Request a tailored plan after a 30-min discovery.
Do you support Bayesian or frequentist analysis?
Both, we choose based on your data volume, decision cadence, and stakeholder preference, and we document assumptions either way.
What if a test is inconclusive?
We capture the learning, refine the hypothesis, and iterate (bigger change, better targeting, or different step in the funnel).
How many conversions do I need to trust a result?
There’s no single magic number it depends on baseline rate and desired lift. We estimate sample size up front and won’t call a winner before confidence thresholds are met.
How quickly can you launch the first test?
Commonly 1–2 weeks after access and audit (faster if your tagging and environments are ready).
Will experiments slow down my site?
Our builds are performance-first (async loads, minimal blocking, code splitting). We monitor Core Web Vitals on variant and control.
Do you migrate teams off Google Optimize?
Yes, assessment, tool selection, event parity, QA, and phased cutover from Optimize to an enterprise-grade platform.
Can you coordinate with our SEO team during tests?
Yes, we follow Google’s testing guidance (302s, rel=canonical, no cloaking) and share test scopes/URLs so SEO stays healthy.
How many conversions do I need to trust a result?
There’s no single magic number it depends on baseline rate and desired lift. We estimate sample size up front and won’t call a winner before confidence thresholds are met.
What if a test is inconclusive?
We capture the learning, refine the hypothesis, and iterate (bigger change, better targeting, or different step in the funnel).
How quickly can you launch the first test?
Commonly 1–2 weeks after access and audit (faster if your tagging and environments are ready).
Will experiments slow down my site?
Our builds are performance-first (async loads, minimal blocking, code splitting). We monitor Core Web Vitals on variant and control.
Do you migrate teams off Google Optimize?
Yes, assessment, tool selection, event parity, QA, and phased cutover from Optimize to an enterprise-grade platform.
Can you coordinate with our SEO team during tests?
Yes, we follow Google’s testing guidance (302s, rel=canonical, no cloaking) and share test scopes/URLs so SEO stays healthy.
