You will get a custom AI-powered feature built inside your Salesforce org
Project details
I'll integrate a real AI model (Google Gemini or similar) directly into your Salesforce Lightning pages: case summarization, draft replies, churn-risk analysis, or a custom AI workflow specific to your data. Built with Apex HTTP callouts, Custom Labels for config, and full audit logging of every AI interaction. No middleware, no data leaving Salesforce except the model call itself.
Recent live examples of this exact work: CaseCopilot (AI case summarization and draft replies) and BillingHub's churn-risk analysis feature, both running in production Salesforce orgs. A recorded demo walkthrough is available on request.
Pick the Basic, Standard, or Premium tier below based on how many AI actions and how much reporting/tuning you need.
Recent live examples of this exact work: CaseCopilot (AI case summarization and draft replies) and BillingHub's churn-risk analysis feature, both running in production Salesforce orgs. A recorded demo walkthrough is available on request.
Pick the Basic, Standard, or Premium tier below based on how many AI actions and how much reporting/tuning you need.
AI Algorithms
Large Language ModelAI Applications
Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
LaMDAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Hareshkumar
Salesforce Developer | LWC,Apex & Automation | React, Node Integration
Navsari, India - 11:53 pm local time
⭐ Portfolio: 22 apps + demo videos (see the Portfolio section below)
WHAT I DO
• Lightning Web Components (LWC) — custom dashboards, consoles, guided UIs
• Apex — triggers, classes, Batch Apex, scheduled jobs, Platform Events, state machines
• Automation — SLA engines, approvals, record-triggered flows, auto-assignment, roll-ups
• Integrations — REST/SOAP APIs, OAuth 2.0, jsforce, connecting Salesforce to third-party platforms
• Full-stack on Salesforce — React / Next.js + Node / Express over the Salesforce REST API
• Experience Cloud portals — responsive, mobile-first (SLDS)
• Data migration — Data Loader, Import Wizard, ETL
• Sales Cloud & Service Cloud customization
A SAMPLE OF MY WORK
• PipelinePro — sales-pipeline CRM (React + Node + Salesforce) with a live pipeline dashboard and OAuth 2.0 (PKCE) login
• ServiceSLA — SLA command center: tier-based deadlines, scheduled breach sweep, automatic escalation
• DispatchFlow — field-service dispatch engine with a scoring-based technician-matching algorithm
• EstateHub — property marketplace with server-side filters and inquiry → Lead capture
• ClaimFlow — insurance-claims engine built as a config-driven state machine with a full audit trail
WHY ME
🏅 Salesforce Certified — Platform Developer I & Associate
⚡ 5+ years full-stack (React, Node, MongoDB, MySQL) — I own projects from requirements to deployment
🧱 Clean, layered, test-covered Apex — built to extend, not to patch
🌍 Remote; experience with clients across India, US, UK, EU and Australia
HOW I WORK
Clear communication, realistic timelines, and working software you can actually see. Happy to start with a small paid task so you can evaluate my work before committing to a larger build.
Ready to start? Send me a message describing what you're building, and I'll reply with an approach and a timeline.
Steps for completing your project
After purchasing the project, send requirements so Hareshkumar can start the project.
Delivery time starts when Hareshkumar receives requirements from you.
Hareshkumar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & setup
Review your org, confirm the target object/page and AI use case, and configure Custom Labels for the integration.
Build the Apex integration
Develop Apex HTTP callouts to the AI model and wire up the Lightning page action(s) with audit logging.