You will get a Multi-Agent AI System for Scheduling, Inventory & Support Ops
Project details
Most businesses lose hours every day to repetitive ops tasks — manual scheduling,
inventory checks, support ticket routing. One AI agent isn't enough. You need a
coordinated system.
We build Multi-Agent AI Systems where specialized agents handle scheduling,
inventory, and support simultaneously, communicating with each other, updating
your CRM, and escalating to humans only when needed.
At Cogniq AI, we've deployed these systems for SMBs across the US, UK, and
Europe, achieving 3x growth in automated daily interactions and reducing missed
appointments by 40%.
What you get:
→ Multiple specialized AI agents working in coordination
→ Integrated with your existing tools (CRM, calendar, inventory)
→ Real-time decision making with human escalation built in
→ Full source code + documentation handed off to you
We handle everything: architecture, agent design, integrations, deployment.
You get a production system that runs your ops, not a proof of concept.
inventory checks, support ticket routing. One AI agent isn't enough. You need a
coordinated system.
We build Multi-Agent AI Systems where specialized agents handle scheduling,
inventory, and support simultaneously, communicating with each other, updating
your CRM, and escalating to humans only when needed.
At Cogniq AI, we've deployed these systems for SMBs across the US, UK, and
Europe, achieving 3x growth in automated daily interactions and reducing missed
appointments by 40%.
What you get:
→ Multiple specialized AI agents working in coordination
→ Integrated with your existing tools (CRM, calendar, inventory)
→ Real-time decision making with human escalation built in
→ Full source code + documentation handed off to you
We handle everything: architecture, agent design, integrations, deployment.
You get a production system that runs your ops, not a proof of concept.
AI Algorithms
Large Language Model, Linear Discriminant Analysis, Multimodal Large Language Model, Self-Organizing Map, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AIOps, Conversational AI, Image Recognition, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Gradio, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$499
|
Standard
$999
|
Advanced
$1,999
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 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 Avinash
Senior Full-Stack AI Engineer | LLM Apps, Automation & Custom Agents
Pune, India - 12:21 pm local time
Steps for completing your project
After purchasing the project, send requirements so Avinash can start the project.
Delivery time starts when Avinash receives requirements from you.
Avinash works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Workflow Discovery & Mapping
We map your existing workflows, identify automation opportunities, and define agent roles and handoff logic.
Step 2: Agent Architecture Design
We design the multi-agent coordination system, define tools each agent uses, and set up the orchestration layer.