Automate with professionals
AI Automation .
Automate support, operations and content with AI. Chatbots, NLP, RPA and predictive models integrated into your stack, with guardrails for quality, security and privacy.
turn a task into a reliable automation
We design and ship AI automations that remove manual work and speed up operations—support tickets, document processing, data entry, routing, content ops, reporting. We build custom AI tools when needed and integrate them cleanly with your CRM/ERP, web apps, and APIs—safe, measurable, and maintainable.
We begin with the job to automate and the data you have. Together we define the success metric, choose the safest approach, run a small pilot, then scale with monitoring and clear hand-offs. Humans stay in the loop where it matters.
Automation Phases .
1
Opportunity & Data
Identify the tasks worth automating, volumes, seasonality, and edge cases. Review data sources (emails, chats, PDFs, tickets, logs), privacy rules, and compliance. Set a baseline: current time/cost and target KPI.
2
Design & Model
Choice
Choice
Pick the right approach: rules where outputs must be exact; ML/LLM where context matters. Define prompts, retrieval plans (RAG), guardrails, access, and audit needs. Choose hosted or private models based on data sensitivity and budget.
3
Prototype &
Validate
Validate
Build a small workflow in staging with human review. Test on a representative sample, measure accuracy and cost, and compare to the baseline. Adjust prompts, retrieval, and thresholds until results are stable.
4
Build & Integrate
Wire the automation to your systems (CRM/ERP, ticketing, email, storage). Add queues, retries, caching, and fallbacks to human. Log every decision with IDs for traceability. Secure secrets and permissions; document the runbook.
5
Launch,
Measure & Improve
Measure & Improve
Roll out gradually. Track precision/recall, time saved, and failure rate. Monitor drift and costs, review errors weekly, and update prompts or models. Plan the next candidates for automation.
Tech stack .
Our stack mixes deterministic rules and AI with a workflow engine that’s easy to audit. Retrieval keeps models grounded in your data; prompts and parameters are versioned like code. We add guardrails, rate limits, and human-override steps so failures don’t become incidents.
AI & ML
Flask
Django
TensorFlow
PyTorch
Keras
Python
PostgreSQL
MySQL
MongoDB
Kubernetes
Doker
GCP
Azure
Amazon Web Services
Terraform
Jenkins
Gitlab CI
AWS CodeDeploy
Ansible
Flask
Django
TensorFlow
PyTorch
Keras
Python
PostgreSQL
MySQL
MongoDB
Kubernetes
Doker
GCP
Azure
Amazon Web Services
Terraform
Jenkins
Gitlab CI
AWS CodeDeploy
Ansible
Backend / CMS
Php
Laravel
Yii2
Node JS
Symfony6
ReactAdmin
SeleniumHQ
PHPUnit
Codeception
Websockets WSS
WebRTC
Social Auth
Rest
Remote Notifications
Payment processing
LiveStreaming
GraphQL
Google InApps
GitFlow
Git
Elasticsearch
Data encryptions
Custom Analytics
CI CD
AWS Lambada
OAuth 2.0
Apple inApps
RabbitMQ
Beanstalk
MySQL
PostgreSQL
MongoDB
MariaDB
Tranzila
Stripe
Plaid
Paypall
Highnote
Javascript
HTML5
Go
Redis
Zendesk
Twilio
TradeGecko
Socials
SAP
Mailjet
Mailgun
Hubspot CRM
firebase
AWS S3
Vapor
Lambda
WordPress
opencart
Prismic
Custom CMS
Contentfull
Solid
Service Layer
MVC
Microservices
KISS
Dry
SeleniumHQ
PHPUnit
Codeception
Websockets WSS
WebRTC
Social Auth
Rest
Remote Notifications
Payment processing
LiveStreaming
GraphQL
Google InApps
GitFlow
Git
Elasticsearch
Data encryptions
Custom Analytics
CI CD
AWS Lambada
auth0
Apple inApps
RabbitMQ
Beanstalk
MySQL
PostgreSQL
MongoDB
MariaDB
Tranzila
Stripe
Plaid
Paypall
Highnote
Swift
php
Javascript
HTML5
Go
Zendesk
Twilio
TradeGecko
Socials
SAP
Mailjet
Mailgun
Hubspot CRM
firebase
AWS S3
OAuth 2.0
Laravel
Yii2
Vapor
Symfony6
ReactAdmin
Node JS
Lambda
WordPress
opencart
Prismic
Custom CMS
Contentfull
Solid
Service Layer
MVC
Microservices
KISS
Dry
Cloud DevOPS
GitLab
GitHub
Git
Bitbucket
Python
PowerShell
Bash
PostgreSQL
MySQL
MongoDB
MariaDB
DynamoDB
AWS S3
Windows
Nix
NetData
Nagios
Zabbix
GCP Cloud Monitoring
Firebase
Azure Monitor
AWS Cloudwatch
Cloud Load Balancing
Azure Load Balancer
AWS Elastic Load Balancing
OVH
Google Cloud Platform
Digital Ocean
Denovo
Amazon Web Services
Kubernetes
Doker
Terraform
Jenkins
Gitlab CI
AWS CodeDeploy
Ansible
Selenium
Locust
VPN
SonorQube
Redis
RabbitMQ
OVH CDN
Network infrastructure
Memcached
LDAP
Highload services
Google Workspace
Google Distribution
Google Big Data
ELK Stack
Cognito
Cloudflare CDN
AWS SNS
AWS Route
AWS RDS
AWS Lambda
AWS RDS
AWS CloudFormation
Apple Distribution
Apache Kafka
Apache Cassandra
GitLab
GitHub
Git
Bitbucket
Python
PowerShell
Bash
PostgreSQL
MySQL
MongoDB
MariaDB
DynamoDB
AWS S3
Windows
Nix
Zabbix
NetData
Nagios
GCP Cloud Monitoring
Firebase
Azure Monitor
AWS Cloudwatch
Cloud Load Balancing
Azure Load Balancer
AWS Elastic Load Balancing
OVH
Google Cloud Platform
Digital Ocean
Denovo
Amazon Web Services
Kubernetes
Doker
Terraform
Jenkins
Gitlab CI
AWS CodeDeploy
Ansible
Selenium
Locust
VPN
SonorQube
Redis
RabbitMQ
OVH CDN
Network infrastructure
Memcached
LDAP
Highload services
Google Workspace
Google Distribution
Google Big Data
ELK Stack
Cognito
Cloudflare CDN
AWS SNS
AWS Route
AWS RDS
AWS Lambda
AWS RDS
AWS CloudFormation
Apple Distribution
Apache Kafka
Apache Cassandra
Contact us .
Want to see Minicode’s professionalism in action? Contact us and let’s schedule a call.
Visit us USA
8966 Forge Breeze LP Wesley Chapel, FL 33545
MDA
Chisinau, Lev Tolstoi 43/B Street
Talk to us
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Phone: (+373) 68 66 66 55Phone: (+373) 68 66 66 55
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E-mail: info@minicode.mdE-mail: info@minicode.md