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Your users already live in your software. Talk to ProsperaSoft about integrating AI features that fit your product, your data and your security requirements.
AI Integration Consulting and Development
Most companies do not need a new AI platform; they need AI inside the systems their teams and customers already use. We integrate language models into web and mobile apps, SaaS products, ERPs, CRMs, helpdesks and intranets, in Java, .NET, Python, Node.js, PHP or Grails codebases.
Typical features are in-app assistants, natural-language search, summaries, drafting, classification, data extraction and AI agents that take actions through your APIs. We choose between OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock and self-hosted models based on quality, privacy and cost.
Why ProsperaSoft for AI Integration
We have been building and maintaining business software for many years, so we integrate AI the way we integrate anything else: with clean APIs, tests, monitoring and a plan for the day the model or the price changes.
We start with one valuable use case, measure it, and expand from there. Prompt and model evaluation, access control, PII handling, rate limits, fallbacks and token-cost tracking are part of every integration.
AI Integration Services
AI Feature Development
Assistants, smart search, summaries, drafting and recommendations built into your existing application and UI.
ERP and CRM AI
AI in Odoo, Salesforce, Dynamics and custom ERPs: data entry automation, email drafting, forecasting and insights.
LLM Provider Integration
OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock or self-hosted models behind one internal API with fallbacks.
Data and Knowledge Integration
Connect AI to your databases, documents and APIs with RAG, MCP servers and role-based access.
Security and Compliance
PII redaction, data residency, audit logs, prompt-injection defences and vendor data policies reviewed.
Evaluation and Cost Control
Quality test sets, monitoring, caching and model routing to keep answers good and bills predictable.
Common AI Integrations
Customer-Facing Assistants
Help users find answers and complete tasks inside your product.
Back-Office Automation
Classify, extract and route emails, tickets and documents automatically.
Sales and Service
Draft replies, summarise accounts and prepare follow-ups in your CRM.
Analytics
Ask questions of your data in plain English and get charts and explanations.
TECHNICAL EXPERTISE
Frequently asked questions
Can AI be integrated into our existing software?
Yes. Most AI features are added through an internal API that your application calls, so they can be integrated into web, mobile, desktop and back-end systems without rewriting them.
Which AI model should we use?
It depends on the task, data sensitivity and budget. We compare OpenAI, Claude, Gemini and open-source models on your own examples and often route simple tasks to cheaper models and hard ones to stronger models.
Is our data safe when we use AI APIs?
We use enterprise API terms that exclude training on your data, redact personal information where possible, and can deploy models in your own cloud through Azure OpenAI, AWS Bedrock or self-hosted open-source models.
How long does an AI integration take?
A focused first feature usually takes a few weeks from discovery to production, depending on data access and integration points. We start small, measure results and then expand.
How do you control AI costs?
Through model choice, prompt and context size, caching, batching and per-feature usage tracking with budgets and alerts.