Artificial Intelligence

AI Integration & Implementation

You don't always need to rebuild to benefit from AI. We specialize in integrating AI capabilities into systems you already have: adding intelligence to existing APIs, embedding models into current workflows, and layering AI features onto products your users already depend on.

6 Weeks

Avg Integration Timeline

0

Existing Workflows Disrupted

40%

Productivity Gain Post-Integration

What We Deliver

AI Integration & Implementation Services

Practical, production-ready work — not proofs of concept that never make it to real users.

AI API Integration

Connect OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI to your application with proper rate limiting, error handling, and cost controls.

Workflow Intelligence

Add AI-powered classification, extraction, summarization, or scoring to existing data flows without replacing the underlying pipeline.

Legacy Modernization with AI

Augment aging systems with AI capabilities through API wrappers and middleware, deferring full replacement costs.

AI Feature Flags

Gradual rollout infrastructure for AI features with A/B testing, user segmentation, and kill switches for safe deployment.

How We Engage

Common Engagements

01

CRM AI Enrichment

Add AI-powered lead scoring, next-best-action suggestions, and email drafting to an existing Salesforce or HubSpot implementation.

02

Document Processing Pipeline

Integrate AI extraction and classification into an existing document management workflow without replacing the storage layer.

03

ERP Intelligence Layer

Add forecasting, anomaly detection, and natural language querying on top of an existing ERP without migrating data.

04

Support Ticket AI Triage

Embed AI classification and suggested response generation into an existing Zendesk or ServiceNow ticketing system.

Why InnovTen

What You Can Count On

  • Preserve existing system investments while gaining AI capabilities
  • Reduced project risk versus greenfield AI builds
  • Rollout controls that limit blast radius if AI output quality varies
  • Cost monitoring and budget caps on third-party AI API usage
  • Documentation of every integration point for future team maintainability

Technologies We Use

OpenAI API AWS Bedrock Azure OpenAI Google Vertex AI LangChain REST APIs Zapier n8n

Ready to Get Started?

Tell us about your project and we'll put together a practical path forward.

Talk to Our Team