CodeGenIT

AI Services

AI Integration

Bring AI to where work already happens — we integrate LLMs, RAG and ML into your apps, CRMs, data platforms and workflows, securely and without a rip-and-replace.

APIs
Secure & permissioned
No rip
Works with your stack
Guardrails
Safe by default
Monitor
Observability built in

Overview

AI that fits your existing stack

The fastest path to value is rarely a brand-new product — it's adding intelligence to the systems your teams and customers already use. The challenge is doing it securely, reliably and without breaking what works.

We integrate AI into your applications, CRMs, ERPs, help desks and data platforms via clean APIs and event flows, with authentication, rate limiting, guardrails and monitoring so the new capability is as dependable as the rest of your software.

What we offer

Integration we deliver

[1]App & product integration

Embed AI features into your web and mobile apps.

[2]CRM & workflow

Add AI to Salesforce, HubSpot, help desks and internal tools.

[3]Data platform integration

Connect AI to your warehouse, vector store and pipelines.

[4]APIs & middleware

Robust, versioned AI APIs and an orchestration layer.

[5]Security & guardrails

Auth, rate limits, PII handling and content safety.

[6]Monitoring

Tracing, evals and cost dashboards for live AI features.

How we deliver

How we integrate AI

  1. 01

    Assess

    Map systems, data and the integration points that matter.

  2. 02

    Design

    Define APIs, auth, guardrails and failure handling.

  3. 03

    Integrate

    Build and connect AI into your apps and workflows.

  4. 04

    Operate

    Monitor cost, quality and reliability in production.

Tools & technologies

The technologies we build with.

A pragmatic, best-of-breed stack — chosen for accuracy, cost, security and scale.

RGREST/GraphQL
WEWebhooks
SHSalesforce/HubSpot
SBSnowflake/BigQuery
PGpgvector
AGAWS/GCP/Azure

Why CodeGenIT

Integration done right

Stack-friendly

We adopt your tools rather than forcing replacements.

Secure

Least-privilege access, auth and PII handling throughout.

Reliable

Rate limits, retries and fallbacks keep features stable.

Observable

Cost, latency and quality visible from day one.

Client voices

Trusted to deliver outcomes.

CodeGenIT turned a months-long AI ambition into a shipped, audited system our risk team actually trusts.
HHead of CreditLending platform · Fintech
The new storefront is the fastest we've ever had — and conversion jumped the week we launched.
DDirector of E-commerceRetail brand · Retail

FAQ

Questions, answered.

Can’t find what you need? Our team is happy to talk specifics.

What is AI integration?+

AI integration is embedding AI capabilities — like LLMs, RAG and agents — into your existing products, workflows and systems via APIs, so your software and team gain AI features without a rebuild.

What is retrieval-augmented generation (RAG)?+

RAG grounds a large language model on your own data by retrieving relevant documents at query time and feeding them to the model, so answers are accurate, current and citable rather than hallucinated.

Will integrating AI disrupt our current systems?+

No. We integrate via clean APIs and events with careful auth and fallbacks, so existing functionality keeps working.

Which systems can you integrate with?+

Web and mobile apps, CRMs and ERPs, help desks, data warehouses and most platforms with an API or events.

How do you keep integrated AI secure?+

Least-privilege access, authentication, rate limiting, PII handling and content guardrails are part of every integration.

Can you monitor AI features after launch?+

Yes — we add tracing, evals and cost dashboards so you can see quality and spend in real time.

Add AI to what you already run

Let's embed intelligence into your apps and workflows — securely and fast.