---
title: "AI Integration Services Company | Connect AI to Your Systems"
description: "AI integration services for ERP, CRM, legacy systems, and vendor portals with no usable API. Integration is now the top blocker to AI deployment, and it is where projects stall."
image: "https://foundrysoft.co/api/og?type=page&title=AI+Integration+Services+Company+%7C+Connect+AI+to+Your+Systems&st=AI+integration+services+for+ERP%2C+CRM%2C+legacy+systems%2C+and+vendor+portals+with+no+usable+API.+Integration+is+now+the+top+blocker+to+AI+deplo%E2%80%A6"
url: "https://foundrysoft.co/services/ai-integration-services-company"
---

AI integration services · Built in India for US companies

# AI integration into the systems you already run

Integration is the most cited blocker to AI deployment, ahead of accuracy and cost. We do the connecting work: ERP, CRM, document stores, mainframes, and the vendor portal whose API covers 40% of what you need.

Book a 30-min scoping call [See our work](https://foundrysoft.co/work)

No sales script. You talk to the engineers who'd build it.

9+ hrs

Timezone overlap

Our team works a shifted day so you get real-time standups and same-day turnarounds in your time zone, not next-morning replies.

100%

You own the IP

Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.

Senior

No juniors hidden on the bill

You work directly with the engineers building your system. No account managers sitting between you and the people writing code.

Weeks

To first deployment

We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.

## What we build

Concrete systems we ship, tuned to your data and your stack.

### Tool layers on MCP

Each system exposed once behind a stable interface, with auth, scoping, retries, and logging in one place instead of four.

### Legacy and no-API systems

Screen-level automation, database access, or file exchange, decided deliberately in week one rather than discovered in week eight.

### Identity and scoping

A credential per agent with a declared scope, provisioned fast enough that nobody borrows a broad one to hit a demo date.

### Data profiling first

A week finding out how populated and consistent the fields really are, which is worth a month of debugging later.

## How we work

01

### Scope & evals

We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.

02

### Build in the open

Weekly demos against real data. You see progress every week and can change direction before it gets expensive.

03

### Ship & instrument

We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.

04

### Hand off or stay

Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.

## Questions, answered

### Why does integration take so long?

+

Permission provisioning is usually the critical path and takes weeks in most enterprises, which is why we start it before writing code. After that it is data quality surprises and the gap between the documented process and the performed one.

### What if a system has no API?

+

There is always one. Screen automation, database-level access, or file exchange all work, and all are worse than an API. The mistake is not choosing one, it is discovering the problem late.

### Does building a tool layer slow down the first project?

+

Slightly. It makes the second cost about a third as much and the fourth close to assembly, and it means you can answer what has access to what, which direct wiring cannot.

### Can you integrate an AI product we already bought?

+

Yes, and this is common. The connectors that vendor ships rarely cover the specific systems you need, and a tool layer you own keeps that from being their roadmap decision.

## Let's scope your build.

Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.

Start the conversation

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