# AI Integrations

> Pragmatic AI integrations for real workflows, fit-checked, piloted on real tasks, and shipped with guardrails. We'll tell you when AI isn't the answer.

## Overview

Most “AI integration” pitches start with the model. We start with a fit check: is this a task worth automating, and where does it break. Only after that do we pilot on real tasks, add guardrails, and integrate with the systems you already run.

The fit check looks different by industry, what works for [hotels](/topics/ai-integrations/hotels) rarely maps onto [law firms](/topics/ai-integrations/law-firms). Our [AI integrations](/topics/ai-integrations) notes cover the patterns and the limits we've found across sectors, including where we tell clients AI isn't the answer.

## What we deliver

- **The right tools. For your workflow.**: We analyze your processes, identify opportunities, and recommend AI solutions that actually solve your problems. No buzzwords. Just results.
- **Built for how you work.**: Every business is different. We configure and integrate AI systems tailored to your specific needs, workflows, and team.
- **Works with what you have.**: Your existing systems don't need to change. We connect AI tools to your current tech stack, ensuring everything flows smoothly.
- **Your team, supported.**: We don't just implement and leave. Your team gets hands-on training, documentation, and ongoing optimization to ensure lasting success.

## Our Process

1. **Discovery**: Understanding your needs and goals.
2. **Research**: Finding the right AI tools for your use case.
3. **Implementation**: Integrating AI into your workflow.
4. **Training**: Getting your team up to speed.
5. **Support**: Ongoing optimization and support.

## FAQ

### Who are AI integrations a good fit for?

They fit teams with a specific, repetitive workflow where a measurable amount of time or attention is lost, drafting, triage, monitoring, or lookup. They are not a fit when the goal is "add AI" with no workflow behind it; we run a fit check first and will say so.

### What does an AI integration typically cost to run, not just build?

Beyond the build, expect ongoing model/API usage (often tens to a few hundred euros a month depending on volume) plus the maintenance an AI feature needs as models change. We name these running costs up front, the AI ROI Calculator helps you weigh them before committing.

### How do you keep AI features safe in production?

We pilot on real tasks, keep a human in the loop by default, and add guardrails and evaluation before anything acts autonomously. Consequential steps always have a review path, and we document what the system will and will not do.

### How is InfoWebPlus different from a large agency?

You work directly with the senior engineer who scopes, builds, and maintains your system, there are no account managers or junior teams in between. InfoWebPlus is a small product engineering studio by design, which means faster decisions and code you own, not agency overhead.

### When do you recommend against building software?

When a proven off-the-shelf tool already covers the workflow, when the process is not stable enough to build against yet, or when the total cost of owning custom software outweighs the benefit. We map the workflow first and will tell you when buying or not building is the better call.

### What is Workflow Mapping?

Workflow Mapping is the InfoWebPlus framework for documenting how work actually runs today, actors, systems, and the steps that hurt, before deciding whether to automate, integrate, buy, or build. It turns a vague request into an evidence-based scope so the next step is a decision, not a guess.