YOUR COMPANY NEEDS AN AI INTEGRATOR

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8 essential tips to start your AI integration

WHERE DO I START: A GUIDE TO INTEGRATING AI

Integrating AI into your company doesn't have to be complicated. This is what we need to kickstart your integration and the keys to make it successful.

Checklist to kickstart your integration

1

Identify the system to integrate

Tell us which tool you want to connect: CRM, ERP, WMS, CMMS, Power BI… This is the starting point to design the correct flow.

2

Share volume and users

Number of daily interactions with the system and active users. This allows us to properly size the flow and performance.

3

Prioritize 5 use cases

Order them by priority. We tackle the main problem first with maximum precision and reliability, and then scale to the rest.

4

Prepare a demo user

A read-only user with limited access to observe the internal flow. With the signed NDA, your confidentiality is guaranteed.

5

Provide the API or the system's MCP

Request it from your provider to connect it to NaiOS. If it's not possible, we will take care of finding alternatives.

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1

Identify your most costly pain point

Before thinking about technology, identify the process that consumes the most time, money, or resources. AI should solve real problems, not create new ones.

2

Start small, think big

Don't try to transform your entire company at once. Start with a pilot in a specific area, measure results, and scale what works.

3

Audit your data (but don't obsess)

You need data to train AI, but you don't need perfect data. Start with what you have and improve along the way.

4

Define clear metrics from day one

How will you measure success? Define concrete KPIs: time savings, cost reduction, sales increase. What isn't measured can't be improved.

5

Involve your team from the beginning

Resistance to change is the biggest obstacle. Train your team, listen to their concerns, and turn them into allies, not resistors.

6

Don't reinvent the wheel

For 80% of cases, proven solutions already exist. Use pre-trained tools and platforms like NaiOS instead of developing from scratch.

7

Calculate ROI before investing

Before committing to a solution, do the math. Compare the current cost of the problem with the cost of the AI solution. The ROI should be evident.

8

Plan for security and compliance from the start

GDPR, data protection, role-based access... These are not problems for later. Integrate them from the design phase or you'll have to redo everything later.

Compatible Technologies and Systems

NaiOS integrates natively with the leading platforms in the market. Whether you use Azure, AWS, Salesforce, SAP, or any other system, our flexible architecture allows for secure and efficient connections.

Cloud Providers

AWSMicrosoft AzureGoogle CloudOracle CloudOn-Premise

CRM Systems

SalesforceHubSpotMicrosoft DynamicsZoho CRM

ERP Systems

SAPOracle NetSuiteMicrosoft DynamicsOdooHolded

Business Intelligence

Power BITableauGoogle LookerQlik

Productivity Tools

Microsoft 365Google WorkspaceSlackJira

Databases

MySQLPostgreSQLMongoDBOracle DBSQL ServerSupabase

APIs and Protocols

REST APIGraphQLSOAPWebhooks
4 phases to integrate AI into your company

ROADMAP: YOUR ROADMAP TO AI

Integrating AI is not a one-time event, it's an evolutionary process. Here is your roadmap:

A

CONNECT YOUR DATA

The first step is to connect your information sources: internal documentation, ERP, CRM, BI... AI needs context to be useful. Without integrated data, you only have a generic chatbot.

B

DEPLOY CUSTOM AGENTS AND GPTs

With your data integrated, create specialized assistants for each area: sales, support, operations, finance. These agents work with your company's specific knowledge.

C

AUTOMATE KEY PROCESSES

Connect your agents with your systems to automate complete workflows: from lead generation to invoicing, including support and document management.

D

EVOLVE AND SCALE

With the core functioning, expand to new departments, add advanced use cases (prediction, optimization) and consolidate AI as the engine of your business.

Comienza hoy

Connect NaiOS with your current tools

More than 1400 ready-to-use integrations to connect your agents with any API: CRM, ERP, productivity, communication, data, and much more. A single API for all.

Companies that have successfully integrated AI

INTEGRATION STORIES: REAL CASES

APD

“With NaiOS we have built a platform for shared and updated knowledge, which helps us design our meetings and direct commercial action. Now we integrate in one place the most relevant sources of information (internal/external). And we open access to that knowledge to all teams so they can work with it in their day-to-day activities and extract the information they need when they need it.”

Juan Duce

Director of Marketing & Digital Strategy

Integraciones:

CRMMarketing automationMultichannel chat

LegalTech SaaS

“Our team reviews critical clauses with a legal assistant and citations to internal documents. We went from weeks to hours without losing control.”

Legal Director

Legal Director

Integraciones:

ERPDocument managementMultichannel chat

InduLogix

Pilot
“We connect ERP with predictive maintenance and an operations co-pilot. Response time decreased and we prioritize orders better.”

COO

COO

Integraciones:

ERPRPA+AINLQ Dashboards

CampusNova

In production
“We activated an agent for admissions and a content engine. Better tracking and personalized messages without expanding the team.”

Admissions Manager

Admissions Manager

Integraciones:

CRMMarketing automationMultichannel chat
5 tips to stay competitive

HOW NOT TO FALL BEHIND IN THE AI ERA

AI is advancing rapidly. Here are 5 strategies to ensure your company doesn't fall behind:

1

Adopt a continuous learning mindset

AI is not a project with an end date. It is a process of continuous improvement. Spend time each month exploring new tools, use cases, and best practices.

2

Watch your competition (and other industries)

What is your competition doing with AI? And companies from other sectors facing similar challenges? Innovation often comes from applying proven solutions in other contexts.

3

Invest in training, not just technology

Tools are constantly changing, but fundamental skills (critical thinking, prompt engineering, data analysis) are enduring. Train your team in these core competencies.

4

Create a culture of experimentation

Allocate time and budget for your team to experiment with AI without fear of failure. The best insights often come from internal experiments, not external consultants.

5

Measure, measure, measure (and adjust)

Have updated dashboards for usage, costs, ROI, and satisfaction. AI that is not measured and adjusted regularly loses effectiveness quickly. Review your metrics at least monthly.