AI Integration Services

Your systems already work. They just don't think. We connect AI to the CRM, helpdesk, ERP, and custom apps your team uses every day, so the software you already paid for starts doing more.

Why Integrate

You Don't Need to Replace Your Stack to Use AI

Most AI advice starts with rebuilding something. That's rarely necessary and almost never the fastest route to value.

If your data is already in Salesforce, your tickets are already in Zendesk, and your team already lives in Slack, the quickest win is making those tools smarter. Our AI integration services add intelligence to what you run today: summaries in your helpdesk, lead scoring in your CRM, document extraction in your back office, and a search box that actually understands the question.

No migration. No retraining your team on a new tool. The systems stay where they are and start doing more.

1Least privilege access

The integration touches only the data and actions it needs, nothing more.

2No training on your data

3Full audit logging

4Human approval where it matters

5Your infrastructure if you need it

6NDA before discovery

What We Integrate

01

AI in Your CRM

Lead scoring, automatic enrichment, call and email summaries written back to the record, and next-best-action suggestions for your sales team. Works with Salesforce, HubSpot, Zoho, Pipedrive, and custom CRMs.

02

AI in Your Helpdesk

Ticket classification and routing, suggested replies drafted from your own knowledge base, sentiment flags on at-risk conversations, and automatic summaries for handovers. Works with Zendesk, Freshdesk, Intercom, and HubSpot Service.

03

AI Chatbot Integration

Connect a chatbot to your website, WhatsApp, Slack, or Teams, and wire it into the systems behind them so it can check an order, book a slot, or open a ticket rather than only answering questions.

See our AI chatbot development services →

04

AI in Your ERP and Back Office

Invoice and purchase order extraction, document classification, reconciliation support, and demand forecasting fed straight into your existing workflows.

05

AI Inside Your Own Product

Add AI features to the software you built: smart search, summarization, recommendations, content generation, and in-app assistants. Built to match your existing architecture and design system.

06

LLM and API Integration

Connect OpenAI, Anthropic Claude, Google Gemini, or open-source models to your backend with proper error handling, rate limiting, fallbacks, and cost controls. Including integration through the Model Context Protocol (MCP) where it fits.

07

Workflow and Automation Integration

Connect AI into the tools that move work between teams, including Slack, Teams, Notion, Jira, Zapier, and n8n, so the AI sits inside the process instead of beside it.

Where It Pays Off

Where AI Integration Pays Off Fastest

Repetitive Support Tickets

Support

Support teams drowning in repetitive tickets that could be classified, routed, and half-answered automatically.

CRM Data Entry

Sales

Sales teams spending hours on CRM data entry instead of selling.

Manual Document Keying

Finance & Ops

Finance and operations keying in data from invoices, forms, and PDFs by hand.

Keyword-Only Product Search

Product

Product teams whose users can't find anything because search only matches keywords.

Unread Knowledge Bases

Knowledge

Anyone who keeps a knowledge base nobody reads because it's faster to ask a colleague.

Our Process

How We Integrate AI

01

Audit what you run

We review your systems, your data, and where the time actually goes. Integration value comes from picking the right process, not the most impressive demo.

02

Pick the highest-value starting point

We recommend one workflow to start with, based on effort saved versus work required. You see the reasoning, not just the recommendation.

03

Prototype on your data

A working version on a real slice of your data, so you see actual performance before committing to a full build.

04

Build the integration

We connect the AI to your systems with authentication, permissions, error handling, logging, and fallbacks for when a model or API is unavailable.

05

Test against real cases

We run it against real scenarios, including the awkward ones, and measure accuracy before it touches live work.

06

Deploy and monitor

We roll out gradually, watch accuracy and cost in production, and keep tuning. See our ongoing support plans.

Why SolutionsLoft

Why Choose SolutionsLoft for AI Integration

We work with what you have

No rip and replace, no migration project disguised as an integration.

We start where the value is

The first integration is chosen for payback, not for how well it demos.

Full-stack under one roof

The same team handles the AI, the backend, and the frontend, so nothing gets lost between vendors.

One expert, 3x delivery

Our AI-first workflow keeps teams lean and timelines short.

We stay after launch

Integrations break when APIs change and models get deprecated. We watch for both.

Technologies

Technologies We Work With

If your system has an API, we can usually integrate with it. If it doesn't, we'll tell you upfront rather than discovering it halfway through.

OpenAI GPT

Anthropic Claude

Google Gemini

Llama

Mistral

Frequently Asked Questions

Let's Build Something Worth Launching

Have an idea, product, or challenge? Let's bring it to life fast, smart, and beautifully executed.

AI integration services connect artificial intelligence to the software a business already uses. That includes choosing the right use case, building the connection to your systems, handling authentication and permissions, testing accuracy, and maintaining the integration after launch.

No. That's the point of integration. We connect AI to the systems you already run, so your team keeps working in familiar tools while the software does more.

CRMs, helpdesks, ERPs, databases, messaging platforms, and custom applications. If a system has an API, we can usually integrate with it. During discovery we check each one and tell you upfront if something isn't possible.

A single focused integration is usually much faster than a full product build. After discovery we give you a timeline with the proposal, along with a prototype on your real data early so you see results before the full build.

Cost depends on how many systems are involved, how clean the data is, and how much accuracy the use case demands. A single helpdesk integration costs far less than connecting AI across several enterprise systems. We quote a fixed price after discovery.

Yes. We use model endpoints that don't train on your data, give the integration least-privilege access, log every action, and can deploy entirely inside your own cloud. An NDA is signed before discovery begins.

Every integration we build includes limits on what the AI can do on its own, human approval for anything irreversible, and logging so you can see exactly what happened. We also monitor accuracy after launch and tune when it drifts.

Yes. We add AI features such as smart search, summarization, recommendations, and in-app assistants to existing web and mobile products, working with your codebase and design system.

Integration adds AI to software that already exists. Development builds something new. If you're creating a product from scratch, see our custom AI development services.

Ready to Kick Off Your Project? Let's Get Started Together!

We'll schedule a call to discuss your idea. After discovery sessions, we'll send a proposal, and upon approval, we'll get started.

Not ready to submit the form?

No worries! If you’re not ready to fill out the form, simply click the button below to schedule a quick call with our sales manager. We’ll discuss your project, understand your needs, and explore how we can help you move forward.
No pressure, no obligation. Let's talk!

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Which of Your Systems Should Think First?

Tell us what your team spends the most time on. On a free discovery call, we'll point to the integration most likely to pay for itself, and tell you honestly if AI isn't the answer.

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