AI Integration Services: Connect AI to the Systems You Already Run
The value of AI appears when it works inside your CRM, helpdesk, ERP and documents, not in a separate tab. Our AI integration services connect models to your existing systems through secure interfaces, with logging, limits and testing built in. Projects start from $1,400.
What our AI integration services cover
We integrate AI at the points where work already happens, so people do not have to change tools to use it.
CRM and sales tools
AI CRM integration and AI integration with Salesforce: AI that drafts replies, summarizes calls, scores leads and updates records in your CRM.
Helpdesk and support
Suggested answers, ticket routing and summaries inside the helpdesk your team already uses.
ERP and back office
AI document processing and AI invoice processing: invoice, order and document handling connected to ERP and accounting through AI API integration.
Knowledge and search
Retrieval over your documents so assistants answer from your own sources, with references.
Custom connectors
AI connectors, webhooks and ChatGPT integration or LLM integration for tools with no ready plug-in, built and maintained by our engineers.
Security and monitoring
Least-privilege access, logging, evaluation and cost limits on every integration.
Why teams integrate AI with us
Integration is where most AI projects slow down. It is what we spend most of our time on.
Published starting price
AI integration starts from $1,400 per project, with a written scope and a fixed price before work begins.
Security by design
Access is limited to what each task needs, and every call is logged for audit.
Engineers on the system side
The same team understands both the model and your stack. See web application development for larger builds.
Evaluated before launch
We test on real examples, track accuracy and cost per request and add fallbacks.
How an AI integration project runs
Map the systems
We list the tools, data and permissions involved and agree on one workflow to start.
Design the connection
We choose the model, the interface and the guardrails, and sketch the data flow.
Build and test
We build the connectors, test on real cases and measure accuracy and cost.
Launch and monitor
We release to a small group first, then widen use while monitoring quality.
Where AI is usually integrated first
Start with a system where the workflow is clear and the data is clean.
| System | AI task | Benefit |
|---|---|---|
| CRM | Summaries, reply drafts, lead scoring | Less admin for sales |
| Helpdesk | Answer suggestions, routing | Faster first response |
| ERP and accounting | Document and invoice processing | Fewer manual entries |
| Knowledge base | Question answering with sources | Self-service for staff and customers |
| Generative AI integration | Drafting and summarizing inside existing tools | Less manual writing for staff |
| Private deployment | A model running in your own environment | Sensitive data stays under your control |
We prefer one integration that works over five that half work, so the first project is deliberately narrow.
If you are still choosing what to build, start with AI consulting or the wider AI development services.
What good AI integration looks like in practice
Good integration starts with a single workflow. We trace where information enters, where decisions happen and where people lose time, then decide which step AI should handle. Often the best first target is reading and summarizing, such as emails, tickets or documents, because the risk is low and the time saving is visible.
People search for this work as AI integration, integrating AI into business systems, an AI integration company or AI implementation for business, and the scope is the same: connect, test and monitor. Technically we use APIs and webhooks, a vector database for retrieval, an LLM for language tasks and connectors for your CRM, ERP and helpdesk. Access follows least-privilege rules, a clean data pipeline feeds the model, and every request is logged and evaluated against examples. We start with a small pilot connected to your existing systems, whether it uses generative models or predictive ones, and scale only after the results are measured.
We also plan for change: models improve and prices move, so the model layer is replaceable and the monitoring shows when quality drops. Pricing is fixed per project, starting at $1,400, and a first review of your systems is free. If you need a bigger programme, we can scale from one connector to a set of connected tools. Our engineers also build the web interface or portal around the integration when one is needed. Knowledge tools use retrieval-augmented generation (RAG), and enterprise RAG, RAG implementation and RAG development follow the same pattern. Buyers searching for AI integration companies, an AI integration agency, AI implementation services or AI integration consulting get one plan: map, connect, test, monitor. Generative AI integration, ChatGPT integration services and LLM integration services differ only in the model behind the connector, and AI guardrails, AI evaluation, LLM monitoring and AI observability are part of every project. AI integration pricing is fixed per project, and teams that hire an AI integration company from us get one accountable team, since these AI services cover integration, testing and support.
Questions we get on the first call
What are AI integration services?
They connect AI models to your existing systems, such as CRM, helpdesk, ERP and documents, through secure interfaces, with testing and monitoring.
How much does AI integration cost?
AI integration starts from $1,400 per project. The final price depends on the number of systems and the workflow, and it is fixed in writing before work starts.
Can AI work with our legacy systems?
Usually yes. We use APIs where they exist and connectors or file exchange where they do not.
Is it secure?
We use least-privilege access, logging and clear rules on what data is sent to a model, and we can use private deployments.
How long does integration take?
A single workflow often takes two to four weeks, including testing.
Do you maintain it after launch?
Yes. We monitor quality and cost, update prompts and connectors and report on results.
Do you integrate ChatGPT or other models into our tools?
Yes. We connect OpenAI models, other hosted models or a private deployment to your CRM, helpdesk or documents through the API, with logging, limits and testing.
What do AI guardrails and monitoring mean in practice?
Guardrails limit what the model may do and see, evaluation checks answers against real examples, and monitoring tracks quality, cost and errors after launch.
How do I start?
Tell us which system and workflow, or ask for the free review. You get a scope and a fixed price, usually within a few days.
Tell us which system AI should work in. We will scope it.
The first review is free and yours to keep. Get AI integration services with a fixed price, secure access and monitoring.