LLM and Model API Integration
We connect commercial and open-source models to your applications through secure, well-designed APIs.
AI Integration Services
AI Integration Services
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
We connect AI to the systems you already run, embedding models, LLMs and automation into your products, ERP, CRM and legacy stack. Get the value of AI without ripping out what works. Over a decade of experience, 250+ digital solutions delivered.
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What is AI integration?
AI integration is the process of embedding AI capabilities into your existing software, data and workflows, rather than building standalone systems. It connects models and large language models to your applications through APIs, links them to your ERP, CRM and databases, and wires AI into the processes your teams already use. Noseberry delivers AI integration that is secure, reliable and minimally disruptive, so AI enhances your stack instead of replacing it.
Key takeaways
- AI integration embeds AI into your current systems, not a separate silo.
- It connects models and LLMs to your apps, ERP, CRM and data through APIs.
- The goal is value with minimal disruption to what already works.
- Integration includes the plumbing that keeps AI reliable in production.
2M+Lives touched
15+Fortune 500 clients
20+Countries served
250+Digital solutions delivered
What we do
Our AI integration services
Enterprise System Integration
We wire AI into your ERP, CRM, help desk and databases so it works inside your existing processes.
Legacy System Connectivity
We connect AI to older systems without breaking them, using adapters, middleware and safe interfaces.
Workflow and Automation Embedding
We embed AI into your workflows and automations so it triggers and acts where work already happens.
Data and Event Pipelines
We build the real-time and batch pipelines that feed AI the data it needs and route its outputs back.
Third-Party and SaaS Integration
We connect AI to the SaaS tools you rely on, from Salesforce and HubSpot to Zoho and Twilio.
Monitoring and Reliability
We add the observability, error handling and guardrails that keep integrated AI dependable.
Where it delivers value
Where AI integration delivers value
Add AI features to an existing product without a rebuild
Bring model outputs into your CRM so teams act on them
Automate steps inside current ERP and back-office workflows
Connect a chatbot or agent to your help desk and knowledge base
Route AI insights into the dashboards leaders already use
How we work
Our five-phase process
We map your systems and data flows first, then integrate in stages so nothing in production breaks.
1
Discovery and Audit
We map your systems and data flows to understand where you stand today.
2
Strategy and Roadmap
We prioritise integrations and hand you a costed, phased plan.
3
Rapid Proof of Concept
We validate the highest-value integration fast, with clear success metrics.
4
Build and Integrate
We integrate in stages so nothing in production breaks.
5
Deploy and Optimize
We ship, monitor and tune, so value compounds after launch.
Technology we use
Models & LLMs
- OpenAI GPT
- Anthropic Claude
- Llama
- Mistral
Integration
- REST & GraphQL APIs
- Webhooks
- Middleware
- Kafka event streaming
Systems
- Salesforce
- HubSpot
- Zoho
- Twilio
- Okta
- Atlassian
- Your ERP
Cloud & MLOps
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
Security and compliance
Integration that does not widen your risk surface
Integrations are built with encryption, secure API authentication, role-based access and audit trails, so connecting AI does not widen your risk surface. We build to GDPR, HIPAA and SOC 2, deployed on AWS, Google Cloud and Azure.
GDPRHIPAASOC 2
Real success storiesFinTech · Digital Insurer PropTech · Real-estate marketplace E-Commerce · Retail leader
Outcomes we have driven
Challenge
AI scoring existed but wasn't connected to the claims workflow, so it went unused.
Solution
We integrated the model into the claims system with event pipelines and CRM routing.
Impact
93% of fraud caught pre-payout, an estimated $4.2M saved annually.
Challenge
Valuation AI outputs were stranded outside the tools teams actually used.
Solution
We wired model outputs into the intake workflow and internal dashboards.
Impact
40% faster property valuations with higher consistency.
Challenge
Recommendations weren't surfacing in the live storefront and CRM.
Solution
We integrated the recommendation engine into the product and marketing stack.
Impact
+28% lift in conversion rate.
Sector-anonymised outcomes shown until named clients are approved.
Why Noseberry
Why choose Noseberry for AI integration
Specialist
AI, Cloud and Data is our core, no generalist dilution.
Non-disruptive
We integrate in stages so production keeps running.
Vendor-neutral
We connect whatever models and systems fit best.
Proven at scale
15+ Fortune 500 clients, 250+ solutions across 20+ countries.
AI integration, answered.
It is embedding AI into your existing systems and workflows through APIs and connectors, so AI enhances your current stack rather than replacing it.
Yes. We integrate AI through APIs and adapters so you gain AI features without a full rebuild.
We integrate in stages with testing at each step, so production stays stable throughout.
Yes. We use adapters and middleware to connect AI to older systems safely, without breaking them.
Common enterprise and SaaS systems such as Salesforce, HubSpot, Zoho and Twilio, plus your ERP, databases and help desk.
Want AI working inside the systems you already use?
Book your free 30-minute AI strategy session and we will map an integration plan.
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