CRM AI Integration
AI inside the CRM — lead scoring, email drafting, the AI the sales team can use.
AI Products
AI IntegrationAI Inside the System You Already Run.
AI integration for businesses that want AI inside the system they already run — a typed bridge between the model, the data and the system, with the auth, the rate limits, the eval suite and the monitoring the integration needs to be safe in production.
10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served
CRM AI Integration
ERP AI Integration
Helpdesk AI Integration
Marketing AI Integration
Custom System AI
Multiple Model Support
Overview
AI integration is a typed bridge, not a prompt in a script
AI integration is the work of putting AI inside the system the business already runs — the CRM, the ERP, the helpdesk, the marketing tool. The work is the typed bridge, the auth, the rate limits, the eval suite, the monitoring and the cost controls. The prompt is one component, the bridge is the product.
We build AI integrations with the typed bridge, the auth, the rate limits, the eval suite, the monitoring and the cost controls as part of the architecture from sprint one. The output is an integration the business can trust in production, not a prompt in a script that breaks on the second call.
This is the wrong engagement if the system does not have an API, or if the use case is a one-off prompt. We will say so on the call.
- Typed Bridge — A typed bridge between the model, the data and the system, with retries and idempotency.
- Auth Done Right — The auth, the rate limits and the audit log the integration needs to be safe in production.
- Evaluated — An evaluation suite that runs on every change, with the regressions caught early.
- Cost-Defensible — Per-feature cost, the token budgets and the metering that keep the integration honest.
What we deliver
Everything included in our ai integration
ERP AI Integration
AI inside the ERP — invoice OCR, demand forecast, the AI the ops team can use.
Helpdesk AI Integration
AI inside the helpdesk — first response, knowledge base, the AI the support team can use.
Marketing AI Integration
AI inside the marketing tool — copy, segmentation, the AI the marketing team can use.
Custom System AI
AI inside the custom system — the integration against the API the business already runs.
Multiple Model Support
Multi-model routing, the cost optimisation and the per-feature model the AI needs.
Our process
A proven process for successful delivery
01
Discover
We audit the system, the use case, the data and the auth the integration needs.
02
Plan & Design
We design the bridge, the auth, the rate limits and the eval suite.
03
Develop
We build the integration, the bridge and the audit log in sprints.
04
Deploy
We ship to production with the eval, the auth and the monitoring live.
05
Optimize & Grow
We read the metrics, the cost and the team feedback, and ship the next integration.
Technology
Built with a stack that stays maintainable
Models
- OpenAI
- Anthropic
- Google Gemini
- Open source
Bridge
- Node.js
- Python
- Laravel
- Custom
Integrations
- HubSpot
- Salesforce
- Zoho
- Zendesk
- Intercom
Observability
- LangSmith
- Helicone
- OpenTelemetry
What you can expect
- Typical Integration Build
- 4-8 wksTypical Integration Build
- Bridge Latency Target
- <500msBridge Latency Target
- Auth & Rate Limits
- 100%Auth & Rate Limits
- Actions Audit-Logged
- 100%Actions Audit-Logged
Industries we serve
Delivered for teams in your sector
AI development builds the AI. AI integration puts the AI inside the system the business already runs. The integration is the work, the AI is one component. The right answer depends on whether the AI is a new product or a feature of the system the business already uses.
The data flow is part of the architecture. The data goes from the system to the AI, the AI returns the response, and the response is written back to the system. The data flow is observable, idempotent and recoverable. The eval suite runs against the data flow, with the regressions caught early.
The rate limits are part of the architecture. The integration throttles the calls, batches the requests, and queues the overflow. The rate limits are visible in the dashboard, and the alerts fire when the limits are crossed. The integration is a good citizen, not a runaway caller.
Yes. The bridge, the model and the storage can all run on your infrastructure — your VPC, your hardware, your data centre. The deployment model is part of the discovery, and the security review is part of the engagement. The integration is yours, on your infrastructure, with the eval that proves it.
Related services
More in AI Products
Business software
ERP, CRM, HRMS & custom software we build
Ready to start your ai integration project?Let’s scope it together.
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.