AI Assistants In Your App
A conversational assistant inside your own software, answering from your data and respecting the permissions each user already has.
Connect AI To What You Already Run
AI integration services connect artificial intelligence to the systems your business already depends on, so the capability shows up inside your ERP, CRM, billing software or website rather than in yet another tool your team has to open.
Mescope Solutions handles the integration end to end — the API layer, authentication, data mapping, error handling and the monitoring that tells you when something has stopped working.
A conversational assistant inside your own software, answering from your data and respecting the permissions each user already has.
Scanned bills, forms and prescriptions turned into structured records and posted into your existing database.
Search across your products, documents and records by meaning rather than exact keyword, so people find things by describing them.
Voice notes transcribed, and content translated between English and Tamil where your customers need it.
Forecasting and scoring models exposed as clean APIs your existing screens can call without being rewritten.
Rate limits, retries, timeouts and a defined fallback for every AI call, so an outage upstream degrades gracefully instead of breaking a screen.
We document what you run, what it exposes, and where an AI call would actually fit in the flow.
Inputs, outputs, permissions, failure behaviour and cost limits are agreed before code is written.
A dedicated integration layer, so your core system is not rewritten and the AI provider can be changed later.
Timeouts, malformed responses, rate limits and unexpected input are tested deliberately, because in production they will happen.
Latency, error rate, and spend tracked from day one, with alerts when any of them move.
Usually yes, provided the system offers an API or database access. We assess that before quoting.
We build the integration layer so the provider is a choice rather than a lock-in, and we select based on what the task needs, what it costs, and where the data is allowed to go.
Every integration we build defines a fallback in advance — queue the request, degrade to the previous behaviour, or show a clear message. A dependency being unavailable should never break the screen around it.
Access is scoped to what the feature needs, calls are authenticated, and we agree in writing what data may leave your systems before anything is built.
Send us what you run today. We will tell you what can be integrated and what cannot.