🔗 AI Integration
Your Systems Work.
Make Them Work with AI.
AI Integration Services for Your Existing Systems
You already have Salesforce, ServiceNow, Jira, Slack. The data is there. The workflows exist. What’s missing is AI that works inside those systems — not alongside them. Infera connects AI to where your work actually happens.
The Problem
AI That Can’t Connect to Your Systems Is Just a Demo
Most enterprise AI pilots fail at the integration step. The model works fine in isolation — but it can’t read from your CRM, write to your ticketing system, or trigger actions in your existing workflows. So outputs land in a spreadsheet that someone emails around. That’s not automation. That’s a different manual step.
Infera builds the connective tissue — so AI outputs land where decisions get made, not in a separate tool nobody checks.
🔗
AI Integration
We connect AI to the systems your team already uses — reading data where it lives, processing it intelligently, and writing results back where they need to go. No ripping out existing infrastructure.
✓ Works with your existing stack
What We Do
Six Integration Patterns
Every enterprise workflow is different. Most integration work falls into one of these patterns — sometimes one, sometimes a combination.
🏢
Enterprise System Connectors
Connect AI directly to Salesforce, ServiceNow, SAP, Workday, or whatever your team already runs — so AI reads from and writes back to the systems where work gets done, not a parallel tool.
📄
Document & Data Pipelines
Ingest PDFs, emails, contracts, and spreadsheets. Extract structured data with AI. Push clean, usable records into your systems of record — automatically, without a human in the middle.
⚡
Event-Driven Triggers
When a ticket is created, a contract is signed, or a support case is escalated — AI responds immediately. No polling, no manual checks. The right action happens in the right system at the right time.
🔌
Internal AI API Layer
Instead of every team integrating LLMs independently, we build one clean internal API. Any internal tool or system calls it. You maintain one integration point, one set of guardrails, one bill.
👁️
Human-in-the-Loop Controls
For regulated industries and high-stakes decisions, we build review queues with configurable risk thresholds — AI confidence below a set level routes to a human before any action is taken. Every decision is logged, accountable, and audit-ready.
📊
Analytics & Reporting Feeds
AI-enriched data flowing into Tableau, Power BI, Looker, or your data warehouse — so the insights from AI models show up in the dashboards leadership already uses to make decisions.
Who It’s For
Three Situations We’re Built For
🔁
Teams Doing Manual Data Handoffs
Someone exports a report, reformats it, and pastes it into another system. Every day. We automate that handoff with AI in the middle — so it happens instantly, accurately, and without anyone touching it.
🧪
AI Pilots Stuck at the Integration Step
Your proof-of-concept worked in a notebook. Then it hit the real system and stalled — authentication, data formats, access controls, API limits. We navigate that last mile and get it into production.
🏗️
Engineering Teams Scaling AI Across the Org
Five teams each integrating LLMs separately means five sets of credentials, five cost centres, five points of failure. We build the shared layer so engineering maintains one integration, not many.
Our Approach
How We Run an Integration Engagement
01
Map the Workflow
Understand exactly what data moves where, what systems are involved, and where the manual steps are — before touching any code.
02
Audit Access & Constraints
Review API availability, authentication, data formats, rate limits, and security requirements — so integration surprises surface before they become blockers.
03
Build & Test
Build the integration against real systems — not mocks. Test with actual data volumes, edge cases, and failure modes so it holds up in production from day one.
04
Monitor & Hand Off
Set up logging, alerting, and error handling before we leave. Your team knows what to watch, what a failure looks like, and how to fix it — without calling us.
Have a system that needs to talk to AI?
Tell us what you’re trying to connect. We’ll be straight with you about what’s feasible, how long it takes, and what it costs — before you commit to anything.
