Question 1

What is AI transformation and how does it work in Chicago?

Accepted Answer

AI transformation is a hands-on engagement where ibl.ai works directly with your Chicago organization to analyze existing workflows, build structured knowledge bases, and deploy purpose-built AI agents on your infrastructure. We embed with your teams to understand how work actually gets done, then build agents tailored to your specific processes—not generic chatbots.

Question 2

Do we own the AI agents deployed in our Chicago organization?

Accepted Answer

Yes—complete ownership. Every agent definition, skill implementation, knowledge pipeline, and integration adapter is delivered as source code in your repositories. Agents run on your servers, your cloud accounts, your network. When the engagement ends, your team operates and extends everything independently. Zero vendor lock-in.

Question 3

What systems do your AI agents integrate with?

Accepted Answer

Our agents integrate with the systems your organization already uses—LMS platforms (Canvas, Blackboard, Moodle, D2L), SIS platforms (Banner, PeopleSoft, Workday Student), CRM systems (Salesforce, Slate), HR platforms, ERP systems, and custom internal tools. We build integration adapters specific to your technology stack.

Question 4

How long does an AI transformation engagement take?

Accepted Answer

A typical engagement runs 10-18 weeks across four phases: Discovery & Workflow Analysis (2-3 weeks), Knowledge Base Build (2-4 weeks), Agent Development (4-8 weeks), and Deployment & Training (2-3 weeks). We also offer pilot programs that transform one department's workflows with 2-3 agents in a shorter timeframe.

Question 5

How is ibl.ai different from other AI vendors in Chicago, IL?

Accepted Answer

Three key differences: (1) You own everything—code, data, infrastructure. No subscription that gets more expensive over time. (2) We build agents with defined roles, skills, and boundaries—not generic chatbots. Each agent is designed like a skilled hire with a specific job description. (3) We transfer knowledge to your team so you can build new agents and manage the system independently.

Question 6

What does an AI agent actually do in a university or enterprise setting?

Accepted Answer

AI agents handle multi-step workflows that previously required manual effort: answering policy questions from a curated knowledge base, routing requests to the right department, generating reports, looking up student or employee records, drafting communications, scheduling, and escalating complex issues to the right human. Each agent has defined competencies and knows its limits.

Question 7

Is our data secure with ibl.ai's AI transformation?

Accepted Answer

Your data never leaves your infrastructure. Knowledge bases, conversation logs, analytics, and operational data stay entirely within your security perimeter. Nothing is sent to ibl.ai or third-party services unless you explicitly configure it. This makes compliance with FERPA, HIPAA, and state-level data privacy regulations straightforward.

Question 8

Can we start with a pilot before committing to full transformation?

Accepted Answer

Yes. We recommend starting with a pilot program—transforming one department's workflows with 2-3 agents to demonstrate measurable value before broader investment. This also gives your team hands-on experience with agent operations. Contact us for a free 30-minute workflow assessment to identify the highest-impact starting point.

AI Transformation in Chicago

Why Chicago Organizations Choose AI Transformation

Local Regulatory Context

What We Deliver to Chicago Organizations

Industries We Serve in Chicago, IL

Organizations in the Chicagoland

How AI Transformation Works

Discovery & Workflow Analysis

Knowledge Base Build

Agent Development

Deployment & Training

Your Code. Your Data. Your Infrastructure.

Your Infrastructure

Your Code

Your Data

Your Team's Capability

Get Started in Chicago, IL

Workflow Assessment

Pilot Program

Full Transformation

AI Transformation FAQ — Chicago, IL