The AI Ideas Our Clients Want to Build With a $100K Investment 

AI conversations are moving beyond experimentation. And that’s why we wanted to hear from our customers. That’s why we launched the Integris AI Investment Fund.

Organizations are no longer asking only what generative AI can do. They are asking where it can remove real operational friction, make information more useful, improve decision-making, and help their teams work more effectively. 

Through the Integris AI Investment Fund, clients submitted 23 ideas for practical AI solutions. The proposals came from organizations working in healthcare, financial services, real estate, manufacturing, professional services, nonprofits, utilities, hospitality, architecture, cybersecurity, and other fields. 

The industries were different, but the needs were remarkably consistent. 

Clients want AI that automates repetitive work, makes organizational knowledge easier to use, detects problems earlier, and operates within appropriate security and governance controls. 

Here are the strongest themes we found. 

1. Workflow automation was the most common AI opportunity 

Six of the 23 submissions primarily focused on automating repetitive or time-consuming processes. 

These ideas included: 

• Extracting information from invoices and receipts 

• Matching financial documentation to transactions 

• Updating recurring financial templates 

• Accelerating RFP creation 

• Automating data entry for real estate analysis 

• Producing compliance documentation 

• Connecting information across disconnected systems 

These are not abstract AI experiments. They are processes employees already perform every day, often through a combination of spreadsheets, PDFs, email, shared drives, and manual follow-up. 

One organization estimated that automating recurring financial templates could save 84 to 96 employee hours each quarter. Another wanted to shift a reporting process from five to seven hours per week to approximately five minutes. 

The opportunity is not simply to complete the same work faster. It is to reduce errors, improve consistency, strengthen controls, and give employees more time for higher-value work. [hubspot-fo…2026-07-24 | Excel] 

2. Organizations want AI assistants that understand their business 

Four submissions centered on AI assistants or secure AI workspaces. 

Clients described assistants that could: 

• Answer questions using approved policies and procedures 

• Help employees locate forms, resources, and internal contacts 

• Guide teams through operational processes 

• Support research, analysis, writing, and communication 

• Provide organization-wide access to AI without exposing sensitive information 

• Route questions to the correct department when human assistance is needed 

One proposed operations intelligence hub would bring knowledge from HR, payroll, facilities, recruiting, marketing, accounting, compliance, and other departments into a single conversational experience. 

Another organization wanted a secure environment where employees could work with confidential client and financial information without relying on unmanaged public AI services. 

This signals an important change in how businesses view AI. They are not looking for another disconnected application. They want a trusted assistant that fits into existing work and applies the organization’s own information, permissions, and standards. [hubspot-fo…2026-07-24 | Excel] 

3. Businesses want to turn documents and institutional knowledge into decisions 

Four submissions focused primarily on extracting value from documents, reports, policies, and other unstructured information. 

Examples included: 

• Summarizing hundreds of daily reports into weekly and monthly updates 

• Reading clinical research protocols and producing structured assessments 

• Extracting information from insurance policies, claims records, proposals, and lender requirements 

• Making years of architectural project knowledge easier to find and reuse 

Many organizations already possess the information they need. The challenge is that the information is spread across PDFs, documents, spreadsheets, presentations, emails, images, and shared repositories. 

AI can help organize that content, extract important details, identify discrepancies, and produce clearer outputs for human review. 

One clinical research proposal aimed to reduce an initial protocol and site-assessment process from days or weeks to under 30 minutes. The goal was not to replace professional judgment, but to let experienced reviewers spend less time on extraction and more time evaluating the results. 

That distinction matters. The strongest ideas use AI to prepare, organize, and surface information while keeping people responsible for consequential decisions. [hubspot-fo…2026-07-24 | Excel] 

4. Predictive insight is becoming a practical business priority 

Five submissions focused on identifying patterns, predicting problems, or improving operational decisions. 

The proposed applications included: 

• Distinguishing genuine security incidents from false positives 

• Analyzing maintenance records to identify recurring property issues 

• Recommending preventive maintenance before equipment fails 

• Modeling utility costs and rate scenarios 

• Identifying engagement patterns and underserved communities 

• Monitoring manufacturing equipment for abnormal operating conditions 

These ideas move AI beyond summarizing what has already happened. They use operational data to help organizations decide what to do next. 

For example, one manufacturing concept proposed continuously reviewing machine and process data for anomalies, maintenance concerns, and recurring patterns. Another submission proposed analyzing thousands of property work orders to determine whether repeated repairs indicated that a system should be replaced. 

In each case, the value comes from earlier visibility. Organizations want to detect issues before they become larger, more expensive, or more disruptive. [hubspot-fo…2026-07-24 | Excel] 

5. AI can make complex services easier to access 

Two submissions primarily focused on improving communication or the user experience. 

One idea proposed a conversational assistant that would help patients understand and complete a financial-assistance application. The assistant would explain requirements in plain language, identify potentially relevant eligibility paths, clarify documentation needs, and provide access through multiple channels. 

Another submission focused on helping property managers create professional, consistent resident notices more efficiently. 

These applications show how AI can make complicated information easier to understand and act on. The objective is not communication for its own sake. It is reducing friction at moments when people need accurate, timely, and accessible guidance. [hubspot-fo…2026-07-24 | Excel] 

6. Some of the most valuable ideas are highly specialized 

Two submissions fell outside the broader categories. 

One proposed an AI gatekeeper that could detect, redact, or block sensitive information before employees submit it to unauthorized public AI tools. Another envisioned AI-assisted moderation, matching, text improvement, and safety capabilities within a specialized digital platform. 

These ideas demonstrate that AI innovation does not need to begin with a standard use case. An organization may find its greatest opportunity in a narrow process, a unique dataset, or a challenge specific to its operating environment. 

The important question is not whether an idea looks like somebody else’s AI project. It is whether the idea addresses a meaningful problem and can produce a measurable result. [hubspot-fo…2026-07-24 | Excel] 

What the submissions tell us about business AI adoption 

Looking across all 23 submissions, several conclusions stand out. 

Businesses are focused on measurable value 

The proposals consistently tied AI to outcomes such as time savings, faster turnaround, better accuracy, reduced administrative effort, stronger compliance, improved customer service, and better operational decisions. 

AI is being treated as a business improvement tool, not a novelty. 

Organizations want to use the data they already have 

Most submissions referenced existing information such as policies, reports, logs, financial records, operational systems, spreadsheets, documents, or machine data. 

For many organizations, the first step is not creating more data. It is organizing, governing, and using current information more effectively. 

Security and governance are part of the solution 

Many submissions raised requirements related to privacy, confidentiality, regulatory compliance, data ownership, role-based access, explainability, and human review. 

Organizations want the benefits of AI, but they do not want those benefits at the expense of security or accountability. 

Human oversight remains essential 

Several ideas explicitly stated that AI outputs should be reviewed before they influence financial, clinical, compliance, security, or operational decisions. 

The most practical model is not AI operating without people. It is AI preparing information, identifying patterns, and reducing manual work so people can make better-informed decisions. 

How Integris helps turn AI ideas into business outcomes 

A strong AI idea is only the beginning. 

Organizations also need to understand whether their data is ready, how the solution will connect to existing systems, what security controls are necessary, and how employees will use the new capability in their day-to-day work. 

Integris helps clients move from ideas to practical implementation by bringing together: 

• Business use-case discovery 

• Data and information readiness 

• Security and AI governance 

• Workflow and system integration 

• Solution design and delivery 

• User training and adoption 

• Measurement and continuous improvement 

The goal is not to deploy AI simply because the technology is available. It is to identify the right opportunity, build it responsibly, help people adopt it, and measure whether it creates the intended value. 

The 23 ideas submitted through the Integris AI Investment Fund show that businesses are ready to move forward. They know where work is slowing them down. They know which information is difficult to use. And they increasingly recognize where AI could help. 

What many organizations need now is a practical path from that idea to a secure, usable, and measurable solution. 

Interested in learning more about what Integris is doing with AI?

CORE builds on the IT and security foundation your business already relies on, adding secure AI adoption, automation, data governance and expert support to help your people work smarter and create measurable value.

Visit our CORE Managed AI and IT Services page.