AI-Native workflow platform

AI built in from day one

Most vendors added AI to what they already had. Intellistack Streamline was designed differently, with AI throughout, from day one. No add-on cost. Intentionally easy to use, so you don’t need to be a data scientist.

Want to learn more?

Dave Cole, CTO at Intellistack, explains AI-native workflows and why it’s valuable to your organization

Trusted by innovative teams in healthcare, higher ed, and financial services

WHAT AI-NATIVE ACTUALLY MEANS

AI that's working before you start a single workflow

Built in, not bolted on

Legacy platforms can add AI all day, but they can’t undo the architecture they were built on.

Approachable AI, not just for IT

The AI does the heavy lifting before you ever touch the workflow. You don't need to be a data scientist or a prompt engineer.

No extra cost, no new ecosystem

AI is included in the platform, not an upsell, not a premium tier. And it works with your systems today.

Your data stays where it lives

Streamline connects to your systems, uses your data in context, and doesn't retain it. This isn't a privacy policy claim, it's a data safety decision.

What AI-native looks like in practice

Transform data without writing code

The Transform Step handles data reformatting, summarization, and cleanup, including sentiment analysis from unstructured data. Business builders can handle what used to require an IT ticket.

see the transform step →

First login, not first roadblock

On first use, AI quietly profiles your organization, applies your branding, and recommends starter workflows. The AI has done the setup work before anyone logs in.

See how onboarding works →

Sensitive data, classified automatically

Our data fabric and AI automatically classifies sensitive data types across your connected datasets. No manual tagging, no setup rules required. Governance in place before anyone asks for it.

Learn about data security →

Errors caught. Fixed without a ticket.

When something goes wrong in a workflow configuration, AI automatically surfaces the diagnostic and suggests the fix, before anyone has filed an IT request. Builders unblock themselves. IT handles strategy, not triage.

SEE HOW BUILDERS WORK FASTER →

From unstructured documents to usable fields

Streamline extracts structured data from uploaded patient and financial documents (insurance cards, driver’s licenses, patient referrals) and turns them into usable workflow data, replacing manual re-keying.

See an example of extracting data →

Build a workflow with a single prompt

Type what you need. Omni, our AI chat agent, builds the workflow. The demo shows it happening in real time. Natural language in. Configured workflow out. No code required.

see OMNI IN ACTION →

WHAT CUSTOMERS ARE SAYING

Empowering doctors to provide better care with AI built into workflows

Alex Porter 
Director of Telehealth Products & Services 
at Telecare Anywhere

We are using AI securely to summarize all of the key details from the patient intake process, which puts the information at the physician’s fingertips before they see the patient. AI isn’t replacing the doctor, it’s ensuring they have what they need to make better decisions and provide better care the moment they walk into the room.

Ready to learn more?

See how AI that's built in and not bolted on can be used by anybody to create workflows. Plus, no AI or per user fees.

See Streamline in action

BRING EVERYONE ALONG

You shouldn't have to choose between adopting AI and keeping what works.

Most AI adoption plans require your team to learn something new, change how they work, or trust a new vendor. Streamline doesn't. Business users, the people filling in patient referrals, managing contracts, processing applications, experience a process that works. Fields auto-populate. Errors catch themselves. Information moves without anyone copying data.

Teams use as much or as little AI as they want to build and launch workflows. IT sets the guardrails. That’s what bringing your whole organization along actually looks like.

"Intellistack Streamline is designed to bridge where you are with where you need to go, bringing your whole organization along in AI adoption." Dave Cole, CTO, Intellistack

DATA SAFETY BY DESIGN

One safe way to use AI across your entire organization

Enterprise AI raises one question every IT leader and CISO has to answer: where does the data go? With Intellistack Streamline, the answer is simple.

Your data never stays

Your data connects into workflows, does its job, and goes back where it came from. Our zero data retention model means we don't store it, and we don't train AI on it. Ever. One vendor, one governed path forward, one auditable experience from first form to final signature.

Learn more about how AI works with your data →

Built for regulated industries

This isn't a compliance checkbox. It's the architectural reason Intellistack is chosen by healthcare, financial services, and every other industry where the alternative is "we'll have to check with legal."

HIPAA, GDPR, and PCI compliance built in
IT-set governance rules across all connected systems and users

AI you can actually verify

AI is used for consistent, repeatable, deterministic tasks. Guardrails set, outputs verifiable. Omni is built on a multi-agent architecture, with specialized agents handling distinct tasks. Every key behavior is tested systematically through an evaluation framework, so outputs are verifiable, not just probable. The AI gets tighter over time, not looser.

There's more to explore

See what AI that was built in actually looks like

Intellistack Streamline is easy to use and implement. No migration, no new ecosystem, no AI surcharge. Start with the processes that are slowing your teams down most.

Request a demo

FAQs

What does "AI-native" actually mean? How is it different from AI-powered?

AI-powered means AI is core to specific features, but the rest of the platform works the old way. AI-native means the entire platform was designed from the ground up with AI as a foundational element, not layered on after the fact. With Intellistack Streamline, AI is present at every stage in the user's experience: how it onboards you, how it handles data, how it builds and transforms workflows, how it supports your team. That's a structural difference, not a marketing one.

Do I need a separate AI budget or initiative to use Intellistack Streamline?

No, and this is one of the reasons AI-native matters. Intellistack Streamline is built to solve process problems that organizations already have: manual handoffs, fragmented data, slow approvals. Those problems have a cost that predates AI. Intellistack Streamline uses AI to fix them and get you better results. You don't need to build a new business case for a new AI initiative. The business case is the broken process you already know about.

Does Intellistack train its AI on my data?

No. Intellistack Streamline does not retain your data and does not use customer data to train AI models. The platform connects to your systems, uses your data within the workflow context, and does not store it. Full architecture and data security details are available at trust.intellistack.com.

Our team isn't technical. Do users need to know how to prompt AI or configure anything?

No. Most of Intellistack Streamline's AI capabilities run automatically in the background. Data classification, document extraction, and smart onboarding happen without requiring users to know AI is involved. For teams who want to interact with AI directly, Omni is available as a conversational assistant throughout the platform. The platform was built for citizen developers and business users, not data scientists.

We already have AI tools. Why would we need another one?

Intellistack Streamline isn't an AI tool, it's an AI-native process automation platform. The question is whether the tools in your stack handle end-to-end workflows with the governance, data security, and cross-system connectivity your organization needs. Intellistack Streamline is built to work alongside your existing systems, not replace them. In many cases, it reduces the number of tools you're running.

What industries is this built for?

Intellistack Streamline is used across healthcare, higher education, financial services, insurance, and hospitality, industries where process complexity, compliance requirements, and data sensitivity are high. The platform's architecture was built with regulated industries in mind from day one.

How is Intellistack Streamline different from other platforms that claim to be AI-native?

Most AI-native claims in the market apply to a specific feature set or product category: AI-native eSign, AI-native CLM, AI-native forms. Intellistack Streamline is the only workflow automation platform making this claim at the full platform level: every layer, from data classification to workflow building to contract intelligence. And unlike most vendors, Intellistack Streamline was built AI-native from day one, not repositioned after the fact.