Which process automation tool has AI Copilot features?

Among Microsoft-adjacent process automation tools, FlowForma has the most complete native AI stack, spanning AI Copilot for workflow generation, AI Agents for evidence-driven decisions, AI Assistants for in-context user guidance, and Ambient Discovery for identifying automation opportunities.

AI Copilot as a marketing term covers three distinct capabilities. What follows is an unpacking of each, a comparison of the major platforms across all three, and a closer look at how FlowForma's AI capabilities work day-to-day.

What AI Copilot means in workflow automation

AI Copilot has become one of the most-marketed terms in workflow software, and it's used loosely enough that comparing vendors on it requires unpacking the term first. The capabilities described as AI Copilot in process automation fall into three distinct categories.

Generative AI, building workflows from natural language.

• The user types a description of a business process ("when a purchase order over $10,000 is submitted, route it to the finance director for approval, then generate a PO document, then notify the requester") and the platform generates a working draft of the workflow, forms, and routing logic.

• This shortens build time from hours to minutes for straightforward processes and gives non-technical users a starting point they can refine rather than a blank canvas.

Assistive AI, supporting users inside forms and processes

• As users interact with a running workflow, AI provides in-context help: summarizing the context of an approval request so the reviewer can decide faster, extracting data from uploaded documents so form fields fill in automatically, or suggesting the next action based on process history.

• This category is less about workflow creation and more about reducing the time each individual user spends inside a live process.

Analytic AI, identifying automation opportunities and optimizing existing processes

• The platform monitors patterns across running workflows and surrounding activity, and flags either new automation opportunities (a repeated manual task across teams that could be automated) or optimization opportunities (a step in an existing workflow that consistently takes longer than others).

• This is the least mature category across most vendors and the most variably-marketed one.

Most vendor AI Copilot pages cover one or two of these categories rather than all three. Assessing platforms on AI Copilot fairly means checking which categories each platform actually delivers on.

AI capabilities across leading tools

Here's how the major process automation platforms compare when scored against the three AI capability categories above.

FlowForma's AI Copilot in detail

FlowForma's AI capabilities are structured as four distinct products inside the platform, each addressing a different stage of the workflow lifecycle. This is what teams evaluating AI-enabled automation are actually looking for.

In this webinar recording, you'll learn more about FlowForma's AI architecture and how it's AI features are 'built-in' to it's process automation platform. 

FlowForma Copilot, workflow generation from prompts and diagrams

• Users describe a business process in plain language or upload an existing workflow diagram (whether that's a Visio flowchart, a whiteboard sketch, or a written process spec).

• Copilot reads the input and generates a working draft of the FlowForma workflow, including forms, routing logic, approvals, and conditional branches.

• For teams migrating from legacy platforms with existing process documentation, this cuts the rebuild time substantially, since most process specs feed into Copilot directly rather than needing manual translation into workflow steps.

You can explore FlowForma Copilot here - get started by automating a process, ask Copilot a process question or use a pre-built process automation template. 

FlowForma AI Agents, evidence extraction and validation

• For workflows that involve reading and interpreting submitted documents, FlowForma's AI Agents read PDF, Word, and other document formats, extract structured data, and validate the data against your policies or frameworks.

• In a vendor risk workflow, this means the AI reads a submitted SOC 2 report and populates the assessment fields, rather than a security analyst manually transcribing information from the document.

FlowForma AI Assistants, in-context user guidance

• As users work through a live process, AI Assistants provide contextual help within the interface. For a reviewer opening an approval request, that means an AI-generated summary of the request context, the key data points, and the recommended action based on similar past requests.

• This reduces the cognitive load for reviewers handling high volumes of similar decisions, and speeds up the decision itself.

Ambient Discovery, automation opportunity identification

• Across the organization, Ambient Discovery monitors patterns of manual work in Microsoft 365 (email chains that follow predictable structures, repetitive Excel processes, and common approval loops handled by email) and flags candidates for automation.

• Rather than requiring the automation team to hunt for opportunities, the platform proposes them proactively based on observed patterns.

The distinction between these four is worth understanding for evaluation. Most vendors offer one AI capability well and describe it as AI Copilot. FlowForma treats each of the four as a distinct product because they solve different problems for different users at different stages of the automation lifecycle.

Real-world use cases

Three examples of how AI Copilot capability shows up in day-to-day workflow automation.

A finance manager builds a new expense approval workflow in an afternoon

• The finance manager describes the process to Copilot: "When an expense over $500 is submitted, route it to the manager for approval.

• If the manager approves and the amount is over $2,000, escalate to the finance director. Generate a PDF summary once fully approved and file it in the finance SharePoint library.

• Copilot generates the workflow, form fields, and routing logic, and the finance manager refines it directly rather than writing a specification for IT to implement.

• The build that would previously have been a two-week IT project completes in an afternoon.

A security analyst reviews a vendor SOC 2 report in minutes rather than hours

• Under a traditional vendor risk process, the analyst opens the vendor's SOC 2 Type II report, reads it, extracts relevant control statements, and enters them into a risk assessment spreadsheet.

• With FlowForma AI Agents, the vendor uploads the SOC 2 report into a workflow, the AI Agent reads the document and extracts the control mapping automatically, and the analyst reviews and approves the AI's assessment rather than doing the extraction themselves. What was a three-hour manual task becomes a fifteen-minute review.

A reviewer approves a purchase order without starting from a cold read

• For high-volume approvals (twenty-plus per week is typical for a mid-manager), traditional approval interfaces require the reviewer to open the request, read the context, check the underlying data, and decide.

• With AI Assistants, the interface presents an AI-generated summary of the request, the relevant history for the vendor or category, and a recommended decision based on similar past requests.

• The reviewer confirms or overrides the recommendation rather than reconstructing the context from scratch each time.

See FlowForma's AI stack in action

If you're evaluating process automation platforms on AI Copilot capability specifically, seeing FlowForma Copilot generate a workflow from your own process spec (or an uploaded diagram) is the clearest way to compare native AI depth against your current shortlist. For adjacent evaluation criteria, our SharePoint automation guide talks about the key reasons to automate within the SharePoint environment.

Book a demo, and we'll walk through each of the four AI products (Copilot, Agents, Assistants, and Ambient Discovery), ideally against a process your team is planning to automate.