AI agents are everywhere. But most enterprises are still figuring out how to turn AI output into something they can actually use.

AI agents are now part of daily work in many enterprises. Teams are building workflows in Copilot, Gemini, Glean, and other platforms to move faster and automate more. 

But generating text is not the same as generating a usable business document. 

In this session of Templafy Talks, John Tiniakos was joined by Stephan Laarhuis and Arjen Hartog to explore what it really takes to generate complete, business-ready documents with AI. 

About Templafy Talks 

Templafy Talks is our ongoing webinar series focused on document automation, AI, and how enterprise teams actually work. Each session brings together practical examples, live demos, and lessons from real implementations. 

This session focused on a growing challenge: how to add structure, governance, and brand control to AI-generated content. 

With Templafy’s Document Generation API, AI agents can generate full documents such as pitch decks, proposals, onboarding materials, and internal reports. The key difference is that these documents are built on approved templates and business rules, not free-form text. 

Speakers  

• John Tiniakos, Senior Principal Customer Success Manager, Templafy  
• Arjen Hartog, Director of Product Management & Managing Director, Templafy  
• Stephan Laarhuis, Field CTO, Templafy  

The ambition, the challenge, and the enterprise gap

“Enterprises are rapidly adopting AI platforms to build and automate workflows. The ambition is clear. We want faster document creation, smarter workflows, and obviously scalable productivity.” 

John Tiniakos

Senior Principal Customer Success Manager, Templafy  

As AI tools evolve for enterprise needs, workflows are speeding up and becoming more and more automated. Proposals, sales decks, contracts, and onboarding materials (just to name a few) are now being generated through AI-supported flows in a fraction of the time.

However, speed alone does not guarantee document satisfaction. When AI generates content without structure, the results can be unreliable. 

“AI outputs are often inconsistent and can be non-compliant. Agents lack understanding and context. There’s no way for them to understand the template that should be used or understand layouts.” 

John Tiniakos

Senior Principal Customer Success Manager, Templafy  

AI does not inherently understand which template should be applied, which legal disclaimer is required in a specific region, or how brand guidelines translate into slide layouts. It may produce good text, but that does not mean the output is ready to send to a client or leadership team. 

This is what we refer to as the enterprise AI gap. It is the gap between conversational AI output and documents that meet enterprise standards for brand, compliance, and quality. 

How Templafy pushes AI solutions further

Modern enterprise AI tools are very good at gathering information. They can analyze an RFP, search across systems like Salesforce, Slack, or Gong, and summarize large amounts of data in seconds. For many teams, this already feels like a major productivity boost. 

But in many cases, the output stops at chat. 

Forward-looking enterprises are already connecting AI to multiple data sources and using it to create richer context. 

“What we see is that enterprises who are a little bit ahead of the rest are bringing data together and pulling from all kinds of sources…It is then our task to take in that context and turn it into a business document.” 

Stephan Laarhuis

Field CTO, Templafy  

AI can gather context and can even interpret intent. It’s very good at structuring raw information. What it can’t reliably do on its own is turn that context into a fully branded, compliant document that follows company standards. 

That’s where a governed document generation layer becomes essential. Many assume that if AI can generate text, it can generate finished documents. In practice, this is rarely the case. 

“AI alone is not able to create a high-fidelity PowerPoint deck or Word document. AI may create good stuff, but it’s not creating something in line with your brand.” 

Arjen Hartog

Director of Product Management & Managing Director, Templafy

This distinction matters most in customer-facing documents. A proposal or onboarding deck is not just a container for information. It reflects the company’s brand and credibility. Without structure, AI-generated documents often require heavy review and manual correction.  

Templafy connects AI agents to a framework that ensures the final output is fully aligned with enterprise standards. 

From simple prompts to structured outputs

The magic of agentic workflows is in their simplicity. During the live demo, we showed how you can create documents by typing short, natural instructions such as “Can I have an onboarding deck?” or “Create an NDA”. 

Users don’t need special training, and they don’t have to dig through folders to find the right document templates. All of the context is built in so the AI agent can quickly complete the task.  

“What I really like about this, as you’re typing, is the simplicity of the prompt. I think one of the things that Copilot has struggled with, as a lot of AI tools have, the output is always dependent on how good the prompt is. In the examples you’re showing, the prompts are extremely simple.” 

John Tiniakos

Senior Principal Customer Success Manager, Templafy  

Instead of relying on perfectly crafted prompts, the AI agent collects the necessary structured inputs in the background. It pulls relevant data from connected systems and confirms key details before sending a structured payload for document generation API. 

“Copilot Studio is basically the workflow builder environment to make agents in your Microsoft ecosystem.” 

Arjen Hartog

Director of Product Management & Managing Director, Templafy

Within tools like Copilot Studio, teams can define: how an agent gathers data, which systems it connects to, and what information must be included before a document is created. Once those inputs are structured, Templafy applies approved templates, business rules, and brand logic to generate the final document in Word, PowerPoint, or PDF. 

From the user’s perspective, it feels effortless. By simply typing a short request, they receive a complete document that matches their company’s brand standards. Behind the scenes, the process is governed, structured, and repeatable. That combination is what turns AI from a drafting assistant into a reliable document engine. 

AI is the feature, accuracy is the goal

When AI generates content without guardrails, teams simply shift the time they save at the start of the process with in-depth content reviews. Legal must double-check disclaimers, marketing must fix layout and branding, and sales must adjust the specific wording and offers.  

When AI operates inside a structured framework, the dynamic parts can still benefit from automation while the foundation remains trusted and consistent. Because without reliable, accurate outputs, AI isn’t even a feature, it’s a liability.