AI in Paligo: A Customer-Driven Approach to Artificial Intelligence

With all the hype around AI, you may have wondered how Paligo plans to leverage it in our platform.

Are you eagerly anticipating the arrival of AI features in Paligo? Or maybe feeling a bit uneasy about what AI might mean for technical writing?

Well, that’s exactly what we wanted to understand.

We’ve been busy working on AI for quite some time now. But, we didn’t want to just jump on the bandwagon and release features without seriously considering all the possibilities, especially what matters most to the people using our platform every day.

The first thing we did was ask you, our customers, what you were actually thinking about AI integration.

We conducted a comprehensive survey across our customer base to get real insights from real users, not assumptions or industry hype.

Who We Asked

We reached out to customers across diverse industries where accuracy and security aren’t just nice-to-haves – they’re critical:

• Life sciences – where regulatory compliance can make or break a product launch
• Robotics – where technical precision directly impacts safety
• Insurance – where legal accuracy affects real people’s coverage
• Manufacturing – where process documentation keeps workers safe
• Software development – where clear API docs determine developer success

We also ensured that we included the full spectrum of company sizes, ranging from scrappy SMBs closely monitoring every budget line to Fortune 100 enterprises with complex compliance requirements.

The survey was completely confidential – we wanted honest feedback, not what people thought we wanted to hear.

What We Discovered

The results were truly fascinating and validated both our excitement and our caution.

Here’s what the numbers told us:

• 75% were interested in having AI features in Paligo
• 12.5% weren’t interested at all
• 12.5% were neutral – taking a wait-and-see approach

But here’s the crucial insight: 60% of those wanting AI features still had concerns.

The most common worries? Security and accuracy. This is exactly what you’d expect from professionals who can’t afford hallucinations or data breaches in their documentation workflows.

Perhaps most telling is that 75% of all respondents wanted input on AI development, regardless of their initial enthusiasm. This told us our users don’t just want features – they want to help shape them.

The survey confirmed what we suspected: despite legitimate concerns, most users saw the potential productivity benefits of thoughtful AI integration.

So we doubled down on development, but with a crucial difference. We let customer concerns guide our approach rather than rushing to market with flashy features.

Why We’re LLM-Agnostic

AI is evolving incredibly fast. Locking into a single LLM provider felt shortsighted when the landscape changes monthly.

Our current approach:

• OpenAI integration – in closed beta right now
• Parallel exploration of other LLM providers
• Flexible architecture that lets us add new AI services as they mature

This means you’ll eventually have choices, and we won’t be stuck if the AI landscape shifts dramatically.

Addressing the Big Concerns

Security was non-negotiable from day one. Our implementation ensures:

• No customer data trains the LLM – your content stays yours
• API-only integration – no data sharing with AI providers
• Privacy-first architecture – everything stays within Paligo systems

Accuracy required rethinking how AI fits into professional workflows:

• Clear AI markup – generated content is clearly identified for reviewers
• Human approval workflows – AI suggestions require explicit validation
• Complete audit trails – track exactly what came from AI assistance
• Integration with existing processes – works within your current approval workflows

Interestingly, this approach actually increases security compared to team members using external AI tools like ChatGPT without organizational oversight.

Balancing AI with CCMS Principles

Here’s something that kept us up at night: AI-generated content could actually be counterproductive in a CCMS.

The primary objective of a Component Content Management System is to maximize content reuse, rather than generating additional content. So we had to ask: How do we add AI value without undermining the core efficiency benefits you came to Paligo for?

Our solution focuses on enhancement over generation:

• AI supplements existing content rather than replacing reusable components
• Generated content fits within your existing topic architecture
• Features support your content reuse strategies instead of contradicting them

We believe AI can significantly boost productivity for content experts. But we also believe the choice should be entirely yours.

If you’re excited about AI features, you can enable them. If you prefer traditional content management approaches, you can disable AI functionality completely. No judgment either way.

The best AI features come from collaboration between developers and the people who actually use the tools daily.

We’re looking for technical writers and content experts to join our beta program. You’ll get:

• Early access to test AI capabilities before general release
• Direct influence over feature development priorities
• Community connection with other technical writers exploring AI tools

Your real-world feedback shapes what we build next. Also, test out our AI-assistant today!

AI in technical writing isn’t just about automation – it’s about augmenting human expertise to create better content faster.

We’re committed to building AI features that genuinely improve your productivity while maintaining the professional quality standards your work demands.

Ready to help shape the future of AI in technical writing? Let’s build something useful together.

Interested in joining our AI beta program? Contact us at info@paligo.net to get early access and help influence development priorities based on your real workflow needs.