Qdabra: Blog

July 20th, 2026:

InfoPath Support Has Ended. Here's What Actually Changes - and Your Three Real Options

InfoPath support has ended. Your forms don't have to.

On July 14, 2026, Microsoft retired InfoPath 2013 and InfoPath Forms Services in SharePoint Online. If you're reading this, you likely still have InfoPath forms running critical processes, and you're not alone. Thousands of organizations crossed that deadline with forms still in production.

Here's a clear-eyed look at what changed, what's at risk, and what your options actually are.

The two dates that matter

May 18, 2026: Microsoft blocked publishing new or updated InfoPath forms to SharePoint Online. Your existing forms kept working, but changes were frozen.
July 14, 2026: InfoPath 2013 client reached end of extended support, and InfoPath Forms Services in SharePoint Online was retired. Microsoft has stated there is no extension option.

What this means in practice

If your forms live in SharePoint Online, InfoPath Forms Services has been retired. Forms that your teams have relied on for years will stop being usable in the browser.

If you run the InfoPath 2013 client (including with on-premises SharePoint), your forms still open, but the software no longer receives security updates. Every InfoPath form filled out on an unsupported client is now part of your attack surface, at exactly the moment AI-assisted tools are making vulnerability discovery dramatically faster for defenders and attackers alike.

And in every case: no more updates means broken forms stay broken. The first time a business rule needs to change, you're out of road.

Your three real options

Option 1

Rebuild in Power Apps

Microsoft's recommended path. For simple forms (a handful of fields, basic routing), this is often the right answer. But if you've tried rebuilding a complex InfoPath form in Power Apps, you know the honest math: multi-view forms, repeating tables, code-behind logic, and intricate data connections don't migrate. They get redesigned from scratch, form by form, at consulting rates. Organizations with hundreds of forms routinely see seven-figure estimates.
Option 2

Run your InfoPath forms on a platform built for them

This is the path most people don't know exists. Qdabra Forms takes your existing form templates (XSN files) and runs them in any modern browser, with logic, views, and data connections intact. No rebuild. Forms render mobile-responsive, connect to SharePoint, and stay editable with FormsDesigner. Your ten years of form-building investment keeps working. (This is what we do, so weigh our perspective accordingly, then test it with your own forms, which is exactly what we suggest below.)
Option 3

Do nothing

Tempting, and honestly viable for a short while on-premises. But unsupported clients accumulate risk, frozen forms accumulate workarounds, and the migration you eventually do will be under pressure instead of on your schedule.

A practical next step

The fastest way to know your options is to see your own forms running somewhere else. Send us one or two of your most complex form templates and we'll show them to you live in Qdabra Forms, as-is, no commitment. If Power Apps is genuinely the better fit for your situation, we'll tell you that too.

Request a demo with your own forms Email us

October 20th, 2025:

From Chaos to Clarity: How AI Turns Meeting Conversations into Business Intelligence

We've all experienced it: "meeting amnesia." You hang up from a critical call, and within hours, the key decisions and crucial action items begin to fade. But in regulated roles, this isn't just frustrating—it's costly and risky. When a single lookup burns 5-10 minutes and a wrong answer introduces compliance risk, your team's collective expertise becomes a bottleneck instead of a competitive advantage.

This is exactly why we built qDocChat—our intelligent document chatbot that delivers cited answers from 1000+ documents in under 10 seconds. But here's where it gets interesting: the real magic happens when you feed it the structured meeting data that our AI-driven process creates.

Every conversation—whether a daily developer sync, customer call, or compliance review—is filled with insights, decisions, and expertise that, once lost, can never be recovered. The challenge isn't just remembering what was said; it's about transforming unstructured streams of conversation into structured data that becomes instantly searchable, measurable, and actionable.

The Enterprise Knowledge Crisis

This is the classic "human bottleneck": our capacity to process information is fixed at roughly 50 bits per second, but enterprise data doubles every 24 months. Manual search simply can't keep up. Meanwhile, your most valuable knowledge—the nuanced discussions, the context behind decisions, the lessons learned in real-time—disappears into the void of forgotten meetings.

At Qdabra, we've developed a "Conductor-led" AI process that systematically captures this disappearing intelligence and transforms it into a searchable knowledge asset. Our customers reclaim 233-542 hours per technician per year. That's not just about faster answers—it's about turning your team's conversations into your most valuable competitive asset.

The Workflow: From Raw Video to Enterprise Knowledge

Our process doesn't just create meeting summaries; it imposes a consistent, validated structure on conversational data, making it reliable, machine-readable, and enterprise-ready. Here's how it works:

Step 1

Capture the Complete Context

We start with the full MP4 video recording from Microsoft Teams. While auto-generated transcripts miss crucial context, processing the entire video with advanced AI models provides a significant leap in accuracy and understanding.
Step 2

Generate Structured Intelligence

Your AI tool creates a structured summary with standardized sections: key decisions, action items, risks identified, technical discussions, and customer feedback. This isn't just note-taking—it's knowledge engineering.
Step 3

Multi-Pass Validation

Here's where our "ensemble approach" shines. We use different AI models as critics: one reviews the summary against the original video to catch gaps or errors. If the meeting covered technical changes, your designated AI tool reviews for potential issues.
Step 4

Expert Human Synthesis

A human conductor makes the final judgment call, merging the cross-validated outputs into a single, trustworthy report. This maintains the quality and accountability that enterprises require.
Step 5

Instant Enterprise Search

The validated meeting intelligence can be manually added by an admin to qDocChat, where it joins 1000+ other documents. New documents go live in 15 minutes. Now when someone asks "What was the customer feedback on the Q3 feature rollout?" they get a cited answer in under 10 seconds, not a 20-minute search through meeting recordings.

Real-World Enterprise Impact

Regulatory Compliance: Every decision, risk assessment, and mitigation strategy can be captured, structured, and quickly searchable
Customer Intelligence: Client feedback, feature requests, and support patterns become a queryable knowledge base rather than scattered meeting notes.
Technical Debt Prevention: Code reviews, architectural decisions, and technical risks are systematically captured and made accessible to future development cycles.
Process Automation: Previously, you couldn't automate workflows that relied on conversational outcomes because that data was unstructured. Now you can. Imagine describing a business need and having an AI orchestrate the creation of necessary forms, workflows, and reports based on your captured meeting intelligence.

The AI Productivity Reality

Let's be honest about the adoption curve. Month one typically sees a 20% productivity dip as teams learn new workflows. But by month three, our customers consistently report 60-70% productivity increases. The compound effect accelerates from there.

Why? Because you're not just making meetings more efficient—you're building a smarter, data-driven organization where knowledge compounds instead of disappearing.

Getting Started: 5 Keys to Professional AI Prompts

You can begin implementing this "unstructured-to-structured" workflow immediately. The core principle is using AI to create, then validate, then refine structured outputs:

1

Start with Rich Data Sources

Use the most complete source available—full video recordings capture context that transcripts miss entirely.

2

Engineer Your Prompts

Be specific about structure:

Analyze this video and format as JSON with keys for 'regulatory_decisions', 'action_items', 'risk_assessments', and 'customer_feedback'."

3

Deploy Critic Prompts

Always validate:

"Review this JSON against the source video. What action items were missed? Are the risk assessments complete and accurate?"

4

Use Specialist Critics

For technical content, assign expert roles:

"As a senior architect, review this technical discussion for potential architectural risks or technical debt."

5

Human Conductor Override

Always have a human make the final synthesis, creating the canonical document that feeds your knowledge base and automation workflows.

Platform Flexibility for Enterprise Reality

Unlike rigid solutions, this methodology works with any LLM backend—whether that's cloud services like Gemini and Claude, or on-premises deployments for sensitive data. qDocChat deploys in approximately 30 minutes with no code required, adapting to your existing infrastructure rather than forcing architectural changes.

Cloud or on-premises.
Any LLM.
Your security requirements.
Your deployment timeline.

Your Call to Action: Transform Knowledge into Advantage

The difference between organizations that thrive with AI and those that struggle isn't about having better technology - it's about systematically capturing and leveraging the intelligence that already exists in your conversations.

Ready to turn your team's meetings into your most searchable, actionable asset?

Book a 30-minute pilot See qDocChat Demo

What you'll see in your pilot:

Your actual meeting content transformed into structured, searchable intelligence
Sub-10-second responses to complex queries across your document base
The complete validation process that ensures enterprise-grade accuracy
Immediate deployment options that fit your security and infrastructure requirements

This isn't just about faster meetings—it's about building a smarter organization where knowledge amplifies instead of disappears.

Also, check out the latest bi-weekly updates in Qdabra FormsDesigner, where our AI-accelerated development cycle is delivering powerful new features at unprecedented pace.

August 1st, 2025:

The Conductor’s Guide to AI: How We Tame Hallucination and Deliver Real Results

We’ve all seen the magic of modern AI. With a single prompt, it can generate code, draft emails, and summarize hours of meetings. But as anyone who uses these tools knows, there's a catch. The single biggest challenge in using AI effectively isn't its power, but its unreliability. AI models can hallucinate facts, confidently present biased information, and get stuck in sycophantic loops, telling you your ideas are brilliant even when they’re flawed. This is the classic "tail wagging the dog"—letting a powerful but imperfect tool dictate your results.

So, how do you harness the magic without the madness? At Qdabra, we do it by making sure there’s always a human conductor with a baton.

Behind the Curtain: Our Daily Meeting Review Process

Here’s a practical example of how this works. Our daily developer sync-up meeting is a critical information exchange. A simple summary isn't enough; we need a validated, actionable record.

Here is the five-step process our Conductor uses:

Step 1

The Raw Material

We start with the raw data: the MP4 video recording and the auto-generated transcript from Microsoft Teams.
Step 2

The First Draft

We ask an AI skilled in language and nuance, like Claude, to produce a structured summary and list of action items from the transcript. This gives us a solid baseline.
Step 3

The Validation Pass

This is where the ensemble shines. We give a different AI with a massive context window, like Gemini 2.5 Pro, the original video file and the first-draft summary. Its instruction is to act as a critic: "Watch this video and tell me what the first summary missed or got wrong."
Step 4

The Expert Critique

If the meeting covered technical code changes, we bring in a third AI, like Grok, which excels at deep code analysis. It reviews the relevant parts of the discussion and flags potential issues or technical debt.
Step 5

The Conductor's Synthesis

With inputs from three different AIs, the human Conductor now has a rich, cross-validated set of information. They make the final judgment call, merging the best outputs and discarding the errors to create a single, trustworthy report that the team can rely on.

You Don't Need Four Subscriptions to Be a Conductor

You don't need to. The most important takeaway is the mindset, not the number of tools. The core principle is to never blindly trust the first output. Even with a single tool like the free version of ChatGPT, you can act as a conductor.

Here's how:

First Prompt (The Creator): Ask the AI to complete your initial task (e.g., "Draft an email to a client about our new support plan").
Second Prompt (The Critic): In a new conversation, tell the AI: "You are a ruthless editor. Here is a draft email. Tell me what is unclear, what sounds like corporate-speak, and how you would make it more authentic for a client we have a strong relationship with."

This multi-step process forces a critical perspective and helps you catch flaws you might have missed.

Why This Matters to You

We’re sharing this because it’s core to how we work. This Conductor-led process is our commitment to delivering work that is not just fast, but also validated and reliable. It’s how we ensure that our embrace of cutting-edge technology directly translates into higher-quality results and greater trust for our customers.

When you work with Qdabra, you’re working with a team that knows how to lead the orchestra.

July 8th, 2025:

Vision of the Future, Part 1: Qdabra's New Tempo

You can hear it, can't you? That electric hum in the air - a new rhythm, a faster beat. It's the sound of FormsDesigner features reaching fruition at a faster pace.

Welcome to Qdabra's new sound.

The Conductor and His AI Accompanist

For months, our development team has been operating less like a traditional office and more like a budding orchestra. Jimmy, our lead developer, has taken the podium to conduct a breakthrough: we've dramatically reduced the time it takes to create new FormsDesigner features.

Jimmy's innovation was a new, extensible prompt framework - a "prompt ensemble" - that acts as sheet music for our AI instrumentalist. This isn't your average musician; it's an AI keyboardist with lightning-fast fingers, powered by Anthropic's Claude Code 4.0.

This prompt ensemble is our secret sauce: sophisticated instructions that guide the AI to harmonize with our developers, generating, reviewing, and revising feature code with speed and precision.

Think of it this way: instead of ad-hoc requests, our markdown files define complete development workflows - commands that guide Claude Code through exploring requirements, creating detailed implementation plans, and executing code changes one step at a time with built-in quality checks and comprehensive review. Thanks to this process we have shifted from a steady march to a full allegro.

The time saved speaks for itself!

This isn't just a one-off improvement—it's a workflow transformation. Our developers now focus on higher order harmonizations while Jimmy's prompt ensemble inspires AI background synthesis of new feature code.

Developer	Estimated Time (Traditional)	Actual Time (AI-Assisted)	Time Savings
Hilary	87	36	59%
Jimmy	278	97	65%
Samyog	662	239	64%
Sweta	360	244	32%

(Measured over Q2 2025 development cycle)

Tuning for Performance

Musical performances require tuned instruments. When our AI assistance costs hit four figures in May, we adjusted the arrangement. Switching to Claude's Max plan in June capped our per-developer costs at a flat rate, dropping monthly expenses back to three digits.

We're getting the full power of high-end synthesis without a celebrity DJ price tag.

From Monolith to Movement

This success with AI prompt ensembles for development led to other areas of work. We started using long prompts to analyze our internal communications. Then we created prompt libraries for helping customers build business process prototypes.

The journey from discovering a riff to composing a song is long. Our first attempt was fat-fingered for sure. But, over time it got easier. Agile development best practices pushed us to do daily dev sync meetings in March. We started analyzing our Microsoft Teams with the automatically generated transcripts—this approach missed a lot.

Then we tried Gemini 2.5 Pro in early June, and things got better. We stopped deciphering flawed transcripts and just moved to processing entire MP4 video recordings (because Gemini could). The leap in clarity was significant. We weren't just asking for summaries; we were using our custom evolved long prompt to identify potential blind spots and gaps in thinking. Now we're using agentic AI to prompt humans. :)

This multi-tool AI strategy—using Claude for code generation and Gemini for strategic analysis—represents a new approach: selecting the best AI instrument for each specific task.

The Symphony Begins

This new tempo is just the beginning—the sound of Qdabra creating our future, faster. Stay tuned for Part 2, where we'll show you exactly what this new tempo means for you and the FormsDesigner features you've been waiting for.

The symphony is just getting started, and the next movement is all about delivering new value for you to use now.

New in FormsDesigner: Bringing InfoPath Functionality to the Modern Era

We've been rolling out bi-weekly updates focused on feature parity with InfoPath and requests from you, our customers. We're pleased to announce a suite of enhancements designed to make your form-building experience more intuitive and productive. Here are some of the key updates:

Robust Copy-Paste:

To accelerate form creation, you can now copy and paste various elements—including complex sections and people pickers—with the assurance that the associated XPath references and logic will update correctly in their new location.

Dynamic Repeating Tables:

We now support adding repeating tables to your forms! The designer streamlines this process and intelligently applies the right controls based on data type, such as using checkboxes for true/false fields.

Simplified XPath Functions:

A new "insert function" dialog helps you add functions to your XPath expressions, assisting with correct syntax and reducing manual errors.

Enhanced Layout Control:

You now have more granular control over your form's layout, with new options to delete rows and columns from tables and to add page breaks or horizontal lines.

Expanded Customization:

We've added more font options and the ability to specify custom sizes. You can also now define table cell borders and background colors to better align forms with your branding standards.

These updates bring us closer to full InfoPath feature parity while adding the reliability and modern interface you've been asking for.

Our Secret Weapon: AI-Powered Innovation

How are we delivering these powerful new features at such a rapid pace? The answer is simple: we're embracing the power of Artificial Intelligence. We've developed our own suite of AI tools that are revolutionizing the way we work:

qDocChat:

This intelligent chatbot, built from our own document libraries, is transforming our support and development processes.

qFormChat:

We're integrating AI directly into our forms to provide semantic validation, intelligent autofill, and a helpful task pane to guide users.

Internal AI for Accelerated Development:

By leveraging advanced AI models for planning, coding, and code review, we've dramatically reduced our development cycles, allowing us to bring you more features, faster.

AI-Powered Meeting Efficiency:

We're even using AI to summarize our meetings, ensuring we capture every action item, risk, and key takeaway, keeping our team aligned and moving forward at top speed.

The Future is Automated: AI for End-to-End Business Processes

But we're not stopping there. We're currently prototyping a groundbreaking new AI tool that will automate the creation of entire business processes. Imagine describing a business need and having an AI orchestrate the creation of the necessary forms, workflows, reports, and dashboards. This is the future of business process automation, and it's happening now at Qdabra.

See it for Yourself

This is just a glimpse of the exciting innovations we're working on. To see these new features in action and learn more about our vision for the future of form design, we invite you to watch the full webinar.

We're incredibly proud of the work we're doing, and we're committed to empowering you with the most powerful and intuitive form design tools on the market. The future is bright, and we're excited to build it with you.