1. Image Recognition: Turning Paper Into Data
We're helping a National Industry Association digitise paper docket books - the kind of manual records that have been used for decades. Using AI-based image recognition, the system reads handwritten dockets and converts them into structured, digital records.
Similarly, for a National trucking company, we're using AI to read Weighbridge Dockets. The system validates whether the data on the docket matches what's expected for that tip site - instantly checking for inconsistencies or errors.
These solutions don't just remove paper; they remove manual data entry and potential mistakes.
2. Real-Time Reporting and Prototyping Apps
For a National Flooring Wholesaler, we’re using AI in a very different way - to accelerate reporting and app prototyping.
By using platforms like Replit, we’re building applications that can query the company’s data in real time and generate custom reports and dashboards on demand. This allows clients to explore their own data live, test concepts quickly, and make immediate adjustments - all while maintaining data accuracy and control.
3. Summarising Release Notes with Context
Software evolves quickly, and every release comes with technical notes that are often too complex for non-technical stakeholders.
To fix that, we’ve trained an AI to summarise our release notes - analysing not just the text, but also code changes, video walk-throughs, and original ticket requirements. The output is a clear summary of what was delivered and why it matters.
It saves time for our clients and ensures every release is communicated in plain English.
4. AI-Assisted Website Generation
When we need a quick, static website, AI can help us move faster.
Our designers still create the look and feel, but AI helps generate the website from those designs. It’s not intended to replace full-scale web development — but for simple projects, it’s an efficient, reliable option that gets results fast.
5. Voice AI for Calls and Job Checks
Inbound and outbound calls are critical in many businesses - and also time-consuming.
We’ve implemented voice AI to manage and triage scripted calls, ensuring every call is answered and directed appropriately. We also use the same system to trigger outbound calls for checking on jobs, payments, or other routine updates - freeing up staff for higher-value work.
6. AI-Powered Helpdesk Support
We’ve connected AI directly to our internal management system, allowing it to understand how our platforms work.
This enables an AI Helpdesk Bot that users (both internal and external) can interact with to get answers on system features, workflows, or troubleshooting. It doesn’t replace our support team - it amplifies their reach.
7. Structuring Requests and Tickets Consistently
In our business, every request becomes a ticket that drives action. Using AI, we ensure those tickets follow an approved structure, include complete context, and even contain clear acceptance criteria.
This reduces misunderstandings and helps every team - from developers to testers - work with consistency and speed.
AI That Enhances, Not Replaces
Our philosophy is simple: AI should enhance business, not replace people.
Every example above has one thing in common - it’s about improving efficiency, consistency, and access to information.
These aren’t experiments or future ideas; they’re active, working solutions that are already helping our clients operate smarter.
Closing Thought
AI is no longer about “what if.” It’s about “what’s useful.”
At Dcode Group, we’re not chasing the hype - we’re building software that works better because of it.
