AI Tools
AI that does real work inside your business
AI is only as good as the thinking behind it. So before we build anything, we get to know how your business actually runs - the workflow, the bottlenecks, the people who'll use it day to day. Get that right and the technology does real work. We build to fit the business, not the other way around.
Then we build properly. Tools grounded in your own data, so they answer accurately and cite their sources instead of guessing. We engineer autonomous agents capable of executing multi-step operations directly inside the systems you already run—your CRM, your ERP, your data. We build this for ourselves first which is how we know what holds up in production. This is real engineering, not a chatbot with your logo on it.
We're honest about the rest, too. Not every problem needs AI, and we'll tell you when a simpler fix will do - and we'll make sure your team can actually run what we build, because the best tool is wasted spend if no one uses it. The point was never AI for its own sake. It's outcomes you can measure and stand behind.
AI tools we build
Customers say what they need. The order is built, priced and placed. At Publica, we build ordering tools for your website, portal or app that let customers order by describing, listing or specifying what they need, built from live stock and their own account pricing, and placed through your existing checkout.
What it looks like now
B2B orders can arrive in different ways: by eCommerce, email, phone or spreadsheet. Following that the order is typically keyed into the ERP by someone in the office. Online stores work for customers who know the product codes and less well for anyone who needs to describe a requirement, ask a question or get a recommendation. Those customers go back to email, and the manual entry continues.
What is the impact?
- Orders arrive complete and correctly priced because they were built from your own product and pricing data, not interpreted from an email.
- The office handles exceptions instead of data entry.
- Customers who never used the online store start ordering online because they can describe what they need instead of searching for it.
- Order volume can grow without the order entry workload growing with it.
Quotes built from your pricing rules and your data, from whatever the customer sends.
At Publica, we build quoting tools that take a request in any form, a web form, an order form, a spec list, a drawing, a design or a message. From here, we work out what's needed, apply your pricing rules and produce a quote ready to approve or send.
What it looks like now
Quoting takes longer than it should in most businesses that sell anything configured, custom or priced by customer. Mostly due to manual work, internal processes and disconnected ERPs, The result is that quotes wait, they vary depending on who prepared them, and the business can only quote as fast as those people can work.
What is the impact?
- Quotes go out the same day rather than when the right person is free.
- Pricing is applied the same way every time because the rules are held in one place.
- New staff can quote accurately from the start.
- Your experienced people review and handle the exceptions instead of preparing every quote by hand, and the business can take on more enquiries without adding people to do the quoting.
Show people what they're getting before it exists.
At Publica, we build image generation tools that produce an accurate picture of a product, a space or an outcome from a customer's specification, a photo or a description. By using your own products and your own rules, so the customer can see it, adjust it and approve it before anything is made or bought. What does it look like now?
When a product is made to order, configured, or has to fit into a customer's own space, the customer is asked to approve it from a description, a drawing, a swatch or a picture of something similar.
Most people can't picture the result from that and so sometimes decisions take longer than they should.
What is the impact?
- Customers decide faster and with more confidence because they can see what they're getting.
- Fewer revisions during the sale and fewer changes after the order.
- Sales staff spend less time describing and more time closing.
- Production works from what the customer saw and approved, and disputes about what was ordered are settled by the picture.
Photograph the problem. Get the answer, and what fixes it.
At Publica, we build diagnosis tools that read a photo, a description or a reading against your product knowledge, service records, specifications and known faults. They tell the customer or technician what they're looking at, whether it's right, how to resolve it, and which products do it.
What does it look like now?
A large share of support enquiries aren't complex, and could be solved if the person could identify a part or knew which product they needed. A diagnosis tool answers those on the spot, so your experienced staff are focused on the enquiries that need them.
What is the impact?
- Customers and trades get an answer at the moment they have the question, not when someone's free to reply.
- Fewer wrong installs reach you as warranty claims, because they were checked before the job was closed. Support spends its time on enquiries that need judgement.
- Technicians resolve more on the first visit.
- Knowledge that sat in manuals, specs, service records and experienced staff is available to everyone who needs it, and the business gets a record of which problems occur, with which products, how often, and what solved them.
Agents capable of multi-step, non-linear reasoning. We build systems that can scan highly complex incoming commercial contracts, cross-reference them against internal compliance frameworks and historical pricing models, flag liability anomalies, and update risk registers autonomously.
RAG systems grounded in your own documents, returning accurate, sourced answers from a secure knowledge base. For a national infrastructure project we indexed 250,000+ pages. Search times for critical data dropped from hours to seconds, with zero hallucinated data.