AI can help us with all sorts of work. We have been looking for about five years at how we could integrate the power of AI developments into AXLR8 product lines. Here are a few examples.

• Sales One simple early success came from batch OCR reading of visiting cards brought back from a trade show or trip. It works really well with competing offers from MS, Amazon, Google and others. The offers are provided on a Freemium basis. Last time we checked you could use 1000 searches a month before hitting a paywall. Nowadays, however, more utility from AI Developments when entering data into your CRM comes from customer enquiry forms on your website or AXLR8 Import Admin for, e.g. your LinkedIn contacts. Specialist suppliers are creating interesting marketing applications. We are monitoring these tools. Soon we will integrate a “best of breed” partner’s offering. Most likely, this will be for lead generation and proposal writing.
• Information Governance We researched the claims of suppliers offering AI to help with SAR redaction. Their utility did not match the claims except in the simplest examples. I would describe the results as worthy of a Khaby Lame reactions TikTok video. We will come back to that in future.
• ATS (applicant tracking systems) seems a good area for AI developments. Applying AI to recruitment strategies could really speed up onboarding staff for rapid deployments or growth. We are also looking at spotting issues with vetting and rights to work.
• Workforce planning Optimising staff journeys and bookings for shifts in security, field marketing, hospitality and counter cover seems achievable. Clients with large data sources to learn from is proving an interesting area of study.
• Finance Brokers We have seen some success with selecting funders. However, none of the AXLR8 AI developments match an experienced commercial finance intermediary professional. You need the experience and client knowledge. Like the IG example of redaction, above, there is a limit to how useful the tool an be. Also, it needs material to learn from. How much insight of a client situation is an AR prepared to type into a system. Any algorithm created by banks for loans seems to miss great funding requirements. It creates the very conditions where clients work through brokers!
• Marketing The next stage of our marketing functions would be if they autogenerated content and knew and could learn from e.g. campaign timing. Most of our clients need quality with low unsubscribe rates in their mailings. So, care would be needed. Can you spot one of our blogs that was co-written by ChatGPT?
• Systems reliability AI is most helpful behind the scenes in predictive self-healing algorithms. These fix our systems regularly before problems arise. This has been a positive AI development.

AXLR8 will carry on investing in development trials. If you feel an area of our products could be automated, please let us know.