Callibrity

Our best client relationships have something in common: a lot of really good questions. Questions that lead to better conversations, which then helps us understand the business behind the technology. And that understanding changes how we work together. Less vendor and client. 🥸 🤝 More shared problem solving. #TechnologyConsulting #TechnologyStrategy #Callibrity

Here’s a test we use for our own consulting work: could the client confidently change what we built without us? Spoiler alert... we want the answer to be yes. While we’re embedded with a team, we explain architectural decisions, share context, pair with engineers, and build capability alongside the solution. Because eventually there will be another requirement, another technology shift, or another person maintaining what we built together. We want the team sitting across from us today to be ready for that day too. #TechnologyConsulting #EngineeringLeadership #CustomSoftware #DigitalTransformation #MakePossible

New episode of The Forward Slash is out now! Our CTO and podcast host, James Carman, sits down with Rich Bowen — six terms on the Apache Software Foundation board, now an open source strategist at AWS. The question they discussed: what happens to open source when writing code gets cheap and reviewing it doesn't? Rich's answer starts with the AI-generated patches he calls "pizzas I didn't order," and ends somewhere in your dependency tree. Link in comments 🎧

AI is shortening the time between “there’s a vulnerability” and “someone can exploit it.” --which puts even more pressure on security and engineering teams to work upstream. A question we’d bring into that conversation: Which vulnerabilities could we prevent from entering production in the first place? Some of the answer may be better detection, and some may live in architecture standards, pipelines, libraries, safer defaults, and engineering practices. The security budget and the engineering budget have never had more reasons to talk to each other. 🤝 #Cybersecurity #CISO #DevSecOps #SoftwareEngineering #TechnologyLeadership

🔎 Your oldest application probably knows things about your business that your documentation doesn’t. That’s worth remembering as AI makes legacy code increasingly easy to analyze, translate, and rewrite. ✨ Before we modernize with a client, one question matters a lot: Which behaviors can we absolutely not afford to lose? The answer often lives with the people who have spent years working around edge cases, exceptions, and business rules buried in the system. ➡️ Bring them into the room before the rewriting begins. #LegacyModernization #EnterpriseArchitecture #DigitalTransformation #SoftwareEngineering #TechnologyConsulting

Giving an AI agent access to more data doesn’t guarantee it understands your business any better. 📣 Your teams may know that “customer,” “active,” or “approved” means something slightly different depending on the system but the agent doesn’t know unless you’ve accounted for it. So alongside “What data does it need?” we’ve started asking: What does it need to understand about that data? That question has a habit of turning AI meetings into very useful data architecture conversations. #DataStrategy #EnterpriseAI #EnterpriseArchitecture #AgenticAI #CIO

Before you automate a workflow, ask your team which part of it shouldn’t exist anymore. 📣 We’ve watched agent conversations change quickly once someone maps the actual process. - An approval exists because of an old system constraint. - Someone manually reconciles information because two applications never talked to each other. - A handoff made sense five years ago and nobody revisited it. If you automate all of that as-is, you may get a very sophisticated version of an outdated process. #AgenticAI #Automation #EnterpriseAI #DigitalTransformation #TechnologyConsulting

What if cost per token is the wrong way to think about enterprise AI? Knowing a workflow consumed 10 million tokens tells you how much AI you used but it doesn’t tell you whether you got your money’s worth. 📣 We think the more useful question is: What did it cost to produce a successful outcome? ✅ A resolved customer issue. ✅ A completed workflow. ✅ An accepted code change. ✅ A task that no longer requires an hour of someone's time. Once you measure AI that way, we find that the conversation changes. Model selection, routing, context, retrieval, and agent design aren't just technical details, they directly affect the economics of the solution. If those economics aren't working, Callibrity can help get underneath the numbers, identify where the opportunities are, and build the changes needed to improve them. What if the goal isn't to minimize tokens? What if it's to make sure the AI you're paying for is creating enough value to justify them? #Callibrity #tokenspend #StayCurious #TechnologyPartner #TechConsulting

Your most expensive AI problem might not be your model, it could the architecture around it. When we look at the economics of an AI application, model pricing is only one place to look. Consider asking: 🔎 How much context are you sending on every request? 🔎 How many calls does an agent make to complete one task? 🔎 Are you paying for a frontier model when a smaller one would get the job done? 🔎 What is being retrieved, cached, or unnecessarily repeated? These can sound like small engineering decisions but at enterprise scale, they can have a very real impact on cost. That’s why our team wouldn’t start by asking, “Can we get cheaper tokens?” We’d ask, “What’s actually driving the spend?” Callibrity can help answer that question, map out what should change, and then work alongside your team to build it. What if the answer isn’t a better contract, it's just better architecture? ✨

90% of companies use AI. Only about 6% see real bottom-line lift. 📈 🧐 That gap is the whole conversation on this week's Forward Slash. Todd James, CEO of Aurora Insights and former Head of AI for Kroger, tells our host and Callibrity CTO, James Carman why most AI spend never reaches the P&L — and how the companies that get it right start with the economics, not the tech. 🎙️ Link in comments. #TheForwardSlash #AI #EnterpriseAI #Callibrity #TechConsulting