AI agents move closer to the tools you already own

What we're tracking

• •An agent that works on top of your existing helpdesk Start with the idea, because it matters more than any single product. For most of the last decade, adding a capable new feature to your support stack meant one of two things: wait for your current vendor to build it, or move your data to a vendor who already had it. Migration is expensive in ways that do not show up on the invoice. You retrain a team, you rebuild routing rules, and you risk losing the history that makes past conversations searchable. The cost of switching is often the real reason a business stays with a tool it has outgrown — a tension we looked at in
• •What it costs to run AI, and why that sets your price The second idea is about money, and it explains a great deal of what you will see vendors do this year. Running a capable model costs something every time it answers. If you build AI into your product and pay per call to a model provider, each customer interaction has a marginal cost that never reaches zero. If your customer instead pays a flat subscription for the same class of model, they can do a large amount of work for a fixed monthly fee.
• •Turning one-off prompts into repeatable work The third item is about a habit, not a headline. A prompt typed once into a terminal produces a result once. It is not a process. It cannot be reviewed by a colleague, run again next week, or trusted to behave the same way twice. The gap between a clever one-off and a dependable process is the gap between a demonstration and a tool your team can rely on.
• •When sales is the caboose, not the engine The last item is a shift in how software companies grow, and it affects the tools you will be sold. SaaStr wrote today about an argument making the rounds that sales is no longer as central as it once was [3]. The author is careful — they do not agree with it, but they concede the logic. The logic is that when a product is good enough and cheap enough to try, adoption can lead and sales can follow, rather than the other way round.
• •The thread, pulled together Put the four together and a picture forms. Agents are becoming portable, so the tool that holds your data and the tool that reasons over it need not be the same. The cost of running those agents is real and uneven, so price and model quality are now linked in ways worth interrogating. Repeatability is what separates a demonstration from a process. And the way software reaches you is shifting toward try-first. None of this requires you to act today. It does change the questions you ask before you sign. For the same flow of decisions from a different week, our