How Bedrock Pulse gives SMBs clear, daily visibility over AWS AI spend before it becomes a problem.
AI is no longer a nice-to-have for growing businesses. It’s in your products, your workflows, and increasingly, your AWS bill. But for most SMBs, that bill is a black box… until it isn’t.
The hidden cost of running AI on AWS
Amazon Bedrock is a powerful platform. But “pay per token” sounds simpler than it is. A capable model like Claude can run to $15 per million output tokens, whilst a leaner model costs a fraction of that. Combine this with Bedrock Agents that internally invoke models five to ten times per user query, Knowledge Bases, Guardrails, and cross-region inference, and your real-world bill can look very different from your projections.
For SMBs and scaling teams, this isn’t a theoretical concern. One unmonitored workload, a misconfigured agent, or an unexpectedly high-traffic week can turn a manageable AI investment into a budget conversation nobody wanted to have.
Gartner estimates global GenAI spending hit $644 billion in 2025, up 76% year-on-year. Meanwhile, the price difference between the cheapest and most capable models on Bedrock spans more than 100x. And with 58% of small businesses now using generative AI (up from 40% just a year ago, according to the U.S. Chamber of Commerce), the stakes for getting this right are only growing.
Meet Bedrock Pulse
Bedrock Pulse is CloudiQS’s token usage monitoring product, built specifically for teams running workloads on Amazon Bedrock. It cuts through the noise of CloudWatch dashboards and AWS Cost Explorer to give you the one thing that actually matters: a clear picture of what you’re spending, broken down by model, use case, and time period.
Each morning, your team receives a concise usage report delivered directly to your inbox or your Slack workspace. No logging in, no building dashboards, no querying billing APIs. Just the numbers you need to make good decisions, before you start the day. And if there’s been an unusual spike in token usage overnight, you’ll know about it at 8am, not at month-end billing.
Integration is straightforward. Bedrock Pulse connects to your AWS environment quickly, with no infrastructure changes and no lengthy onboarding process.
Not just for the people building it
One of the persistent challenges with cloud AI costs is that the detail lives in tools only engineers tend to look at. AWS CloudWatch is powerful, but it requires setup, expertise, and ongoing attention. Bedrock Pulse takes that signal and surfaces it in a format that anyone responsible for budget, strategy, or growth can read and act on immediately.
For SMBs in particular, where a single team member often wears multiple hats, this kind of ambient visibility is invaluable. You don’t need to become an AWS billing expert. You just need to know whether your AI spend is tracking as expected, and if not, why.
Part of something bigger
Bedrock Pulse sits comfortably within CloudiQS’s broader managed services portfolio. Whether you’re using our Agent Bakery platform to build GenAI automations, optimising costs across your wider AWS environment, or working with us on a migration or security programme, Bedrock Pulse adds a layer of financial observability that makes everything else sharper.
AWS is all we do. And that singular focus means our tooling, including Bedrock Pulse, is built for real AWS workloads by people who spend every day working with them. We don’t offer generic cloud monitoring with an AWS badge on it. We offer something purpose-built for the platform you’re running on.
The cost of not watching
The question isn’t whether your AI usage will grow. It will. The question is whether you’ll have visibility when it does. Bedrock Pulse is a small, easy investment in the kind of oversight that keeps AI a competitive advantage, not an unpleasant line on a quarterly review.
If your team is building on Amazon Bedrock and you don’t yet have a clear view of your daily token consumption, now is the right time to change that.
Get in touch to learn more: hello@cloudiqs.com
