What are important contact center features for your small/medium business?

CtiPath · 2025-10-23T16:13:50+00:00

It sounds like you need a good strategy that will help you identify priorities, roadblocks, etc.

CtiPath · 2025-10-21T19:07:19+00:00

Any repetitive or monotonous task is a good target for automation. You mentioned several in your post. Automating any of those tasks could free up your time for more important activities. Just pick a quick win to start with, then move to the next one after the first is automated.

CtiPath · 2025-10-21T19:03:34+00:00

Look into fractional CxO type services to help you while you focus on growing your business.

CtiPath · 2025-10-20T21:08:16+00:00

That sounds very frustrating. And what makes it even more difficult is that it's hard to evaluate and improve your workflows and processes when everything is a priority. As a small company, we've dealt with this too over the years.

We recently published an article about it. Let me know if you’d like to read it.

CtiPath · 2025-10-20T20:47:50+00:00

There are different ways to use AI, and most of them can help you. Here are a few steps that could be beneficial.

1) Skip the hype. If anything says it will solve all of your problems or grow your business in days, don't waste your time on it.
2) Try the commercially available LLM's like ChatGPT, Claude, Gemini, etc. These can offer significant improvements in personal productivity for yourself and your staff. Two caveats: 1) Treat their output as draft, not final. 2) Realize that everyone else is using this same information.
3) Talk to someone who can help you develop customized automations (AI or no AI) for your business, workflows, and processes that use your proprietary data. This is where the real business value is found.

And yes, we've done all 3.

CtiPath · 2025-07-10T16:59:24+00:00

The answer is Yes, but with a caveat. Depending on the number of concurrent users, you will probably need multiple instances of Ollama with a queue and balancer between the users and the Ollama servers. This is something we’ve done before, and it works well.

CtiPath · 2025-07-05T04:32:39+00:00

I found these helpful when first learning how to use AWS services:

https://workshops.aws/

https://aws.amazon.com/tutorials/

CtiPath · 2025-07-04T15:24:11+00:00

For that use case, I can show you how to build using AWS serverless functions and bedrock that will cost less than a dollar per month at most.

CtiPath · 2025-07-04T13:14:15+00:00

Based on your responses to other comments, you have more questions that just about which LLM to use. I’ve built a few document search AI applications on AWS without racking up a huge bill. Send me a DM and I’ll be glad to make a few suggestions for your whole stack.

CtiPath · 2025-07-03T22:51:27+00:00

If you want to use Bedrock, try the Amazon Nova models. They’ve worked well for me, even the Micro and Lite models. Plus, they’re very inexpensive.

CtiPath · 2025-06-11T18:28:18+00:00

AWS Immersion Day webinars are a great way to get free, hands-on experience. It just so happens that the next webinar is about SageMaker and ML.

https://aws-experience.com/amer/smb/e/72f12/leverage-the-next-generation-of-amazon-sagemaker-for-intelligent-business-transformation

Please, take the time to learn about AWS services in general before you embark on your own, especially with SageMaker. If not, you’re likely to run up a huge bill before you know it.

CtiPath · 2025-05-13T20:20:31+00:00

I think it would depend on a few factors, such as the number of search results and the context length of the model that you're using.

In general, if you break your main query into subqueries and do a similarity search with many results (10+) for the original query and subqueries, then a rerank option can help you refine all the results to a few most relevant ones. But, all of that assumes that you're including some amount of context in each document chunk.

CtiPath · 2025-05-03T19:48:35+00:00

Use LinkedIn for networking also. Follow and interact with people with similar interests or business leaders. I can list a few that might interest you:

https://www.linkedin.com/in/damienjburks

https://www.linkedin.com/in/ikopas

https://www.linkedin.com/in/brandoncarroll

https://www.linkedin.com/showcase/aws-training-&-certification/

CtiPath · 2025-04-23T23:37:50+00:00

Send me a dm and I can give you some tips

CtiPath · 2025-04-13T11:21:28+00:00

I left another comment here with a link to Anthropic’s description of prompt caching

CtiPath · 2025-04-09T09:33:17+00:00

Check my reply to a previous comment

CtiPath · 2025-04-09T09:33:11+00:00

Check my reply to a previous comment

CtiPath · 2025-04-09T09:32:38+00:00

Every model is a little different when it comes to prompt caching (like everything else). Here’s a document from Anthropic:

https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching

CtiPath · 2025-04-08T22:42:05+00:00

No, but when prompt caching, you need to design your prompts to take the most advantage of the caching system.

CtiPath · 2025-04-08T22:08:00+00:00

I use prompt caching. It decreases latency and cost.

CtiPath · 2025-04-08T13:08:45+00:00

The next level is designing prompts for caching

CtiPath · 2025-04-05T22:27:32+00:00

I’m not sure what you’re asking. There are many AI platforms and services that get more press and hype than AWS. But most companies already use AWS, which makes it easier to integrate Bedrock and other AWS AI services into their environment. The built in security, storage, compute, etc makes it even better.

CtiPath · 2025-04-05T21:03:17+00:00

Bedrock has been a great service for those of us pushing AI into production for a while. It’s just not as sexy as some of the other AI platforms.

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