A business is hiring for an AI assistant. Another team is discussing unwanted answers or an AI bill that keeps climbing. Both can be relevant to OptyxStack, but they call for different conversations.
We use Coryntas to find these demand signals, assess their potential and work with our sales team on a relevant client solution. Coryntas reports 10+ additional closed deals per week for our deployment.
The reported results cover sales and internal operations:
- 10+ additional closed deals per week.
- 200–500 sales conversations per week, including negotiations.
- 80% less work organizing and storing business data.
Results reported by Coryntas for the OptyxStack deployment. The deployment account describes the work behind these figures.
Match the demand to work the business can deliver
OptyxStack helps businesses fix wrong AI answers, reduce inference costs and improve the reliability of production systems. We deliver AI audits, optimization work and ongoing reliability support. Prospecting needs to connect the customer's stated problem to one of those services.
Demand is spread across company websites, freelancer platforms, forums, groups and social networks. Coryntas looks across these sources for potential clients, reads the situation behind a signal and evaluates its fit with our services.
The useful work continues after discovery. A relevant post still leaves questions about what the business needs, whether our services fit and how to approach the opportunity. Coryntas takes on that assessment and brings particularly promising opportunities to our sales team to develop a suitable solution together.
The agent can also engage through a public comment when that is the appropriate way to approach an opportunity. The response starts with the problem raised in the discussion, giving the conversation a concrete basis.
An AI assistant request and an AI repair request need different approaches
When a business is hiring for an AI assistant, the requested job is the starting point. Coryntas assesses the opportunity against OptyxStack's services. For a particularly promising client, the agent collaborates with sales on a solution around what the business wants the assistant to accomplish.
A team discussing high AI costs or unexpected behavior already has a system to improve. Coryntas identifies the opportunity and can respond to the discussion or bring it to sales. That provides a relevant opening for an audit or optimization engagement, grounded in the difficulty the team has described.
This distinction matters when designing sales-agent work. Recognizing an AI-related phrase does not establish a suitable offer. The expressed need has to inform the approach, and developing a client solution still involves the sales team.
Keep sales exchanges and closed deals distinct
Coryntas reports 10+ additional closed deals per week, alongside 200–500 weekly sales conversations, including negotiations, for this deployment. The result combines autonomous opportunity discovery and assessment with our team's work on the client solution.
The conversation figure describes sales exchanges; it is not a count of distinct new customers. The two weekly figures do not establish that those conversations and closes belong to the same cohort, so they should not be divided into a conversion rate. Coryntas's contribution to discovery and assessment also does not mean the agent closes contracts autonomously.
Organize the knowledge employees need during daily work
Alongside sales, we use two Coryntas agents in production for internal knowledge work. As an IT services business working across multiple customers and systems, we have information about employees, customers and market context spread across different sources.
The information organization agent brings dispersed material together and automatically organizes and refines it into a more usable form. It takes on gathering, sorting and preparing business information, reducing the work of keeping it organized and helping avoid information mix-ups across customer contexts.
The employee knowledge assistant answers questions about systems and client data. It gives employees a direct way to reach the information relevant to their work. Faster retrieval leaves more time for the tasks that need an employee's attention.
Coryntas reports an 80% reduction in the work required to organize and store business data for this deployment. That figure concerns knowledge preparation; it does not describe a reduction in sales effort or an increase in revenue.
The two roles address different parts of information work: preparing knowledge for use and helping someone find the answer they need. Our original case study covers both the sales and internal knowledge deployment.
What information makes a public demand signal worth bringing to your sales team?
Adapted with AI assistance from OptyxStack's published case study.
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