Conversational AI agents for business
A conversational agent (or AI agent) is software that understands natural language, reads your documentation and acts on your systems on its own. It is not a chatbot with a menu of options. It reasons about the context of each conversation, decides what to do and acts: answering a question, creating a ticket in your CRM, booking an appointment or handing over to a person.
At Sphyrna Solutions we build custom conversational agents with Python, LangGraph and RAG. Each agent is built to solve one specific problem in your company: cutting response times, qualifying leads automatically or automating repetitive operations.
What an AI agent does
Four capabilities that set it apart from a traditional chatbot
Understands and reasons
It processes messages in natural language, understands what the user really wants and works out what information it needs to reply. It does not follow a script. It analyses the full context.
Reads your information
It reads your documentation, FAQs, manuals and databases in real time using RAG (Retrieval-Augmented Generation). Answers are based on your real information, not generic data.
Takes action
It connects to your CRM, ERP, calendar, WhatsApp or email and takes action: creating records, booking appointments, sending notifications, updating statuses. No human involved.
Escalates when needed
It detects when it cannot solve something and hands the conversation to someone on your team with the full context. It does not make up answers or leave the user hanging.
AI agent vs chatbot vs human
A direct comparison so you can judge what fits your company
Availability
Monthly cost
Personalised answers
System integration
Smart escalation
Time to implement
Reads documentation
Where they make the biggest difference
Concrete automation examples by industry
Ecommerce
Customer service 24/7, abandoned cart recovery, personalised recommendations
See the serviceClinics
Appointment management, frequent questions, automatic reminders
Real estate agencies
Lead qualification, viewing scheduling, automatic follow-up
Law firms
Case triage, client qualification, consultation scheduling
Customer service
Autonomous resolution of queries with access to internal documentation
Conversational agent solutions for business
Custom development, not generic templates
Every company works differently, so we do not sell an off-the-shelf conversational agent. We analyse how you operate, find where an agent adds the most value and build it to fit, integrated with the systems you already use.
Our conversational agent development covers the whole cycle: designing the conversation logic, connecting your documentation with RAG, integrating with your CRM, ERP and WhatsApp, deployment and maintenance. You start with one narrow case and only scale if the results are there.
Frequently asked questions
What companies ask us before they start
How much does it cost to implement an AI agent?
We analyse your case for free and give you a fixed quote before we start.
How long until it is up and running?
2 weeks for a working prototype with your real data. If it needs complex ERP or CRM integrations, it can take 3-4 weeks.
Do I need technical knowledge to use it?
No. The agent connects to the channels you already use (WhatsApp, web, email) and your team works with it like any other tool. We handle all the technical side.
What happens if the agent cannot answer something?
The agent detects when it does not have enough information and automatically hands over to someone on your team, with the full context of the conversation. It does not make up answers.
Does it integrate with my current CRM or ERP?
Yes. We integrate with HubSpot, Salesforce, Odoo, SAP and any system with a REST API. The agent can read and write data in your systems on its own.
Try a conversational agent in your company
An agent in production, integrated with your systems. Fixed quote before we start.
See the WhatsApp agentNo commitment. A 30-minute technical conversation.