AI & AI Agent Development
Company-specific sales & marketing AI agents; AI that trains your team.
AI & AI Agent Development: how it works
AI is far more than "let's add a chatbot". At Saybes we build AI agents that work specifically for your company, are trained on your own data and do real work: answering sales questions, preparing proposals, booking appointments, training your team and automating routine processes.
We build agents on Anthropic's Claude models and feed them your own data — product catalogues, price lists, contracts, past correspondence — via RAG (Retrieval-Augmented Generation). The agent doesn't give generic answers; it speaks your business, in your language and by your rules.
The most requested sales and marketing scenarios: 24/7 customer greeting over WhatsApp and web, collecting qualified leads into the CRM, product recommendations and proposal drafts. On the training side, "coach" agents that rehearse with your sales team, drill objection handling and test product knowledge.
We don't leave the agent on its own; we connect it to your systems — WhatsApp Cloud API, CRM, accounting (Luca), e-commerce and calendars. When a customer messages on WhatsApp, the agent replies, books the appointment into the panel and notifies the team.
The Saybes AI assistant on saybes.com and the Claude-based assistant inside MatCRM are live examples built with this approach. Every agent is defined with clear rules on what it answers and when it hands over to a human; security and privacy are part of the design from day one.
Five reasons to do this with us
The difference is in the details: how we start, what we consider standard and where we stand after launch.
Not a generic chatbot, an agent trained on your data
With RAG it speaks with your product catalogue, prices and rules; it doesn't make things up.
It does real work
It takes bookings, opens CRM records, drafts quotes and notifies the team.
It works on WhatsApp
With the official WhatsApp Cloud API the customer writes, the agent answers and hands over to a human when needed.
Security and hand-over rules by design
What it answers and when it hands over to a human are defined with clear rules; every answer is logged.
We have live examples
Saybes AI on saybes.com and the Claude-based assistant inside MatCRM work with this approach.
Scope: what the quote says is what you get.
The following is the standard scope of this service; it is extended to your needs.
Which businesses benefit the most?
With examples from real work we built in different sectors.
24/7 sales & support assistant
Instant replies and qualified lead capture on the web and WhatsApp.
Sales team coach
An agent that rehearses with your team, practises objection handling and tests product knowledge.
Lead capture & CRM automation
An automatic flow from conversation to CRM record and from record to follow-up.
Process automation
Automating quotes, reports, notifications and routine correspondence.
A proven, current technology stack you can own
No black boxes: every technology we use is open, documented and can be taken over by any team you choose.
The result: four gains measured in numbers
In every project we define the goal at the start, then measure and report after launch.
Response time from minutes to seconds
Customers don't wait; a question that arrives at night isn't a lost lead by morning.
No lead escapes
Every conversation is logged, every interested party is in the CRM.
The team is freed from routine
Repetitive questions and documents go to the agent; the team focuses on sales.
Measurable and improvable
With conversation analytics the agent answers better every month.
How a AI & Custom Agents project proceeds
Get a quote →Discovery
We listen to your goals, competitors and users and draw up a clear roadmap.
Strategy
Scope, architecture and content plan, with measurable goals and a timeline without surprises.
Design
Brand-specific, conversion-focused interfaces; you see them first in an interactive prototype, then approve.
Development
Clean code, a fast and secure infrastructure; a working release at the end of every sprint.
Launch & growth
Testing, launch and afterwards continuous improvement with SEO, advertising and data.
Common questions
Get a quote →What's the difference between an AI agent and a classic chatbot?+
A classic chatbot shows pre-written answers. An AI agent is trained on your data, understands context, genuinely answers the question and can do work — book appointments, open CRM records.
Is our data safe — does it go to the model?+
Your data stays on your server; the model only sees the fragment needed to answer and doesn't retain it for training. We decide together which data is shared.
What if the agent gives wrong information?+
We restrict the agent to the knowledge base you approve and bind it by rules to hand over to a human on uncertain or out-of-scope topics. Every answer is logged.
Does it work on WhatsApp?+
Yes. We integrate via the official WhatsApp Cloud API; the customer writes, the agent replies and hands the conversation to your team when needed.
How long until it goes live?+
A single-scenario assistant usually goes live in 3–5 weeks; comprehensive agents with CRM and WhatsApp integration take 6–10 weeks. We recommend starting small and scaling by measurement.
Stronger when taken together
Let’s talk about your AI & Custom Agents project.
Let’s define the scope together and send you a fixed-price quote within 48 hours.