Knowledge-grounded answers
Connect approved documents and service information through retrieval-augmented generation. Define how the agent cites sources and responds when information is missing.
Synelo Studio / Expertise
AI agents with a real job to do.
An effective AI agent answers from approved information and performs clearly defined actions. Synelo develops customer-facing and internal assistants connected to your knowledge, workflows and business tools.
Is this for you?
For businesses handling recurring questions, booking requests or internal information searches. A good starting point is a bounded task, reliable source material and someone responsible for exceptions.
01 / AI agents & chatbots
What we build
Controlled tool access
Let the agent look up availability, create a request or update an allowed field. Permissions and validation determine which actions require confirmation.
Human handoff and evaluation
Test typical, ambiguous and unsupported requests. Escalation transfers the conversation context to your team instead of leaving the customer in a loop.
Where it makes a difference
- A support assistant answers product questions and routes unresolved issues to a person.
- A booking assistant checks availability and collects the details needed for a reservation.
- An internal knowledge assistant retrieves procedures from approved company documents.
Specific work. Clearly defined.
Explore the individual systems behind this service. Each starts with a defined task, an integration check and agreed acceptance criteria.
AI receptionist, voice & booking
Handle calls or messages, answer from approved information and check availability. Confirm bookings through the calendar and transfer exceptions with context.
Customer support chatbots & lead routing
Collect enquiries through the website, email or agreed messaging channels such as WhatsApp. Classify the request and hand it to the right person.
02 / SYNELO
A clear path to production
- 01
Understand the workflow
We map the business objective, current tools and constraints. Together we define the outcome and how to measure it.
- 02
Define the scope
Deliverables, acceptance criteria, responsibilities, price and timeline are agreed before implementation. External subscriptions are identified separately.
- 03
Build and validate
We connect the required systems and test real scenarios, permissions, failure handling and the points that need human approval.
- 04
Launch and hand over
You receive the source code, deployment documentation and an agreed support plan. The infrastructure stays on your accounts.
Questions, answered.
How does an AI agent differ from a chatbot?
A chatbot mainly handles conversation. An agent can also use approved tools to perform tasks. The useful distinction is the scope of its permissions and actions, not the label.
Can an AI assistant give incorrect answers?
Yes. Grounding, evaluation and clear boundaries reduce risk but do not eliminate it. We design uncertainty handling and human escalation around the consequences of a wrong answer.
Can the agent access private company data?
Only the data and actions included in the agreed access model. We define source permissions, data flows and provider settings with you before implementation.
Let’s build what’s next
Your next chapter starts with one conversation.
Tell us what slows your business down. We will help define the scope, integrations and next practical step.
Discuss your project hello@synelostudio.com