AI Chatbots / AI & LLM SOLUTIONS
Chat assistants that know their role
A useful chatbot answers a defined set of questions and knows when to hand over. We build assistants around approved service information and a clear purpose, such as helping customers find information or submit an enquiry.
Clear scope · Practical execution · Connected delivery
RAVIAN / ASSISTANT CONCEPT
Can you help me find the right next step?
I’ll check the approved information and guide you through the options.
Approved sources
Defined permissions
Human handoff
ILLUSTRATIVE CONCEPT · NOT A CLIENT RESULT
Request → Retrieve → Review
Useful intelligence, with a clear role and boundaries.
THE OPPORTUNITY
Start with the task. Design for the exceptions.
01
Scattered knowledge
Connect approved sources to a defined use case.
02
Unreliable answers
Test quality, context and escalation paths.
03
Unclear permissions
Keep actions and access within agreed boundaries.
Keep the conversation grounded
Knowledge sources, permitted topics and escalation rules are agreed before deployment. We test difficult questions and unsupported requests so the assistant has a practical fallback when it cannot help.
HOW WE WORK
A clear route from idea to implementation.
01
Define
Agree the task, data sources and success criteria.
02
Prototype
Review a working example with realistic scenarios.
03
Validate
Test quality, access controls and human handoff.
04
Operate
Document ownership, monitoring and ongoing costs.
THE AGREED DELIVERABLES
What we can build together
01
Conversation and knowledge-source planning
02
Website chat and lead capture setup
03
Team handoff and escalation rules
04
Response evaluation and improvement plan
Define what the assistant is allowed to answer
An assistant needs approved sources and a clear fallback when it cannot help.
The work, in detail
- Conversation and source scope
- Lead capture and access rules
- Human handoff
- Response evaluation
ILLUSTRATIVE SCENARIO · NOT A CLIENT RESULT
Illustrative workflow
An enquiry assistant can explain services from approved content and escalate questions outside that material.
Customer support assistants
Support guidance may depend on account-specific information and staff decisions.
The work, in detail
- Approved support knowledge
- Permission and identity requirements
- Escalation and ticket handoff
- Response testing
ILLUSTRATIVE SCENARIO · NOT A CLIENT RESULT
Illustrative workflow
The assistant can explain an approved returns process while sending an account-specific dispute to a person.
BEFORE WE BEGIN
Clear responsibilities. A useful handover.
Model/API usage, hosting and third-party subscriptions are explained separately. Human review is included wherever the agreed task needs it.
We confirm deliverables, dependencies, responsibilities and review points before implementation. Your proposal defines the agreed work.
BEFORE YOU START
Questions before you start
Can it always answer correctly?
No. Difficult inputs and unsupported questions need an agreed fallback.
Will it issue refunds independently?
Only if that action is explicitly permitted and the required controls are implemented.
Related services
Business Knowledge Assistants
Connect this work with the next part of your customer journey.
CRM and GoHighLevel
Connect this work with the next part of your customer journey.
WhatsApp Automation
Connect this work with the next part of your customer journey.
YOUR NEXT STEP
Let’s plan your next step
Interested in AI Chatbots? Tell us what you want to achieve, what is already in place and where you need support.
Prefer email? info@ravianenterprises.com