AI chatbots that answer from your own content
Customers want answers now, not tomorrow. A well-built chatbot answers common questions instantly from your own documentation, captures and qualifies leads, books appointments, and hands over to a person, with the full conversation, when a question needs one.
- Grounded answers
- Lead capture
- Support deflection
- 4–6 weeks
- Typical first build
- Your content
- As the source of every answer
- Handover
- To a person when needed
(The problem)
Most chatbots frustrate customers instead of helping them
Rigid menus that can't understand a simple question, or AI that confidently invents answers. Either way the customer leaves annoyed.
A chatbot grounded in your own content, with clear rules about when to hand over to a person, answers quickly without making things up.
What's included
Instant answers, with a person when it matters.
- 01
Grounded answers
Responses drawn from your approved content (RAG).
- 02
Lead capture
Visitors qualified and sent to your CRM.
- 03
Support deflection
Common questions answered, tickets created when needed.
- 04
Bookings
Appointments scheduled into your calendar.
- 05
Human handover
Conversations passed to your team with full context.
- 06
Ongoing tuning
Answers improved from real conversations.
How it works
- 01
Use case
What the bot should handle, what it must hand over, and how success is measured.
- 02
Knowledge
Your documentation, FAQs and policies prepared as its source of truth.
- 03
Build and test
Integrations built and tested against real past questions.
- 04
Launch and tune
Live on your site or channels, with regular conversation reviews.
Mid-Market SaaS Support Team · B2B Software, 3,200 Users
73% of support tickets resolved without human intervention. CSAT from 3.8 to 4.9.
- Support tickets self-resolved
- Before18%
- After73%
- First-response time
- Before4.2 hrs
- After22 secs
- CSAT score
- Before3.8
- After4.9
We had a scripted chatbot for two years that converted nothing. Tecklogist replaced it with a trained AI agent in 5 weeks. The first month it handled 73% of support tickets without any human involvement. Our team now focuses on the 27% of complex cases that actually need them.
Tecklogist vs the alternatives
| Feature | Tecklogist | Scripted Chatbot (Drift / Intercom) | In-House IT Build |
|---|---|---|---|
| Trained on your actual product data | script-based | varies | |
| RAG pipeline, zero hallucination risk | varies | ||
| CRM / helpdesk integration included | basic | extra build | |
| Escalation logic engineered in | basic | varies | |
| Red-team tested before go-live | rarely | ||
| Monitored launch period included | extra resource | ||
| Monthly tuning from conversation logs | self-managed | extra resource | |
| On-premise model option (compliance) | possible |
Tools we use
- GPT-4o
- Claude 3.5 Sonnet
- LangChain
- Pinecone
- Weaviate
- n8n
- Twilio
- HubSpot CRM
Industries we serve
- E-Commerce
- SaaS & Technology
- Healthcare
- Legal & Professional Services
- Financial Services
- Education
- Logistics
- Real Estate
Good questions
Last reviewed October 2026
Will the chatbot make things up?+
We minimise that by grounding answers in your content, testing on real questions and setting rules for when the bot must hand over instead of guessing.
Where can the chatbot run?+
On your website, WhatsApp, Facebook Messenger, Instagram and inside apps.
Can it connect to our CRM?+
Yes, including HubSpot, Salesforce, Pipedrive and most systems with an API.
What happens when it can't answer?+
It hands the conversation to a person, or collects details for a callback, so the customer isn't left stuck.
How is it different from a scripted bot?+
Scripted bots follow fixed menus. An AI chatbot understands questions however they're phrased and answers from your content.
What does it cost?+
A fixed project fee for the build, plus model and hosting costs that depend on conversation volume.
Get a free ai chatbot development proposal
Tell us about the project and we'll send a tailored proposal within one working day, with no commitment.