AI Chatbots
Support and sales chatbots grounded in your own knowledge.
ERPHUBs builds AI chatbots for websites, WhatsApp and apps that answer from your documents and live data, hand over to humans cleanly, and log every lead into your CRM.
Fewer missed enquiries
Fewer made-up responses
No repeating questions
Why AI Chatbots Needs a Specialist Approach
A useful chatbot answers from your own approved content, knows when to hand over to a person, and gets better with use. A poor one invents answers and frustrates customers. We build chatbots on retrieval from your documents, with citations, guardrails and reporting so you can trust and measure them.
ERPHUBs builds AI chatbots for websites, WhatsApp and apps that answer from your documents and live data, hand over to humans cleanly, and log every lead into your CRM.
Discuss your projectWhat Is Included in AI Chatbots
Each deliverable is scoped, reviewed with you and handed over with documentation.
Knowledge base ingestion
Documents, FAQs, tickets and web pages cleaned and indexed.
Grounded answers with sources
Responses that cite the page they came from.
Human handoff
Escalation to agents with the full conversation attached.
Multi-channel deployment
Website, WhatsApp, Teams and in-app chat from one brain.
Guardrails and safety
Scope limits, tone rules and sensitive-topic handling.
Analytics and tuning
Unanswered questions, deflection rate and satisfaction scores.
Where AI Chatbots Projects Get Stuck, and How We Design Around It
Repetitive support tickets
The bottleneck. Agents answer the same ten questions daily.
How we design it. A bot trained on your FAQs and policies that resolves routine queries and escalates the rest.
Target result: 60% typical ticket deflection
Slow lead response
The bottleneck. Website visitors leave before anyone replies.
How we design it. Instant qualification, meeting booking and CRM lead creation.
Target result: <3s answer time target
Hallucinated answers
The bottleneck. Generic bots invent policies.
How we design it. Retrieval from approved sources, citations and guardrails on topics.
Target result: 95%+ extraction accuracy goal
AI Chatbots: Bottlenecks We Solve, Industry by Industry
Every sector hits different walls. Here is what we see and how we design around it.
Retail and e-commerce
Bottleneck: Order-status questions flood support.
Our design: Bots that check orders, start returns and recommend products.
Healthcare
Bottleneck: Front desks handle repetitive booking calls.
Our design: Appointment and FAQ bots with privacy safeguards and handover.
Education
Bottleneck: Admissions teams answer similar queries.
Our design: Course and fee bots that capture leads and book counselling.
Financial services
Bottleneck: Customers need account-safe self-service.
Our design: Authenticated bots with scoped data access and audit logs.
A Five-Step Delivery Path
- 1DiscoverUse case, data sources and risk rules defined.
- 2DesignRetrieval, prompts and guardrails designed.
- 3BuildEvaluated against real test questions.
- 4LaunchPilot group, human review and feedback loop.
- 5SupportDrift checks, cost tracking and tuning.
Quality, Security and Compliance in AI Chatbots
Grounding and citations
Answers drawn from approved sources and shown with references.
Privacy and data control
Redaction, access rules and no training on your data by design.
Evaluation
Test sets and scorecards run before each release.
Human oversight
Approvals for sensitive actions and easy escalation.
What Affects Timeline and Cost in AI Chatbots
A working pilot is usually ready in 4 to 8 weeks, followed by a measured rollout.
Data readiness
Clean, current documents speed delivery and raise accuracy.
Actions allowed
Read-only answers are simpler than agents that change records.
Volume and latency
Usage level affects model choice and cost.
Languages and channels
Each language and channel adds testing.
Ways to Work With ERPHUBs
Fixed-scope project
A clear scope, timeline and price for well-defined work.
Dedicated team
A named squad that works as part of your team month to month.
Support retainer
Ongoing fixes, updates and monitoring after launch.
Where AI Chatbots Delivers the Most Value
Typical situations where clients bring us in, and what we design for each.
Customer support
Answers from your help articles with sources, then hands off to an agent with context.
Sales and lead qualification
Capture intent, qualify leads and book meetings on web and WhatsApp.
Internal HR and IT helpdesk
Policy and how-to answers for staff, with tickets created automatically.
Multilingual service
English, Hindi and Arabic conversations with tone and escalation rules.
How We Build AI Chatbots
Models and providers
OpenAI, Anthropic and open models, selected by quality, cost and data rules.
Retrieval and data
Vector search and permission-aware retrieval over your documents.
Guardrails and evaluation
Test sets, red-team checks and human review where it matters.
Integration layer
Connectors to CRM, helpdesk, ERP, WhatsApp and email.
How We Measure AI Chatbots Results
We agree measurable targets up front and report against them.
Answer accuracy
Measured on your own test questions, not vendor benchmarks.
Deflection and handling time
Share of requests resolved without an agent and time saved per case.
Cost per task
Token and infrastructure spend tracked against value delivered.
Safety and escalation
Rate of correct hand-offs and blocked unsafe outputs.
Questions to Settle Before Starting AI Chatbots
Where does our data go?
We design for your privacy needs, including private deployments where required.
How do we measure quality?
Your own test questions and reviewer scores, agreed before build.
What happens when the AI is wrong?
Guardrails, citations and human hand-off are built into the flow.
Which model should we use?
We compare options on accuracy, cost and compliance for your task.
Support, Maintenance and Handover
Monitoring and fixes
Uptime, errors and performance watched, with fixes under agreed response times.
Updates and security
Dependencies, platforms and security patches kept current.
Enhancements
A monthly pool of hours for improvements, prioritised with you.
Training and handover
Documentation, recordings and sessions so your team stays independent.
Connected to the Zoho Apps You Already Use
AI Chatbots, Answered
Can the chatbot work on WhatsApp?
Yes. We deploy on WhatsApp Business, your website and in-app chat.
Will it connect to Zoho CRM?
Yes. Leads, tickets and conversations can sync to Zoho CRM, Desk and SalesIQ.
How do you stop wrong answers?
We restrict answers to approved sources, test with evaluation sets and monitor conversations.
How much does AI Chatbots cost?
Cost depends on scope, integrations, compliance needs and the number of users or pages. After a short discovery we give a fixed or phased quote with clear milestones, so you can compare it with other options.
How long does AI Chatbots take?
A working pilot is usually ready in 4 to 8 weeks, followed by a measured rollout.
What support do you provide after AI Chatbots goes live?
We offer support retainers covering fixes, updates, monitoring and enhancements, plus a handover with documentation and training so your team is never locked in.
Tell us about your AI Chatbots project
Share your goal and constraints. A senior consultant replies with questions, options and a scoped quote.
Talk to a certified Zoho expert
Share your details and an expert will call you, usually within working hours the same day.
- Free, no-obligation consultation
- Certified Zoho ERP & CRM professionals
- India, UAE & USA coverage
Request a Call Back
Fill in the form and we’ll get back to you shortly.
Thank you!
We’ve received your request. A certified Zoho consultant will call you shortly.