AI chatbot development
Define the questions the assistant should answer, the information it can use and the point at which a person takes over. Agree the channel and test representative conversations before release.
04 — AI Chatbots & Customer Experience
AI chatbots for customer questions and clear next steps.
Cenqora builds AI chatbots around your approved business information and agreed conversation scope. Connect customer questions to onboarding, support or sales handoffs, with a person responsible when the conversation needs review. Content production and publishing can be scoped alongside the customer journey.
Where an AI chatbot helps.
Service teams repeating onboarding information and updates
Customer teams handling requests across channels
Teams organising content briefs, reviews and publishing
Choose the scope your team needs.
Onboarding and support
Capture the right context, assign requests and keep status and next steps clear. Your team retains its agreed service responsibilities.
Content and social publishing
Plan briefs, formats, quantities and channels. Produce and review the agreed content, then publish through approved account access.
For a chatbot build, discuss a customer-response scope. Content production and publishing keep their separately agreed formats, quantities and channels. Enquire about content production.
See the system in context.
Customer experience — support inbox
Enquiries, knowledge answers and a clear handoff to a person.
Deliverables
What we deliver.
Onboarding steps
Give customers clear information, responsibilities and next steps.
Support intake
Capture the request type and context your team needs.
Support routing
Assign requests to the right owner and flag exceptions.
Status updates
Update customers when a request changes stage or needs input.
Content production and approval
Produce agreed briefs, formats and asset quantities, with review before publication.
Publishing workflow
Coordinate channels, approved assets, access and escalation.
Service reporting
Track request volume, response time, unresolved cases and content status.
How we work.
01
Discover
Current onboarding, support requests, customer questions and content inputs.
02
Define
Request types, ownership, update points, content quantities and service measures.
03
Build
Build and test the agreed onboarding, support and content approval steps.
04
Evolve
Review service cases, content status and handoffs.
Project essentials.
- Agree channels, request types, team ownership and service coverage.
- Customer communications require agreed access and approval.
- Your team retains its agreed response responsibilities.
- Review existing support tools before proposing replacements.
- Agree content formats, volumes and revisions; shoots, creators and licences need explicit scope.
AI chatbot questions, answered.
Can we keep our current support channels?
Where they support the agreed workflow. We review your current channels and their handoff options before proposing changes.
Who answers customer requests?
Your team keeps its agreed service responsibilities. We define routing and escalation with you before use.
Can you produce content and manage social publishing?
Yes, for agreed formats, quantities and channels. Content is reviewed before publishing, with approved account access and publishing permissions.
Can customers see request status?
Where the tools and scope allow it, status updates or a customer-facing view can show progress and next steps.
Can the chatbot answer from our business information?
We scope the approved information, intended questions and update process with you. The build and testing need to show how the assistant handles missing, outdated or out-of-scope information and passes the conversation to a person.
Which channels can you connect?
Channel support depends on the platform interfaces, account permissions and agreed use. We confirm feasibility and any provider costs before committing to an integration.
Is chatbot development included in a social media plan?
A chatbot build is a separately agreed scope unless the quotation explicitly includes it. Published growth-plan allowances and exclusions remain as listed on the pricing page.
What should we prepare for an AI chatbot project?
Bring the questions customers ask, the approved documents or URLs the chatbot may use, and a named owner for keeping that information current. Note outdated or conflicting material and identify who should receive questions the chatbot cannot answer. Channel access and any sensitive information are agreed separately.
How can we review the chatbot before launch?
Agree representative questions and record the approved source, expected answer or human handoff, observed response and unresolved issues. Give each issue an owner before accepting the agreed scope. This is a planning checklist, not evidence that a chatbot has passed testing or will answer every question correctly.
Tell us what you want to improve.
Share the questions customers ask, the channel they use and who handles exceptions.
Need to connect a customer conversation to sales qualification and follow-up? Explore CRM and lead follow-up.
