Faster Answers
Handle common pre-sale, support, policy, pricing-context, and service questions without forcing every visitor to call or email.
Give visitors useful answers, relevant next steps, and a safe handoff path without asking the team to repeat the same explanations all day.

Web Conversation Engine
Managed or Private
Modules
The engine is configured around the business's own content, contact paths, products, policies, and support boundaries.
Business Case
Most websites bury answers across pages, PDFs, forms, and support inboxes. Visitors leave when they cannot find the next step quickly.
This product turns approved business information into a guided first-response layer. It is built to answer what it knows, route what it cannot answer, and keep contact options visible.
Handle common pre-sale, support, policy, pricing-context, and service questions without forcing every visitor to call or email.
Capture requirement, location, timeline, budget range, and preferred contact channel before the team follows up.
Ground responses in approved sources and show fallback paths when the available content is not enough.
Workflows
The conversation can qualify intent, recommend relevant pages, and collect useful context before handoff.
A visitor can ask in natural language, receive a scoped answer, compare available options, and move into a booking, email, form, WhatsApp, or CRM flow.
Recommend products, services, pages, or enquiry paths from approved data instead of generic guesses.
Send qualified users to the right team, inbox, booking link, or form with conversation context attached.
Update answers when products, services, policies, pricing language, or contact paths change.
Implementation
Reliable customer-facing automation starts with structured business content.
We clean pages, product details, FAQs, policies, contact paths, and service copy, then index approved sources so the engine can retrieve relevant context for each answer.
Website pages, PDFs, FAQs, catalogues, policies, and location details are cleaned and organised.
The engine retrieves context from selected sources and refuses to invent unavailable information.
The interface can be styled for the website and connected to the client's preferred contact stack.
Control
A customer-facing assistant should never trap users or pretend to know more than it does.
The product is configured with answer boundaries, support escalation, contact visibility, logging, and a maintenance process so the business can keep it accurate over time.
Answers are limited to approved content, with explicit fallback when the answer is not in scope.
Visitors can reach a real contact path when the issue is urgent, sensitive, or commercially important.
Conversation patterns can reveal missing FAQs, confusing pages, and high-intent buyer questions.
Pricing
Pricing depends on the deployment model, number of integrations, data preparation, workflow complexity, governance needs, and ongoing support expectations.
Workflow mapping, system inventory, data review, access planning, risk controls, and the first implementation plan.
Configuration, custom development, integrations, prompts or retrieval flows, dashboards, testing, and handoff documentation.
Hosted operation, monitoring, backups, workflow updates, model usage review, and small improvements after launch.
Variable cost driven by message volume, document volume, model choice, refresh cadence, data size, and automation frequency.
Additional modules, new departments, extra reports, more integrations, custom security rules, or migration support.
Web Conversation Engine is built as a configurable product base, then adapted to the client's data, workflows, software stack, and approval requirements.
Set Up the Engine