Know what it may use
Approved collections, currency, ownership and access are designed before the interface.
AI assistants / Customer guidance
Help customers find the right answer while keeping a person within reach.
A customer-guidance assistant helps website or portal users navigate approved services, products, processes and support information. GA Applications designs direct answers, source links, qualification questions and hand-off routes so the assistant can guide and prepare an enquiry without inventing prices, availability, policy or commitments that the business has not approved.
Bounded requestCan this customer request be completed online?
RequestRetrieveDraftReview
Draft with evidence
The assistant has prepared a response, but it is not an approved decision.
1Customer service guide / eligibilityapproved source
2Handoff directory / specialist routecheck currency
Pending review. No external action is available in this demonstration.
Approved sourcesVisible evidenceRole permissionsHuman reviewEvaluationDisable path
Useful because the job is bounded. Trustworthy because the boundaries are visible.
AI assistance belongs inside a designed operating process. It does not replace accountable people, authoritative records or competent professional judgement.
Let people inspect support
Citations, source context and uncertainty travel with the draft.
Keep decisions attributable
Permissions, review, escalation, logging and shutdown routes match consequence.
01
Define what the assistant may represent publicly.
We establish approved topics, wording, policies, current service information and subjects that must go directly to staff.
In scope
Frequently asked questions and navigation with maintained sources.
Out of scope
Unapproved price, contract, diagnosis, legal conclusion or availability.
02
Keep the assistant useful without trapping the visitor.
Direct answers, suggested routes, visible sources and persistent human contact make chat one option within the website journey.
Choice
Let users browse, search or contact without opening the assistant.
Clarity
Identify it as automated and avoid a fake human persona.
03
Prepare enquiries with explicit consent.
The assistant can gather structured needs and create a summary for the visitor to review before it is sent to the business.
Review
Show captured details, recipient and privacy context before submission.
Receipt
Confirm successful server delivery and provide a reference or next step.
04
Protect visitors and the business from confident invention.
Sources, refusal rules, abuse controls, privacy, logging and escalation are tested before public release.
Commitments
Do not create quotes, promises or policy exceptions without authority.
Privacy
Avoid requesting sensitive free text and never send it into analytics.
05
Launch from a tested question and hand-off set.
Evaluation includes supported answers, conflicting sources, hostile prompts, vulnerable users, accessibility and failed form delivery.
Editorial
Owners review public answer quality and source freshness.
Operations
Staff can receive, understand and respond to handed-off context.
Questions worth answering
What teams ask before they commit.
Can the assistant answer questions at any time?
The software can be available outside business hours, but it must distinguish automated guidance from staffed support and describe response expectations accurately.
Can it provide prices?
Only approved current prices or ranges from maintained public sources. Project-specific estimates require an appropriate scoping and human approval process.
Guide without overpromising
Map the customer questions and hand-offs your website should handle.
We can build a source-grounded demonstration and evaluate it before public release.