Grounded knowledge
Retrieve from approved policies, manuals, product information, FAQs, records, and updates instead of relying on unrestricted model memory.
- Curated sources
- Freshness ownership
- Optional citations
Zamacore builds conversational assistants that answer from approved sources, respect user and staff permissions, capture useful context, and hand over to people when the request is sensitive, uncertain, or outside scope. The assistant can support a website, customer portal, internal workspace, or operational product.
It must know which information is authoritative, who is asking, what action is permitted, and when the conversation belongs with a person.
Retrieve from approved policies, manuals, product information, FAQs, records, and updates instead of relying on unrestricted model memory.
Separate public questions from authenticated account or staff requests and apply the permissions of the connected system.
Transfer the conversation, summary, customer details, attempted answer, and relevant records to staff without making the customer repeat everything.
The experience should be designed around a clear audience and service journey rather than one assistant expected to answer everything.
Answer product and service questions, guide common tasks, collect troubleshooting details, and escalate unresolved cases.
Help authorized staff find policies, procedures, manuals, project knowledge, and approved answers with source references.
Explain offers, identify buyer needs, collect requirements, recommend the relevant next step, and route qualified enquiries.
Guide authenticated users through records, requests, status, forms, statements, or support actions within defined permissions.
Each stage produces evidence for the next decision and keeps the business owner, users, data, controls, and operating outcome connected.
List supported questions, prohibited topics, service goals, identity requirements, actions, and handover conditions.
Select authoritative sources, remove obsolete material, assign content owners, structure access, and define update routines.
Test expected questions, ambiguity, missing context, prompt attacks, sensitive requests, wrong answers, and escalation quality.
Track containment, handover, answer quality, user feedback, unresolved topics, latency, cost, and knowledge gaps.
Controls are selected according to the data, autonomy, affected users, business impact, and consequences of an incorrect or unavailable system.
Review responsible AI in Kenya →These links show the systems, records, integrations, or operational workflows behind the service. They do not imply that every described AI use case is already deployed.
Zivo provides Zamacore’s product foundation for customer communication, live support, and structured handover workflows.
Inspect the foundation →Zamacore can place an assistant inside the authenticated product where account context and permissions already exist.
Inspect the foundation →The existing AI software service covers retrieval, document processing, copilots, evaluation, guardrails, and integration.
Inspect the foundation →Yes. A retrieval system can select relevant content from approved sources and provide it to the model. Quality still depends on document accuracy, access controls, retrieval evaluation, and content maintenance.
It can when the user is authenticated and the integration enforces appropriate permissions, purpose limits, logging, and safe actions. Public visitors should not receive private account data.
Yes. Human handover should be designed from the start, including triggers, queue routing, conversation summary, customer details, service hours, and what the assistant says while the user waits.
Use controlled sources, retrieval evaluation, clear scope, source references, output checks, refusal rules, testing, monitoring, user feedback, and human escalation for uncertain or high-impact requests.
Describe the task, users, current systems, available information, risk, and desired outcome. Zamacore will help define the right assessment, pilot, integration, or software scope.