Krista reads your policies, procedures, and live system data to give every employee accurate, governed answers grounded in your real systems of record, without the hallucinations of generic chatbots or the walled gardens of point copilots.
Every department has the same complaint. Sales can't find the latest pricing policy. HR fields the same benefits questions every quarter. Operations doesn't know which procedure is current. Knowledge lives scattered across SharePoint folders, Confluence pages, shared drives, and the heads of senior employees who are about to retire. Employees waste hours hunting for answers, and when they give up, they make decisions on outdated information.
The tools meant to fix this make it worse. Generic copilots are locked inside one vendor's walled garden and don't see the rest of your stack. ChatGPT and Gemini hallucinate confidently and have no awareness of your roles, your policies, or who is allowed to see what. Point chatbots answer narrow questions and break the moment a request crosses a system boundary. None of them are governed for the enterprise.
Krista orchestrates a different model. She ingests your policies and procedures, integrates with your systems of record for real-time data, and applies role-based access controls to every answer. Employees get accurate, current responses tailored to their role, business unit, and geography, and you get a governed audit trail of every interaction.
| Tool | What it does | What Krista does |
|---|---|---|
| Enterprise search | Returns a list of documents and leaves the reading, scanning, and interpreting to your employee. | Returns the answer, from approved sources and real-time system data, scoped to the employee’s role. |
| A wiki | Stores documents and hopes the right person finds the right page. Pages go stale, and nobody is sure which version is current. | Answers directly from the most current approved policy, and only to people authorized to see it. |
| Generic RAG | Retrieves passages from static documents and tends to guess on multi-step questions. | Grounds every answer in verified sources and live data, and honors role, region, and effective dates. |
| Public LLMs | Don’t know your policies, can’t see inside your systems, and answer every employee the same way. | Works only from your approved sources and live data, and tailors each answer to the employee. |
Krista executes end-to-end knowledge retrieval as a unified, cognitive system.
Contact Us to StartKrista ingests your knowledge management systems, policy documents, standard operating procedures, and FAQ libraries. She enters the data flow on day one, with no rip-and-replace, so every answer is grounded in your real, approved source material rather than a generic model's training data.
Krista uses native ML models trained on your data to understand who is asking, what they are authorized to see, and which version of a policy is currently in effect. She delineates access by role, business unit, geography, and time, so sensitive documents stay protected and stale policies stay out of answers.
Krista integrates with your systems of record via APIs to pull live data the moment a question is asked. Employee status, policy status, project state, and any other dynamic data flows into her answers in real time, so responses reflect the current state of your business rather than a stale snapshot.
Krista returns accurate, role-appropriate answers through a conversational interface available 24/7. She handles context-specific questions that vary by role, country, or business unit, escalates to a human when confidence is low, and maintains a governed audit trail of every interaction for compliance and review.
Stop tying up senior employees with the same policy and procedure questions every week. Krista answers routine inquiries instantly across HR, IT, sales, and operations, freeing your teams to focus on the work only humans can do.
Krista tailors every response to the employee's role, business unit, and geography. The same question asked by a sales rep in Dallas and an HR manager in London returns different, correct answers grounded in the policies and data each is authorized to see.
Krista pulls answers only from your approved policy documents and live system data, never from a generic model's training set. Employees get a single source of truth, and you get a transparent, auditable record of every answer she provides.
Krista enforces role-based access controls on every document and system query, so employees see only what they are authorized to see. Sensitive HR records, financial data, and proprietary procedures stay protected, with full compliance and auditability built in.
Enterprise search returns a list of documents and leaves the reading, scanning, and interpreting to your employee. Krista returns the answer. She pulls from your approved sources and real-time system data, scopes the response to the employee’s role, and can act on the request instead of just surfacing where the information might live.
A wiki stores documents and hopes the right person finds and reads the right page. Pages go stale, and nobody is sure which version is current. Krista reads those same sources alongside your live systems, answers directly from the most current approved policy, and shows that answer only to people authorized to see it.
Generic RAG retrieves passages from static documents and tends to guess on multi-step questions. Krista grounds every answer in verified sources and real-time data retrieved from your systems through APIs. She honors role, region, and effective-date access controls, and when she can’t ground an answer she escalates instead of fabricating one.
Public LLMs don’t know your policies, can’t see inside your systems, and answer every employee the same way. Krista works only from your approved sources and live data, tailors each answer to the employee’s role, business unit, and country, and enforces your security controls. Her answers are explainable, so you can see exactly where each one came from.
Schedule a demo today to see how the AI-led Knowledge Management Assistant can transform your operations.
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