How it works
Agentwise connects enterprise knowledge, answers users where they already work, measures what the AI could and could not answer, and turns the result into a practical improvement loop.
The operating model
Enterprise knowledge, user channels, and workflow systems should not live as separate AI experiments. Agentwise sits between them as a governed product layer that answers, acts, measures, and feeds improvement back into the organization.
Existing enterprise context
Operational outcomes
1. Connect knowledge
Agentwise is not limited to a fixed connector catalog. It is product software that connects to enterprise knowledge and workflow environments through supported integrations, imports, and customer-specific API paths.
Connect the places where company knowledge already lives, from standard enterprise systems to customer-specific environments.
The implementation is scoped around access, permissions, update cadence, source ownership, and traceability.
Make policies, manuals, product documentation, website content, uploaded files, and maintained text usable inside the same assistant experience.
Agentwise helps teams see which content answers well, which is stale, and where new documentation is needed.
Connect agents to the systems that should receive tickets, trigger actions, collect missing input, or hand work back to a human process.
Actions are introduced with clear boundaries: what can be automated, what needs approval, and when a human takes over.
2. Operate the knowledge layer
Enterprise knowledge is full of internal shorthand, product names, system names, synonyms, translations, and domain terms. Agentwise helps make that language explicit and usable.
Extract and maintain business concepts such as products, systems, machines, departments, locations, policies, and internal names.
Find internal short forms in shared documents, maintain a glossary, and let employees ask what company shorthand means.
Manage preferred wording, definitions, synonyms, domains, and translations so the agent understands how the company speaks.
See which sources answer well, which create uncertainty, which need ownership, and which should be clarified, updated, or replaced.
Turn recurring missed questions into proposed articles, updates, or knowledge-base improvements.
Keep connected knowledge aligned with changing source material, review what changed, and make stale or conflicting information visible.
3. Answer and act
Agentwise can serve browser chat, Microsoft Teams, WhatsApp, phone support, ServiceNow, and customer-specific API channels. It can answer, show sources, create tickets, call scoped APIs, request input, or hand over to a human.
Answer from configured knowledge sources with citations and source display where the customer wants visible traceability.
Use web chat, Microsoft Teams, phone, WhatsApp, ServiceNow, or customer-specific channels through API integration.
Create tickets, call Power Automate flows, request user input, send SMS, run approved APIs, or hand over when a human should take over.
Track conversations, users, topics, outcomes, channels, languages, time patterns, annotations, and exports.
Review feedback, triage it, comment on it, move it through states, and close the loop when the knowledge or workflow has improved.
Run assessment tests before and after prompt, source, model, or workflow changes so improvements can be tested instead of assumed.
4. Analyze and improve
Answer rates, missed questions, feedback, recurring topics, source quality, channels, languages, time patterns, annotations, exports, and evaluations give teams a concrete operating view.
5. Keep enterprise control
Agentwise is designed for customer-controlled deployment and enterprise IT alignment, not for sending company knowledge into a black box.
Deploy Agentwise into the customer-controlled environment so knowledge and conversations are designed to stay under customer control.
Use SAML SSO, Microsoft Entra ID sync, groups, roles, agent assignments, permissions, API keys, and OAuth-based integration paths.
Configure organization-level model providers and route them by workload, such as chat, knowledge answers, realtime voice, and evaluations.
Use application-level encryption for credentials, secrets, connection data, sensitive configuration, and text content, with deployment-level encryption aligned to the customer environment.
Configure phone lines, realtime sessions, voice instructions, phone-specific behavior, turn detection, interruption handling, and call handover tools.
Adapt themes, customer branding, interface language, translations, locale, timezone, and the way source links appear to users.
Feature overview
This overview is grouped by how the product works, so buyers can see where each capability belongs instead of reading a random checklist.
Next step
Useful context includes the source systems, target channel, deployment environment, identity provider, model preferences, and the first workflow that should become measurable.
Agentwise