1
Answer
Users ask in web chat, Microsoft Teams, phone, WhatsApp, or customer-specific API channels. Agentwise answers from connected sources, shows citations, and can escalate when the answer should not be automated.
Enterprise AI for managed knowledge
Answer questions. Find the gaps.
Agentwise® helps enterprise teams answer from connected knowledge, support users across channels, and turn every missed answer into a concrete signal for better documentation, ownership, or automation.
Customer-controlled deployment
Knowledge operations
Voice, Teams, web, API
Replaceable model providers
Connect the knowledge and workflow systems your organization already depends on. SharePoint, ServiceNow, Confluence, Notion, Airtable, websites, files, technical documentation, and internal APIs are common starting points, not the boundary.
Agentwise explained in under 3 minutes.
The product loop
The answer is only the first step.
A basic chatbot ends when it sends a reply. Agentwise keeps operating after that: it shows what worked, what failed, which source material needs attention, and which requests should become documentation or automation.
2
Analyze
Every conversation becomes operational signal: answer rate, unresolved questions, feedback, source quality, recurring topics, language, timing, actions, and outcomes.
3
Improve
Teams turn missed answers into better articles, clearer ownership, maintained terminology, repeatable evaluations, and scoped workflow actions where automation makes sense.
Operational signal
When 80% gets answered, the remaining 20% becomes the roadmap.
For some customers, Agentwise provides correct, helpful AI answers for around 80% of questions. Teams do not always start there on day one; the rate improves as connected knowledge, terminology, and workflows improve.
The remaining ~20% is just as valuable: it shows where documentation is missing, source material is weak, ownership is unclear, or repeated requests should become automation. Agentwise turns those gaps into a concrete improvement backlog.
Why it works
Enterprise AI improves when the knowledge system improves.
The problem is rarely just model quality. In enterprise environments, the hard parts are source quality, terminology, ownership, permissions, feedback, and repeatable evaluation.
The shift
Useful enterprise AI is operated like a knowledge product, not a one-off chatbot.
Knowledge as operating system
Agentwise does not only search documents. It helps teams manage vocabulary, entities, abbreviations, terms, source quality, and feedback loops behind useful answers.
Misses become visible
Unanswered questions, weak documents, unclear ownership, and requests for missing automation become a backlog the business can act on.
Models stay replaceable
Customers can use Azure OpenAI, other hosted models, or self-hosted options. Models are configured as replaceable providers and routed by workload.
Control matches enterprise reality
Deployment, identity, groups, roles, sources, API keys, and sensitive configuration are designed around the customer-controlled environment.
Where teams start
Different entry points, same operating model.
Teams do not all start with the same use case. The structure stays the same: connect the right knowledge, put the agent where users work, measure what happens, and improve the system.
Internal knowledge search
Give employees one place to ask across policies, onboarding material, HR docs, IT knowledge, process pages, and internal documentation.
Product and manual support
Make technical documentation usable at the point of work with source-backed answers, domain vocabulary, terms, and abbreviations.
IT and service workflows
Connect ServiceNow, catalogs, APIs, ticket creation, handover paths, and scoped actions for repetitive service requests.
Voice support and onboarding
Use realtime voice or phone lines when users need guided help through setup, rollout, or support steps instead of another portal.
Case studies
See how the pattern shows up in real environments.
The cases show different starting points: IT support in ServiceNow and technical documentation in the field.
How CANCOM Uses Agentwise as an IT-Support Agent in ServiceNow
How CANCOM integrated Agentwise with ServiceNow to transform first-level IT support — handling over 42,000 conversations and resolving user queries faster with AI-driven interactions.
42,000+ conversations handled
ServiceNowKnowledge baseTicket creationHuman handoff
Read case study →
Revolutionizing Access to Operating Instructions for Construction Machinery as "Hey TADANO"
How Tadano built "Hey TADANO" on Agentwise — a proprietary AI-powered support system that serves as an intelligent companion for crane operators and service technicians worldwide.
Operating instructions at the point of work
Technical documentationMultilingual accessSource-backed answersBranded assistant
Read case study →
Next step
Have a use case in mind?
Tell us what you want to improve: knowledge search, support workflows, product documentation, Teams agents, or voice support. We will answer with a practical next step.
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