Ask → Analyze → Recommend → Generate → Execute
KnowledgeOps AI
Turn your company’s knowledge into intelligence that queries, recommends, and executes
The KnowledgeOps AI (KO-AI) connects documents, data, systems and corporate histories to turn scattered knowledge into contextualized answers, analysis and business actions.
More than simply finding information, the solution enables people, processes, copilots, and AI agents to use the company’s real-world knowledge to work with greater speed, context, and consistency.
Knowledge that no longer remains stored away, but starts working for the operation.
Your company probably already has the information. The challenge is being able to use it
Contracts, proposals, procedures, tickets, policies, metrics, minutes, manuals, and decisions are scattered across different systems, files, and people.
When this knowledge is not connected to operations, teams spend time searching for information, depend on specialists, and make decisions without all the available context.
Scattered knowledge
Documents, data, and history are distributed across different departments, systems, and repositories.
Reliance on key people
Important information remains concentrated in the experience of a few professionals.
Decisions without complete context
Data, documents, metrics, and histories are not always analyzed together.
Manual content production
Reports, analyses, procedures, summaries, and operational documents consume team time.
What is KnowledgeOps AI?
A corporate layer of intelligence built on the company’s knowledge
The KnowledgeOps AI transforms corporate knowledge into a living foundation of operational intelligence, connected to people’s routines and the organization’s processes. The solution combines:
Knowledge
Data
AI
Agents
Automation
Governance
This structure makes it possible to use documents, histories and corporate information to query, analyze, create, recommend and execute activities with greater context.
View
Find contextualized answers using the company’s real documents, data, and knowledge.
Create
Generate summaries, reports, procedures, responses, root cause analyses, runbooks, and other operational content.
Analyze
Cross-reference information, history and metrics to support operational and executive analysis.
Recommend
Identify next steps, risks, inconsistencies, opportunities or alternatives based on the available context.
Run
Connect agents and automations to enterprise systems to turn knowledge into action within processes.
Much more than an enterprise chatbot
A chatbot answers questions. KnowledgeOps AI (KO-AI) creates an operational intelligence layer over the company’s knowledge.
The solution can integrate different sources, preserve journey context, respect access profiles, indicate the references used, produce analyses and participate in corporate processes.
| Corporate chatbot | KnowledgeOps AI |
|---|---|
| Answers specific questions | Acts across workflows and processes |
| Query specific sources | Connects different sources and systems |
| Depends on the user’s command | Can analyze, recommend, and initiate actions |
| Generates responses | Generates operational responses, analyses, and content |
| Primarily operates through conversation | Brings together knowledge, people, agents, and automations |
| Standalone use | Structured, governed and scalable evolution |
The goal is not simply to converse with documents. It is to enable corporate knowledge to be used in a structured, governed way and connected to operations.
HOW IT WORKS
From scattered knowledge to process intelligence
The journey can begin with a query and gradually evolve through analysis, recommendation, generation and execution within operations.
1
We connect knowledge
We integrate documents, systems, histories, metrics, knowledge bases, databases and APIs.
2
We organize context and governance
We structure knowledge by areas, profiles and domains, respecting permissions, traceability and sources.
3
We apply AI to real-world processes
We create copilots and agents tailored to business journeys, using the company's context.
4
We evolved from answering to taking action
The journey can evolve from: ask → analyze → recommend → generate → execute.
Adoption models
Start with a journey. Evolve as your operation matures.
The KnowledgeOps AI does not need to start at scale. The company can begin with one department, process or document set and progressively expand its sources, users and the role of AI in operations.
Organize the essentials
KO-AI Start
Put knowledge to work
Ideal for starting a structured AI journey based on corporate knowledge.
Key capabilities
First area of expertise
Integration of selected documents and sources
Natural-language queries
Contextualized responses
Identification of the sources used
Summaries and assisted content generation
Basic access control
Less time spent searching for information and less dependence on individual knowledge.
Scale with governance
KO-AI Grow
Turn knowledge into operational intelligence
Expands usage across different sources, departments, and processes, with greater governance and operational control.
Key capabilities
Multiple areas of expertise
Integration with new sources and systems
RBAC by department or role
Specialized templates and prompts
Operational copilots
Recurring analysis and reporting
Integration with ServiceOps and processes
Greater standardization, operational gains, and greater speed in execution and decision-making.
Prioritization, tracking, and continuous improvement.
KO-AI Scale
From knowledge to intelligent operations
Enterprise model for more complex, distributed or mission-critical environments.
Key capabilities
Multiple areas, units, or companies
Advanced governance
Expanded audit trails and traceability
Enterprise integrations
Specialized agents
AI-driven workflows
Integration with automations
Corporate knowledge transformed into a continuous layer of intelligence.
Find the model best suited to your journey
| Dimension | Start | Grow | Scale |
|---|---|---|---|
| Objective | Organize and access | Expand intelligence | Operate with intelligence |
| Profile | First journey | Operational expansion | Enterprise-wide use |
| Domains | Initial | Multiple | Enterprise-wide |
| Sources | Selected | Expanded | Enterprise ecosystem |
| AI-powered queries | Yes | Yes | Yes |
| Content generation | Assisted | Structured | Advanced |
| Copilots | Initial | Multiple | Enterprise-wide |
| AI agents | Not included | Selected applications | Advanced |
| System integration | Selected | Expanded | Enterprise-wide |
| Governance | Basic | Structured | Advanced |
| Automation | Not included | Integration-ready | Integrated |
| Executive visibility | Basic | Recurring | Structured |
| Primary evolution | Knowledge | Intelligence | Operational execution |
A platform that evolves with the company
Start with knowledge. Evolve toward intelligent execution.
KnowledgeOps AI does not need to start big. The journey can begin with one area, process, or document set and evolve as new sources, systems, and processes are connected to operational intelligence.
Conhecimento disperso
Informações distribuídas entre documentos, sistemas, arquivos e pessoas.
Conhecimento conectado
Fontes relevantes integradas e organizadas para criar contexto corporativo.
IA contextual
A IA utiliza o conhecimento real da empresa para consultar, analisar e gerar conteúdo.
Copilotos operacionais
A inteligência passa a apoiar jornadas, atividades e decisões das equipes.
Agentes especializados
Agentes utilizam conhecimento e contexto para analisar situações e recomendar próximos passos.
Execução inteligente
Conhecimento, agentes, sistemas e automações passam a participar da execução dos processos.
Ask → Analyze → Recommend → Generate → Execute
Knowledge applied across the different areas of the company
The KnowledgeOps AI can be used across different areas and processes, always taking into account the sources, rules and needs of each journey.
IT & Operations
Procedures, tickets, architectures, diagnostics, RCAs and runbooks.
Sales
Proposals, contracts, portfolio, customer history, and opportunity support.
Support
Policies, products, history and procedures to support teams and customers.
HR
Policies, procedures, benefits, documents and onboarding.
Legal & Contracts
Clauses, obligations, history, and contextualized document search.
Finance
Rules, documents, analyses and support for carrying out administrative processes.
Management and leadership
Metrics, executive summaries, risks, outstanding items and decision support.
And much more
A platform that can be applied across different processes and areas of the organization.
Benefits
Knowledge begins working for the benefit of operations
Less time searching for information
Teams find the context they need to carry out their activities more quickly.
Greater operational standardization
Different teams and processes begin using the same knowledge base and context.
Governance for enterprise AI
AI usage now takes into account sources, permissions, and rules defined by the organization.
Integration with IntelligentOps
From knowledge to IntelligentOps
The KnowledgeOps AI is part of GotoBiz's IntelligentOps strategy, connecting corporate knowledge, context and agents to the company's automation and engagement journeys.
Diime
Organizes support, communication, channels and conversational journeys.
KnowledgeOps AI
Transforms knowledge into usable context for people, copilots and agents.
Automation Care
Automates processes, connects systems and turns decisions into action.
When these capabilities work together, the company can connect:
Conversation → Knowledge → Decision → Execution
This is where AI stops being merely a productivity tool and starts becoming part of business operations.
FAQ - Frequently asked questions about KnowledgeOps AI
What is KnowledgeOps AI?
KnowledgeOps AI is GotoBiz’s solution for connecting corporate documents, data, systems, and history to transform scattered knowledge into business answers, analyses, recommendations, and actions.
Is KnowledgeOps AI an enterprise chatbot?
No. While it can offer a natural-language consultation experience, its role goes beyond conversation. The solution connects different sources, maintains context, respects access profiles, generates operational content, and can integrate copilots, agents, and automations into the company’s processes.
What data sources can be connected?
KnowledgeOps AI can work with documents, contracts, proposals, procedures, tickets, knowledge bases, minutes, metrics, databases, Data Lakes, corporate systems and APIs. Sources are defined according to the use case and selected journey.
Do we need to connect all company data to get started?
No. The company can start with a specific domain, such as departmental documents, procedures, contracts, or support histories. New sources and processes can be incorporated as the journey evolves.
How does KnowledgeOps AI control access to information?
Knowledge can be structured by area, user, unit, company or profile. This way, each person, copilot or agent uses only the sources appropriate to their context and defined permissions.
Which areas can the solution be used in?
KnowledgeOps AI can support areas such as IT, ServiceOps, Sales, Customer Service, Human Resources, Legal, Finance, Back Office, and Management. The application depends on the available sources and the process the company wants to improve.
What is the difference between the Start, Grow and Scale plans?
Start is recommended for an initial connected-knowledge journey. Grow expands the solution to different sources, departments, and processes. Scale adds specialized agents, enterprise integrations, advanced governance, and greater AI involvement in operational execution.
Can KnowledgeOps AI perform tasks?
Yes. In more mature journeys, agents can use connected knowledge to recommend next steps, trigger integrations or initiate automated activities. This evolution depends on the rules, permissions and systems defined for each process.
How do you identify a first use case?
A good starting point is to identify an area or process where teams spend a great deal of time searching for information, rely on specialists, produce content manually, or need to consult different sources to make decisions.
Your company’s knowledge already exists. The next step is to put it to work.
Turn documents, data, systems and accumulated experience into a corporate intelligence layer capable of supporting people, decisions and processes.
Start with one journey and evolve toward a smarter operation.
Identify an area, process, or set of information where your company wastes time looking for knowledge, relies too heavily on specialists, or still performs activities manually. This may be the first use case for your KnowledgeOps AI.
A GotoBiz specialist will contact you to assess the situation.