Smart Internal Knowledge
See how internal knowledge management is evolving in organizations with AI agents.
- Prebuilt agent Ready to use, we do not start from scratch.We start from an agent prepared for this process and configure it with your rules, your systems and your way of working.
- Best practices Built in from day one.The agent's instructions incorporate the process practices we have applied when automating it in different organizations.
- Configured by experts Functional and technology consultants.Specialized consultants support the configuration, integration, testing and go-live of the agent in your operation.
- Agent platform Workforce AI.The agent runs on Workforce AI, GIITIC's own platform that centralizes security, permissions, audit, usage and administration of all your agents.
- Process experience Processes + technology + enterprise software.Behind every agent are years of experience implementing enterprise software and automating processes in companies across Latin America.
- GIITIC software ecosystem The tools the agent needs.We integrate with your current systems and, if you are missing one, the GIITIC ecosystem provides the modules the agent needs to query and act.
Smart Internal Knowledge agent

I'm an artificial intelligence agent trained by experts, ready to use and built with best practices. I am here to answer your team’s questions with your company’s knowledge: I search current policies, procedures and manuals, answer in plain language with a citation of the document, and respect each person’s permissions. What isn’t documented, I don’t make up: I escalate it to the person responsible and help document it.
Prebuilt, but adaptable to each organization.
How I work
- I detectQuestionI receive the question in chat, the portal or email and understand what the person needs to know.
- I understandContext and permissionsI identify who is asking, their role, their site and which documents they can access.
- I analyzeCurrent documentsI search policies, procedures and manuals, and use only the current version.
- I decideGrounded answerI choose what answers the question and detect when the documentation doesn’t cover it.
- I executeAnswer with sourceI answer in plain language with the citation and a link to the document.
- I verifyGaps and improvementI escalate what isn’t documented, log frequently asked questions and flag outdated documents.
Results you can achieve
- in cases resolved per hour with an AI assistant
- +14%Study of 5,179 support agents: the assistant spread the practices of the most experienced.Source: Brynjolfsson, Li and Raymond, QJE, 2025
- for new or less experienced people
- +34%In the same study, the improvement reached 34% for those with less experience, with minimal impact on the most expert.Source: Brynjolfsson, Li and Raymond, QJE, 2025
- of the workday goes to searching for information
- 19%Knowledge workers spend about a fifth of their time searching for internal information or for colleagues who can help.Source: McKinsey Global Institute, 2012
Reference values based on benchmarks and comparable scenarios. Results depend on the characteristics of each operation and are not guaranteed results.
Greater speed, higher quality, lower costs

Greater speed
Automate tasks and connect your information so your team responds sooner and your processes move forward without waiting.
- Answers in seconds, at any hour and through the channel each person uses
- Avoids waiting for other departments to reply to emails
- Speeds up the onboarding of people joining the company
- Brings to the expert only the questions that require their judgment

Higher quality
Standardize the work and control every step so your information is reliable and your results are consistent.
- Answers with the current version of each document
- Cites the source so anyone can verify it
- Gives the same answer to the same question across the company
- Flags outdated, contradictory or incomplete documents

Lower costs
Reduce rework, errors and manual work so your operation delivers more with the same resources.
- Reduces the hours spent searching for information
- Frees experts from always answering the same thing
- Avoids errors from applying outdated policies
- Preserves knowledge when people change roles
Artificial intelligence in internal knowledge management
Before
- 9:00 a.m.9:00 a.m. · MilestoneAn advisor needs to know the travel expense policy before their trip
- 9:00 a.m.9:00 a.m. · PersonSearches shared folders and the intranet and finds two versions of the policy30 min
- 9:30 a.m.9:30 a.m. · PersonWrites to the finance department to find out which one is current and which expenses it covers5 min
- 9:35 a.m.9:35 a.m. · Lost timeWaits for the finance department to reply5 h 25 min
- 3:00 p.m.3:00 p.m. · PersonAn analyst looks up the current policy and answers the email20 min
- 3:20 p.m.3:20 p.m. · Lost timeThe advisor reads the reply after returning from a visit1 h 40 min
- 5:00 p.m.5:00 p.m. · PersonReads the reply and confirms which supporting documents to submit10 min
- 5:10 p.m.5:10 p.m. · MilestoneQuestion resolved at the end of the day
Now
- 9:00 a.m.9:00 a.m. · MilestoneAn advisor needs to know the travel expense policy before their trip
- 9:00 a.m.9:00 a.m. · AgentReceives the question in chat and answers with the covered expenses, the supporting documents and the citation of the current policy< 1 min
- 9:01 a.m.9:01 a.m. · AgentVehicle rental isn’t in the policy; escalates that question to the person responsible with the context< 1 min
- 9:02 a.m.9:02 a.m. · Lost timeThe policy owner replies1 h
- 10:02 a.m.10:02 a.m. · PersonConfirms the answer about rentals and approves adding it to the knowledge10 min
- 10:12 a.m.10:12 a.m. · AgentDelivers the answer to the advisor and logs the new frequently asked question< 1 min
- 10:13 a.m.10:13 a.m. · PersonThe advisor reads the complete answer5 min
- 10:18 a.m.10:18 a.m. · MilestoneQuestion resolved in the morning
Tangible results in your operation
| Indicator | Before | Now | Factor |
|---|---|---|---|
| End-to-end cycle time | ≈ 8.2 h | ≈ 1.3 h | ×6.3 |
| Human work time | 1 h 5 min | 15 min | ×4.3 |
| Waiting time | 7 h 5 min | 1 h | ×7.1 |
| Human intervention | 100% | ≈ 40% | ÷2.5 |
| Team capacity | 1× | ≈ 2.5× | ×2.5 |
Illustrative reference scenario. Times depend on each operation and are validated with your data.
Your team moves from operating to deciding
The capacity the agent frees up goes to analysis, decisions, relationships, exceptions, improvement and innovation.
No more low-value manual tasks
- Searching for documents in folders, emails and intranets
- Answering the same questions over and over
- Forwarding policies and manuals by email
- Clarifying which version of a document is current
- Interrupting experts for simple questions
The team adds value to the operation
- Keeping knowledge clear, current and free of contradictions
- Resolving the questions that require judgment
- Documenting what used to live only in people’s heads
- Improving policies with the most frequently asked questions
- Supporting people who join the company
Your team's professional growth
- Knowledge curatorOrganizes, updates and retires the documents the agent uses.
- Agent supervisorReviews the quality of answers, adjusts sources and permissions and governs the agent’s knowledge.
- Validating expertAnswers the escalated questions and approves new answers for their area.
Agents are only as good as the knowledge and context they handle
It is one of the great challenges of enterprise artificial intelligence (AI): an agent without clear rules, reliable data and business context makes mistakes or stops. That is why knowledge is prepared, governed and improved as part of the project.
- Current internal policies, regulations and rules
- Procedures, instructions and manuals for each department
- Benefits, procedures and frequently asked questions from employees

The knowledge this agent handles
- Owners of each document or topic
- Access permissions by role, department or site
- History of questions, approved answers and detected gaps
60%
of AI projects without AI-ready data will be abandoned through 2026, according to Gartner. Gartner, “Lack of AI-Ready Data Puts AI Projects at Risk,” February 2025
Workforce AI helps you prepare, govern and improve it
- Instructions prebuilt by experts
- Process best practices
- Tools to create and capture knowledge
- Knowledge management
- Integration with your current sources
- Enrichment of existing knowledge
- Ongoing updates
- Knowledge governance
- Continuous learning and improvement
Today it is one agent, tomorrow dozens
Every area will add agents working at the same time. Workforce AI is the control center of your digital workforce, not an isolated script.
Explore Workforce AI- Agent creation and management
- Security, identities and permissions
- Policies and human oversight
- Traceability and audit
- Observability, quality and results
- Models, tokens, usage and costs
- Continuous updates to new AI models and features

Global experience at your service
- Years of experience
- 15+
- Companies in Latin America
- 850+
- Countries
- 10+
- Integrations
- 100+
- ERP and ERP+ modules
- 40
- AI agents
- 20+
Companies that trust GIITIC
Questions about Smart Internal Knowledge
What questions can the artificial intelligence agent answer?
What happens if the answer isn’t in the documents?
How do I know the answer is correct?
Does everyone see the same information?
Do I need GIITIC, or can I use my current systems?
Who controls what the agent does?
How long does implementation take, and how much does it cost?
Does it replace the experts in each department?
Next stepReady to see your agent work in your process?
Let's talk about your operation. A consultant will review your process, your systems and your knowledge, and show you how the agent would work with your rules.
- Demo of the agent with cases from your process.
- Review of your systems and the available knowledge.
- Estimate of the scope and the next step.
Let's talk about your process
Fill in your details and a consultant will get in touch with you.
Registration successful
We'll be in touch with you shortly.







