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AI agent · Productivity

Smart Work Organization

See how work organization 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.
Let's talk about your processSee how the process changes
The current challenge

How it is done today, and why it is no longer enough

Clarity at work is declining: according to Gallup, in 2024 only 46% of employees in the United States knew clearly what was expected of them, 10 points lower than in 2020.

  • Scattered to-dos
  • Everything is urgent
  • Meetings to hand out work
  • Unbalanced workloads
  • Missed deadlines
  • No view of progress
Meet your agent

Smart Work Organization agent

Smart Work Organization agent, an artificial intelligence agent

I'm an artificial intelligence agent trained by experts, ready to use and built with best practices. I am here to turn what reaches your team —requests, emails, meetings and goals— into clear tasks, prioritize them by impact, urgency and goals, and assign them to whoever has the capacity and the skills. If priorities need to change, I propose it to you first.

Prebuilt, but adaptable to each organization.

How I work

  1. I detectNew workI identify requests and commitments in your company’s emails, chats, meetings and systems.
  2. I understandClear tasksI turn each request or goal into tasks with an expected outcome, a due date and context.
  3. I analyzePriorityI rank tasks by goals, impact, urgency, dependencies and committed dates.
  4. I decideAssignmentI propose who should do each one based on their capacity, skills and what they already have in progress.
  5. I executeTeam planI create and assign the tasks in your tool and notify each owner.
  6. I verifyFollow-upI alert you to overloads, conflicts and at-risk dates, and propose adjustments before they happen.
Results

Results you can achieve

of time spent on automatable activities
60–70%Generative AI and other technologies could automate activities that today take up that share of employees’ time.Source: McKinsey Global Institute, 2023
of the day goes to “work about work”
58%According to the vendor, coordinating, searching for information and chasing progress takes up most of knowledge workers’ day.Source: Asana, Anatomy of Work Global Index 2023 (vendor)
have seen projects delayed by volume
88%According to the vendor, urgent projects and large initiatives are delayed or lost because of the number of pending tasks.Source: Asana, Anatomy of Work Global Index 2023 (vendor)

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.

    • Turns requests into assigned tasks in minutes, without waiting for the planning meeting
    • Reorganizes priorities when something urgent comes in
    • Tells each owner what to do and by when
    • Detects at-risk dates in time to react

  • Higher quality

    Standardize the work and control every step so your information is reliable and your results are consistent.

    • Prioritizes with the same criteria of goals, impact and urgency
    • Assigns based on skills and actual workload, not on who happens to look available
    • Keeps the team board up to date and complete
    • Leaves an audit trail of why each task was prioritized and assigned

  • Lower costs

    Reduce rework, errors and manual work so your operation delivers more with the same resources.

    • Reduces the time spent on coordination and on meetings to hand out work
    • Balances workloads to avoid overtime and forgotten tasks
    • Avoids duplicated work by keeping all tasks in a single plan
    • Frees managers to decide and support, not to chase progress
Before and now

Artificial intelligence in team work organization

Before

  1. 8:00 a.m.MilestoneAn urgent customer request and three new to-dos arrive
  2. 8:00 a.m.Lost timeThe tasks wait for the afternoon planning meeting6 h
  3. 2:00 p.m.PersonThe manager reviews to-dos, emails and the board30 min
  4. 2:30 p.m.PersonPrioritizes the tasks in the meeting with the team45 min
  5. 3:15 p.m.Lost timeWaits to confirm the availability of two people busy with other tasks17 h
  6. 8:15 a.m. · day 2PersonReassigns, updates the board and notifies each owner30 min
  7. 8:45 a.m. · day 2MilestoneTasks assigned with priority and due date

Now

  1. 8:00 a.m.MilestoneAn urgent customer request and three new to-dos arrive
  2. 8:00 a.m.AgentDetects the requests in email, the CRM and the board and creates the tasks< 1 min
  3. 8:01 a.m.AgentPrioritizes by goals, impact and urgency and checks the team’s capacity and skills< 1 min
  4. 8:02 a.m.AgentSince the urgency requires moving a task from another project, proposes the change to the manager< 1 min
  5. 8:03 a.m.Lost timeThe manager finishes their current meeting45 min
  6. 8:48 a.m.PersonApproves the priority change proposed by the agent5 min
  7. 8:53 a.m.AgentAssigns the tasks, updates the board and notifies each owner< 1 min
  8. 8:54 a.m.MilestoneTasks assigned with priority and due date the same morning

Tangible results in your operation

IndicatorBeforeNowFactor
End-to-end cycle time≈ 24.8 h≈ 54 min×27
Human work time1 h 45 min5 min×21
Waiting time23 h45 min×31
Human intervention100%≈ 40%÷2.5
Team capacity1×≈ 2.5××2.5

Illustrative reference scenario. Times depend on each operation and are validated with your data.

How work evolves

Your team moves from operating to deciding

The capacity the agent frees up goes to analysis, decisions, relationships, exceptions, improvement and innovation.

  1. No more low-value manual tasks

    • Going through emails and chats to find to-dos
    • Handing out tasks in planning meetings
    • Updating boards by hand
    • Asking one by one how each task is going
    • Reorganizing everything when something urgent comes in

  2. The team adds value to the operation

    • Setting clear goals and priority criteria
    • Deciding priority changes using the agent’s proposal
    • Supporting the team on complex tasks and blockers
    • Balancing workloads and developing the team’s skills
    • Improving how work gets done using progress and workload data

  3. Your team's professional growth

    • Priorities leadSets goals and criteria and decides the changes the agent proposes.
    • Agent supervisorReviews the quality of assignments, adjusts rules and governs the agent’s knowledge.
    • Team capacity analystUses workload and progress data to plan resources and skills.
Enterprise knowledge

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.

  • Company and department goals, targets and initiatives
  • Priority criteria: impact, urgency, customers and commitments
  • Skills, roles and capacity of each team member

The knowledge this agent handles

  • Projects, dependencies and committed dates
  • Assignment, approval and escalation rules
  • Team calendars, absences and shifts

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
Integration

We integrate with your environment

We connect the agent with virtually any application, API, service or data source in your company, whether GIITIC or third-party systems.

Integrations this agent requires

  • Email, chat and calendarEmails, chats, meetings and calendars where requests arrive and availability shows up.
  • Tasks and projectsYour task or project tool (Planner, Jira or another) or GIITIC: boards, tasks and owners.
  • Work-source systemsCRM, help desk, ERP or other systems where requests and commitments originate.
Artificial intelligence (AI) chip

Your agent, connected to your operation

Base systems for agents

If you do not have the base system, we provide reduced versions of GIITIC modules with the capabilities the agent needs to work.

  • Applications and ERP
  • APIs and web services
  • Databases and files
  • MCP (Model Context Protocol), when applicable

An agent needs software tools to query information and carry out actions. Without them, it stays a conversation. That is why we cover both paths: connecting to what you already have or giving you what you are missing.

See GIITIC integrations

95%

of organizations struggle to integrate AI into their existing processes. MuleSoft (Salesforce), Connectivity Benchmark Report 2025, study sponsored with Vanson Bourne and Deloitte Digital

Workforce AI · Central governance platform

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
Map of the Americas with the United States, Mexico, Guatemala, El Salvador, Costa Rica, Panama, Dominican Republic, Colombia, Venezuela, Ecuador, Peru, Bolivia, Chile and Argentina connected from Colombia
Our track record

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+
Learn more about usWhy is GIITIC the ideal partner?

Companies that trust GIITIC

Frequently asked questions

Questions about Smart Work Organization

What work does the artificial intelligence agent organize?
Requests from customers and other departments, commitments from meetings, to-dos from email and chat, and tasks that originate from goals or projects. The sources and tools are confirmed when the project is scoped.
Does the agent decide priorities for me?
It prioritizes using the criteria you define and assigns whatever falls within the rules. Changes that affect other projects, other departments or committed dates are proposed to you so you can decide.
How does it know who has the capacity for each task?
It considers each person’s tasks in progress, calendars, absences and skills. When someone is overloaded, it alerts you and proposes a redistribution.
Do I need GIITIC, or can I use my current tools?
You can use your tools. The agent integrates with your email, chat, calendar and task tool through APIs, services, files or MCP where applicable. If you don’t have the base system, we provide agent modules with the capabilities it needs.
How does it adapt to the way my team works?
The agent is prebuilt, but our consultants configure it with your goals, priority criteria, roles, assignment rules and approvals, and test it with your cases before putting it to work.
Who controls what the agent does?
Workforce AI centralizes permissions by agent, human approvals, decision traceability, statuses and errors, auditing and usage control. You define what it assigns on its own and what requires approval.
How long does implementation take, and how much does it cost?
It depends on your tools, teams, workload volume and rules. Starting from a prebuilt agent avoids developing from scratch. First we talk and scope the project with you; then we prepare the proposal. We don’t publish prices.
What happens to managers and the team?
Managers stop handing out tasks and chasing progress, and spend their time deciding and supporting; the team knows what to do and by when. The agent expands their capacity; it doesn’t leave them without control.
Next step

Ready 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

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