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AI agent · Knowledge and Compliance

Smart Compliance

See how compliance control 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

Non-compliance is costly: according to the ACFE’s 2026 report, covering 2,402 cases from 143 countries, organizations lose about 5% of their annual revenue to internal fraud.

  • Sample-based review
  • Late findings
  • Policies that are hard to apply
  • Scattered information
  • Actions without follow-up
  • Changing rules
Meet your agent

Smart Compliance agent

Smart Compliance 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 review your documents, information and processes against the policies, requirements and rules you defined: I review every case, not a sample, identify potential violations with their evidence, request corrections or justifications and escalate whatever requires judgment. I flag; decisions and sanctions are up to your team.

Prebuilt, but adaptable to each organization.

How I work

  1. I detectDocuments and transactionsI identify what must go through control: expenses, payments, documents, records or processes.
  2. I understandPolicies and rulesI read the policies, requirements, thresholds and current rules that apply to each case.
  3. I analyzeFull reviewI review 100% of cases: supporting documents, amounts, dates, approvals and duplicates.
  4. I decidePotential violationsI classify findings by severity and separate what is clear-cut from what requires judgment.
  5. I executeRequests and escalationI request supporting documents or justifications from each person responsible and escalate cases with their evidence.
  6. I verifyClosure and recordI verify the responses, record the findings and show the violations that repeat the most.
Results

Results you can achieve

in losses with proactive data monitoring
−50%Proactive data monitoring and analysis was associated with at least half the loss and duration of fraud.Source: ACFE, 2024
greater loss when fraud is detected late
27×The median loss goes from 40,000 dollars, if detected in under six months, to more than 1.1 million after five years.Source: ACFE, 2026
higher cost of non-compliance than compliance
2.71×Average annual cost of non-compliance versus compliance in data protection.Source: Ponemon Institute (sponsored by Globalscape), 2017

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.

    • Reviews each case in minutes, as soon as it occurs
    • Detects violations before payment, closing or the audit
    • Requests supporting documents and justifications without waiting for the next review
    • Applies policy or regulation changes immediately

  • Higher quality

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

    • Reviews 100% of cases, not just a sample
    • Applies the same rules to every department and person
    • Leaves evidence of every review, finding and closure
    • Shows the violations that repeat the most

  • Lower costs

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

    • Prevents payments, reimbursements and records that don’t comply with policy
    • Reduces the risk of fines, sanctions and losses
    • Cuts the hours of manual review by internal control
    • Better prepares internal and external audits
Before and now

Artificial intelligence in compliance control

Before

  1. 8:00 a.m.Milestone120 expense reports are waiting to be reviewed before reimbursement
  2. 8:00 a.m.PersonThe control analyst reviews a sample of 20 against policy3 h 20 min
  3. 11:20 a.m.PersonDocuments three violations and writes to the people responsible30 min
  4. 11:50 a.m.Lost timeWaits for the people responsible to send supporting documents or justifications24 h
  5. 11:50 a.m. · day 2PersonVerifies the responses and closes the review40 min
  6. 12:30 p.m. · day 2MilestoneReview closed (100 expense reports unreviewed)

Now

  1. 8:00 a.m.Milestone120 expense reports are waiting to be reviewed before reimbursement
  2. 8:00 a.m.AgentReviews all 120 expense reports against policy: caps, supporting documents, dates, duplicates and approvals4 min
  3. 8:04 a.m.AgentAsks six people responsible for the missing supporting documents or a justification, with the details of each finding< 1 min
  4. 8:05 a.m.Lost timeThe people responsible respond3 h
  5. 11:05 a.m.AgentVerifies the responses; one expense exceeds the policy with a justification that requires judgment, and it escalates it1 min
  6. 11:06 a.m.Lost timeThe control manager finishes their current task30 min
  7. 11:36 a.m.PersonReviews the escalated case with the evidence and decides15 min
  8. 11:51 a.m.AgentCloses the review and records the findings in the compliance system< 1 min
  9. 11:52 a.m.MilestoneAll 120 expense reports reviewed the same day

Tangible results in your operation

IndicatorBeforeNowFactor
End-to-end cycle time≈ 28.5 h≈ 3.9 h×7.4
Human work time4 h 30 min15 min×18
Waiting time24 h3 h 30 min×6.9
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

    • Reviewing document samples one by one
    • Cross-checking supporting documents, approvals and transactions by hand
    • Writing to each person responsible to request supporting documents
    • Chasing people to make the corrections
    • Updating checklists every time a rule changes

  2. The team adds value to the operation

    • Analyzing risks and their causes
    • Resolving the cases that require judgment
    • Improving policies and controls with the findings
    • Preparing for and supporting audits
    • Training departments on the rules that are broken the most

  3. Your team's professional growth

    • Risk and controls analystUses the agent’s findings to adjust controls and prevent violations.
    • Agent supervisorReviews the quality of the reviews, adjusts rules and thresholds and governs the agent’s knowledge.
    • Rules and policies ownerTurns policies and regulations into clear rules and keeps them current.
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.

  • Current internal policies, procedures and control rules
  • Applicable legal and regulatory requirements
  • Thresholds, caps and approval levels by case type

The knowledge this agent handles

  • Supporting documents and evidence required for each type of document
  • Severity of each type of finding and escalation rules
  • History of findings, accepted justifications and exceptions

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

  • ERP and transactional systemsYour ERP (SAP, Oracle or another) or GIITIC: expenses, purchases, payments, payroll and accounting records.
  • Documents and supporting evidenceDocument management system, email and folders where invoices, supporting documents, minutes and evidence are kept.
  • Policies and regulationRepository of policies, procedures and current regulatory requirements.
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 Compliance

What can the artificial intelligence agent review?
Expense reports, payments, purchases, documents, accounting records, processes and other information, against internal policies, regulatory requirements and rules you define. The cases and rules are confirmed when the project is scoped.
Does the agent decide whether there was a violation or a sanction?
No. It flags potential violations with their evidence and requests corrections or justifications; the final assessment, sanctions and decisions are up to your team.
Does it review everything or just a sample?
It can review 100% of the cases you define, with the same rules for everyone, and leaves evidence of every review.
What happens when a policy or regulation changes?
Your team updates the current rule or document and the agent applies it from that moment, with traceability of the version it used in each review.
How is it different from the Compliance and Quality module?
The module manages requirements, audits, findings and actions; the agent autonomously reviews documents and transactions and records what it finds there.
Do I need GIITIC or can I use my current systems?
You can use your systems. The agent integrates with your ERP, document management system and policy repository 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.
Who controls what the agent does?
Workforce AI centralizes permissions by agent, human approvals, traceability of reviews and findings, statuses and errors, auditing and usage control. You define what it reviews, what it requests directly and what it escalates.
How long does implementation take, and how much does it cost?
It depends on your systems, rules, case types and volume. 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.
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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