Platform modernization
Evolving processes, legacy systems and technology capabilities toward operations that are more efficient, scalable and controllable.
Enterprise technology · RegTech · Applied AI
Enterprise technology for regulated institutions: digital evolution under control
IT Evolve modernizes platforms, automates regulatory processes and embeds Governed AI across banks, finance companies, insurers and supervised enterprises. We combine Enterprise Architecture discipline with our own product — FRR Plus — to execute with traceability and audit-ready evidence.
Regulated environments and mission-critical operations Enterprise Architecture and Governed AI
- +20
- years of experience building enterprise platforms
- Banking · Insurance
- supervised, mission-critical sectors
- FRR Plus
- IT Evolve's proprietary RegTech product
IT Evolve pillars
Enterprise Architecture
Design discipline for integrated, governable, mission-critical platforms.
RegTech product capability
Proprietary product development: FRR Plus, our Regulatory Reporting platform.
Governed AI
Artificial intelligence embedded with access control, oversight and clear usage criteria.
Traceability and evidence
Execution with auditable records, validations and end-to-end traceability.
Corporate capabilities
Engineering capabilities for regulated environments
IT Evolve is an enterprise technology and RegTech company. We design and deliver platform modernization, regulated automation and Governed AI, and we build our own product for the regulatory domain.
Enterprise Architecture
Integrated, governable architectures designed to operate across cloud, hybrid and mission-critical environments.
Applied, Governed AI
Intelligent automation, agents and advanced analytics embedded with control, traceability and accountability criteria.
Regulatory Engineering (RegTech)
Versioned rules — Rules as Code —, configurable validations and regulatory artifacts with end-to-end traceability and execution evidence for supervised organizations.
Capabilities
IT Evolve's corporate capabilities
The practice lines through which we deliver modernization, regulated automation and AI governance. Each one solves a concrete operational problem and leaves installed capability inside the organization — not just recommendations.
Modernization and digital transformation
- Problem
- Manual processes, legacy platforms and digital initiatives without clear prioritization.
- Capability
- Maturity assessments, technology roadmaps and redesign of critical processes.
- Outcome
- An executable roadmap that disciplines digital investment and accelerates outcomes.
Enterprise and solution architecture
- Problem
- Tightly coupled systems, fragile integrations and architectures that do not scale.
- Capability
- Cloud and hybrid architecture, API governance, microservices and modernization.
- Outcome
- Scalable, secure, governable platforms — ready to grow without a rewrite.
Regulated automation and applied AI
- Problem
- Repetitive operations, under-used data and decisions without analytical support.
- Capability
- AI-driven automation, enterprise agents and assistants, executive analytics.
- Outcome
- Less manual work, faster operations and data-driven decisions.
Regulatory Engineering and operational traceability
- Problem
- Scattered regulatory reports, weak validations and limited traceability.
- Capability
- Versioned rules, configurable validations, regulatory artifacts and data governance.
- Outcome
- Reproducible deliveries with operational control and execution evidence on every run.
AI governance and adoption
- Problem
- AI adoption without guidelines, control criteria or defined accountability.
- Capability
- AI governance frameworks, usage criteria, leadership enablement and real-world cases.
- Outcome
- AI adoption with clear rules, oversight and a business-value focus.
AI-first
What being AI-first means
At IT Evolve, being AI-first means integrating artificial intelligence across the board: in the strategy, design, automation, operation and governance of enterprise solutions. It is not an optional layer bolted on at the end of a project — it is part of the architectural criteria from day one.
AI Strategy
We define where and how to apply AI with business judgment, prioritizing cases with real value and technical feasibility.
AI Automation
We automate operational, analytical and regulatory processes by combining AI, integrations and business rules.
AI Agents
We design enterprise agents and assistants that support technology, operations and compliance teams.
AI Governance
We build in traceability, access control, evidence and responsible-use guidelines from the design stage.
How we think
Engineering principles
01
Architecture before tools
We define capabilities, constraints and the target architecture first; only then do we choose technology.
02
Evidence by Design
Traceability, acceptance criteria and evidence are designed in from the start — not reconstructed at the end.
03
AI under governance
Enterprise AI with access control, oversight, usage boundaries and traceability.
Regulatory Engineering
From regulation to controlled execution
We turn regulatory requirements into versioned rules — Rules as Code —, explicit data requirements, configurable validations and controlled execution, with auditable evidence on every run. Compliance and business teams own the normative interpretation; we make it executable, traceable and reproducible.
- Regulation
- Versioned rules
- Data
- Validation
- Execution
- Evidence
An IT Evolve product · SaaS RegTech platform in development
FRR Plus, IT Evolve's RegTech platform to automate and govern Regulatory Reporting
FRR Plus is IT Evolve's proprietary product: a SaaS platform for financial institutions and supervised enterprises that need to generate, validate and trace regulatory reports with operational control and audit-ready evidence. The platform is currently in development and is implemented together with IT Evolve's engineering team.
Financial sector
Banks Finance companies Savings institutions Insurers Regulated enterprises
The regulatory problem it solves
Regulatory Reporting still depends on scattered files, manual validations, data that is hard to reconcile and evidence rebuilt at the end of the process.
Report generation
Automated, reproducible Regulatory Reporting.
Configurable validations
Business rules enforced before every submission.
Execution evidence
Auditable backing for every generated process.
End-to-end traceability
Complete operational lineage from data to report.
Regulatory artifacts
Downloadable deliverables ready for the regulator.
Operational governance
Multi-tenant management per institution with access control.
AI-ready (roadmap)
An architecture prepared for AI-assisted regulatory analysis and insights.
Designed for Latin America
Built for the region's regulators and reporting requirements.
From regulatory requirement to evidence
The platform's conceptual chain: every stage leaves a record and makes it possible to reconstruct how a regulatory deliverable was produced.
- Regulatory source
- Rules
- Regulatory dataset
- Validation
- Execution
- Artifact
- Evidence
Expected outcomes
Less manual effort
Stronger operational control
Audit-ready evidence
End-to-end traceability
More consistent reports
Less reliance on tacit knowledge
Designed for
Compliance
Reduces regulatory risk and accelerates the preparation of deliverables.
Technology
Integrates data and processes without adding technical debt.
Operations
Standardizes runs and reduces reliance on tacit knowledge.
Executive leadership
Decides with visibility, traceability and audit-ready evidence.
Regulatory Command CenterIllustrative view
—
Reports
interface example
—
Validations
configurable rules
—
Evidence
auditable record
Report queue
Past-due loan portfolio reportCompleted
Reserve requirement & liquidityValidating
Risk provisionsQueued
AI-assisted Roadmap
Detects inconsistencies before submission, with traceability and evidence available for every run.
Multi-tenant environment · active institution: Demo Bank
Reference interface with fictitious data. It does not represent actual clients or results.
Decision criteria
When it makes sense to talk to IT Evolve
These are the situations where our involvement adds value. If none of them applies, it is probably not the right time yet.
Regulatory Reporting depends on spreadsheets and manual steps
Regulatory closings are held together by scattered files, manual validations and evidence rebuilt at the end of the process.
Legacy platforms are holding back critical operations
Fragile integrations and accumulated technical debt limit your ability to change business processes without operational risk.
AI initiatives need governance and a path to production
Pilots and proofs of concept exist, but traceability, usage control and a technical route to real operation are missing.
An architecture decision needs senior review before you invest
A modernization, platform replacement or new core component is under evaluation, and the design deserves scrutiny before commitment.
Our approach
An approach built on architecture, governance and execution
IT Evolve combines strategic vision, architectural judgment and an outcome orientation. We do not stop at recommending technology: we design executable paths so organizations can evolve with control, traceability and business value.
01
Strategy
We understand the business, its objectives and its real constraints before proposing solutions.
02
Architecture
We design solutions that are scalable, secure, governable and ready to evolve.
03
Artificial Intelligence
We apply AI in a practical, responsible way, aligned with concrete outcomes.
04
Execution
We turn ideas into roadmaps, pilots, products and operating capabilities.
Execution method
Disciplined, governed, evidence-backed execution
Every initiative runs through a five-stage model with control points, acceptance criteria and evidence at each delivery. The goal is not a document — it is verifiable operating capability in production.
- Step 01
Assessment
A verifiable evaluation of the current state: processes, platforms, data model, controls and traceability gaps.
- Step 02
Blueprint
Target architecture, documented technical decisions, data requirements and the execution operating model.
- Step 03
Plan
A phased implementation plan with dependencies, risks, acceptance criteria and expected evidence per delivery.
- Step 04
Pilot
A controlled pilot on a bounded scope: versioned rules, validations and reproducible execution evidence.
- Step 05
Scale
Scaling with operational control, end-to-end traceability and capability transfer to the internal team.
Engagement model
How we work with you
Three collaboration modes with distinct scope. Advisory pressure-tests and structures decisions; implementation builds and operates what has been defined.
Advisory
Executive and architecture advisory
Senior review of technology decisions, target design and governance criteria. No delivery scope: the goal is to pressure-test the approach before committing investment.
Advisory
Focused assessment and roadmap
A verifiable review of the current state — processes, platforms, data and control gaps — and a phased plan with priorities, dependencies and risks.
Implementation
Product and implementation
Building and operating the defined solutions, including FRR Plus implementation when the case belongs to the regulatory domain.
Industries
Sectors where we create impact
IT Evolve has experience in complex environments where technology, regulation, systems integration and operational continuity are critical.
Financial services
Insurance
Digital government
Foreign trade
Regulated enterprises
Organizations in digital transformation
MS
Marco Luis Silva Zegarra
Founder & Technology Architect
Leadership
The technical leadership behind IT Evolve
IT Evolve's delivery capability is grounded in first-hand experience in supervised environments. Marco Luis Silva Zegarra, the company's founder, is a systems engineer and technology architect with more than 20 years designing and delivering platforms across banking, insurance, telecommunications and digital government — environments where traceability, control and operational continuity are critical.
That experience defines the company's engineering standard: modernization under control, regulated automation and Governed AI. Under that standard, IT Evolve is building FRR Plus, its proprietary RegTech platform.
- Founder of IT Evolve
- Technology and solution architect
- Designer and builder of enterprise platforms
- Specialist in regulated environments
Differentiation
Why technology and compliance teams choose IT Evolve
Strategic and technical vision
We combine business understanding with deep technology expertise.
Applied AI with governance
We embed AI with control, oversight and traceability criteria — not as an experimental layer.
Experience in regulated environments
We understand the challenges of traceability, control, compliance and mission-critical operations.
Proprietary product capability
Beyond project engineering, we build our own platforms, such as FRR Plus.
Execution orientation
We work toward concrete results, viable pilots and progressive evolution.
Contact
Assess your next technology or regulatory initiative with IT Evolve
If your organization needs to modernize platforms, adopt artificial intelligence, automate critical operations or evaluate FRR Plus for Regulatory Reporting, we will design an executable path with you.
What the session covers
- Business or regulatory context and objective.
- Current architecture, data and process constraints.
- A recommendation on the next step to evaluate.
Lima, Peru