SC Soft USA · Enterprise AI agents · Automated operations
AI agents that do the work—
with humans in control.
We design, deploy, and operate automated AI agents for real business workflows—not isolated demos or another chat interface. Enterprise AI OS gives every agent a role, approved tools, operating boundaries, measurable outcomes, and human approval where it matters.
Built by the same senior engineering team behind long-running retail and payments platforms across the United States and Latin America.
AI automation grounded in years of production ownership across the U.S. and Latin America.
- Skechers
- PagaTodo
- Grupo Vimenca
- Tecnobuy
Automated AI agents · Real workflows
Start where work crosses systems, rules, and human judgment.
The best first agent is not a generic assistant. It owns a clear operational outcome, works through approved tools, and knows when to stop and ask a person.
Close · reconciliation · AP/AR
An agent can assemble data across systems, compare records, flag mismatches, prepare evidence, and route the decision to the right owner.
Map a finance workflow →Catalog · pricing · inventory · orders
Agents can monitor operational signals, identify channel failures, prepare actions, and escalate anything that falls outside policy.
Map a commerce workflow →Merchant operations · disputes · incidents
Agents can collect evidence, classify exceptions, prepare cases, and support operators while sensitive actions remain under human control.
Map a payments workflow →Onboarding · reporting · service operations
One agent can coordinate approved steps across ERP, CRM, inboxes, BI, and internal tools without becoming another invisible script.
Map an operations workflow →
Enterprise AI OS · Agent operations
Give every AI agent a job, owner, boundaries, and a record.
Enterprise AI OS turns useful automations into accountable operations. Teams can see what is running, what needs approval, where exceptions occurred, and whether the workflow delivered.
- 01
Roles, owners, and boundaries
Give every agent an objective, accountable owner, permission set, and clear operating limits.
- 02
Approved tools and data
Control which systems each agent can read and which actions it may take.
- 03
Workflow playbooks
Define triggers, steps, exceptions, escalation paths, and completion criteria.
- 04
Human approval gates
Keep sensitive or irreversible actions behind the right human decision.
- 05
Operational visibility
Track runs, failures, latency, exceptions, and business outcomes.
- 06
Run history and improvement
Review what happened, compare versions, and improve the workflow with evidence.
Proven operating platforms
Production systems, not AI theater.
Our retail and payments platforms are sold standalone. They also show the operating depth behind our agent work: integrations, exceptions, controls, and years of production ownership.
- SaaS · Retail
Marketplace Hub
One control plane for every marketplace your catalog lives on.
A SaaS hub that connects your catalog, pricing, and inventory to every marketplace and channel — Mercado Libre, Amazon, Falabella, Ripley, your own e-commerce — from a single source of truth.
- Catalog sync. Push and reconcile SKUs, attributes, and media to every channel.
- Order ingestion. Unified inbox for orders from every marketplace.
- Pricing engine. Rules, margins, and competitor-aware repricing per channel.
- SaaS · Retail
Commerce Platform
Storefronts, checkout, and back-office for multi-brand retailers.
A SaaS e-commerce platform for retailers operating multiple brands, regions, and price lists from one back-office. Storefronts, checkout, OMS, and store operations on a single stack.
- Multi-brand. One back-office. Many storefronts, currencies, price lists, languages.
- Headless option. Use our front-ends, or call our APIs from yours.
- Checkout. Conversion-tuned, mobile-first, native to LATAM payments.
- Platform · Banking
Payments & Banking Platform
Acquiring, switching, and terminal apps for banks and PSPs.
A modular payments stack we have built and operated for seven years, currently powering one of the largest acquirers in the Dominican Republic. Switching, acquiring, terminal apps, and merchant tooling.
- Switching. High-availability transaction routing across card networks.
- Acquiring. Merchant onboarding, settlement, chargebacks, reconciliation.
- Terminal apps. EMV, contactless, QR, tip, surcharge, multi-currency.
Selected work
Operations we run, at the scale we run them.
Three operations that show the arc of how we work: the problem an operator brought us, what we built, and what is live in production today.
- Enterprise AI OS · multi-region
Agent control layer for finance ops
The problem. A finance team had a dozen useful agents — close, reconciliation, vendor onboarding — running as scripts no one outside engineering could see, audit, or trust.
What is live. Enterprise AI OS gave operators a governed surface for every run: roles, owners, KPIs, and replay. Controllers approve from one queue. Daily close lands on time, and 'what did the agent do?' has a one-click answer.
15+agent workflows now governed and live - Payments · Dominican Republic
PagaTodo · Grupo Vimenca acquiring
The problem. One of the country's largest acquirers needed switching, terminal apps, and merchant tooling that could carry national-scale traffic without a vendor cycle dictating the roadmap.
What is live. Seven years on the bridge with the same engineers who designed the system. Settlement, disputes, and approvals run on infrastructure we operate alongside the bank — not behind a support desk.
2M+payment transactions processed monthly - Retail SaaS · Chile
Operating platform — multi-brand retail
The problem. Skechers, Tecnobuy, and other multi-brand groups were running back-office, marketplaces, and store operations across spreadsheets, integrations no one owned, and weekly fire drills.
What is live. One platform for catalog, pricing, orders, and store ops. Marketplace listings stay healthy across seven channels. The same team that built it is still on-call — going on year seven.
7 yrsthe same engineers, seven years later
How we can work together
One team from agent design to operations.
Begin with the smallest engagement that produces evidence. Add governance or platform work only when the workflow calls for it.
Deploy automated agents
Best fit. You have a repetitive, cross-system workflow with clear exceptions and a result the business can measure.
Outcome. We map the decisions, connect approved tools, test real scenarios, deploy behind human controls, and stay accountable in production.
Map an agent workflow →Govern an agent portfolio
Best fit. Useful scripts and assistants already exist, but ownership, permissions, approvals, and operational visibility are fragmented.
Outcome. Enterprise AI OS gives every agent a job, owner, approved tools, workflow, KPI, and reviewable run history.
Explore Enterprise AI OS →Strengthen the systems agents depend on
Best fit. The underlying retail, payments, or operational platform needs senior ownership—not another temporary delivery team.
Outcome. We deploy proven products where they fit, or build and operate the tailored platform and integrations the business actually needs.
See proven platforms →
From workflow to production
Map. Deploy. Operate.
Start with one measurable workflow. Expand only after the agent proves useful, controlled, and dependable.
- I
Map
Choose one workflow. Define its trigger, outcome, systems, rules, exceptions, approval boundaries, and baseline KPI.
- Workflow and integration map
- Risk and approval model
- Success metrics and pilot plan
- II
Deploy
Connect approved systems, configure the agent, test real scenarios, and release it behind the right human controls.
- Tools and integrations
- Evaluation scenarios
- Monitored production release
- III
Operate
Review runs, manage exceptions, tune models and tools, control costs, and expand responsibility only after the agent proves reliable.
- Monitoring and run review
- Operating cadence
- Improvement roadmap
Start with one workflow
What work should an AI agent take off your team?
Bring us one repetitive, cross-system workflow with a measurable outcome. We’ll help map the trigger, tools, data, exceptions, and approval points—then decide whether an agent is the right answer.