Financial · Government
A state trust company
Automation of commercial and customer experience processes through an intelligent Customer Data Platform with strict data governance.
Product · LIFE·IN·CO Agentic OS for Enterprise
One platform that replaces 50+ enterprise tools.
The Agentic OS for your enterprise: AI agents on Google Cloud (Vertex AI, Gemini 2.5) that execute your finance, sales, marketing, operations, logistics, legal, and HR processes end to end. Not a pilot, not a copilot. A platform operating today, with five enterprise deployments in production and millions of records processed.
Executive summary
30-second read
Your company runs on 50+ tools that do not talk to each other. LIFE·IN·CO replaces them with a single agentic layer on Gemini 2.5 Flash and Gemini 2.5 Pro (Vertex AI): specialized agents that read context, decide, execute through APIs, and escalate to a human only when needed. It covers eight functional modules, from finance to business intelligence, integrating with your existing ERP and systems with no massive migrations. It is in production with three enterprise deployments in Colombia: a state trust company, a global audit and consulting firm, and a multi-sector business group. Operational error in automated flows was drastically reduced and processed volumes exceed millions of records.
Modules
Eight modules. One platform.
- 01
Finance & Treasury
Reconciliation, receivables, credit, e-invoicing, and financial reporting executed by agents. Replaces manual operation across SAP, Oracle, and QuickBooks, integrating with your current accounting.
- 02
Sales & CRM
Sales order creation, lead qualification, pipeline updates, and customer profile unification with no data entry. Replaces operation across Salesforce, Pipedrive, and HubSpot CRM.
- 03
Marketing
Content generation, segmentation, campaigns, and acquisition analytics orchestrated by agents. Replaces manual work across HubSpot, SEMrush, and Marketo.
- 04
Operations
Automation of internal processes, approvals, and production workflows end to end. Replaces manual coordination across SAP ERP, Monday, and Asana.
- 05
Logistics & Last Mile
Purchase orders, distribution, routing, and inventory management executed automatically. Replaces operation across Oracle SCM, SAP Ariba, and custom WMS.
- 06
Legal & Compliance
Reading, validation, and audit of contracts and regulatory documents with full traceability. Replaces the manual flow across DocuSign and ContractPodAi.
- 07
Human Resources
Onboarding, payroll, personnel document management, and labor compliance assisted by agents. Replaces operation across Workday, BambooHR, and ADP.
- 08
Business Intelligence
Agents keep your dashboards live: they cross-reference data from every module and refresh reports in real time. Feeds Tableau, Power BI, and Looker directly with no manual extraction.
Production deployments
Five enterprise clients. Zero eternal pilots.
Audit · Logistics
A global audit and consulting firm
Deployment in audit and logistics operations. Processing, extraction, and reconciliation of manual data to automate sales orders, distribution, and e-invoicing.
Public Funds Audit
A multi-sector business group
Massive document processing under high fiscal responsibility: millions of records from public social and infrastructure programs, with computer vision for risk detection.
Business model
We operate intelligence. We don't sell licenses.
Most technology firms sell licenses: you pay per user, install the software, and the relationship ends there. LIFE·IN·CO works differently: we build and operate dedicated AI platforms for each client. Access is to results, not code. The IP stays with LIFE·IN·CO.
| Dimensión | SaaS tradicional | LIFE·IN·CO |
|---|---|---|
| What it sells | Software license | Operational results |
| IP | Client's or shared | 100% LIFE·IN·CO |
| Price | Per user / per site | Per volume / outcome / retainer |
| Relationship | Transactional | Ongoing consultative |
| Churn | High (easy switching) | Low (high switching cost) |
The platform improves over time
Each operational cycle produces data that refines the models. The system you have in month twelve is more accurate than in month one, at no additional cost.
No license dependency
With LIFE·IN·CO the relationship is that of an operational partner, not a vendor. No forced renewal cycles or updates the client must manage.
Consultative relationship from day one
We do not implement and disappear. We monitor, adjust, and accompany every decision that involves the platform.
AI architecture
Inference core on Gemini 2.5 via Vertex AI.
The platform engine orchestrates Google foundation models according to the cost and complexity of each task, with a cloud architecture designed to scale on Google Cloud Platform.
Vertex AI · Gemini 2.5 Flash and Pro
Gemini 2.5 Flash for high-frequency tasks (field extraction, primary classification, support dialogues) and Gemini 2.5 Pro for complex logical reasoning (contract audit, billing reconciliations).
GKE Autopilot · Autonomous agents
Containerized agent scaling with elastic provisioning according to processing volume, with no manual node management.
BigQuery and Document AI
Central Data Lakehouse for unstructured data and massive analysis of processed documents, with semantic vector search (RAG) at the scale of gigabytes of historical records.
FinOps by design
Technical isolation of inference billing under the 80/20 rule: 80% of automated tasks run on the lower-cost model and only complex reasoning escalates to the larger one. Daily budgets and credential rotation via Secret Manager.
Frequently asked
What teams ask before deploying.
What is the LIFE·IN·CO Agentic OS?01 +
It is a single AI agent platform that replaces 50+ enterprise tools. Instead of operating 50 systems that do not talk to each other, agents read context, decide, execute through APIs, and escalate to a human only when needed, across eight modules: finance, sales and CRM, marketing, operations, logistics, legal, HR, and business intelligence. It operates in production on Google Cloud with enterprise clients in Colombia.
How is it different from an AI pilot or a chatbot?02 +
The platform executes complete end-to-end workflows with verifiable operational outputs: sales orders created, invoices reconciled, records classified, and risks identified. According to MIT, only 11% of AI pilots reach production. This platform was designed from day one for that 11%: production-ready data pipeline, operational governance, and auditable manifests.
Which AI models does the platform use?03 +
The inference core orchestrates Gemini 2.5 Flash for high-frequency tasks and Gemini 2.5 Pro for complex reasoning, via Google Cloud's Vertex AI. The architecture is model-aware: each task is routed to the model with the best cost-precision ratio, keeping the cost per process at levels a manual operation cannot match.
Which industries is it designed for?04 +
Regulated, operationally intensive mid-market enterprises across Latin America: financial services, trust companies, audit, government, logistics and transport, insurance, manufacturing, retail, construction, and oil and gas. If the process depends on high volumes of data or documents with traceability requirements, it is a candidate for the platform.
How do you engage?05 +
With a no-cost discovery session where the process, volume, and expected return are evaluated. Initial deployment of an operational agent takes from 6 weeks. The intellectual property of configured workflows is documented and the internal team receives a full handover.
Your processes can run themselves.
No-cost discovery session. 45 minutes. We leave with a hypothesis of scope, volume, and return, or with the clarity that your process is not yet a candidate. Both answers are useful.