Dx1 · Assessment
We map the context, identify prioritized use cases, and come away with an honest recommendation.
2-4 weeksRPA + AI automation
OCR + AI to process invoices, contracts, and reconciliations without human intervention.
What you get
Results and applications for your operations.
If your administrative team spends hours each week entering invoices into an ERP, reconciling bank accounts, classifying emails, or generating recurring reports, something is wrong—that’s machine work. RPA + AI automation eliminates between 70-95% of that time: the bot reads the documents, validates the data, enters it into your system, and reports exceptions. Teams move from operating to supervising. Typical ROI: 4-8 months to payback at Mexican mid-market companies with medium document volumes (200+ invoices/month).
What exactly it is
Technical definition and service scope.
Robotic process automation with artificial intelligence (also known as hyperautomation or intelligent automation) combines robotic process automation software with AI capabilities: OCR to read scanned documents, NLP to understand unstructured text, and machine learning to classify and validate data. In Mexico, the most widely used platforms are UiPath, Microsoft Power Automate, Make, and n8n. The most widely adopted use cases include CFDI processing, bank reconciliation, accounts payable management, employee onboarding, and automatic financial report generation.
Includes
- ✓OCR + data extraction from invoices and CFDI
- ✓Automated bank reconciliation
- ✓Classification and archiving of accounting documents
- ✓Workflows between systems without native APIs
- ✓Automated financial report generation
How ai¹ implements it01 02 03
Dx1 + More2 + Rt3 → sustainable advantage.
At ai¹, we design automation pipelines using OCR from Azure Form Recognizer, AWS Textract, or Google Document AI, depending on the document type; RPA with UiPath, Power Automate, or n8n, depending on the client’s technical context; and an AI layer with LLMs for unstructured extraction (contracts, emails, handwriting). Implementation by phase: discovery (1-2 weeks mapping processes and volumes), MVP (2-3 weeks automating the highest-ROI use case), and progressive scaling. Key metrics: STP rate (straight-through processing), exception rate, and time saved per process.
Im2 · Implementation
We build the first end-to-end use case. Open stack, your code, clear success metrics.
4-12 weeksRt3 · Retainer
Ongoing support: new cases, monitoring, adjustments, and capability transfer.
from month 3We start with the assessment
Automate my process
30 minutes. No cost. You’ll leave with an honest recommendation — whether you work with us or not.
Frequently asked questions
What we’re asked most often.
What is AI-powered RPA, and how does it differ from traditional RPA?
AI-powered RPA combines repetitive process automation (UiPath, Power Automate, Make) with language models that understand unstructured documents— invoices, contracts, emails, forms — without the need for fixed templates. Traditional RPA can only automate tasks with perfectly structured data; adding AI makes it possible to process the 80% of administrative work that currently falls outside the scope of pure RPA: reading PDFs with OCR + comprehension, extracting variable fields, and classifying exceptions.
Which administrative processes are the best candidates for automation with RPA + AI?
High-volume, low-variability repetitive processes deliver the most value: processing invoices and credit notes (reading, validating, entering them into an ERP), bank reconciliations, customer onboarding with KYC, capturing orders from email or PDF, contract validation, and employee onboarding/offboarding. At Mexican SMBs, automating just one process well can free up 80-160 hours/month for an administrative team.
How much does AI-powered RPA implementation cost, and when does it pay off?
A typical project costs $15-60K MXN, depending on complexity and required integrations, plus a monthly fee for monitoring and adjustments ($5-15K MXN). The payback period is usually 3-6 months when the process frees up at least 60 hours/month of human time. Billing or bank reconciliation processes at mid-market scale report ROI above 300% in the first year.
Do I need UiPath, Power Automate, or a custom agent to automate my processes?
UiPath is suited to large companies with legacy processes and many Windows systems; it has a steep learning curve and expensive licenses ($5K+ USD/year per bot). Power Automate works well if you’re already in the Microsoft 365 ecosystem and your processes are simple. For SMBs and processes that combine modern SaaS tools, a custom agent on n8n + Claude or LangGraph often costs less and offers more flexibility. At ai¹, we choose the tool after the assessment, not before.