Healthcare · Clinics and healthcare centres
Process Automation with AI for Companies
At Possition, we improve your company's efficiency through intelligent process automation. We implement AI solutions that free your team from manual, repetitive tasks so they can focus on higher-value work. Our approach is to analyze your operation, identify key automation points, and build systems that integrate with your existing infrastructure.
What this service covers
What it means to automate a process
An automated process is a flow where information moves on its own: data is captured once, the system validates it, records it where it belongs, and alerts when something needs attention. People stop copying information between spreadsheets, emails, and systems, and move to supervising and deciding.
Which tasks can be automated
- Data entry that is still copied by hand between systems or spreadsheets.
- Reading and recording invoices, receipts, and documents.
- Follow-up on due dates, payments, and pending items with automatic alerts.
- Generation of periodic reports with consolidated information.
- Answers to frequent questions from customers or from the team itself.
- Reconciliations and cross-checks between sources of information.
- Notifications and reminders by email or WhatsApp.
Common problems it solves
- Information scattered across spreadsheets, emails, and systems that do not talk to each other.
- Manual entry errors that are discovered too late.
- Repetitive tasks that consume hours of the team's time every day.
- No traceability: nobody knows the status of each request.
- Dependence on a person who “remembers” to get things done.
Concrete examples
- An email with an invoice attached is processed on its own: the system reads it, extracts the data, records it, and files it.
- When a customer asks on WhatsApp, the system replies, logs the inquiry, and hands it off to a person if needed.
- Every Monday morning, a report with the week's sales and pending items arrives ready for leadership.
- Five days before each due date, the person responsible receives an alert with the details and a link to resolve it.
How Possition works
We don't start by installing tools: first we understand the process. We diagnose the current flow, identify what to automate and in what order, design the solution, and connect it to the systems you already use. Automation always includes human oversight where the process requires it.
What it can integrate with
- Management systems and ERP.
- CRM and sales tools.
- Email and WhatsApp.
- Existing spreadsheets and databases.
- Accounting systems and payment methods.
Benefits
- Fewer hours spent on repetitive tasks.
- Fewer data-entry and control errors.
- Consolidated information available when it is needed.
- Full traceability of each operation.
- A team focused on deciding, not on copying data.
Manual process, fixed-rule RPA, and AI-based automation: how they differ
Not every automation needs AI, and not every AI-based automation replaces a fixed-rule script. The question that decides which one fits is whether the process has exceptions or not.
| Criterion | Manual process | RPA / fixed rules | AI-based automation |
|---|---|---|---|
| Handles exceptions and unexpected cases | Depends on the person in charge | No: it breaks and has to be rebuilt | Yes, resolves with judgment or hands off |
| Tolerates minor changes to the process | Not applicable | No | Better than a rigid script |
| Response time | Depends on availability | Immediate | Immediate |
| Entry or transcription errors | Frequent | Rare if nothing changes | Rare, with validation |
| Typical implementation cost | None (but takes up team hours) | Low-medium | Medium |
| When it fits | Very low volume, doesn't justify investing | 100% stable, repetitive rules | Rules with exceptions or unstructured data |
Many automations combine both: fixed rules for the mechanical part, AI for what requires reading free text or deciding when to hand off to a person.
Real use cases
Industry · Semiconductor industry
Industrial vision for defect detection
29% less time per inspected unitAgriculture · Agricultural companies
Data analytics for agriculture: field decisions with same-day data
70% less time preparing campaign reportsEnergy · Energy sector (Chile)
AI applied to energy regulation: anticipated regulatory impact
70% less time on regulatory monitoringImplementation process
- 1
Diagnostic
We analyze your process and tell you what to automate, how, and what return to expect.
- 2
Implementation
We build the solution connected to your systems, with working deliveries and real tests.
- 3
Operation and improvement
We leave it running, train your team, and measure results.
The full detail, with deliverables per stage, is in how we work.
Guides to decide
Frequently asked questions
Do we have to change the systems we already use?
In general, no. Most automations are built by connecting existing systems. If a system does not allow integration, we assess that in the diagnosis and propose alternatives.
Which processes should we automate first?
Those that combine a high volume of repetitive tasks with clear rules: document entry, follow-ups, reports, and checks. In the diagnosis we prioritize by impact and effort.
Does automation replace people on the team?
No. It replaces mechanical tasks, not judgment. People move to supervising the process, handling exceptions, and spending their time on higher-value work.
How long does it take for an automation to be up and running?
It depends on the scope. Bounded flows can be operational in weeks; processes that involve several systems take more stages. The diagnosis includes a concrete estimate.
How is this different from traditional RPA?
Classic RPA follows fixed rules: it works as long as nothing changes. When the process has exceptions, free text, or needs something interpreted before deciding, we add AI on top of that same base so the system doesn't break on what wasn't anticipated.
Can I start with a single process and add more later?
Yes, that's the approach we recommend: automate one flow, measure the real result, and prioritize the next one by impact and effort — not the whole process map at once.
What happens if the process changes over time?
An AI-based automation tolerates minor changes better than a fixed-rule script. If the change is major — a new system gets added, the whole flow changes — it's worth revisiting the original design.
Want to know if your process can be automated?
Tell us how it works today and we will come back with a concrete analysis: what to automate, how, and in what order.