Sinpiloto
Enterprise AI agents

AI agents that start with what your business needs.

We identify where an agent can create real value for your company, define what it may do alone and what it must ask about, and measure its performance month after month.

Assessment, implementation and ongoing follow-up.

In short

Sinpiloto designs and implements artificial intelligence agents for companies in Colombia. Every project starts with an assessment that measures the current process (frequency, time and cost of errors) and decides whether a real opportunity exists before anything is built. Each agent goes live with explicit limits: what it may do alone, what it must check with a person and what it may never touch. Results are reviewed every month against the agreed target.

The problem

Automating does not always mean improving.

Many initiatives start with the tool before understanding the process. The result can be an agent that is expensive, hard to control and impossible to judge as a success.

5 recurring failures
  1. 01

    Starting with the tool instead of the business.

    Consequence A solution gets bought before the problem is understood.
  2. 02

    Automating a process that is not yet clear.

    Consequence The mess gets automated and multiplied.
  3. 03

    Using AI where plain rules would be enough.

    Consequence More cost and less control than needed.
  4. 04

    Promising results without measuring the starting point.

    Consequence No one can say whether the process improved.
  5. 05

    Delivering a solution with no follow-up.

    Consequence The process degrades and nobody notices in time.

The two decisions that come first

Before building an agent, Sinpiloto settles two things: which process is worth automating and which number the result will be measured against.

A What is worth handing to an agent

Frequency, time, cost and risk of the process.

B Which number it is measured against

A baseline recorded before we touch anything.

What we deliver

An agent is more than a model. We deliver the full cycle.

Sinpiloto does not hand over a model wired to a chat window. It delivers four linked pieces: an assessment that measures before anything is built, the implementation on top of the systems the company already uses, the limits the agent operates under, and a monthly review against the agreed target.

The cycle does not end at delivery: it returns to the assessment with real operating data.

01
Before automating

Assessment

We identify where a real business opportunity exists.

In practice
  • A map of the process as it works today
  • Frequency, time and cost per task
  • Opportunity sized with your own data
02
Build

Implementation

We build the agent around your process and your company's information.

In practice
  • Connected to the systems you already use
  • Rules and AI over your own information
  • Tested with real cases before going live
03
Límites de operación

Control

We define limits, permissions, owners and escalation paths.

In practice
  • What it may run without intervention
  • What it must check with a person
  • Who it notifies when it cannot continue
04
Every month, once live

Continuous improvement

We review performance every month against the agreed target.

In practice
  • Monthly results against the target
  • Exceptions, failures and escalations
  • Adjustments and new opportunities
Agent autonomy

The agent knows how far it can go.

Every agent goes live with three lists written beforehand: what it may run without intervention, what it must check with a person and what it may never touch. Permissions are an explicit decision, not a side effect of how it ended up configured.

Acts alone No intervention

Authorised actions it can carry out without intervention.

  • Look up authorised information.
    Example Status of order #88421 in the ERP.
  • Classify a request.
    Example Warranty claim → after-sales team.
  • Update a status.
    Example Invoice FV-3140 marked as reconciled.
  • Draft a response.
    Example Email draft with the rescheduled appointment.
Asks first Needs approval

Decisions that require approval from a person.

  • Approve an exception.
    Example A return past the warranty period.
  • Send sensitive information.
    Example Employment letter with payroll data.
  • Change a commercial condition.
    Example A 12% discount off the price list.
  • Run a high-impact action.
    Example Purchase order above the set limit.
Never touches Out of scope

Information, decisions and actions that are explicitly restricted.

  • Data without authorisation.
    Example Another patient's medical record.
  • Critical decisions reserved for people.
    Example Ending a contract or letting someone go.
  • Systems outside the scope.
    Example Payroll module and bank payments.
  • Irreversible actions.
    Example Deleting records or voiding a transaction.
The three levels of autonomy
Level What it means Example
Acts alone Authorised actions it can carry out without intervention. Status of order #88421 in the ERP.
Asks first Decisions that require approval from a person. A return past the warranty period.
Never touches Information, decisions and actions that are explicitly restricted. Another patient's medical record.

When it cannot continue, it knows who to notify.

Methodology

From today's process to an agent you can measure.

The project runs from the process as it works today to an agent with a number that judges it. Seven steps across three phases: assessment, implementation and operation. Each step leaves a deliverable, and none starts before the previous one is done.

Assessment Implementation Operation
  1. 01

    We understand the business

    We identify the tasks and decisions that repeat.

    Deliverable Map of the current process
  2. 02

    We size the opportunity

    We measure frequency, time, cost and the consequences of errors.

    Deliverable Quantified opportunity
  3. 03

    We organise the information

    We prepare the data and documents the agent needs to work.

    Deliverable Sources ready to run
  4. 04

    We design the agent

    We separate what a rule can solve from what genuinely needs an agent.

    Deliverable Rules and AI design
  5. 05

    We measure the starting point

    We record how the process performs before we touch it.

    Deliverable Baseline recorded
  6. 06

    We implement with clear limits

    We define what it may do alone, what it must ask about and what it may never touch.

    Deliverable Solution live
  7. 07

    We improve every month

    We review results, exceptions, failures and new opportunities.

    Deliverable Monthly review
What we assess

Where can an agent operate?

Every company is different. The assessment determines which processes are actually worth automating.

This list is a starting point for the assessment, not a claim that all of these processes can be automated in your company. Hover each process to see examples.

Sectors where we usually find opportunity

The pattern is not the industry, it's the volume: repetitive processes, with rules, and with information spread across systems.

We do not treat every sector the same: the assessment determines whether a concrete opportunity exists in your case.

Measuring value

Before deploying an agent, we check whether it is worth it.

We analyse the process with real business information. That is how we define whether an opportunity exists, how it will be measured and what result would justify the investment.

Frequency

How many times does it happen per month?

Time

How many hours does it consume?

Cost of errors

What happens, and what does it cost, when it goes wrong?

Automation potential

What can rules solve and what needs an agent?

Assessment card

Adjust the fields with approximate data from your process.

Preliminary estimate
Hours per month 80 h
Operating cost per month $ 2,800,000
Cases with errors per month 32

Preliminary estimate based on the values you entered. It is not a savings projection or a guaranteed result: the assessment verifies these figures with real process data.

Who it is for

Good automation also means knowing when to say no.

Saying no in time avoids an expensive agent nobody maintains. These are the conditions that make a project work.

Sinpiloto is for companies that…

Good starting point
  1. 01

    Have repetitive processes with enough volume.

    Something repeats often enough to be worth measuring.

  2. 02

    Want to justify the investment with numbers.

    The decision is made on data, not enthusiasm.

  3. 03

    Are willing to organise their information.

    The data and documents can be prepared.

  4. 04

    Want an operational, maintainable solution.

    The goal is to run it, not to show a prototype.

  5. 05

    Can assign internal owners.

    Someone inside receives the escalated cases.

It is probably not for companies that…

Better to wait
  1. 01

    Want to adopt AI without defining a problem.

    With no problem there is no way to measure the result.

  2. 02

    Expect to automate everything from day one.

    Broad scope is what usually makes these projects fail.

  3. 03

    Are looking for a demo with no continuity.

    A pilot with no operation leaves no value behind.

  4. 04

    Do not want to measure the current process.

    Without a baseline, any improvement is an opinion.

  5. 05

    Expect guaranteed results without internal involvement.

    No one can guarantee a result on a process they don't run.

If your case sits in the second column, we tell you so in the assessment.

Follow-up

We don't deliver and disappear.

An agent left unattended quietly deteriorates. Sinpiloto reviews every month what it resolved alone, what it had to escalate, what failed, what improved and how it stands against the agreed target.

How the process behaves over time Illustrative
Resolved on its own Escalated to a person
Monthly agent review
Review cycle · monthly
Illustrative
  • What it resolved on its own
    Cases closed without intervention.
    Within its limits
  • What it had to escalate
    Decisions handed to a person.
    With an assigned owner
  • What failed
    Errors with their cause documented.
    Logged and reviewed
  • What improved
    Changes made after the last review.
    Adjustment applied
  • How it compares with the agreed target
    Result against the agreed number.
    Compared month to month

These states are demonstration labels. Each board is defined with the targets agreed with your company.

Frequently asked questions

What companies ask most before requesting an assessment.

What is an AI agent for a business?
An AI agent is a system that takes on a complete business process: it receives an input, checks it against the company rules and either resolves it or escalates to a person. Unlike an assistant that only answers questions, the agent acts within limits defined in advance: what it may do alone, what it must check and what it may never touch.
How is an AI agent different from rule-based automation?
Rule-based automation runs fixed steps and stalls the moment a case nobody anticipated shows up. An agent interprets inputs that vary in shape (an email, a document, a message) and decides the route. That is why not everything needs an agent: using AI where plain rules would do adds cost and removes control. Sinpiloto separates the two at design time.
What happens if the agent gets it wrong?
The agent only runs authorised actions, and high-impact decisions are outside its scope: they go to a person with the context already assembled. When it cannot continue, it knows who to notify. Failures are logged with their cause and reviewed in the monthly meeting, along with the adjustments made since the previous review.
What information does my company need to get started?
For the assessment you need the process you want to evaluate and rough figures: how many times it happens per month, how much time it consumes and what happens when it goes wrong. The assessment verifies those numbers against real data. Preparing the data and documents the agent needs is part of the project, not a prerequisite.
Can it integrate with the system we already use?
Yes. The agent is built around the process and the information the company already has, connected to the systems in use, and tested with real cases before going live. What gets connected, and how, is settled in the assessment, which determines which sources are needed and what state they are in.
Which processes are not worth automating with AI?
The ones a few rules already solve: there, AI adds cost and removes control. Nor is it worth automating a process that is not yet clear, because the mess gets multiplied, or one without enough volume to make measuring it worthwhile. If your case is one of these, we say so in the assessment.
How do you measure whether the agent is working?
Before anything is touched, we record how the process performs today: that is the baseline. Every month the result is compared against the agreed target and five things are reviewed: what it resolved alone, what it had to escalate, what failed, what improved and how it stands against the target.

Find where an AI agent actually creates value for your company.

Let's start by identifying one process, sizing its opportunity and deciding whether automating it is really worth it.

No commitments and no empty promises. First we understand the process.

Step 1 of 1 · takes 2 minutes

Request an assessment

Tell us about the process and we'll reply with the next steps.

1 About you
2 About the process

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