Method
How we work
A short, verifiable path: starting from a real task and arriving at a digital collaborator integrated into your processes.
The shift in perspective
From a tool you use to work that gets done.
The difference between an AI assistant and a digital collaborator isn't the technology: it's who carries the weight of the work.
AI assistant
- Someone has to open it and explain the context
- The result depends on how the request was worded
- No memory of the business process
- The work still sits with the person
- No record of what was actually done
Digital collaborator
- Receives tasks, not prompts
- Knows the company's process, rules and documents
- Works autonomously on repetitive steps
- Asks for confirmation when a decision is sensitive
- Leaves a verifiable record of every action
People stay at the centre: they decide, approve and manage exceptions.
How it works, in four steps.
No organizational revolution: a task is assigned, the digital collaborator carries it out, the company checks the result.
- 01
You assign a task
Describe a recurring job: sorting incoming requests, extracting data from orders, drafting a reply.
- 02
The collaborator understands the context
It only accesses authorized sources — email, documents, company knowledge and integrated systems — and applies the rules of your process.
- 03
It does the work
Reads, classifies, extracts, compares, fills in and produces a result that's ready to use, not a generic piece of text.
- 04
You check and approve
Critical steps go through a person. Everything else is executed and logged, with a history you can always review.
Every step is configurable: you can start with approval on everything and relax it as trust grows.
We start from a process, not from a platform.
Start with a single task, measure the result, then extend.
- 01
Understand
We analyse a repetitive task, who does it today, and how long it takes.
- 02
Assess
We define what can be delegated, what needs approval, and how the result is measured.
- 03
Prototype
We put a digital collaborator to work on real data and real cases.
- 04
Integrate
We connect the workflow to your company's tools and switch on control and traceability.
We're looking for companies with a real process to improve.
We don't want to start from a demo built in a vacuum. We want to start from a task that currently takes up time for the people in your company.
- Managing a shared inbox
- Analysing documents
- Repetitive administrative tasks
- Researching and gathering information
- Managing internal knowledge
- Preparing documents
- Coordinating tasks across different roles
You know what the AI is using. And what it costs.
Every AI call can be attributed to the task that triggered it. Genesis makes it possible to see which models are used, what they cost and where local execution can reduce reliance on the cloud.
- Cost per task
- Measures the cost of running a process with AI.
- Local vs. cloud
- Shows where the work is being executed.
- Cost per agent
- Understand the usage associated with each digital collaborator.
- Human intervention
- Identify which workflows still require approval.
- Providers and models
- See which models are actually carrying out the tasks.
- Cloud cost avoided
- Assess the impact of local-first strategies, where applicable.
These are the metrics Genesis can measure in your own installation: the values depend on your processes.
What's the first task you'd delegate?
Tell us how you work today. Together we'll assess whether there's a digital collaborator that would deliver a real, measurable and sustainable benefit.