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The why comes first. Then, the technology.
AI that works with people's money, health and data must be accountable.
Just like the people it helps. Most AI companies talk from the outside in: «we have agents that speak well». We start with the belief, because it is the only thing that can't be copied in weeks.
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The belief
Being accountable
In organizations that are held accountable, an AI that guesses has no place. All the hows come from that conviction.
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The second layer
Dignity
We believe technology is measured by how it treats people. That is why we take away tasks, not people.
Our principles → -
What it is not
Neither compliance nor savings
«Complying with regulation» is a how and «gaining efficiency» is a result. The why is a conviction.
Six hows, each with its proof.
In this order. The first two open every conversation: it does not make things up, and it is built for those who are held accountable.
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How 1
It does not make things up
The model, whether an LLM or an SLM, writes; your business rules decide. A price, a balance or a policy's coverage comes only from approved sources, in the order you define in Abbi Studio. If there is no backing, it doesn't make it up: it escalates. Proof: the record of the source of each answer (planned design).
Why Abbie does not make things up → -
How 2
Built for those who are held accountable
From the ground up, following ISO/IEC 42001, the EU AI Act as a reference, the NIST AI Risk Management Framework, PCI DSS, HIPAA and each country's data protection law. Proof: an ISO/IEC 42001 evidence folder for due diligence (planned design).
Regulation and compliance → -
How 3
Not a system; it works with yours
The AIE agent checks and records in your systems; it doesn't replace them. If the system or the process is missing, we solve it: with a world-class application, or with a microapp or a microprocess we develop so the AIE agent doesn't have to make things up. Proof: integration with connected systems and Abbi Actions with a contract sheet.
Services → -
How 4
Bounded, traceable mandate
Abbi Actions are the permitted actions. Several «Actions» combined form an Abbi Task, and several «Tasks» chained together form an Abbi Flow: the complete process that delivers the outcome. Everything is defined, nothing is inferred: you configure it and the AIE agent follows it. Proof: the «Actions» and «Tasks» consoles of Abbi Studio and the audit log.
Security → -
How 5
Your data, where your case requires
Four sovereignty levels. If the case requires it, up to 100% on your premises, with full isolation per client. Proof: a dedicated «tenant» in production and an on-premises architecture (planned design).
Data sovereignty → -
How 6
We take away tasks, not people
We respect human dignity. Abbie takes the repetitive work; Caddie guides and empowers the human agent, who decides: he does not replace them. If Abbie can't resolve the case, she follows the route you configured (a human agent or a rerouting process). Proof: a transition program offered with every implementation.
Our principles →
When a proof is still being prepared, we say so: it is marked as «planned design».
What we sell, always through partners.
The partner designs, implements and operates with its client; Abbiamo.ai contributes the AIE agents, the «Actions», the method and the technical backing. What supports it is not sold separately: AbbiAI, the engine, and Abbi Studio, its seven consoles.
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Product
Abbie
An AIE agent that serves your customers and executes actions within her mandate.
Meet Abbie → -
Product
Caddie
An AIE agent that guides the human agent, verifies and prepares; the human agent decides and executes.
Meet Caddie → -
Product
Abbi Actions
A catalog of operations with verifiable outcomes.
Explore the actions → -
Service
Process consulting
Need, flows and indicators; recommends the missing application.
Let's design the process → -
Service
Custom microapps and microprocesses
When your tools fall short; it ends up as an Abbi Action.
Let's talk about your process → -
Service
Implementation
Including world-class third-party applications when the diagnosis calls for it.
Let's plan the implementation →
A first complete flow, before scaling.
It is better proof than a convincing conversation: it lets you check whether what was said matches what was saved. Autonomy is the lever: suggests, executes with confirmation or executes on its own, action by action.
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Step 1
Process diagnosis
Which systems exist, which data are authorized sources and where the AIE agent decides.
Process consulting → -
Step 2
Caddie prepares, the human agent authorizes
For example, «record promise to pay»: it is saved in the system and the Evaluation console measures the outcome.
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Step 3
Abbie executes with confirmation
The same action, now executed by Abbie after a confirmation.
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Step 4
More autonomy, if the data justify it
Autonomy grows action by action, never beyond what the level above allows.
The strategy, in practice.
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Security
Bounded, traceable mandate
«Actions» with limits no one expands, conversation locks, data isolated per client and change control.
See security → -
Regulation and compliance
Built for those who are held accountable
The standards we follow from the design stage, those of each industry and the decisions that always belong to your institution.
See the standards → -
Data sovereignty
Your data, where your case requires
Four deployment levels, from the cloud to your premises, and five questions to choose.
See the levels →
Let's start with the why of your operations.
Your request goes to the partner assigned to your company.
Let's talk about your operations →or write to us at hola@abbiamo.ai