AI agents for business

No showcase agents: we pick the measured, repetitive, high-volume process where an agent returns saved hours and errors from month one — and we fix the baseline so the return can be proven.

What it may do alone, what requires human approval, which data it can reach, what it must never touch. Permissions are designed with governance from the start, not after the incident.

The agent queries real catalogs, CRMs, calendars or inventory — with minimal access — so its answers are anchored to data, not invented. Orchestrated with n8n, Power Automate or the tool your team already runs.

Traces of every decision, error-rate and cost-per-task metrics, and an improvement cycle. The agent enters production under the same fail-closed rules we run our own SaaS with.

A chatbot talks; an agent works: it classifies, drafts, queries systems, decides with context and executes actions within defined limits. The operational difference is threefold: permissions (what it may do alone), traces (what it did and why) and human approval on the irreversible. Without those three pieces it is not a business agent: it is a demo.

You start from the process, not the model: a measured, repetitive, high-volume case. Limits are defined before capabilities — what it may do alone and what requires approval — then the tools it needs are connected with minimal access, and it is instrumented from day one: what it did, with which data and with what result. A free Diagnostic defines the concrete case for your operation.

Four minimum: explicit permissions for actions and data; human approval for the irreversible (payments, shipments, deletions, sensitive external communication); observability of decisions in queryable traces; and cost limits per task so one loop cannot eat the budget. The full framework is the agent-governance layer inside our AI governance service.

The ones you already have: n8n and Power Platform for orchestration, and tool-using models for judgment. We keep our own agents operating in Mexico — restaurant order-taking, store sales and support with a real catalog, lead qualification — published as open references, plus the WhatsApp assistant inside our own SaaS, Ancuria.

It depends on the process and the systems it touches: an agent that queries a catalog does not cost the same as one that fires payments. That is why the entry point is a free Diagnostic over WhatsApp: we define the case, its limits and its baseline, and an exact number comes out of that — not a brochure range.