What is Nara Intelligences
A workforce you hire, not a tool you configure.
Nara Intelligences builds digital employees: AI agents designed, audited and deployed for one specific job inside your company. You don't get a platform to learn. You get someone who does the work.
Who we are
We are an engineering company building on top of general artificial intelligence models rather than reselling them. Every agent we deliver is designed around a real process in a real company: we audit how the work is done today, define where an agent can own it end to end, and stay involved while it takes over.
We use what we build. The requests that reach Nara Intelligences, and the founder's own assistant on WhatsApp, run on agents we built ourselves, so we know what an agent costs to run and where it stops being the right answer.
Where we've done it
The pattern repeats across very different companies: one process that eats hours, no clear owner, and nobody with time to fix it. That is the shape of a job for an agent.
- Software and product teams
- Professional services
- E-commerce and retail
- Logistics and operations
- Finance and administration
- Agencies and consultancies
The agents we build
Each agent owns one task, from the moment it arrives until it is finished. You set the rules, and anything unclear comes back to a person.
- Sales AgentFinds the right prospects and keeps every conversation moving.
- Reviews AgentAnswers every Google review in your tone, and flags the unhappy ones.
- Bookings AgentTakes bookings on WhatsApp and confirms only what is really free.
- Catalogue AgentTurns every supplier's spreadsheet into the exact file your system imports.
- Trends AgentWatches your market and sends your team one clear weekly report.
Why it works this way
One task, start to finish
An agent is accountable for the result, not just for one step. Problems come back to one place instead of disappearing between tools.
Specialists stay narrow
An agent that does one job well beats a general assistant that does ten jobs adequately — and a narrow scope is something you can actually audit.
It scales without rehiring
Adding capacity means adding an agent for the next task, not opening a role and waiting three months to fill it.
Availability is not a variable
The review is answered at 3am, the booking is confirmed on a holiday, the supplier file is ready the same morning. Nothing waits for Monday.
What our agents don't do
An agent is the wrong answer for some work. These are the lines we hold in every agent we build.
- Decide anything with medical, legal or money consequences on their own. They prepare the work; a person decides.
- Change something important without your approval.
- Promise a price, a date or a discount without your approval.
- Pretend to be a person. Whoever talks to one of our agents can know it is an agent.
- Confirm a booking or an order without checking real availability first.
- Put a customer's private details in a public reply.
- Message people who have not agreed to hear from you, or send beyond the limits that protect your name.
- Use an account or a tool you have not authorised.
- Take on a task that comes back too rarely to be worth it. If that is the case, we tell you.
The numbers behind this
We'd rather show you the public evidence than our own marketing. Every figure below links to the organisation that published it — including the ones that say this market is still early.
88%
of organizations report having adopted AI, as tracked by the AI Index's organizational adoption measure (2026).
Stanford HAI, AI Index 202621.1%
of Spanish companies with 10 or more employees used AI in early 2025 — above the 20.0% EU average reported by Eurostat for the same year.
INE (Spain), October 202561%
of CEOs surveyed say they are adopting AI agents today and preparing to deploy them at scale (2,000 CEOs across 33 countries).
IBM Institute for Business Value, May 202510%
of organizations report significant, measurable ROI from agentic AI so far. Deployment quality is still what separates results from pilots — which is exactly the part we do.
Deloitte Global, October 2025AI use by Spanish companies, by sector
Companies with 10 or more employees, first quarter of 2025.
Measured productivity gain from an AI assistant at work
Issues resolved per hour by 5,179 customer-support agents, staggered rollout field study.
Source: Brynjolfsson, Li & Raymond, NBER Working Paper 31161
Where would yours start?
Tell us the process that eats the most hours in your week. We come back with the agent that would own it, and what it would take to deploy.
Tell us a task