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FenixIAm by AIworks 2028 FenixIAm

Fenix · the AI agent platform

Deploy AI agents in any business. All of them accountable.

Serve your customers, win appointments, prepare documents and train your team with agents that carry your brand and work with the best models. Then check what they achieved and what it cost.

Turn the page Scene created with AI from our mascot, the paper phoenix.

Listen and score

One minute of practice, scored as it is spoken.

A sales rep practises a medical visit with a doctor simulated by AI. While they talk, Fenix scores the five criteria of a sample sales methodology. Every score links to the sentence that justifies it, and every product claim is checked against the product’s technical sheet.

00:00 / 00:00

    AI-generated simulation, audio in Spanish: the voices, product, doctor and sales rep are fictitious.

    Session report

    5 criteria from 0 to 20 · methodology configured per company

    0 out of 100
      Accuracy: «cuesta lo mismo que su pauta actual» cannot be verified in the technical sheet. The report flags it to be corrected in the next practice.

      One book, any business

      Every page is a business running on Fenix.

      Each with its own brand, its own methodology and its own isolated data. Inside, the same engine. Every page says where it stands: in use, in a pilot or in demo.

      Train p. 12 · Training consultancy In use by clients

      Your team practises by voice. Fenix scores every sentence.

      Medical reps, salespeople and service agents rehearse with simulated customers who talk like real people. When they hang up they get a report built on their company’s own methodology: a score per criterion, the sentence that justifies it and what to improve next time.

      • Configurable criteria
      • Real-time voice
      • Report on hang-up
      • Per-person consent
      Listen to a scored session

      Session report · medical visit

      First contact 17

      Finding the pain 12

      Presenting benefits 15

      Total 74 / 100

      Illustrative example of a real report.

      Serve p. 24 · Hotel Demo

      Night reception in 16 languages. The request, already written.

      A guest calls at three in the morning and an AI receptionist answers in their language, saying from the start that it is an AI. In the morning the request is written up and ready for the team.

      • 16 languages
      • 24 hours
      • Structured request

      03:12 call · German

      Guest
      Bungalow 4
      Asks for
      Late check-out at 14:00
      Status
      Awaiting confirmation

      Manage p. 52 · Town council Pilot

      From case file to export package, without skipping a requirement.

      Fenix supports every public procurement file: it extracts data from the sources, calculates, drafts the documents and blocks progress if something is missing. The AI prepares; the person decides.

      • Blocks that stop progress
      • Word and Excel documents
      • Each council’s name and coat of arms

      Sports maintenance case file · milestone 7 of 10

      The report on insufficient in-house resources is missing. You cannot move on without it.

      Manage p. 61 · Farm Demo

      From the field log to a sealed monthly close.

      Estates, seasons, operations and costs in one place. Each month’s close warns in time, is reviewed and gets sealed with its report.

      • Traffic-light close
      • 17-section report
      • Excel export

      September close

      Under review · 5 days left August closed and sealed 2 logs without an assigned cost

      Why a platform

      Your agents in one place. Your company gains three things.

      Each agent solves a specific task. Running them all on the same engine is what turns AI into something the company controls, makes the most of and governs.

      Spend under control

      You know what every agent and every conversation costs, with a monthly cap per agent that stops the spend. All models in one usage panel.

      A collective brain

      The documents, instructions and tools one team prepares are available to the whole organisation. What the company knows stops depending on a few people and becomes an asset.

      Company AI, governed

      Who uses each agent, with which model and with which data. Access per person, data isolated per company and model changes without rebuilding the agent.

      What each manager sees

      • Management and Finance

        Know and control the spend.

        Cost per agent and per team, a monthly cap and measured results to decide with data whether to continue or expand.

      • Technology

        Manage access, providers and integrations.

        Seven AI providers in one panel, permissions per person, isolated data and encrypted keys.

      • Department heads

        Get tasks done and improve results.

        Agents that serve customers, prepare documents or train the team, with reports that say what went well and what to improve.

      The platform

      Every agent is accountable.

      Fenix does not ask for blind trust. Everything an agent does is visible to whoever needs to see it, and to nobody else.

      Seven AI providers and around eighty voices in one panel: switch models without touching the agent.

      Truly multi-company: every client with isolated data, its own brand and its own agents.

      Tailor-made: if your process is unique, we build the agent on the same engine.

      1. What was said

        The full transcript, attributed turn by turn.

      2. What was achieved

        A score per criterion with the sentence that justifies it. Your company defines the criteria.

      3. Whether it was true

        Every technical claim checked against your documentation: correct, incorrect or unverifiable.

      4. What it cost

        The cost of every message, measured one by one, and a monthly cap per agent that stops the spend. €0.0031 · 1,240 tokens

      5. Who sees it

        Each person decides whether to share their results. Small groups are never shown and personal rehearsals are private.

      Scale p. 80

      A new business is a new page.

      Very different businesses already run on the same engine, each with its own brand, data and agents. Adding the next one means configuring it, not building it from scratch.

      35 organisations on the platform

      10,880 AI sessions handled

      1,061 sessions scored with a report

      7 direct AI providers

      Production data as of 26 September 2026.

      How we work

      We start small. We measure. We scale.

      A focused pilot

      One real case, one team and criteria agreed with you. No heavy integrations to get started.

      Measured from day one

      Per-criterion reports, cost per message and usage per person. You decide with data whether to continue.

      Scale on the same engine

      More teams, more businesses and your brand, without rebuilding anything. If your process is unique, we build the agent for you.

      We do not publish a price list: every proposal is built around your case. You pay for what you use, measured message by message.

      Tell us which conversation or process you want to measure.

      In a thirty-minute demo we show you Fenix with a case similar to yours and what it would cost to launch.