AI-generated image: Two colleagues pin blank cards into a sequence on a tall cork wall, city towers through the tall windows behind them.

The operating design isn't.

The models are a commodity. The value is in deciding which work AI agents take, what they may touch, and where a person always decides.

AI-generated image

One AI platform, with AI agents that each do a defined piece of work in your business. We build it, implement it in your daily operations, and run it with you.

Five kinds of system, one AI platform.

An AI agent is AI that does a piece of work for you, with the access it needs and rules to follow. Here is where agents can work in your business, and what stays with your people.

  1. 01

    Projects, budgets and buying.

    Instead of spreadsheets and email, one shared system. An AI agent drafts follow-ups and questions to suppliers for a person to send. Your people still approve spend, prices, dates and anything sent outside the business.

  2. 02

    AI assistants your team can ask.

    Instead of searching folders and asking colleagues, ask in plain words. The assistant works on the platform's data and is built to see only what your role allows. The decisions it informs stay yours.

  3. 03

    Step-by-step approvals.

    Instead of doing and chasing every step by hand, you set which steps run on their own and which wait for a person. As each step proves itself, you decide whether to let it do more.

  4. 04

    Knowledge and shared inbox.

    Instead of knowledge in people's heads and personal inboxes, documents and conversations sit in one place your team can search. Your people judge what's true and what matters.

  5. 05

    Client and supplier portals.

    Instead of chasing updates and quotes by email, clients follow their projects and suppliers answer requests in one place. Each side is shown only what's meant for them. The relationship stays yours.

Connected to what you already use.

We link the platform to systems you already rely on, such as accounting and email, so you keep what works.

What the platform does.

These are working parts we have built and run, on our own platform and on platforms we build for clients. Each one does real work, and each one keeps a person in charge of what matters.

  1. 01

    Built around your business, not borrowed.

    What it does
    Each client platform is built to order, around the way your business works and the people who use it, at a desk or on a phone.
    What it's worth to you
    Your people work in one place made for them, instead of a generic tool bent to fit.
    What stays human
    Your people decide what the platform is for. We build it, implement it and run it with you.
  2. 02

    Workflows that AI agents run.

    What it does
    Repeatable work runs as a workflow: AI agents take the steps, in order, under the rules you set.
    What it's worth to you
    Routine work moves without being chased, and your people spend their time where judgement is needed.
    What stays human
    A workflow goes live, starts a run or changes who oversees it only with a person's yes.
  3. 03

    One inbox for everything waiting on your yes.

    What it does
    When an AI agent needs a decision and nobody is there to give it, the exact action waits in the owner's approval inbox. Approve it and it runs once. Reject it and it is dropped.
    What it's worth to you
    Agents keep working while you are away, and nothing that needs you happens without you.
    What stays human
    An agent can never approve its own action. Only a person's yes counts.
  4. 04

    AI agents that pass each question to the right agent.

    What it does
    In a shared room, a chairing AI agent passes each question to the specialist agent best placed to answer it. Agents that don't need each other's answers work at the same time.
    What it's worth to you
    You get specialist answers in one place, without chasing each one.
    What stays human
    The room records a decision only with a person's yes, and the tasks it agrees stay proposals until someone accepts them.
  5. 05

    Dashboards you change by asking.

    What it does
    Ask in plain words for the view you need, and an AI agent puts the charts on your dashboard. Ask again to change a chart's type, range or source.
    What it's worth to you
    You see the business the way you think about it, without waiting for someone to build a report. Clear signal, not noise.
    What stays human
    A figure typed in by hand is shown as typed in, and it goes on only with a person's yes.
  6. 06

    Calls where your team and AI agents meet.

    What it does
    Video calls inside the platform. Guests join from their own link, with no account. There is video, chat and screen share, and every tile carries a name card: name, role and company. An AI agent chairs the call with a timed agenda and answers when it is named, and the host can bring in other agents.
    What it's worth to you
    The meeting, its agenda and its decisions stay in one place, not in another app.
    What stays human
    The host runs the call and can end it for everyone. An agent records a decision only when the host says yes.
  7. 07

    What was said on a call, kept where agents can find it.

    What it does
    When the host records a call, the recording becomes a transcript in the platform's knowledge base, with no write-up.
    What it's worth to you
    What was agreed on a call is kept, not lost in someone's notes, and AI agents can work from it.
    What stays human
    Recording is off until the host turns it on.
  8. 08

    Documents drawn from your own records and templates.

    What it does
    The platform turns your own records into finished documents, such as a project budget workbook, using templates your team keeps in one catalogue.
    What it's worth to you
    Documents match your records and your house format, with no retyping.
    What stays human
    Your administrators decide which templates are in the catalogue.
  9. 09

    See who uses AI, and what it costs.

    What it does
    See AI use and its cost by person and by team, with trends over time. A request past its spending limit is refused, and the refusal is listed for review.
    What it's worth to you
    AI spend stays in view and inside its limits, person by person.
    What stays human
    An administrator reviews each refused request and marks it reviewed.

What changes when it's all in one place.

  1. Everyone works from the same place.

    Your team, suppliers and clients, so handoffs stop breaking.

  2. AI agents for routine work.

    Drafting, chasing and reporting, so your people can spend more time on work that needs a person.

  3. Knowledge that stays current.

    Not locked in one person's head or a stale spreadsheet.

  4. Software spend that doesn't have to grow with every seat.

    More of your work in one AI platform, instead of a licence per tool, per user.

  5. Clear signal, not noise.

    Leaders decide from the same, current information.

Stop renting your operations by the seat.

Many growing businesses pay monthly for every user, across tools that don't talk to each other.

We are what we sell.

We run Futuvara on our own AI platform. Every face below is one of our AI agents.

Scroll the rows sideways to see every agent.

  • AI agent

    Kat

    Chief Operating Officer: coordinates the business units

    Reads each business unit's reports against the company's goals, finds where one unit is waiting on another, and sends each fix to its owner.

  • AI agent

    Tom

    Chief Growth Officer: brand, marketing and sales

    Runs Growth as one system, from brand to signed customer, against approved targets. Finds where the sales funnel leaks and sends each fix to whoever owns it.

  • AI agent

    Lin

    Chief Delivery Officer: project health and risk

    Runs Delivery as one portfolio. Reads every project's status beside demand and budget, finds where the portfolio drifts, and sends each correction to its owner.

  • AI agent

    Tamara

    Financial Officer: reports on the company's finances

    Reconciles the ledger with the bank, produces the statements and cash report, and flags every variance the controls name. It reports; a person decides.

  • AI agent

    Anja Johansen

    Management Officer: runs planning and performance reviews

    Drafts the company's performance reviews and quarterly plans, so leadership decides from evidence. Every figure traces to a record.

  • AI agent

    Freya Lindqvist

    Leads brand and creative direction

    Directs Futuvara's brand, look, pictures and motion, and checks every piece a buyer will see before a person decides.

  • AI agent

    Amara Okafor

    Defines target customers and positioning

    Recommends who Futuvara sells to and what it says: the ideal customer profile, segments, target accounts and messages.

  • AI agent

    Lucas Brennan

    Writes article and web page copy

    Writes Futuvara's articles and web pages, briefs the Website agent to build them, and keeps the "Start an Agentic conversation" route working.

  • AI agent

    Dawit Haile

    Moves deals from lead to close

    Moves deals from first interest to a win Delivery can start on, and keeps every deal record true. A person approves anything a prospect sees.

  • AI agent

    Tarek Hassan

    Runs demand generation and campaigns

    Shapes demand campaigns and their assets, and recommends what to do with them, so Growth earns leads worth a sales call.

  • AI agent

    Kwame Asante

    Marketing operations and measurement

    Sets up how Growth measures itself: tracking, customer-record categories, lead routing standards and baselines, each with a source and an owner.

  • AI agent

    Petra Svobodová

    Drafts the public website for approval

    Builds Futuvara's public website: pages, code, pictures and motion. It writes drafts; a person decides what goes live.

  • AI agent

    Maya

    Plans screens and how they work

    Plans the screens of a project, from menus and views to an app or a web page, with four specialist agents. Delivers only after a person says yes.

  • AI agent

    Nadia Haddad

    Designs menus, labels and site structure

    Plans the structure before any screen is drawn: sitemap, menus, labels and content model, with every item in the one place users would guess.

  • AI agent

    Kenji Watanabe

    Chooses page layouts, grids and spacing

    Chooses the layout for each view: the paradigm, the page skeleton, and the grid and spacing where a project has none.

  • AI agent

    Lucía Romero

    Checks what people see first on a screen

    Critiques a drafted view's visual hierarchy: what is seen first, where the eye goes next, and what carries too much weight. Every finding comes with its fix.

  • AI agent

    Samuel Lindqvist

    Writes specs for new components

    Specifies components a project does not have yet: anatomy, variants, every state, behaviour and accessibility. First it checks nothing existing does the job.

  • AI agent

    Ludwig

    Chairs meetings and records decisions

    Chairs rooms and calls where specialist agents and a person work together. Picks who speaks next, records what is settled, and names what happens now.

  • AI agent

    Jackson

    Business Architect: turns goals into workflows

    Helps a business unit's officer turn an approved mandate into workflows, schedules, skills, agents and templates that run, each traced to the measure it moves.

  • AI agent

    Deniz Demir

    Solutions Architect: turns client goals into designs

    Turns a partner's business problem into a solution design a project manager can start on the next day, naming the assumption most likely to break it.

  • AI agent

    Diego Hernandez

    Delivery Project Manager: runs the schedule

    Compares each Delivery project's plan with what happened, logs the gap and raises it to whoever can act, so a slip is seen in week one.

  • AI agent

    Mariana Quispe

    Frames and refines early ideas

    Turns a raw partner opportunity into an Opportunity Brief: the problem in the partner's words, the value it could unlock and the idea to test first.

  • AI agent

    Mateo Silva

    Shapes early ideas into delivery direction

    Turns a framed opportunity into a platform direction: what it is for, the first use-cases that show it working, and why it is worth building.

  • AI agent

    Rafael Oliveira

    Shapes agreements and maps milestones

    Checks that what Delivery will build and what the partner will sign describe the same thing, and flags billing implications for Finance.

  • AI agent

    Sofia Marchetti

    Shapes requirements and records design decisions

    Turns a platform direction and its requirements into a design that can be locked: scope boundaries, testable acceptance criteria, milestones and recorded decisions.

  • AI agent

    Njeri Mwangi

    Turns build packs into draft backlog items

    Turns approved requirements and build packs into backlog items a developer can finish in one sprint. Its items are drafts until someone pushes them.

  • AI agent

    Robin Lindqvist

    Tracks sign-offs and billing readiness

    Turns a finished, signed-off milestone into a billing package Finance can act on: what was delivered, who signed and when, and what is still open.

  • AI agent

    Dawit Bekele

    Checks a build is ready to release

    Checks that what Delivery built does what the partner agreed, criterion by criterion against its evidence, before anyone signs, ships or bills.

  • AI agent

    Zofia Kowalski

    Writes contact reports from client meetings

    Turns the record of a client meeting or call into a draft contact report: requirements, decisions, actions, risks and open questions, each tied to a quote.

  • AI agent

    Isabela Rossi

    Prepares the handover of a running platform

    Packages an accepted platform for running use: a handover pack that tells the running owner what they own, what is still open and who acts next.

  • AI agent

    Min-jun Choi

    Sorts client feedback and drafts the replies

    Reads the feedback partners and users send Delivery, removes personal details, sorts each item for whoever decides, and makes sure the sender hears back.

  • AI agent

    Rami Haddad

    Watches capacity and routes the workload

    Paces Delivery's work so agents never produce faster than people can approve or build. Compares what comes in with what is cleared, and recommends the pace.

  • AI agent

    Kathy

    Turns client requests into requirement records

    Turns what clients ask for, in emails, meetings and screenshots, into requirement records: one outcome each, who asked, and the evidence. Never how to build it.

  • AI agent

    Priya Raman

    Turns requirements into build packs

    Turns requirement records into build packs: one brief per shippable slice that a developer or coding agent can build without asking anyone.

  • AI agent

    Sione Taufa

    Opens or updates a new client's project

    Reads a client kickoff and decides whether to open a new Delivery project home, update the existing one, or hand the choice to a person.

  • AI agent

    Clara

    Identifies companies and people, and updates their records

    Keeps Futuvara's company and participant records true. Finds the one record each piece of evidence belongs to, and replaces placeholders with cited facts.

  • AI agent

    Quinn

    Pulls facts out of incoming information

    Turns each incoming document into knowledge Futuvara can trust: organises its facts, cites every one, and files each only in the place the platform assigns it.

  • AI agent

    Dilnoza Karimova

    Sends each incoming record the right way

    Sorts each incoming record into one route, or none. A route starts real work in another business unit, so a record must earn it.

  • AI agent

    Dieter

    Keeps the knowledge base well organised

    Keeps the knowledge base true to itself: one home per topic, every link working, and every change followed to the documents that depend on it.

  • AI agent

    Keiko Watanabe

    Checks which document owns each topic

    Before anything is written to the knowledge base, rules on one question: does an existing document already own this topic?

  • AI agent

    Farhan Hossain

    Decides what else changes after an edit

    When a document changes, works out what else must change, and takes the cases where more than one answer could be right.

  • AI agent

    Arief Wibisono

    Checks claims against their sources

    Checks whether each claim is true of the source it cites, and returns one verdict per claim.

  • AI agent

    Catalina Muñoz

    Drafts new documents, citing every fact

    Writes knowledge-base documents in their standard shape, with a source cited for every factual sentence.

  • AI agent

    Luka Petrović

    Turns agents' recent mistakes into lessons

    Turns the evidence of another agent's recent work into at most one true lesson. A person's own words decide what the lesson is.

  • AI agent

    Ines Carvalho

    Turns requests for new tools into specs

    Turns a business unit's need for a new tool or integration into one request the platform's build queue can act on. Searches for what already exists first.

  • AI agent

    Will

    Builds and tests workflows

    Turns what a person wants, such as "chase invoices two weeks late", into a workflow on the Futuvara platform, then proves it runs.

  • AI agent

    Noa Hernandez

    Looks after the shared skills library

    Turns how people really work into skills any agent can follow: a name, when to use it, ordered steps and what can go wrong. Tests each one before it is shared.

  • AI agent

    Hugo

    Drafts email replies from company knowledge

    Drafts email replies in the operator's voice, after reading what the knowledge base holds about the sender. The operator edits and sends them.

  • AI agent

    Minh Tran

    Writes the code for build packs

    Builds one build pack at a time, on its own branch, until every acceptance criterion is met and proven.

  • AI agent

    Joost van Dijk

    Resolves clashes when code is merged

    Settles clashes when code is merged, so both changes still do what they were built to do. When it cannot keep both, it stops and says so.

  • AI agent

    Malia Tuilagi

    Helps create reusable document templates

    Designs reusable document templates: the sections, their order, and guidance telling the next author what goes in each.

  • AI agent

    Eleni Papadopoulou

    Builds dashboards in conversation

    Builds dashboards so operators can see a number and act on it. Every tile says where its number comes from.

  • AI agent

    Mihai Popescu

    Decides when recurring work runs

    Decides when the platform's recurring work runs, and turns that rhythm into schedules that start the right workflows.

  • AI agent

    Siriporn Chaiyaporn

    Plans and rearranges the working day

    Shapes an operator's working day on Google Calendar so the best hours go to focused work. Never moves someone else's meeting to make room.

  • AI agent

    Aiman Rahim

    Manages the platform's cloud storage

    Looks after the platform's Google Cloud Storage: what is stored where, and the changes people ask for. Every overwrite or delete waits for a yes.