How we work: from first conversation to agents in production
No chatbot and no loose experiment, but a fixed way of working. First we understand your process, then we build specialised agents in your own environment, and a human always keeps the pen.
Example of a pipeline: each agent has its own single task. A human reviews the final result.
From problem to solution in 5 steps
Two ways to start. You name a process that costs too much time and together we check whether that is the best first step. Or you invite us in for a free analysis: we look at your organisation and show you where you can save, how that works and what it costs.
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01
We map out the problem
You tell us what takes the most time. We map out the problem and the process around it.
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02
Advice on the best use of AI
We advise where AI really adds value and where it does not. You get a concrete proposal with the expected time savings and a fixed price up front.
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03
Demo based on your process
You see a demo based on your own process, not a generic pitch.
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04
Build and fine-tune, together with you
We build the solution in your own Azure or Google Cloud environment and check in with you throughout, until you are 100% satisfied. We only go live when you give the green light.
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05
Solution and delivery
You get the solution delivered, aimed at the goal you set up front: savings, progress or an efficiency gain. After that you can choose monthly optimisation.
Agents deliver a draft, you make the decision
Autonomy is a choice, not a default. Together with you we decide where an agent works independently and where a human always reviews.
The result is a draft report that an employee reviews, adjusts and releases. That keeps you in control, even as volumes grow.
- โBy default a human reviews the draft before it goes out
- โHard boundaries per agent: what it may and may not do
- โWe only go live when you give the green light
Security is built into the architecture
Running in your own environment removes a lot of risk. A complete solution does not exist. This is what the architecture covers and what you arrange yourself.
What the architecture covers
- โRuns in your own Azure or Google Cloud tenant
- โYour data stays in your tenant; we only have the access you give us
- โAudit trail per AI decision
- โData minimisation, human in the loop and risk classification of the product
- โAdvice on ISO compliance (ISO 9001, ISO 20000, ISO 27001) during implementation
What you arrange yourself
- โAccess management and user rights in your own tenant
- โYour own policy, retention periods and processing register
- โYour organisation's formal GDPR and ISO responsibility
- โWhich processes and which data we give to agents
Frequently asked questions
What is an AI agent?
What kind of work can HighFaive automate?
What should I look for when choosing an AI agency?
What does an automation cost?
You pay a one-off fee for building and implementing the solution in your own cloud environment. Because every project is custom-built, we do not work with a price list: the price depends on your process and the route that fits.
After the free analysis you get a fixed price upfront, with no hidden costs. If a one-off investment does not suit you, a subscription is possible too. Monthly optimisation after delivery is an option we agree on separately.
Do I need technical knowledge?
Is my data safe?
How quickly is the first automation live?
What if I'm not satisfied with the result?
What about GDPR, ISO 9001, ISO 27001 and the EU AI Act?
Which organisations are suitable for HighFaive?
HighFaive works for any organisation with repeatable, administrative work that could be smarter and more efficient. Strict regulation is not a requirement.
If you do work with sensitive data or strict requirements apply, that is exactly where we stand out. A no-obligation analysis always brings clarity.
Is this a chatbot?
Which process costs you the most time?
You get a free analysis: we look into your organisation and show you what your process looks like automated.
We work out how much time and money your process costs now.
You see a demo based on your own process, not a generic pitch.
A fixed price upfront, no surprises afterwards.