A reputation system, built to work every day
Mia17 pairs senior, discreet work with an ambitious product roadmap for business and brand agents.
We don’t sell hours or slide decks. We build brands, systems and products that keep working when the project ends, and we stay to make them grow.
The thesis
We are building the agent layer that lets a company turn its reputation into a system that works 24/7. Human judgment sets the direction; carefully bounded agents carry repeatable work across the moments when a team is offline.
Why now
Businesses already have the signals, knowledge and tools agents need, but they sit in separate systems and rely on people to move them forward. Better models make useful orchestration possible; the hard work is still trust, integration, clear ownership and measurable outcomes. Mia17 starts with those operating details rather than promising autonomous growth.
Three horizons
Boutique · Today
Senior-led strategy, brand and automation engagements. Each workflow is designed around a real operating constraint, with a human owner and a defined measure of success.
Agent Studio · Building
A product direction for turning proven workflows into reusable, supervised agent templates that teams can configure and improve without losing control.
Platform · Long term · Europe and the US
An ambition to connect business and brand agents through a trusted operating layer that respects local context, privacy and human approval.
How we intend to scale
Human oversight
People define permissions, review consequential actions and can pause an agent. Automation is not a substitute for accountable ownership.
Privacy by design
Use the minimum data a workflow needs, document access and retention, and avoid moving sensitive information into tools without a clear basis.
Measured outcomes
Baseline a process before changing it. Report definitions, periods and limitations alongside any result so efficiency is not confused with impact.
Traction, with definitions attached
Beyond the headline counts on the home page, we will publish each measure with its definition, time window and limits.
Every measure we publish carries its time window, scope, calculation and relevant caveats. Panels built on sample data are always labelled as such.
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