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Your AI office, with people at the center
AI staff who work with your people, not in their place: agents with roles, memory and a schedule, the right model for each task and always a person who decides. Your staff, “augmented” by AI.
Sound familiar?
When AI is an individual habit, not a way of working
Everyone uses AI on their own, in a different chat, with no shared method, memory or rules.
Agentic AI looks like something for programmers, and business teams are left out.
We don't know which model to trust or where our data goes.
Nobody is clear on who approves what the AI does.
How does it work?
One interface, many models, people in the loop
The work and the people first; the model after.
Start with the work
We map the decisions, processes and routines where AI adds value. Each agent gets a role, a scope and a person it reports to, like any new hire.
One interface, many models
Clairvoyance is the human interface. Behind it, the right model for each task: frontier AI, multi-model cloud, local models when the work is private, and your business data.
A person decides
Agents prepare, review and alert. When something needs approval, they notify the person in their own task app, even when they are out of the office.
How do we roll it out?
From the first agent to a capability that stays in your company
01
Diagnosis
In 2 to 3 weeks: the routines and decisions where AI helps, how sensitive the data is for each task, the first roles and the approval rules.
02
Pilot
In 6 to 8 weeks, 2 to 4 agents in one team, with duties, a schedule, a model for each task and a person in the loop. We measure time saved and quality.
03
Scale and transfer
More teams and roles, internal champions trained to run and expand the office, and the rules on data, models and approvals written into your governance.
04
Custom models
Where the data calls for it, for recurring decisions such as demand, credit or deviations: models trained on your ERP data.
Where does it fit?
AI applied to what we already do with you
- Back office and shared services: close checklists, reconciliation exceptions, deviation monitoring and service level reports.
- PCCI: the AI office as a capability your company keeps, with trained internal champions.
- Responsible use: who approves, which model sees which data and what stays local, following the ICMCI's ethics and AI use rules.
We use it in our own work
At EXYGE we work with our own AI office, and our sister company e-CGS is Clairvoyance's first partner for the Spanish-speaking market.
Technology, after the process
Tools we implement in this line
Process and good practice come first; the tool comes after.
Main enabler
Clairvoyance
An agentic operating system for people, not an AI model: AI staff with roles, memory and a schedule who collaborate with each other and are accountable to your human team.
Supporting enabler
TheDiscoveryAI
Custom enterprise AI models, trained only on your data and connected to your ERP, as a managed service. Today it is offered on its own; its connection with Clairvoyance is coming soon.
Supporting enabler
mindzie
Evidence of how your processes run, to choose with data which routines the AI staff should take on first.
Technologies via e-CGS, our sister company and technology partner.
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Which routine should your AI staff take on first?
Let's talk for 30 minutes and find it together.
