Meeting brief, ready
Before the call, the agent assembles the brief: the relationship history, open items from the last conversation (VOX’s memory), and what has changed in the portfolio since.
Platform · AI Applications
Where context becomes work: agents, monitoring, and governance.
Applications that operate on the graph, with human oversight, verifiable answers, and an audit trail.
01The concept
The difference between a demo and an operation.
Every AI demo impresses. Production is where the three questions that kill pilots arrive. Each one has already been answered by a layer below.
- “Is the answer right?”Accuracy: a demo answers anything with confidence.→Inherited from the graphThe answer comes from the operation’s real context, not guesswork.
- “Can you prove it?”Verifiability: in a demo, nobody asks for the source.→Inherited from the foundationLineage back to the origin, in every statement.
- “Who was allowed to see that?”Governance: in a demo, everyone accesses everything.→Inherited from the MCPPermissions and a record on every query.
The applications inherit the answer from the architecture, instead of reimplementing it in every project.
02Agents
The repetitive work, with the context of someone who knows the account.
Agents query the graph via MCP with the permissions of the user they serve. Where there is risk, they propose instead of executing: assisted decisions, with human approval at the points defined with you.
@assistant in the daily routine
“Which clients have maturities this week?” The answer comes with the list and the source of each item. And nothing beyond what that profile can see.
03Monitoring
The operation in plain sight. And the AI itself.
Explainable dashboards of the operation: priorities, signals, and deviations. Every item opens the why and the sources. That is Advisor Intelligence at work, below.
- Operation dashboards: priorities ranked by signal: maturities, transactions, time without contact, meeting commitments.
- Dashboards of the AI itself: usage by team, most frequent questions, share of answers with a source.
- Visible return: the value of AI stops being a feeling and becomes a number the board tracks.
- Signal, not noise: the dashboard points to where to act; the decision stays with whoever knows the account.
04Governance
Who can do what, with everything on record.
- BYOC by design: the platform is hosted on your cloud infrastructure, inference happens inside the same perimeter (managed service or dedicated GPU), and the record is stored there too.
- Roles and permissions (RBAC) defined with compliance, not after it.
- Audit trail of agent queries and actions: who, what, when, with which answer.
- Source policy: the AI only states what it can cite.
- Human approval configurable per flow, at the points where there is risk.
In financial markets, traceability is not a differentiator. It is an operating requirement. And running in the cloud account the institution has already contracted shortens vendor approval from months to weeks.
05Commercial model
Ready-made or custom-built, on the same infrastructure.
Service or SaaS.
Ready-made applications (VOX, Advisor Intelligence) come in as SaaS. Applications designed for your flow come in as a service, on the same infrastructure.
VOX
The meeting ends. What was agreed does not get lost.
See the case ↗Advisor IntelligenceThe day starts knowing which client to serve first. And why.
See the case ↗Compliance alertsThe exception shows up immediately, not in the audit.
See the case ↗Standard sales pitchA hundred professionals, one pitch: the approved one.
See the case ↗06Next step
Start with the application that proves value first.
The Assessment points to which one: the one that extracts value from day zero.
07Contact
Book 30 minutes
with the people who build.
A founder joins the call. You bring a real problem from your operation and leave with an honest read on where AI creates value. If we are not the right fit, we say that too.
The calendar opens right away. You pick the time and get the invite by email.
If you would rather write before booking, the email is contato@entitylabs.com.br.
What fits in 30 minutes
- You tell us which decision is stuck in your operation today.
- We show the layer applied to a case like yours.
- We tell you what can be done with the data you already have. And what cannot.
- If it makes sense, you leave with a written scope — timeline and success criteria included.