Private AI operations

Put AI to work inside your perimeter.

Move repeatable knowledge work (briefs, monitoring, document processing, reporting) from ad-hoc prompts to governed workflows that run on schedule, exactly once, on your infrastructure.

Prompts do not scale into operations.

A useful AI task becomes a liability when it depends on someone remembering to run it, or on sending sensitive documents to a service nobody approved.

Duplicate messages and silent failures erode trust in automation faster than anything else.

What changes.

Exactly once

No duplicates and no silent failures, across retries and restarts.

Private by default

Your servers, your models, your policy on what may leave.

Every run recorded

What ran, with which model, what it produced and where it went.

How it works.

01

Connect

Sources, documents, systems and the channels where output is needed.

02

Apply policy

Models, budgets, schedules, review gates and data boundaries.

03

Run and deliver

Flow executes once, recovers from interruption and records the delivery.

Questions.

What do teams automate first?
Daily executive and intelligence briefs, document intake and extraction, and multilingual monitoring.
Can we use OpenAI or Anthropic?
Yes, where your policy allows, alongside private and open-source models, with automatic fallback.
Who can change a workflow?
Access follows your identity provider, and every change and run is recorded.

Bring us the decision that has to be right.

BriefingPilot on your dataProduction