AI-ready data for your agents.

An AI data pipeline connects your tools, documents and spreadsheets, so agents work from your own data. On Managed, our engineers build it and keep it current.

Northstar StudioSources / Northstar StudioJJamie
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Who reviews this handoff?

The register names Jamie. The call notes name Alex. Confirm the reviewer before an agent relies on it.

For Jamie to resolve

What we connect

  • Integrated apps: QuickBooks, Gmail, Outlook and Google Sheets, so agents work from the records your team already keeps.

  • Your files: the documents, spreadsheets and client files your agents need for each job your team hands them.

  • Other apps: 1,000+ app connectors, each confirmed during scoping before an agent relies on it.

What the pipeline does

  • Checks it as it arrives, so problems are caught before any agent relies on the data.

  • Organizes it around your clients, with each client's information structured the way your business serves them.

  • Keeps it current as new documents and data arrive, so agents work from a recent picture of your business.

  • Makes each next agent faster to build, because the data it needs is already connected and organized.

What an AI data pipeline connects, checks and organizes

Why it matters

Agents are only as good as their information. Real work needs your business's own data, not a generic answer, and the pipeline is what puts that data in reach.

Questions

What data does the pipeline bring together?

Whatever your agents need: your systems, documents and spreadsheets, and your clients' records and files. Precision integrates with QuickBooks, Gmail, Outlook and Google Sheets, and other apps are confirmed during scoping.

How is this different from the AI in our current software?

Some existing AI products support outside data through connectors, so we check those first against your sources, permissions and review needs. A pipeline fills the gaps in access, checking and handoffs between systems.

How do you keep the data accurate?

Totals must tie out, and missing, unreadable or conflicting items are flagged for a person instead of guessed. Scanned documents are read by a language model under the same zero-retention rules as every model call.

Do we have to replace our current software?

No. The pipeline connects the tools, documents and spreadsheets your team already uses without replacing them, so people keep working as they do today while agents work from the same records.

Who builds and maintains the pipeline?

On Managed, our engineers build it and connect each source agreed during scoping. Your team answers the questions it flags and decides what goes into your Agent OS (AOS).

Where is our data stored?

On Google Cloud in the United States, isolated from other businesses and encrypted with keys unique to yours.

Put AI to work in your business.