For AI teams

Give AI assistants trusted company context.

Ground assistants in real company knowledge from approved sources. Connect the tools that matter, choose what each assistant can see, and get cited answers that trace back to the original material. When the data is not there, Pantasso says so instead of making something up.

The challenge

AI assistants are only as good as the context they get.

When company knowledge is scattered, teams spend more time assembling prompts and checking answers than building useful workflows.

Hallucination

Assistants fill gaps with plausible-sounding fiction when they lack company context.

Cited retrieval: Every answer traces back to a workspace source. When context is insufficient, Pantasso reports the gap instead of fabricating an answer.

Scattered context

Company context lives across messaging, Google Workspace, Microsoft 365, email, calendars, spreadsheets, admin directories, code and project systems, CRM, finance, commerce, support, observability, cloud audit, files, databases, webhooks, SDKs, and structured imports. Assistants get the full picture only when approved sources are organized into one governed workspace they can query safely.

Shared company context: Pantasso organizes approved source data into one queryable workspace so assistants draw from the same governed pool of truth.

No audit trail

When an assistant makes a claim, nobody can trace where the information came from or whether it was current.

Full provenance: Every retrieval is logged with source, timestamp, and scope. Workspace owners see exactly what each agent accessed and when.

Capabilities

Built for teams that ship AI assistants.

Agent profiles with scoped access

Each AI assistant gets a profile that defines which sources it can read and what boundaries it must respect. Profiles are workspace-level, so adding a new assistant does not require reconfiguring sources.

Agent Profile: Research Assistant — Sources: Slack #eng, Drive /specs — Boundary: read-only, cite sources

Cited retrieval for grounding

When an assistant queries Pantasso, it receives source-backed context with inline citations. If the workspace does not contain enough information to answer, the response says so explicitly rather than guessing.

Query: "What was decided about the API migration?" — 3 sources cited — Confidence: high

Workspace health monitoring

A single dashboard shows source freshness, agent activity, retrieval gaps, and ingestion status. AI teams see at a glance whether their assistants have current, complete context to work from.

Sources: 5 connected, 1 stale — Agents: 3 active — Gaps: 2 flagged this week

How AI teams use Pantasso

From scattered sources to grounded assistants.

1

Connect your team's sources.

Approve the channels, folders, repositories, projects, CRM records, tables, files, or imports your AI assistants need. Pantasso only indexes what you explicitly select.

2

Create agent profiles.

Define which sources each assistant can access and what boundaries apply. Profiles are reusable across assistants that share the same scope.

3

Assistants query Pantasso first.

Before answering a company-specific question, your assistant checks Pantasso for cited context. Gaps are reported transparently.

4

Monitor and improve.

Use workspace health to find stale sources, review retrieval gaps, and expand coverage where assistants need better context.

Ready to ground your AI assistants in real data?

Give each assistant a scoped Pantasso profile backed by approved sources, citations, and gap reporting before it answers for the company.