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NewAgent Fleet — agents that don't just watch, they act

Your data. Your company.
Your agents.

A fleet of agents that runs on the data you already have and the way you already work — and gets smarter the longer it lives inside your business.

SOC 2 Type IIYour data never trains shared modelsCustomer-hosted option
Assemble — Operations workspace⌘K
Your question
What drove the churn spike in March, and is it still happening?
AAssemble · 4 sources cited
March churn hit 4.2% (↑ from 2.1%), driven almost entirely by 9 Starter-tier accounts with fewer than 4 active seats. April is tracking back to 2.4% as the low-seat cohort stabilizes.
Gross churn · weekly
last 12 weeks
JanFebMarApr
Meets your team wherever it already works
  • Slack
  • Teams
  • iMessage
  • WhatsApp
  • Email
  • Web
How it works

Three moves to shared intelligence.

No pipelines, no migration project, no new tool to learn. Most teams ask their first real question on day one.

01

Connect

Point it at everything you run on — databases, spreadsheets, SaaS tools, PDFs. One-click OAuth or a read-only key. Your data stays in your region, under your rules.

02

Teach

Correct an answer once and it becomes a rule — tagged to its author, auditable, applied everywhere the data appears. Your definitions stick.

03

Ask

Plain English in, cited answers out — in Slack, Teams, email, or the workspace. Every number links back to its source row.

The fourth move

It happens by itself.

Every answer becomes a rule. Every rule sharpens the next answer. By month three, Assemble is the longest-tenured analyst your company has ever had.

22% → 87% answer accuracy in the first 12 weeks, on average.

The product

Ask. Publish. Automate.

Questions become cited answers. Answers become living documents. Documents become agents that act.

Chat

Ask like a human. Get answered like an analyst.

Drop a question in Slack, email, or the workspace. Assemble reads the systems it's connected to, applies your rules, and replies with a cited answer — usually in under a second.

  • Citations on every number, clickable back to the source row
  • Follow-ups inherit context; no re-priming the model
  • Share answers as live artifacts — they keep updating
#rev-opsToday · 14:08
Ana Torres · Head of Revenue
@assemble what's our coverage ratio for Q3, and which reps are under-pipelined?
A
Assemble
Coverage is 2.7× against $23.4M plan — under the 3× bar. Three reps are below coverage:
Priya S.1.8×$1.2M / $2.1M
Marcus W.2.1×$980K / $1.5M
Jordan K.2.4×$1.4M / $1.9M
Salesforce · pipelineRule · coverage ≥ 3×
Artifacts

Your board deck, but it writes itself.

Pin any answer as an artifact — a living document that re-runs its queries on schedule. Board decks, QBR prep, investor updates: draft once, stop redoing them.

  • Charts, tables, and prose that stay in sync with the source
  • Export to PDF, Notion, or Google Slides with one click
  • Versioned; diff any two snapshots
Q1 FY26 Board Deck
Auto-updated · 3 hours ago
● LIVE
ARR
$23.4M
+28.6%
Net revenue retention
118%
+4pt
CAC payback
11.2 mo
−0.8 mo
Net new ARR of $4.9M was driven by three large expansion deals: Acme, Fjord, and Helio.
ARR trajectory
FY25 → FY26
Agents that act

Not just dashboards. Agents that pick up the pencil.

Monitoring is table stakes. Assemble agents draft memos, email customers, update records, and route approvals — inside the permission scope you give them, with a paper trail on every action.

  • Scoped permissions — what each agent may read and write
  • Human-in-the-loop or fully autonomous, per agent
  • Every action reversible; every action audited
Active agents · acting now
DSO Collector
sent 4 dunning emails
act
Firing
Deal Desk
drafted approval memo for Acme
act
Review
Support Triage
tagged 38 tickets · escalated 2
act
Firing
Pipeline Coverage
pinged 3 managers
monitor
Firing
Churn Canary
watching 14 at-risk accounts
monitor
Quiet
Data sources

Plug in everything you run on.

Ingested once, versioned, deduplicated at the row level, and re-queryable by any agent. No pipelines. No data team.

Read-only by defaultRow-level dedupEncrypted at rest

24 native integrations · 400+ more via MCP

Databases4 of 6 live
  • Postgres2.8M rows
  • MySQL1.1M rows
  • Snowflake14.2M rows
  • BigQuery9.4M rows
  • RedshiftAvailable
  • ClickHouseAvailable
Files & docs4 of 6 live
  • CSV / Excel842 files
  • PDF318 docs
  • Notion1,204 pages
  • Google Drive2,880 files
  • ConfluenceAvailable
  • SharePointAvailable
Business apps5 of 6 live
  • Salesforce41k records
  • HubSpot18k contacts
  • Stripe112k events
  • Zendesk8.2k tickets
  • Linear3.1k issues
  • SlackAvailable
Protocols4 of 6 live
  • MCP servers14 active
  • REST APIsLive
  • GraphQLAvailable
  • WebhooksLive
  • SFTPAvailable
  • S3 / GCS1.4 TB
Agent fleet

A team of agents, not a single assistant.

Each one scoped to a domain, trained on your rules, and wired only into the systems it's allowed to touch. Some monitor. Some act. All of them augment your people.

Pipeline Coverage
Revenue
monitor
Watches weekly coverage by rep, flags below 3×.
Pings #rev-opsDrafts coaching notes
DSO Collector
Finance
act
Spots overdue invoices and sends reminder emails with context.
Emails AP contactsPosts to NetSuite
Churn Canary
Customer Success
monitor
Flags low-seat accounts trending toward cancellation.
Alerts CSMOpens Linear ticket
Deal Desk
Revenue
act
Auto-drafts approval memos from Salesforce opp data.
Writes memoRoutes for signoff
Support Triage
Support
act
Reads Zendesk backlog, tags by theme, escalates P0s.
Tags ticketsPings on-call
Board Prep
Finance
augment
Rebuilds the board deck every Monday with fresh numbers.
Updates artifactDrafts commentary
Forecast Judge
Revenue
augment
Compares rep commit to Assemble's own projection.
Flags varianceSuggests adjustments
Spin up another
Describe what it should watch or do — Assemble scaffolds the agent in seconds.
41
avg. agents per customer by month 3
8,200
actions taken per week across a fleet
2.3 hrs
avg. analyst time saved per agent / week
Enterprise-ready

Built for the compliance review, not just the demo.

Your data never trains a shared model. Every agent runs in a permission scope you control. Everything an agent touches leaves a diff.

SOC 2 Type II
Audited annually by an independent Big Four firm.
Your data, your region
Hosted in your region or your own VPC. Your data never leaves your perimeter.
Granular agent scopes
Every agent has an explicit read/write scope. Nothing an agent can do that a human can't.
Full audit trail
Every action an agent takes is logged, diffed, and reversible.
SSO / SCIM
Okta, Azure AD, Google Workspace. SAML, SCIM provisioning, just-in-time access.
Private models
BYO model provider. Nothing is trained on your data. Ever.

Your company has an operating brain.
It just doesn't know it yet.

20-minute walkthrough. Bring one question you asked your last board meeting — we'll answer it live, with sources.

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