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

Your data.
Your company.
Your agents.

Assemble runs on the data you already have and the way you already work. Build a fleet of agents that monitor, act, and augment your team — each one smarter the longer it sits inside your business.

✓ No credit card✓ SOC 2 Type II✓ Customer-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
01 · LIVE · Intelligence tapeAcross all workspaces · anonymized
14:22LEVEL5FINNA revenue +34% MoM +34%
14:19HARBOROPSChurn dropped to 2.1% -0.6pp
14:18NORTHMKTCAC payback 9.2 months +0.4
14:17ARCOSFINGross margin 78.3% +1.2pp
14:14LEVEL5SUPP1 tickets -41% QoQ -41%
14:11MERIDIANFINBurn $1.2M/mo, 23mo runway ok
14:08HARBOROPSDAU/MAU 0.54 +0.03
14:04NORTHHR14 offers pending +3
14:00ARCOSMKTEU LTV $2,841 +$112
13:58LEVEL5FINDeferred revenue $8.1M flat
13:54MERIDIANOPSSLA breached x2 APAC alert
13:51HARBORFINAR aging > 90d = $412k -$89k
14:22LEVEL5FINNA revenue +34% MoM +34%
14:19HARBOROPSChurn dropped to 2.1% -0.6pp
14:18NORTHMKTCAC payback 9.2 months +0.4
14:17ARCOSFINGross margin 78.3% +1.2pp
14:14LEVEL5SUPP1 tickets -41% QoQ -41%
14:11MERIDIANFINBurn $1.2M/mo, 23mo runway ok
14:08HARBOROPSDAU/MAU 0.54 +0.03
14:04NORTHHR14 offers pending +3
14:00ARCOSMKTEU LTV $2,841 +$112
13:58LEVEL5FINDeferred revenue $8.1M flat
13:54MERIDIANOPSSLA breached x2 APAC alert
13:51HARBORFINAR aging > 90d = $412k -$89k
Meets your team wherever it works
  • Slack
  • Teams
  • iMessage
  • WhatsApp
  • Email
  • Web
02 · Data sources · the workspace index24 integrations · 400+ via MCP

Plug in everything
you run on.

Every source is ingested once, versioned, deduplicated at the row level, and re-queryable by any agent — without pipelines, without a data team, without leaving Assemble.

Read-onlyRow-level dedupEncrypted at rest
01 · Databases4 / 6 active
Postgres
2.8M
MySQL
1.1M
Snowflake
14.2M
BigQuery
9.4M
Redshift
ClickHouse
02 · Files & Docs4 / 6 active
CSV / Excel
842 files
PDF
318 docs
Notion
1,204 pages
Google Drive
2,880 files
Confluence
SharePoint
03 · Business Apps5 / 6 active
Salesforce
41k records
HubSpot
18k contacts
Stripe
112k events
Zendesk
8.2k tickets
Linear
3.1k issues
Slack
04 · Protocols4 / 6 active
MCP servers
14 active
REST APIs
~
GraphQL
Webhooks
~
SFTP
S3 / GCS
1.4 TB
The foundation

It's your data, your company, your intelligence.

Assemble isn't a generic model dropped on your stack. It's a private operating brain trained on your systems, your rules, and your team's way of working — and it compounds.

01Your data
Connect anything, or upload it.
Native connectors for your CRM, billing, GL, support, and docs. BYO database via Postgres, Snowflake, or BigQuery. Or just drag in a CSV, PDF, or spreadsheet — Assemble reads it all. Your data stays in your region, under your retention policy.
Salesforce
Stripe
NetSuite
Zendesk
Notion
Snowflake
Upload CSV
Postgres
02Your company
It actually understands your business.
Assemble infers your schema, your metrics, and the relationships between them. Your team annotates what the model gets wrong — human-in-the-loop, not human-replaces-loop. The definitions stick.
YouARR should exclude trial and one-time charges.
Got itUpdated definition. Applied to 14 artifacts.
03Compounding
The more you use it, the more it learns.
Every question answered, correction made, and rule saved feeds the next one. Day-one Assemble is a smart assistant. Year-one Assemble is the longest-tenured analyst your company has ever had.
Week 1
24 rules · 6 agents
Week 4
142 rules · 18 agents
Week 12
487 rules · 41 agents
03 · Method · four movesFig. 02

Four moves from scattered data to shared intelligence.

01
Step 01

Connect

Point Assemble at anything.

Databases, spreadsheets, PDFs, SaaS tools, MCP servers. One-click OAuth or a read-only key. No pipelines to build, no data team required.

Workspace · Connections4 live
Snowflake
linked · 14.2M rows
Salesforce
linked · 41k records
Q1_Renewals.xlsx
parsed · 12 sheets
Stripe
linked · 112k events
Drop any file, or paste a URL
02
Step 02

Teach

Make it fluent in your business.

Upload a glossary, paste a formula, or just correct an answer. Every correction becomes a workspace rule, tagged to its author and auditable forever.

Knowledge · rule #M114taught by priya
When anyone asks about churn, use:
churn_rate =
  lost_customers(period)
  / active_customers(period.start)
Used 284×98% 👍Last used 2h ago
03
Step 03

Ask

In plain English.

The whole team shares one chat. Every answer arrives with sources, citations, the code it ran, and a confidence score you can take to the board.

Chat · #financeturn 12
How much did we save on AWS this quarter vs forecast?
Assemble · conf 91%
$184,220 under forecast (−11.2%). The delta comes from two reserved-instance renewals and a 23% drop in egress costs after the CDN change.
[1] AWS Cost Explorer[2] FY25 Budget.xlsx · p.8
04
Step 04

Compound

It gets smarter every day.

Heartbeat monitors watch your KPIs while you sleep. The knowledge graph grows. Accuracy compounds. Your team feels the difference inside a month.

Accuracy · 90-day rolling+65 pp since launch
Week 1 · 22%Week 12 · 87%
Week 9: 4 new rules taught during QBR prep — compounds into 12-point accuracy gain.
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
Learn more
#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
Learn more
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
Learn more
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
04 · Artifacts · insights as evidenceEvery answer is a document

Nothing is ever just a chart.

Every answer is a first-class artifact — browsable, reviewable, auditable. Your team can validate it, dispute it, or cite it in the board deck. Forever.

#A4782 · Chat · FinanceVALIDATED
Question · Maren C.
Is the March revenue spike a trend or a one-time event?
Actual vs ForecastUSD M
JanFebMarAprMayJun
Trend, not one-off. Three of four forward indicators (pipeline coverage, NRR, expansion rate) already support July's forecast at 95%+ confidence.
[1] Snowflake · rev_fact[2] SFDC · pipeline_v2[3] FP&A Model · v14
NA · Q1–Q2 · USDConf 94%
#A4816 · Heartbeat · OpsDRAFT
Monitor · P1 ticket velocity
P1 ticket resolution is running 2.1× slower this week vs trailing 30-day median.
Median · now
4h 12m
Median · 30d
2h 01m
Open P1s
14
Resolved
38
Why: 62% of open P1s are in the APAC queue, which lost two engineers to PTO on Monday.
Recommend: rebalance 6 tickets to EU queue today.
Daily · 06:00 UTCConf 87%
#Ledger · todayLIVE
Conversations · last 2 hours
Alicia Ro.96%
What's our runway at current burn?
Jordan Lee82%
Are any customers at churn risk?
Priya Nair91%
Which region is underpriced for our CAC?
Maren C.99%
Show me every vendor contract renewing in Q3.
Finn O.78%
What changed in last week's onboarding cohort?
37 more today→ Open ledger
5 of 42 questionsConf avg 89%
Agent fleet

A team of agents, not a single assistant.

Spin up as many agents as your team needs — each one scoped to a domain, trained on your rules, and wired into the systems it's allowed to touch. Some monitor. Some act. All of them augment your people.

Monitor — watches and alerts
Act — writes, drafts, and updates
Augment — works alongside a teammate
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
Hiring Pace
People
monitor
Tracks offers vs. plan by function and level.
Updates NotionAlerts recruiters
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
Compounding intelligence

The longer it runs, the smarter your company gets.

Every question answered becomes a reusable rule. Every rule becomes an agent. Every agent teaches the next one. Your institutional knowledge finally has a place to live that isn't Ana's head.

Your operating graph
487 rules · 41 agents
+18.4% / week
Rules learned Agents deployed
01
Ask once, never ask again
Every answer becomes a saved query. The next person asking the same question gets the same methodology — instantly.
02
Rules travel with the data
A rule written by finance applies automatically everywhere the underlying fields appear — no reconciliation meetings.
03
Agents teach agents
When a new agent spins up, it inherits the full context of the agents that touch its domain. Day one is never day one.
04
Your knowledge, your moat
The longer you run Assemble, the harder it is to rip out — because what's inside is your company, not ours.
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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