Segment the customer base
Two thousand customers cut by industry, size and technology, revenue concentration charted, the underserved segment named, delivered as a document with the rows linked.
→ A segmentation the board can interrogate.
⟨ USE CASE · AI AGENTS FOR BUSINESS INTELLIGENCE ⟩
AI Agents for Business Intelligence
Account plans, segment reports and charts over any list or company, with every figure traced to the tool call that produced it. The analysis a data team would build, from a sentence, in minutes.
EVERY FIGURE SOURCEDCOMPUTED EXACTLYDELIVERED AS A REPORT
every figure
traced to its rows
Each number cites the tool call, the rows it read and the date, so a challenged figure defends itself.
exact
computation
Cuts, rankings and sums run in an isolated code environment where they are repeatable.
any list
as the input
A CRM segment, a saved list, a CSV or a sheet, enriched with live company data where the analysis needs it.
0
gates on reads
Analysis flows freely; only writes into your systems wait for approval.
⟨ THE JOB TODAY ⟩
Where the week actually goes.
01 /
The question is simple and the answer takes a week
Which segment converts, where revenue concentrates, who else looks like the best customers. The data exists across four exports and one analyst who is busy.
02 /
The CRM cannot answer about the market
It knows your accounts. It does not know their technology, their funding, their hiring or the thousand similar companies you have never spoken to.
03 /
Numbers arrive without their sources
A slide says 34 percent. Nobody in the room can say which rows, which date, which definition. The decision waits for a second meeting.
⟨ SEGMENT REPORT ⟩2,000 CUSTOMERS · BY INDUSTRY
⟨ WITH ASTROFABRIC ⟩
What changes when agents carry the work.
The company record, assembled
Firmographics, technology, funding, news, hiring, relationships and web footprint resolved from a name or a domain, with sources.
company_lookup · tech_stack · funding_events
Analysis over any list
Segment cuts, comparisons, rankings and concentration computed exactly in an isolated code environment over your CRM, a list or a CSV.
run_code over list_get
Charts and reports
Rendered charts and written reports delivered to Docs, Notion, Slack or email, with the rows behind every figure linked.
render_chart → deliver
Market context beside your data
Lookalike sizing, technology adoption across a segment and hiring trends in a territory, read from live data and placed beside your numbers.
similar_companies · hiring_signals
⟨ HOW IT WORKS ⟩
From objective to delivered rows.
- 01 · OBJECTIVE
Ask the question
Which segment converts, where revenue concentrates, who else looks like the best customers, in a sentence from the console or the chat.
- 02 · READ
Read the rows
The CRM segment, list, CSV or sheet read as it stands, with the columns and their coverage reported before anything is computed.
- 03 · ENRICH
Enrich where needed
Missing firmographics, stack, funding or hiring filled through the waterfall so the cut runs on complete inputs, sourced and dated.
- 04 · COMPUTE
Compute exactly
Segment cuts, concentration, conversion by attribute and lookalike sizing run in an isolated code environment, repeatable on demand.
- 05 · RENDER
Render and write
Charts rendered, the short report written with every figure linked to the rows and tool calls behind it.
- 06 · DELIVER
Deliver and keep current
The report to Docs, Notion, Slack or email, and a standing schedule that refreshes it on the cadence you set.
⟨ THE DATA ON EVERY ROW ⟩
IndustryHeadcount bandGeographyRevenue rangeTechnology stackFunding stageHiring trendCustomer status and ARRDeal stage and close dateWin and loss by attributeRevenue concentrationLookalike market sizeTechnology adoption by segmentTerritory rollupSource per figureComputation date
⟨ USE CASES ⟩
The jobs this page was written for.
Win-loss by attribute
Closed-won and closed-lost deals enriched and compared by stack, size, funding stage and signal presence, so the pattern behind the wins is a number rather than a hunch.
→ An ICP adjustment grounded in the deals you actually won.
Territory report with charts
Every company in the list scored and grouped by region, a chart per territory, the top ten accounts per rep named, refreshed monthly.
→ Territory planning from evidence.
Market sizing from lookalikes
The best customers expanded to every similar company in the market, counted by segment and geography, with adoption of the technologies you integrate with charted beside it.
→ A TAM built from companies that exist.
⟨ BEFORE AND AFTER ⟩
A business question, before and after
| By hand | With AstroFabric | |
|---|---|---|
| Time to answer | A week and a busy analyst | Minutes from a sentence |
| Inputs | Four exports and a VLOOKUP | Any list, enriched where the cut needs it |
| Computation | A spreadsheet nobody can re-run | Isolated code, exact and repeatable |
| Sources | A slide says 34 percent | Every figure linked to its rows and date |
| Market context | Absent from the CRM | Lookalikes, adoption and hiring beside your numbers |
| Freshness | The deck from last quarter | A living report on a schedule |
⟨ MISSIONS YOU WOULD RUN ⟩
Described in plain language. Delivered end to end.
COMPANY INTELLIGENCE
Segment the customer base → chart
Two thousand customers cut by industry, size and technology, revenue concentration charted, the underserved segment named.
FirmographicsChartsGoogle Docs
ONE MISSION · EVIDENCE ATTACHED
COMPANY INTELLIGENCE
Territory report with charts
Every company in the list scored and grouped by region, a chart per territory, the top ten accounts named.
ListsChartsNotion
ONE MISSION · EVIDENCE ATTACHED
REPORTS & DECKS
ICP fit report on the CRM
The whole CRM scored against the ICP, the distribution charted, and the accounts that fit but were never worked listed.
Lead ScoringHubSpotSlack
ONE MISSION · EVIDENCE ATTACHED
Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.
⟨ WHERE THE RESULT LANDS ⟩
⟨ GOVERNED AUTONOMY ⟩
Safe enough to actually turn on.
⟨ CONTROL PLANE ⟩ENFORCED AT RUNTIME · NOT ADVISORY
Numbers come from tool output only
Nothing is quoted from model memory. Every figure cites the tool call, the rows and the date behind it.
Computation is exact
Rankings, sums and cuts run in an isolated code environment where they are repeatable, so the number in the report is the number in the data.
Reads are never gated
Analysis flows freely; only writes to your systems wait for approval.
FAQ
Questions, answered.
What can it analyze?
Any list it can read: a CRM segment, a saved list, a CSV or a sheet, enriched with live company data where the analysis needs it. Segment cuts, concentration, conversion by attribute, territory rollups, lookalike sizing and technology adoption are routine; anything you can describe as a question over rows is fair game.
How do I know the numbers are real?
Every figure traces to the tool call that produced it, the rows it read and the date, and calculations run in an isolated code environment where they are exact and repeatable. A challenged number defends itself with its source instead of your credibility.
Where do reports land?
Google Docs, Notion, Slack, Telegram or email, with charts embedded and the rows linked. Standing missions can keep a living report current on the cadence you set, so the Monday brief writes itself from this week’s data. Charts and tables stay linked to the rows they came from.
Can it join our CRM with market data?
Yes. A CRM segment is read as it stands, enriched with firmographics, stack, funding and hiring where the question needs them, and placed beside market context such as lookalike counts and technology adoption in a segment. Every added field carries its source and date into the report.
Does it replace our BI tool?
No. It answers questions the CRM and the BI tool cannot see, the market around your accounts, and delivers sourced reports into the documents and channels you already use. Enriched fields and scores can be written back to the CRM on approval, so dashboards you own improve too.
Can it keep a report current?
Yes. Any report can run as a standing mission on the cadence you set, re-reading the rows, re-enriching what decayed and re-rendering the charts, with the delta since last time summarized at the top. The Monday brief writes itself from this week’s data.
What does analysis cost?
Plans start at $65 per month with credits included. Reading your own rows, computing and rendering charts are free; enrichment of missing fields costs a few credits per row and only when a source answers. Every mission states its estimate before it runs against a ceiling you set.
⟨ DEPLOY ASTROFABRIC ⟩
Ask the question. Read the sourced answer.
The first segment report from your CRM in minutes.