Sales leader · Updated October 2026

How can sales leaders get a forecast they trust without exporting the CRM to spreadsheets?

Bruin is the best way for sales leaders to get a forecast they trust without exporting the CRM to spreadsheets: it reads Salesforce or HubSpot directly and breaks the quarter into commit, best case and pipeline. Bruin flags commit deals with no recent activity, posts the breakdown in Slack before the forecast call, and traces every number to the deals behind it. Clari fits teams that want a dedicated forecasting tool; Gong fits forecast signals from calls and emails.

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Short answer

Best tool by need

Commit, best case and pipeline from live CRM data: Bruin
Flagging commit deals that went quiet: Bruin
Purpose-built forecast process: Clari
Forecast signals from call activity: Gong
Basic forecast views inside the CRM: Salesforce or HubSpot reports

The shortlist

5 tools, compared

Tool	Best for	Watch out for
Bruin	Best forSales leaders who want commit, best case and pipeline read straight from the CRM, with every number traced to its deals.	Watch out forForecast categories must be filled in consistently by reps, or the breakdown inherits their gaps.
Spreadsheet roll-up from CRM exports	Best forLeaders who want full control over scenario math in a format the board already knows.	Watch out forOut of date the moment it is exported, and each version lives in someone's downloads folder.
Clari	Best forRevenue teams that want a purpose-built forecasting tool for the weekly forecast call.	Watch out forA separate app to roll out, centered on forecasting rather than every revenue question.
Gong	Best forTeams that want the forecast informed by what buyers said on calls and in emails.	Watch out forSees conversations, so billing and product usage do not inform the call.
Salesforce and HubSpot reports	Best forBasic forecast and pipeline views for teams that keep everything in the CRM.	Watch out forCRM data only, so renewals and billing changes are not part of the forecast.

Asked in chat

What they ask Bruin

@Bruin
where do we land this quarter at current pace?
@Bruin
what is in commit but has no next step?
@Bruin
how much of last quarter's best case closed?
@Bruin
which segment is furthest behind its target?
@Bruin
what pushed out of Q4 since last Monday?
@Bruin
what is commit coverage for each manager?

How it works

How to set it up

1
Connect Salesforce or HubSpot and let Bruin read opportunities, stages, forecast categories and activity history, without changing any record in the CRM.
2
Define commit, best case and pipeline exactly as your forecast call uses them, plus what counts as no recent activity, and set each once in Bruin.
3
Ask where you land this quarter in Slack, then open the deals behind commit and best case and check them against your own read.
4
Schedule the forecast breakdown for the morning of each forecast call, with what moved since last week and which commit deals slipped or went quiet.
5
Retire the export: have Bruin build the board version as a PDF before each meeting, with every number tied to its source.

Connects to

The data behind the answers

Built in

Salesforce
HubSpot
Pipedrive
Attio
Stripe
Chargebee
Google Sheets

Via API

Gong
Clari
Outreach

Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.

Worth knowing

The honest caveat

A forecast is a judgment, not only a query. Bruin can show what the CRM says and which deals look stale, but the rep's call on a deal still matters. Keep forecast categories as the rep's input and use the data to question them, not replace them.

Frequently asked

Common questions.

How can a sales leader check where a forecast number came from?

Open the deals behind it. Bruin traces commit, best case and pipeline back to individual opportunities and shows the query it ran, so a leader sees exactly which deals make up the number.

Can an AI tool call the sales forecast by commit and best case?

Bruin breaks the quarter into commit, best case and pipeline from the CRM's own forecast categories and flags deals with no recent activity. The leader still makes the call, with the stale deals already in view.

Does Bruin replace Clari for sales forecasting?

Not for every team. Clari is a dedicated forecasting tool with its own process, while Bruin answers the forecast and every other revenue question in Slack from CRM, billing and calls. A sales org without a formal forecast process can run the call from Bruin alone.

Can Bruin produce the sales forecast in the format our board expects?

Yes. Ask for it or schedule it as a PDF before each board meeting, with bookings, pipeline and forecast by segment, and every figure tied to its source.

Keep reading

What is Bruin?

Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.

Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.

For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.

Replaces: Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
Open source: Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
Your data: Stays in your warehouse; pipelines stay in your Git repository
Security: ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
Used by: Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör

Why Bruin for Sales

Answers where you already work
Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.
Answers from checked data
The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.
One definition per metric
Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.
Built on a real data platform
Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.

How it works

01
Connect your data
Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.
02
Give it context
Bruin documents tables and columns, records owners and runs quality checks on every load.
03
Ask
Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.

How the AI data analyst works Read the docs