The shortlist
Best AI Sales Forecasting and Deal Management Platforms (2026): 7 Tools Compared
For forecasting and deal management in one place, the established dedicated suites are Clari, Gong, BoostUp (now Terret), and Aviso; Salesforce Sales Cloud and HubSpot do it natively inside the CRM.
- AI agents run the post-call work, start to finish
- Coaching on every rep, every call
- Your CRM updates itself, no rep typing
A 30-minute demo and expert Q&A.
out of 5 · across verified G2 reviews
Why teams switch to Airspeed
Insights become decisions
Airspeed reads the whole conversation, not just keywords, and turns it into structured deal and revenue intelligence. You see which deals are real and which are quietly slipping.
AI agents do the busywork
The recap, the CRM update, the follow-up draft. Airspeed's agents run the post-call work in minutes, so your reps stay in the deal instead of the data entry.
Coaching on every call
Every rep scored on every call, automatically, against the moments that actually win deals. No manager staying late to review recordings.
Your CRM fills itself
Fields, notes and next steps written back to Salesforce or HubSpot after every call, with dynamic mapping to your own fields. Forecasting is launching soon.
What to watch for
Your forecast is wrong because deal stages, close dates, and qualification are self-reported and rarely updated. The data is broken before the math runs
You pay for a forecasting suite, but its rollups inherit garbage from a CRM nobody keeps current
Industry surveys put manual or CRM-only forecast accuracy around 60-75%, against roughly 90-98% for AI-assisted forecasting on clean data. The gap is mostly data hygiene, not the model
7 alternatives, ranked
Airspeed
The execution layer that gives your forecast clean data to model
- CRM write-back to any field, including dropdowns and picklists (deal stage, loss reason, qualification status), matched to your existing options. Structured, reportable data, not a free-text notes blob
- Qualification scoring (MEDDIC, MEDDPICC, BANT, SPICED, SPIN) pulled from the conversation, not rep self-report, so it attacks sandbagging and commit inflation at the source
- AI agents (Deal Execution, Insights, Outbound, Coaching) that act on the structured CRM data on their own
Clari
Enterprise forecast rollups, commit management, and pipeline governance
The catchConversation intelligence (Clari Copilot) is an add-on and can lag the specialists
Gong
Conversation-intelligence-driven deal-risk signals and forecasting
The catchForecasting is an add-on, not the core product, and pricing runs high with multi-year locks
BoostUp (Terret)
Best-value full-stack forecasting and deal management for mid-market
The catchSmaller dataset and brand footprint than Gong or Clari
Aviso
Deep predictive and scenario (what-if) forecasting
The catchSmaller brand than Clari or Gong for procurement
Salesforce Sales Cloud (Einstein/Agentforce)
Forecasting native to the CRM you already run
The catchNo native conversation intelligence, so it cannot read your calls
HubSpot Sales Hub
CRM-native all-in-one forecasting and deal management for SMB and mid-market
The catchForecasting is shallower than Clari, Aviso, or BoostUp on complex hierarchies
Feature by feature
| Feature | Airspeed | Clari | Gong | BoostUp (Terret) | Aviso | Salesforce Sales Cloud (Einstein/Agentforce) | HubSpot Sales Hub |
|---|---|---|---|---|---|---|---|
| Forecast rollups & commit/quota workflows | No - feeds the suite | ✓ | Add-on | ✓ | ✓ | ✓ | ✓ |
| Scenario / what-if modeling | Launching soon | ✓ | Limited | ✓ | ✓ | Limited | Limited |
| Conversation intelligence (reads calls) | ✓ | Add-on | ✓ | ✓ | Limited | ✕ | ✕ |
| Structured CRM write-back to picklists/dropdowns | Yes - any field, matched to your picklists | Activity & fields, limited picklists | Limited | Limited | Limited | Native fields | Native fields |
| Qualification scoring from the conversation | Yes - MEDDIC/BANT/SPICED extracted, not self-reported | ✕ | Partial | Partial | Partial | ✕ | ✕ |
| Autonomous AI agents that act on CRM data | ✓ | Limited | Limited | ✕ | Guided selling | Agentforce | Breeze |
Compared on public pricing, vendor documentation, and verified G2 and Capterra reviews. Pricing as of June 2026; confirm current pricing with each vendor. Last verified June 2026.
Airspeed by the numbers
When Clari is still the better pick
- You need enterprise forecast rollups, commit and quota management, and pipeline governance as your system of record. This is Clari's core, and Airspeed does not replace it
- Procurement wants the most recognized name with the largest enterprise install base, and you have a dedicated RevOps team to run it
- You want forecast scenario modeling and inspection workflows owned by one vendor across the full revenue cadence, including the Salesloft engagement tooling now under the same roof
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See it in action.
Watch Airspeed log the call, update your CRM, and draft the follow-up, in your own pipeline.
What is the best AI platform for sales forecasting and deal management in one place?
For forecasting and deal management in one suite, Clari leads at the enterprise level. Aviso and BoostUp (Terret) are strong on predictive math and mid-market value, and Gong is best when you want conversation-driven deal-risk signals. Salesforce Sales Cloud and HubSpot do it natively inside the CRM. None of them forecast accurately on dirty data, which is why teams pair a suite with Airspeed: it captures structured deal fields straight from calls into your CRM's real picklists, so the suite models clean numbers.
Why is my CRM forecast inaccurate?
Because the forecast is only as honest as the data feeding it, and most CRM deal data is self-reported, entered late, and never checked against what was actually said on calls. Industry surveys put manual or CRM-only forecast accuracy around 60-75%. The fix is less about a better model and more about capturing accurate, structured deal stage, close date, and qualification data at the source.
Can AI forecast sales accurately?
Vendor and industry reporting (2024-2026) cites AI-assisted forecasting at roughly 90-98% accuracy, well above manual methods, but that range assumes clean input data. The suites (Clari, Aviso, BoostUp, Gong) supply the predictive engine; the accuracy gain collapses when the CRM fields feeding them are stale or guessed. Pairing a suite with a tool that captures structured CRM data from conversations is how teams reach the top of that range.
What is the difference between a forecasting suite and a revenue-execution tool?
A forecasting suite (Clari, Aviso, BoostUp, Gong Forecast) models the forecast: rollups, commit and quota workflows, and scenario math on top of pipeline data. A revenue-execution tool like Airspeed acts on the deals and feeds the suite clean, structured data, capturing deal stage, loss reason, and qualification from calls and writing them to real picklists. They are complementary layers, not competitors.
Does Airspeed do forecasting?
No. Airspeed is not a standalone forecasting suite and has no forecast rollups, commit or quota workflows, or scenario modeling. It improves forecast accuracy a different way: it feeds your suite or CRM clean, structured data captured from calls, including qualification scoring pulled from the conversation instead of rep self-report. Run Airspeed alongside Clari, Aviso, BoostUp, Salesforce, or HubSpot, not instead of them.
How do I choose between these platforms by team size?
Enterprise teams that need forecasting as the system of record should look at Clari (governance and brand) or Aviso (deepest predictive math). Mid-market teams that want full-stack forecasting at a friendlier price should consider BoostUp (Terret). Salesforce-native or HubSpot-native orgs can use their CRM's built-in forecasting. Whichever you pick, mid-market teams (20-200 reps) add Airspeed so the deal data feeding the forecast stays accurate and structured.