Deal Intelligence Software: 9 Best Tools for B2B Sales

Deal intelligence software turns the evidence in calls, emails, meetings and CRM activity into a judgment on each deal: how likely it is to close, what risk is building and what the rep should do next. Tools in this category include Avoma, Gong, Sybill, Aviso, Salesloft (which now includes Clari), Backstory (formerly People.ai), Outreach, Oliv AI and Proshort.

Key takeaways

• A CRM stores what the rep typed. Deal intelligence reads what the buyer actually said and did, and flags the gap.

• Tools fall into four types: conversation-led, forecast-led, activity-capture-led and agent-led. Pick the type before the vendor.

• Several names changed in the past year: Clari merged into Salesloft, People.ai became Backstory, BoostUp became Terret and Salesforce bought Momentum.

• Proshort is our product. It shows every deal's probability, 14-day momentum and MEDDICC coverage from call evidence, and Aria acts on the deal during the call, not only afterwards.

How we compared these tools

• Evidence: whether each score or risk points to the call moment, email or activity behind it.

• Methodology coverage: MEDDICC or similar gaps named per deal.

• Write-back: updates that reach CRM fields, Slack or email, not only another dashboard.

• Timing: whether signals arrive after the call, before the next one or during it.

Disclosure: Proshort makes Aria, one of the tools below; we list it last and describe every tool from its own website. Vendor information was checked in November 2026. Tools are grouped by type (conversation-led, forecast-led, activity-capture-led, engagement-led, agent-led), alphabetical within each type, and not ranked.

What is deal intelligence?

Deal intelligence is the practice of judging each open opportunity on evidence rather than on the rep's optimism. It combines three inputs: what was said on calls, what happened in email and calendar activity, and what the CRM records. The output is a deal-level view of probability, risk, qualification gaps and next steps.

The need is old. In a Gartner survey of sales operations, only 45% of sales leaders and sellers had high confidence in their organization's forecast accuracy, and Gartner named poor data quality as a main cause. Deal intelligence attacks that cause directly: it checks the CRM against what buyers actually said.

Typical deal intelligence signals include:

• A champion who has gone quiet, or a buying committee with only one contact engaged.

• MEDDICC fields with no supporting evidence (no economic buyer met, no decision process discussed).

• Competitors, pricing pushback or legal concerns raised on calls but missing from the CRM.

• Close dates pushed more than once, or activity dropping in the last two weeks.

How is deal intelligence different from revenue intelligence and CRM forecasts?

A CRM forecast rolls up the stage, amount and close date reps entered. Deal intelligence tests those entries against evidence, one deal at a time. Revenue intelligence is the wider umbrella that adds forecasting, rollups and team analytics on top.

Analysts now group these tools into larger platforms. Gartner's Magic Quadrant for Revenue Action Orchestration describes these platforms as the cornerstone of AI-first sales execution. Forrester's 2026 evaluation of revenue orchestration platforms warns that vendors competing to own "revenue context" may create a new generation of context silos. That is a useful test for any vendor: can your deal evidence flow back into the CRM and the tools your team already uses?

What should deal intelligence software do?

Use this checklist when you evaluate platforms:

1. Capture without admin. Calls, email and calendar activity are linked to the right opportunity automatically.

2. Score on evidence. Probability and risk are explained, with the call moment or email behind each signal.

3. Map your methodology. MEDDICC, MEDDPICC, BANT or SPICED coverage per deal, with the gaps named.

4. Write back. Updates reach CRM fields after a human check, so the system of record improves.

5. Reach managers where they work. Alerts in Slack, email or the CRM, not only in another dashboard.

6. Act in time. Signals arrive while the deal can still be saved, ideally during the conversation itself.

9 deal intelligence tools, compared

The tools, one by one

Avoma: for notes and deal health in one tool

Avoma Revenue Intelligence scores deal health from conversation sentiment and CRM engagement, raises risk alerts and offers a pipeline review view, on top of its meeting assistant.

Gong: for large teams standardized on conversation capture

Gong Forecast includes an AI revenue predictor, pipeline dashboards and deal boards. AI Deal Monitor flags risks such as single-threaded deals, and AI Deal Reviewer pressure-tests deals. Its deal tools work from captured calls and activity, which makes it strong for inspection and coaching.

Sybill: for rep-level assistance

Sybill is an AI sales assistant that writes CRM updates, follow-ups and call summaries, with deal inspection and a deal workspace. It is lighter on formal forecasting than forecast-led tools.

Aviso: for forecast-centric revenue operations

Aviso positions itself as an end-to-end AI revenue platform, with revenue forecasting, pipeline inspection, deal acceleration and conversation intelligence that ties interactions to win probability. It suits revenue operations teams whose first question is the number.

Salesloft (includes Clari): for forecast governance and rollups

Clari and Salesloft completed their merger in December 2025 and adopted a single Salesloft brand in September 2026. Only Clari Forecast keeps the Clari name, alongside modules for deal management and pipeline inspection. Choose it when forecast discipline and rollups are the priority.

Backstory (formerly People.ai): for enterprises with large buying groups

People.ai renamed itself Backstory in April 2026. It captures emails, meetings and calls and tells leaders which deals are real and which are at risk, with pipeline health, risk headlines and deal summaries. A fit for enterprises where buying groups are large and activity is scattered.

Outreach: for teams running sequences on Outreach

Outreach deal management adds a Deal Agent that updates opportunity fields, deal health scores with seven-day trends and pipeline views by risk. It makes most sense for teams already running prospecting sequences in Outreach.

Oliv AI: for teams replacing legacy tools with agents

Oliv AI calls itself an agentic operating system for revenue teams. Its Deal Driver agent flags deals likely to slip, and its Forecaster agent rebuilds forecasts from call and deal evidence.

Proshort (our product): for deal evidence that shapes the next call

Proshort's deal and pipeline review view shows every active deal with probability, 14-day momentum and MEDDICC at a glance, plus Aria signals such as a champion going silent or a document asked for twice. The evidence comes from calls and emails, not guesses in the CRM, and the contextual graph links each deal to the objections, competitors and wins behind it.

Two further features: you can build AI agents, such as a deal-risk analyzer, that run on every meeting, write back to CRM fields and post to Slack, with a preview run before going live. And Aria Live helps the rep privately during the call, so a pricing objection gets a sourced answer while the deal is still in play. Less suited: if your main need is commit calls and rollups across a very large org, a forecast-led tool is the more direct fit.

Two names you may see in older lists: Momentum is now part of Salesforce, and BoostUp now operates as Terret.

How do you roll out deal intelligence without adding admin?

1. Pick one methodology. Score every deal on the same framework, usually MEDDICC, so signals are comparable.

2. Define five risk signals. For example: no economic buyer met, champion silent for 14 days, close date pushed twice, competitor named, no next meeting booked.

3. Route alerts to owners. The rep sees their risks before the call; the manager gets a weekly digest.

4. Run reviews on evidence. Open each deal at the call moment behind its risk, not the rep's summary. Our guide to AI tools for pipeline reviews has a meeting agenda.

5. Close the loop with coaching. When the same gap shows up across deals, it is a skill gap, and it belongs in the coaching plan.

Where does Proshort fit, and where does it not?

Proshort fits teams that want deal intelligence to change the next conversation, not only the next forecast call. A manager can ask Ask Aria "Which deals need my attention today?" and get an answer with sources, or schedule it as a daily 8:00 email. Before a call, the rep can ask Aria for a brief on the deal; on the call, Aria surfaces the right answer; after it, the deal view updates. It connects to Salesforce, HubSpot and Microsoft Dynamics 365, and existing Gong or Chorus recordings migrate during onboarding.

Increff uses Proshort as its deal clarity engine. Kanika Bhalla, Chief Revenue Officer, said:

"The contextual insights it delivers are not only precise but also perfectly timed." Kanika Bhalla, Increff

Read how Proshort became Increff's deal clarity engine, or see how the Proshort deal agent works.

It is not the better choice for every team. When commit calls and multi-level rollups are the main need, Salesloft (with Clari Forecast) or Aviso fits more directly, and enterprises that mostly need activity capture across large buying groups may get more from Backstory.

Frequently asked questions

What is deal intelligence software?

Deal intelligence software analyzes calls, emails, meetings and CRM data to judge each open deal: its probability, its risks and the next best step. It replaces the rep's opinion with evidence, so managers can inspect deals and forecast with fewer surprises.

How does Gong's deal intelligence compare to Salesforce CRM forecasts?

A Salesforce forecast rolls up what reps entered in opportunity fields, and Pipeline Inspection adds Einstein deal insights and opportunity scores on top. Gong judges deals from captured conversations and activity. Many teams run both: the CRM stays the system of record and conversation evidence checks it.

Which deal intelligence tool is best for complex sales cycles?

Long cycles with large buying committees need multi-threading signals and methodology coverage per deal. Backstory and Gong are strong on captured activity and conversations, Salesloft and Aviso on forecast governance, and Proshort on evidence-based deal reviews plus help during the call.

Can deal intelligence surface gaps in rep skills and deal execution?

Yes. When the same gap, such as never reaching the economic buyer, appears across a rep's deals, it is a skill gap rather than bad luck. Proshort links those gaps to skill scores and role-play drills, so the fix happens in coaching.

Does deal intelligence work in real time?

Most tools analyze a deal after each call or email. A few also act during the conversation: Attention advertises real-time coaching during calls, and Proshort's Aria Live shows the rep a sourced answer privately during the call. Real-time help matters most when deals are lost on unanswered questions.

Next step: see your own pipeline scored on evidence on the deal and pipeline review page, or book a walkthrough.