Aviso

Name: Aviso
Brand: Aviso AI
Rating: 4.4 (975 reviews)

One Agentic AI platform to help modern GTM teams predict revenue, guide sellers, and simplify every revenue action.

Est 2014|Valuation $63M|Raised $31M|37 Ref Customers

LinkedIn 63K|Web traffic 30K|FTEs 369|HQ Redwood City, California, US

MarketsSales Forecasting

Published Oct 15, 2026

01Common complaints

1) If an organization needs a minimal, lightweight forecasting tool - When forecasting needs can be met with CRM reports and spreadsheets and there is limited RevOps capacity, the platform may provide more functionality than required. 2) If the primary requirement is a highly stable, low-friction user experience above all else - Multiple reviews reference bugs, slow performance, and UI inconsistency. If adoption depends on immediate, spreadsheet-like responsiveness and near-zero friction, consider vendors with a narrower scope or stronger reported UX reliability. 3) If the primary need is conversation intelligence only - Organizations focused mainly on call recording, coaching, and conversational analytics may prefer a conversation-intelligence-first product rather than a broader RO&I suite. 4) If transparent list pricing and rapid procurement are required - The vendor uses quote-based pricing. Organizations that require public list pricing or very short buying cycles may find other vendors easier to procure. Sources: Review platform feedback and vendor pricing page.

Deal disqualifiers (poor fit)

Small teams that need a lightweight forecasting approach and lack RevOps resources
Organizations that require transparent, self-serve list pricing
Organizations with low tolerance for performance issues or system instability, based on review risk factors

Known issues surfaced in reviews

Slow performance and slow loading reported by some reviewers
Bugs that require manual workarounds
Dashboard customization that may not persist according to some reports
CRM sync or save behavior frustrations (intermittent updates reported)
Customer success manager turnover and variable support responsiveness reported

Sources: Review platform excerpts.

Vendor-acknowledged limitations and recommended buyer actions

The vendor emphasizes ongoing product innovation, including automated AI workflows; however, public roadmap details and GA vs. beta designations were not fully documented in the materials reviewed.
Recommendation: Request a formal product roadmap, identify GA vs. beta features, and require references and pilot validation for integrations and performance-sensitive workflows.

Sources: Vendor product messaging and public materials.

02Why they buy

Vendor-noted unique selling points with available evidence

Consumption forecasting that integrates data warehouse signals with CRM and activity data: This capability is emphasized in vendor materials and case studies.
Broad RO&I coverage combining forecasting, pipeline inspection, conversation intelligence, and vendor-described automated AI workflows.

Sources: Vendor product pages and case materials.

Claims that require validation

Vendor-published accuracy and productivity figures (for example, near-100% accuracy claims and large per-rep time-savings) should be validated during procurement. The vendor notes that some KPI summaries are calculated across customers with at least one year on the platform, but detailed methodology and baselines are generally not published.

Sources: Vendor marketing materials and KPI summaries.

03Field reports

Review platform sentiment snapshot

G2: well rated on G2.
Capterra: well rated on Capterra.

Representative positive review excerpts

From Capterra:

"It has significantly sped up the time for me to review and update my opportunities..." (5-star excerpt shown on the review listing)
"The dashboards and intelligent forecasting tools are primary motivations for adopting the product." (review excerpt)

Pros cited in reviews include easier aggregation of opportunity information and integration with Salesforce.

Representative negative / critical review excerpts

From Capterra:

Reports of UI bugs leading to manual effort, inconsistencies where forecast rollups do not reflect deal-level changes, and slow performance.

From G2:

Reports noting slower-than-expected support response times, customer success manager turnover, and a reported incident where enabling a feature caused data loss.

Common themes: why customers choose the vendor

Recurring selection drivers in vendor materials and reviews include:

Salesforce integration and the ability to aggregate and mass-update pipeline data
Forecast rollups and visibility across hierarchies
Interest in AI scoring and risk signals
For usage-based businesses, the ability to incorporate non-CRM consumption signals (for example, data warehouse metrics)

Reasons for dissatisfaction and churn drivers

Observed dissatisfaction drivers that can lead to churn include:

Reported bugs and performance issues that reduce perceived reliability
CRM sync delays and inconsistencies
Support responsiveness and continuity challenges

Deal-breakers noted by prospects

Examples from review comments and buyer feedback include:

Financial constraints preventing purchase after trial
If forecast outputs require frequent manual reconciliation due to system issues, perceived ROI can be reduced

Case study: a large software customer (consumption-based revenue forecasting)

What the vendor claims: - A large software customer selected the vendor for consumption and revenue forecasting that integrates data warehouse signals. - The case material reports very high accuracy for a single quarter's consumption forecast. Critical evaluation: - This is vendor-published material and does not disclose full methodology details (time period, error metric definitions, cohort selection, baseline comparisons, or whether results persisted across multiple periods). - Buyers should request detailed methodology, definitions of accuracy metrics (MAPE, WAPE, absolute error, etc.), the role of human overrides, and evidence of stability across multiple reporting periods.

Press claim: vendor-reported bake-off accuracy

Vendor press materials report bake-off results indicating small accuracy deltas in a comparative exercise. This is a vendor PR announcement; the bake-off design, comparator details, and independent verification are not publicly available. It should be treated as directional evidence that requires validation in procurement.

04Best fit

Company size

Typical fit signals:

Mid-market to enterprise organizations with formal forecasting processes.

Industries / verticals

Customer references and press materials indicate fit for:

B2B software/technology and enterprise IT
Organizations with complex sales cycles and heavy CRM usage
Usage-based or consumption models that benefit from data warehouse signals

Roles and personas

Economic buyers: CRO, CFO, COO, CIO/CTO (for data/security-sensitive evaluations)
Champions: Head of RevOps, Sales Ops, Revenue Intelligence owners
End users: Sales managers, sales reps, and CS leaders when renewal/health-scoring modules are used

Qualification criteria (good fit)

Organization runs Salesforce (or another CRM) and wants improved forecasting governance
Sufficient data maturity to feed models (clean CRM, activity signals, and possibly warehouse feeds)
Willingness to invest in implementation, training, and process alignment

05The pitch

What the product does (objective value proposition)

Aviso is a B2B Revenue Operations & Intelligence (RO&I) platform described by the vendor as an AI-driven revenue intelligence and revenue operations system. The platform provides modules and features for: - Forecasting and pipeline inspection (multi-level rollups, scoring, risk signals) - Deal and opportunity management (deal health indicators, suggested actions) - Conversation intelligence (call/meeting insights and coaching support) - Activity and relationship intelligence (email/calendar/activity signals) - Vendor-described multi-step/automated AI workflows and coverage spanning lead-to-renewal In practical buyer terms, Aviso is positioned as a consolidated RO&I suite comparable to solutions from other vendors (for example, Clari, Gong, and People.ai) and is aimed at improving forecast accuracy, surfacing deal risk, and reducing manual CRM/admin tasks. Primary user personas: CRO/CFO, RevOps leaders, Sales Leaders, Sales Managers, and field representatives responsible for pipeline management and forecasting.

Target market and positioning

Target: Mid-market to enterprise B2B revenue organizations (often Salesforce-centric), including companies with complex hierarchies and frequent forecasting cadences.
Positioning theme: Vendor presents the product as a centralized interface intended to reduce the number of separate tools and connect insights to actions, including automated AI-driven workflows.

Get a comprehensive analysis of Aviso including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →

Published Oct 15, 2026

01Common complaints

If an organization needs a minimal, lightweight forecasting tool

When forecasting needs can be met with CRM reports and spreadsheets and there is limited RevOps capacity, the platform may provide more functionality than required.

If the primary requirement is a highly stable, low-friction user experience above all else

Multiple reviews reference bugs, slow performance, and UI inconsistency. If adoption depends on immediate, spreadsheet-like responsiveness and near-zero friction, consider vendors with a narrower scope or stronger reported UX reliability.

If the primary need is conversation intelligence only

Organizations focused mainly on call recording, coaching, and conversational analytics may prefer a conversation-intelligence-first product rather than a broader RO&I suite.

If transparent list pricing and rapid procurement are required

The vendor uses quote-based pricing. Organizations that require public list pricing or very short buying cycles may find other vendors easier to procure.

Sources: Review platform feedback and vendor pricing page.

Deal disqualifiers (poor fit)

Small teams that need a lightweight forecasting approach and lack RevOps resources
Organizations that require transparent, self-serve list pricing
Organizations with low tolerance for performance issues or system instability, based on review risk factors

Known issues surfaced in reviews

Slow performance and slow loading reported by some reviewers
Bugs that require manual workarounds
Dashboard customization that may not persist according to some reports
CRM sync or save behavior frustrations (intermittent updates reported)
Customer success manager turnover and variable support responsiveness reported

Sources: Review platform excerpts.

Vendor-acknowledged limitations and recommended buyer actions

The vendor emphasizes ongoing product innovation, including automated AI workflows; however, public roadmap details and GA vs. beta designations were not fully documented in the materials reviewed.
Recommendation: Request a formal product roadmap, identify GA vs. beta features, and require references and pilot validation for integrations and performance-sensitive workflows.

Sources: Vendor product messaging and public materials.

02Why they buy

Vendor-noted unique selling points with available evidence

Consumption forecasting that integrates data warehouse signals with CRM and activity data: This capability is emphasized in vendor materials and case studies.
Broad RO&I coverage combining forecasting, pipeline inspection, conversation intelligence, and vendor-described automated AI workflows.

Sources: Vendor product pages and case materials.

Claims that require validation

Vendor-published accuracy and productivity figures (for example, near-100% accuracy claims and large per-rep time-savings) should be validated during procurement. The vendor notes that some KPI summaries are calculated across customers with at least one year on the platform, but detailed methodology and baselines are generally not published.

Sources: Vendor marketing materials and KPI summaries.

03Field reports

Review platform sentiment snapshot

G2: well rated on G2.
Capterra: well rated on Capterra.

Representative positive review excerpts

From Capterra:

"It has significantly sped up the time for me to review and update my opportunities..." (5-star excerpt shown on the review listing)
"The dashboards and intelligent forecasting tools are primary motivations for adopting the product." (review excerpt)

Pros cited in reviews include easier aggregation of opportunity information and integration with Salesforce.

Representative negative / critical review excerpts

From Capterra:

Reports of UI bugs leading to manual effort, inconsistencies where forecast rollups do not reflect deal-level changes, and slow performance.

From G2:

Reports noting slower-than-expected support response times, customer success manager turnover, and a reported incident where enabling a feature caused data loss.

Common themes: why customers choose the vendor

Recurring selection drivers in vendor materials and reviews include:

Salesforce integration and the ability to aggregate and mass-update pipeline data
Forecast rollups and visibility across hierarchies
Interest in AI scoring and risk signals
For usage-based businesses, the ability to incorporate non-CRM consumption signals (for example, data warehouse metrics)

Reasons for dissatisfaction and churn drivers

Observed dissatisfaction drivers that can lead to churn include:

Reported bugs and performance issues that reduce perceived reliability
CRM sync delays and inconsistencies
Support responsiveness and continuity challenges

Deal-breakers noted by prospects

Examples from review comments and buyer feedback include:

Financial constraints preventing purchase after trial
If forecast outputs require frequent manual reconciliation due to system issues, perceived ROI can be reduced

Case study: a large software customer (consumption-based revenue forecasting)

What the vendor claims:

A large software customer selected the vendor for consumption and revenue forecasting that integrates data warehouse signals.
The case material reports very high accuracy for a single quarter's consumption forecast.

Critical evaluation:

This is vendor-published material and does not disclose full methodology details (time period, error metric definitions, cohort selection, baseline comparisons, or whether results persisted across multiple periods).
Buyers should request detailed methodology, definitions of accuracy metrics (MAPE, WAPE, absolute error, etc.), the role of human overrides, and evidence of stability across multiple reporting periods.

Press claim: vendor-reported bake-off accuracy

04Best fit

Company size

Typical fit signals:

Mid-market to enterprise organizations with formal forecasting processes.

Industries / verticals

Customer references and press materials indicate fit for:

B2B software/technology and enterprise IT
Organizations with complex sales cycles and heavy CRM usage
Usage-based or consumption models that benefit from data warehouse signals

Roles and personas

Economic buyers: CRO, CFO, COO, CIO/CTO (for data/security-sensitive evaluations)
Champions: Head of RevOps, Sales Ops, Revenue Intelligence owners
End users: Sales managers, sales reps, and CS leaders when renewal/health-scoring modules are used

Qualification criteria (good fit)

Organization runs Salesforce (or another CRM) and wants improved forecasting governance
Sufficient data maturity to feed models (clean CRM, activity signals, and possibly warehouse feeds)
Willingness to invest in implementation, training, and process alignment

05The pitch

What the product does (objective value proposition)

Forecasting and pipeline inspection (multi-level rollups, scoring, risk signals)
Deal and opportunity management (deal health indicators, suggested actions)
Conversation intelligence (call/meeting insights and coaching support)
Activity and relationship intelligence (email/calendar/activity signals)
Vendor-described multi-step/automated AI workflows and coverage spanning lead-to-renewal

In practical buyer terms, Aviso is positioned as a consolidated RO&I suite comparable to solutions from other vendors (for example, Clari, Gong, and People.ai) and is aimed at improving forecast accuracy, surfacing deal risk, and reducing manual CRM/admin tasks.

Primary user personas: CRO/CFO, RevOps leaders, Sales Leaders, Sales Managers, and field representatives responsible for pipeline management and forecasting.

Target market and positioning

Target: Mid-market to enterprise B2B revenue organizations (often Salesforce-centric), including companies with complex hierarchies and frequent forecasting cadences.
Positioning theme: Vendor presents the product as a centralized interface intended to reduce the number of separate tools and connect insights to actions, including automated AI-driven workflows.

Get a comprehensive analysis of Aviso including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →