Insight needs a middleman
Even a simple question becomes a data-pull request. The marketer who needs the answer cannot get it themselves, so the team runs on stale reports.
Wave · AI Layer
The first marketing platform you can just ask.
You have all the data and still cannot get an answer without a RevOps ticket or an analyst running a report. Wave's AI Layer lets any operator type a plain-English question and get a structured answer from live data in seconds, tenant-isolated by row-level security and fully audited.
Quick answer
Ask Wave is the natural-language layer of the Wave platform. An operator types a plain-English question and Wave returns a structured answer drawn from live contact, engagement, and content data, with no SQL and no BI tool. It also runs a nightly sweep that surfaces anomalies, explains any prediction in one sentence, and answers content-coverage questions. Every query is tenant-isolated and audited.
Key capabilities
- Plain-English questions answered from live data
- Multi-step reasoning across products
- Tenant isolation enforced by row-level security
- Nightly AI Observations as console cards
- One-sentence explanation for every prediction
- Content gap question answering
- Per-operator daily query cap
- Full prompt and response audit trail
Last updated July 2026
The problem
All the data, and still no answer without a ticket.
The most common complaint from B2B marketing leaders is that their stack generates data they cannot question. Getting an answer means filing a RevOps ticket or waiting for an analyst, and the moment to act has often passed by the time the report lands.
Dashboards show, they do not answer
A dashboard tells you a number, but not which contacts engaged with security content and were never seated in a committee. That is a query, not a chart.
Black-box predictions erode trust
When a model says LinkedIn paid with no reason, reps and leaders discount it. A prediction nobody can explain is a prediction nobody acts on.
How Wave does it
Ask, observe, explain, all from your live tenant data.
Wave's AI Layer sits across the platform's prediction products and turns the operator console into a place you question, not just consult, with tenant isolation enforced at the database, not the prompt.
- 01
Ask in plain English
The operator types a question and Wave's multi-step reasoning engine runs it against a read-only tool set over live data, combining signals across multiple products in a single answer when needed.
- 02
Enforce isolation at the database
Every tool call runs inside a tenant-scoped session and never receives a tenant identifier as input. It is architecturally impossible for a query to reach another customer's data, even if the question is adversarially crafted.
- 03
Surface anomalies nightly
Each night Wave sweeps your data and surfaces findings as console cards, like hidden pipeline your team has not seated yet, so problems and opportunities find you before you go looking.
- 04
Explain every prediction
Wave narrates any current prediction into one readable sentence, pre-extracting the few signal fields that drove it so a rep gets the why, not just the what, with no data-science translation.
Where it fits
A layer across Wave's prediction products.
Ask Wave reaches across multiple products, including Channel Affinity, Engagement Channel, Buying Groups, and Cadence Affinity, so a single question can join content, channel, committee, and timing signals at once.
Your question
Wave
Structured answer
Wave runs each query against your live tenant data through a read-only tool set, with isolation enforced by row-level security at the database layer rather than in the prompt. Every query, prompt and response, is captured in Wave's audit log with sensitive values redacted, the same compliance posture as the extraction pipeline. A per-operator daily query cap keeps usage bounded, and each phase carries its own kill switch.
Works alongside Channel Affinity, Buying Groups, The full Wave platform.
Why Wave is different
A genuine query engine, not a chatbot on a dashboard.
Most platforms built their AI around predictions and bolted a chat box onto a dashboard. Wave exposes a real reasoning engine over your live data, with isolation and audit built into the architecture.
Most tools
Wave
Answering a real question requires a data analyst or a RevOps ticket.
An operator types the question and Wave answers from live data in seconds, no SQL.
A chatbot summarizes a dashboard it was handed.
Wave's multi-step engine reaches into your actual contact and engagement data and reasons across products.
You only learn what you thought to ask.
Wave runs a nightly sweep and surfaces anomalies as cards, the questions you forgot to ask.
Predictions arrive as a black box.
Wave narrates every prediction in one plain-English sentence a rep can read.
FAQ
Questions buyers ask about Ask Wave.
What is Ask Wave?
Ask Wave is the natural-language layer of the Wave platform. An operator types a plain-English question and Wave returns a structured answer drawn from live contact, engagement, and content data, with no SQL and no BI tool. It also surfaces anomalies nightly, explains any prediction, and answers content-coverage questions.
Do I need to know SQL or use a BI tool?
No. You type the question the way you would say it to a colleague. Wave's reasoning engine runs a read-only tool set against your live data and returns the answer. There is no query language to learn, no data warehouse to connect, and no third-party BI tool to maintain.
Is it just a chatbot on top of a dashboard?
No. Wave runs a multi-step reasoning loop that can combine data across multiple products in one answer, for example joining buying-group curriculum data with channel predictions. It reaches into your actual data through real tools rather than summarizing a static dashboard.
How is my data kept separate from other customers?
Tenant isolation is enforced at the database with row-level security, not in the prompt. Every tool call runs inside a tenant-scoped session and never receives a tenant identifier as input, so it is architecturally impossible for a query to reach another customer's data, even if the question is crafted to try.
What are AI Observations?
Every night Wave sweeps your data and surfaces findings as cards in the console, with no query required. Nightly findings Wave raises on its own, like engaged contacts your team has not yet seated in any buying group, which is hidden pipeline, or an integration that needs attention. Issues surface early without a dashboard vigil, and the set of observations grows over time.
Can Wave explain why it made a prediction?
Yes. Wave narrates any current prediction into one readable sentence, for example why a person's predicted promotional channel is LinkedIn paid based on their recent inbound touches. It pre-extracts the few signal fields that drove the result before generating the explanation, so the output is grounded and safe to share with a rep.
Is there a limit on how much I can ask?
A per-operator daily cap keeps usage bounded, and you can configure it per tenant. Every query, prompt and response, is captured in Wave's audit log with sensitive values redacted, and each AI phase carries its own kill switch for control.
How do I try Ask Wave on my own data?
Book a 20-minute walkthrough. We will configure a tenant against your stack and show you plain-English questions answered from your real contact and engagement data, plus the nightly observations and prediction explanations Wave would produce.
See it on your data
Ask your live data a question and get an answer in seconds.
Book a 20-minute walkthrough. We will run Ask Wave against your stack and show you plain-English answers, nightly observations, and prediction explanations on your real data.
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