Ask any question about your customers and get a cited answer
Query every sales call, support ticket, and CRM note in plain English. Get data-grounded answers with citations to the exact source.
Budget freeze is the primary blocker, not product fit. 73% of stalled enterprise deals cite internal budget reallocation. Here's the breakdown:
Budget freeze is the #1 blocker
Concentrated in accounts with renewal dates in Q3. CFO-level freezes on net-new vendor spend above $100K.
Migration cost concerns surface in 12 of 38 stalled deals
Buyers want a managed cutover plan and a fixed-price quote. Existing playbook is Lattice case study.
- Which 38 accounts are affected?
- What did finance say in last week's calls?
- Show me Q3 renewal exposure by segment
- Compare to Q4 last year
The problem
Most marketing teams understand their customers through secondhand summaries. A PM shares a highlight reel from last quarter. A sales rep mentions a pattern they noticed. The CEO forwards a Slack message from one loud account. None of it is systematic. The real signal lives inside thousands of recorded calls, support threads, and CRM notes that nobody has time to read. So marketers build campaigns on anecdotal evidence and gut feel. When leadership asks "why are enterprise deals stalling?" or "what do mid-market buyers care about most?", the honest answer is usually "we think we know, but we haven't actually checked." The data exists. It is just trapped in tools that were built for logging, not for learning.
How Amdahl solves it
Amdahl ingests your full corpus of customer conversations from Gong, Fathom, Chorus, Circleback, Intercom, Zendesk, HubSpot, and Salesforce. Every call, ticket, and note is indexed and searchable. You ask a question in plain English. Amdahl searches the entire library, clusters the relevant moments, and returns an answer with inline citations to the exact call, speaker, and timestamp. Supporting data points like deal counts, segment breakdowns, and trend lines are surfaced alongside the narrative. The result reads like a research brief written by an analyst who has listened to every call your company has ever recorded. Except it takes seconds instead of weeks, and every claim links back to a verifiable source.
What we offer
Natural language answers with inline citations to specific calls and tickets
Stat breakdowns by segment, persona, deal stage, or time period
Insight cards highlighting high-confidence patterns with severity and source attribution
Exportable research briefs for sharing with leadership or cross-functional teams
Trend analysis showing how customer sentiment shifts quarter over quarter
Reusable saved queries that auto-refresh as new data lands
Workflow
- Step 01
Connect your data sources
Link Gong, Fathom, Chorus, Circleback, Intercom, Zendesk, HubSpot, or Salesforce. Amdahl ingests your back catalog and syncs continuously as new conversations arrive.
- Step 02
Ask a question in plain English
Type any question about your customers. Filter by segment, persona, deal stage, or time range if you want to narrow the scope.
- Step 03
Review the cited answer
Amdahl returns a narrative answer with inline citations to the exact calls and tickets that support each claim. Click any citation to jump to the source.
- Step 04
Share or act on the findings
Export the insight as a research brief, share it with your team, or use it as the foundation for a campaign, positioning doc, or executive update.
Frequently asked
- What kinds of questions can I ask?
- Anything about your customers that the data can answer. Common questions include why deals stall at a specific stage, which objections come up most in a segment, what features mid-market buyers ask about on first calls, or how customer sentiment has shifted since a product launch. Amdahl searches across all connected sources, so the question does not need to be scoped to a single tool. If the answer involves data from both Gong calls and Zendesk tickets, Amdahl will pull from both.
- How does citation work?
- Every claim in the response links to the specific call, ticket, or CRM record it came from. For call data, the citation includes the speaker name, timestamp, and a link to the moment in your recording platform. For tickets, it links to the thread. For CRM data, it links to the record or report. If Amdahl cannot find evidence for a claim, it does not make the claim.
- Can I filter by segment or deal stage?
- Yes. Amdahl joins CRM context from HubSpot or Salesforce to your conversation data. You can scope any question to a specific industry, company size, deal stage, region, or named account list. This keeps answers precise instead of blending signal from your entire customer base into one averaged-out response.
- How current is the data?
- Amdahl syncs continuously. New calls, tickets, and CRM updates are indexed within minutes of landing in your connected tools. You are always querying the latest data, not a stale snapshot from last quarter.
- Is this different from searching in Gong or my CRM directly?
- Gong and CRM search tools let you find specific calls or records by keyword. Amdahl lets you ask questions across all your data sources at once and get synthesized answers. Instead of reading twenty call snippets and drawing your own conclusion, Amdahl does the synthesis and shows you the evidence it used. It is the difference between a search engine and a research analyst.
See this use case running on your own customer conversations.