Every rep question, answered. Cited, not improvised.
Reps ask about pricing, positioning against a competitor, or the right case study for a prospect's industry — and get an answer sourced straight from your content library in seconds, cited to the exact battlecard, deck, or pricing sheet it came from. No more guessing, no more waiting on sales ops mid-call.
Every answer cited to source. Built on Sphere AI Foundry.
Reps guess, or reps wait — neither closes deals
A rep on a live call gets asked about a discount floor, a competitor's weakness, or whether there's a case study in their prospect's vertical. Enablement content exists somewhere — a battlecard deck, a pricing wiki, last quarter's win — but finding the right answer means searching a shared drive or pinging sales ops and hoping someone answers before the call ends. Reps improvise instead, and improvised pricing and positioning cost deals and margin.
Question in, cited answer out
Four steps, every one logged and citable back to the source content.
Reads your enablement content directly from where it lives
Battlecards, pricing sheets, case studies, one-pagers, and playbooks — read from your enablement platform, CRM, and shared drive. No separate upload step, and it stays current as content changes.
Plain-language question, grounded answer
A rep asks in Slack or their deal workspace, in their own words — no keyword search required. The agent matches the question to the right source and returns the specific answer, not a linked document to go read.
No answer without a citation
Each pricing figure, positioning claim, or case study reference links back to the exact document and section it came from — the citation travels with the answer, not as a separate lookup.
One answer, or a clear escalation when it's a judgment call
The agent returns Answered, Answered-with-approval-needed, or Escalate to enablement, so reps know exactly when they can move and when they need a human sign-off.
10 fields, every one cited
What the agent returns with every answer it gives a rep.
Typical inputs
What the agent reads, and what it connects to.
Documents
- Battlecards and competitor positioning decks
- Pricing sheets, discount matrices, and approval policies
- Case studies, reference customer summaries, and win stories
- Sales playbooks and objection-handling guides
- Product one-pagers and release notes
- Call recordings and transcripts from won deals
Systems
- CRM (deal and account context)
- Sales enablement platform
- Content management system or shared drive
- Slack or the team's messaging platform
Is this the right fit?
Built for a growing team leaning on shared content — not a one-rep shop.
✓ Works best for
- Sales teams of 10+ reps drawing on a shared content library
- Orgs with pricing rules or approval thresholds reps need fast
- Enablement teams wanting visibility into what reps actually ask
Too small for
- A two-person founder-led sales motion that already knows the pricing by heart
- Replacing enablement's judgment on new positioning or messaging
- A content library that isn't maintained or hasn't been updated in years
Grounded in your approved content, not a black box
Compliance-first, the same standard every Sphere agent is held to.
The agent only answers from content enablement has approved and indexed — it will not improvise a pricing figure or a competitive claim that isn't sourced. Discount and approval decisions below a defined threshold are flagged for a deal desk or manager, never resolved silently by the agent.
The same audit-trail discipline applies across every regulated or high-stakes deployment — see how governed access and citation controls carry over in Governed AI for Banks and Private LLM Deployment for Banks and Financial Institutions.
Prerequisites indexed library
Battlecards, pricing, and case studies must be current and indexed before the agent will answer from them.
Human review required above threshold
Discount exceptions and new competitive claims route to a manager or deal desk before a rep repeats them.
Regulatory grounding source-cited
Every pricing and positioning answer cites the specific approved document it came from.
Foundation Sphere AI Foundry
Access controls and audit trail configured here carry forward to every other agent you deploy.
Frequently asked
Does the Sales Enablement Knowledge Agent replace our enablement team?
No. It replaces the manual lookup — digging through a battlecard deck or pinging sales ops on Slack mid-call. Enablement still owns the content, the pricing rules, and what goes into the library in the first place.
What content sources can it answer from?
Battlecards, pricing sheets, case studies, one-pagers, playbooks, and call recordings stored in your enablement platform, CRM, or shared drive. Additional sources can be added during onboarding.
How does it integrate with our CRM and sales tools?
It reads directly from your CRM, enablement platform, and content repository, and can surface answers inside Slack or your deal workspace. No separate upload step required. Integration scope is confirmed during deployment planning.
Is every answer traceable back to an approved source?
Yes. Every pricing figure, positioning claim, and case study reference cites the specific document and section it came from, so a rep can pull up the source before repeating it to a prospect.
How is this different from a generic chatbot on our wiki?
It's built specifically around a sales rep's real question pattern, pricing and discounting logic, and citation-first answers, not a general-purpose FAQ bot. It runs on Sphere AI Foundry, so the access controls and audit trail configured here carry forward to other agents you deploy.
See it answer your own rep questions
Bring three real questions your reps ask this week. We'll show the agent answer them live — cited to your own pricing sheets, battlecards, and case studies.
Talk to a solutions architect
Direct to a senior architect — never a sales queue. Replies within one business day.
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