New · SalesCross-functional
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.
enablement_query — rep #R-2290LIVE
00:00Query → "Discount floor for a 3-year deal, mid-market?"read
00:02Retrieve → Q3 pricing sheet, discount matrix v4passed
00:04Cross-check → approval threshold requires VP sign-offflagged
00:06Case study match → mid-market logistics win, similar ACVpassed
00:07Answer → cited to pricing sheet + approval policysealed
answer time 7ssources cited 3/3escalation flagged yes
Organizations around the world trust us
Built on Sphere AI Foundry·Answers cited to source, every time·21 years, 300+ clients
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.
7s
average answer time on a rep question
89%
fewer sales-ops pings for content lookups
100%
of answers cited to an approved source
Question in, cited answer out
Four steps, every one logged and citable back to the source content.
01
Index
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.
Source library
Content indexed this week
02
Answer the rep's question
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.
Example query
"What do we say when they bring up [Competitor] on implementation speed?"
03
Cite every answer
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.
Cited answer
Standard discount floor for a 3-year mid-market term is 18%; anything below requires VP approval.
cited to Pricing Matrix v4, Discount Policy §204
Flag & escalate
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.
Response status
AnsweredApproval needed ✓Escalate
10 fields, every one cited
What the agent returns with every answer it gives a rep.
Direct answer to the rep's question
Source document and section citation
Pricing tier and discount-floor lookup
Competitor positioning and objection response
Matched case study by industry and deal size
Approval-required flag
Content freshness date
Suggested follow-up talking point
Escalation routing to enablement or deal desk
Query log for enablement content gaps
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.
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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Start here
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.
Looking for a different workflow? Browse the full Agent Catalog.
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