01
Connect your deal stack
CRM, calendar, Gong, Slack, proposal history, and knowledge base feed the agent with deal context.
AI Sales Agent
Every rep prepared. Every call coached.
Give reps the account context, approved answers, and next-step drafts they need before, during, and after every customer call.
Built for enterprise sales teams in financial services, healthcare, and technology.
Pre-call brief from deal context
CRMOpportunity record
CallsLast 3 recordings
ProposalsActive RFP
Meeting in 18 min: Discovery call with Sarah M. at Orion Tech — expansion deal, $420K ARR
Their Q4 goal is cross-team coordination. Last call surfaced procurement concerns about data residency. Competitor Loopio was mentioned. Lead with our EU hosting + audit trail story.
Gong call #47
Salesforce opp
Competitive deck
FrameworkMEDDIC
StageDiscovery
RiskCompetitor active
Prep Time Saved
45 min → 2 min per call
CRM Accuracy
Auto-logged, zero rep entry
Follow-Up Speed
Sent within 4 hours, not days
Security
SOC 2 Type II certified
Prep that follows the deal
Every call starts with the context reps usually scramble to find.
Tribble pulls CRM records, prior calls, active proposals, and competitive intelligence into one brief. Reps see what matters, approve the follow-up, and keep the deal record current without rebuilding context by hand.
Where reps get time back
Reps should not spend the morning assembling context.
Tribble gives the team a cleaner path from call prep to follow-up, so sales time goes into the conversation instead of the CRM scavenger hunt.
-
Reps stop walking into calls cold.
Auto-generated briefs cover the buyer, their pain, prior interactions, active proposals, competitive context, and suggested talk tracks.
-
Managers stop reviewing call recordings after the fact.
Live coaching surfaces the right question, competitive response, or objection handle during the conversation — not in a retroactive review.
-
Ops stops chasing reps for CRM hygiene.
Post-call automation updates fields, drafts follow-ups, assigns action items, and pushes deal intelligence back into the shared knowledge.
Before, during, after
From calendar event to closed-loop deal intelligence.
The agent works from deal context, methodology, buyer history, and approved knowledge, not just the call transcript.
02
Receive pre-call briefs
Before every meeting, reps get a structured brief: buyer background, pain points, win themes, competitive risks, and a suggested opener.
03
Get live coaching
During the call, framework-aligned prompts surface relevant questions, objection responses, and competitive positioning.
04
Approve post-call actions
CRM fields updated, follow-up emails drafted, action items assigned. The rep approves — not types. Deal insights feed back into the shared knowledge.
"I need to know what they care about, what we said last time, and what our competitor just told them — before I pick up the phone."
What every enterprise AE is really asking forCalls should not disappear
Sales conversations feed proposals. Proposals feed the next call.
Buyer objections, requirements, and competitive notes become reusable context for the next proposal, security review, and sales conversation.
RFP Automation
Call insights strengthen proposal drafts.
Competitive objections, buyer requirements, and deal context from conversations flow into proposal responses.
- Proposal teams
- Sales engineering
- Revenue operations
AI Knowledge Base
Reps ask questions. Get sourced answers instantly.
The same governed knowledge that powers proposals is available to reps in Slack, Teams, and during calls.
- Sales reps
- Sales engineers
- Customer success
Security Questionnaires
Deal blockers cleared faster with sourced security answers.
When a call surfaces a security concern, Tribble already has the approved answer and evidence.
- Security teams
- Sales engineering
- Enterprise sales
Deal data stays controlled
Deal intelligence with the same trust model as your proposals.
Call recordings, CRM data, and competitive intelligence stay governed. The AI Sales Agent operates within the same permission, audit, and model policy framework as the full platform.
Salesforce
HubSpot
Gong
Clari
Slack
Microsoft Teams
Google Calendar
Outlook
Deal Context
Briefs cite what informed them.
Reps can see which CRM records, calls, and documents shaped the pre-call brief.
Permissions
Access rules carry through.
Competitive intelligence and deal data respect role-based access controls.
Approval
Reps approve before it sends.
Follow-up emails, CRM updates, and action items require rep confirmation before execution.
Model Policy
No training on your calls.
Call recordings and deal data are not used to train shared models.
Find the admin drag
Measure the cost of unprepared calls and manual follow-up.
Estimate how many hours your team loses to call prep, CRM updates, follow-up drafting, and internal handoffs.
See the selling time your team is losing to admin.
Estimate time recovered from automated prep, post-call CRM updates, and follow-up drafting, then decide whether sales agents should connect into proposals and the knowledge base.
Calculate sales agent ROI
Rep count
How many AEs, SEs, or account managers run external calls.
Weekly calls per rep
Discovery, demo, negotiation, and QBR meetings.
Prep time per call
Minutes spent hunting CRM, reading transcripts, and building context.
Post-call admin
CRM updates, follow-up emails, action items, and internal handoffs.
Coaching by market
The same agent adapts to different selling environments.
Enterprise sales in regulated industries needs more than generic call notes. The AI Sales Agent carries industry-specific knowledge into every conversation.
01
Financial Services
Relationship managers prepared with fund, product, and compliance context.
For advisors, RMs, and sales teams handling investor conversations, product approvals, and regulated client meetings.
02
Healthcare
Account teams coached on clinical, compliance, and health system procurement language.
For teams selling into health systems where HIPAA, clinical workflows, and procurement cycles shape every conversation.
03
Enterprise Tech
Technical sales teams armed with architecture, security, and competitive context.
For SEs and AEs handling technical evaluations, security reviews, and multi-stakeholder enterprise deals.
Build the sales case
Guides for teams turning calls into deal intelligence.
Choose the right agent
Best AI sales agent software in 2026
Compare the tools teams use for pre-call briefs, live coaching, CRM updates, and follow-up automation.
Clean up follow-up
AI meeting notes and action items for enterprise.
Turn meeting notes, action items, and next steps into a cleaner sales workflow after every call.
Estimate savings
Show the hours lost to sales admin.
Estimate the time recovered when prep, CRM updates, and follow-up drafts stop eating the week.
Before rollout
Questions buyers ask before they trust an AI sales agent.
Is this replacing my conversation intelligence tool?
No. The AI Sales Agent connects to Gong and other CI tools. It adds pre-call intelligence, live coaching, and automated follow-up on top of what conversation intelligence already captures.
Can reps override or edit what the agent generates?
Yes. Every post-call output — CRM updates, follow-up emails, action items — requires rep approval before execution. The agent drafts; the rep decides.
How does it know what to coach on?
It uses your configured methodology (MEDDIC, SPIN, Challenger, or custom), the deal stage, buyer signals from prior calls, and competitive intelligence from your company knowledge.
Does it work for technical sales and SEs?
Yes. Technical sales briefs include architecture context, prior security questionnaire answers, product capabilities, and competitive differentiation relevant to the evaluation.
Use an upcoming call
Bring a real meeting. We will show the brief the agent builds.
Pick an upcoming call. We will pull the deal context, generate the pre-call brief, and show how post-call automation works on your data.
Book a demo