AI Agents for Enterprise Account Management
AI Agents for Enterprise Account Management
AI Agents that learn your playbooks and execute on behalf of your team
AI Agents that learn your playbooks and execute on behalf of your team

Better Service

Better Service

Lower Cost

Lower Cost

Operate at Scale

Operate at Scale
Trusted by big brands around the world


Feautures
Feautures
From Insights to Actions
From Insights to Actions
Integrates with your workspace, CRM, and product data
Auto-sync summaries, action items, and insights directly to your CRM.
Auto-create action items, track, and surface commitments across teams.
Complete build-out and launch of all pending manual keyword-harvested Walmart campaigns
Harvest search-term data from auto campaigns. Create manual campaigns per category. Apply conservative CPC bids for non-WFS SKUs. Activate and validate impressions.
Manual campaigns not launched — risking delayed optimization of the $1.5K launch budget.
Live manual keyword campaigns for all active SKUs with spend tracking and CPC caps applied.
Walk into every conversation knowing what happened, what matters, and what's next.
QBR — Acme Corp
Tomorrow · 10:00 am · 4 attendeesInsights summary: Partnership momentum remains highly positive but recent system disruptions are causing operational blindspots. Recording engine dropouts, incomplete onboarding tracks, and unassigned API tokens require active intervention before initiating late-stage Q4 renewal negotiations.
Tailored to your workflows, and success metrics - so every insight actually matters.
AI Engine
Break down every conversation by topic - with speaker attribution, context, and multimodal intelligence.
- •CPU/memory spikes observed during peak usage hours
- •Instance upgrade recommended from t3.medium to t3.large
Auto-monitor and flag compliance with your customer-facing processes and workflows.
The team opened critical security and module fixes, migrated servers to 4-core instances to stabilize CPU/memory, and planned concurrency tests. A 92% CLIP slide-detection model was adopted while Epics 2/3 evolve, and ViT-based transfer learning shows promise. Debate over LLM vs. CNN approaches underscored the need for objective accuracy metrics. Finally, a relabeling and filtration pipeline will clean ground-truth data, prioritizing medium-difficulty cases.
Regional stakeholder metrics were skipped due to incomplete telemetry data maps from EU West data availability zones.
- 1.Review of last meeting's action items (server metrics comparison, security vulnerabilities, dtech module fixes)
- 2.Server performance & scaling decisions (CPU/memory spikes, instance upgrade criteria checklists)
- 3.Slide-vs-Non-Slide detection results and roadmap (Clip model 92% accuracy, dtech module fixes)
- 4.Review of last meeting's action items (server metrics comparison, security vulnerabilities, dtech module fixes)
- 5.Model experimentation debate (CNN/transfer-learning vs small-LLM vs heuristic image features; need measurable)
Get up to speed on any account in 7 seconds
Ask your digital assistant anything about your client/portfolio
AI-unified · Always-on
HOW IT WORKS
Value in 30 days. Not 6 months.
Step 1

Connect
DAY 1
Calls, email, CRM, meetings - connected in hours. No new workflows. No retraining your team. It just works.
Step 1

Connect
DAY 1
Calls, email, CRM, meetings - connected in hours. No new workflows. No retraining your team. It just works.
Step 1

Connect
DAY 1
Calls, email, CRM, meetings - connected in hours. No new workflows. No retraining your team. It just works.
Step 2

Analyze
DAY 1-7
Trained on your domain. Tuned to your playbook. Built around your process.
Step 2

Analyze
DAY 1-7
Trained on your domain. Tuned to your playbook. Built around your process.
Step 2

Analyze
DAY 1-7
Trained on your domain. Tuned to your playbook. Built around your process.
Step 3

Execute
DAY 8+
Every signal becomes an action - with an owner and a deadline. Your team knows exactly what to do, and you know if it got done.
Step 3

Execute
DAY 8+
Every signal becomes an action - with an owner and a deadline. Your team knows exactly what to do, and you know if it got done.
Step 3

Execute
DAY 8+
Every signal becomes an action - with an owner and a deadline. Your team knows exactly what to do, and you know if it got done.
WORKS WITH YOUR EXISTING STACK
Salesforce
Hubspot
Zoom
Gong
Gmail
Slack
Microsoft Teams

















THE DIFFERENTIATOR
7thGear’s Value Proposition
7thGear’s Value Proposition
7thGear’s Value Proposition
ROI -> Revnue Growth & Retention
LEADERSHIP

>80%
accuracy in churn flags
Know which accounts will churn before they do
90+
days early churn identification
Enough runway to actually do something about it
21s
to generate an exec-ready account brief
Walk into every QBR fully prepared
ROI -> Revnue Growth & Retention
LEADERSHIP

>80%
accuracy in churn flags
Know which accounts will churn before they do
90+
days early churn identification
Enough runway to actually do something about it
21s
to generate an exec-ready account brief
Walk into every QBR fully prepared
ROI -> Team Performance & Coaching
MID MANAGER

100%
of calls analyzed vs. <10% today
Real coaching data, not random sampling
6
fewer status meetings per week
Systems pull the updates. You drive outcomes
0
missed playbook violations
Every skip flagged. Every gap closed
ROI -> Team Performance & Coaching
MID MANAGER

100%
of calls analyzed vs. <10% today
Real coaching data, not random sampling
6
fewer status meetings per week
Systems pull the updates. You drive outcomes
0
missed playbook violations
Every skip flagged. Every gap closed
ROI -> Productivity & Capacity
FRONTLINE

20+
hours saved per rep per week on admin
Back to customers, not paperwork
40%
more accounts manageable per rep
Scale the team without scalling headcount
5hrs
of meeting per eleminated per week
Brief auto-generated. Walk in prepared
ROI -> Productivity & Capacity
FRONTLINE

20+
hours saved per rep per week on admin
Back to customers, not paperwork
40%
more accounts manageable per rep
Scale the team without scalling headcount
5hrs
of meeting per eleminated per week
Brief auto-generated. Walk in prepared
CUSTOMER QUOTES
What Our Clients Are Saying
"7thGear consistently surfaces signals across accounts. It helped us move from reactive account management to proactive, data-backed decisions."

"7thGear consistently surfaces signals across accounts. It helped us move from reactive account management to proactive, data-backed decisions."

"7thGear gave us pricing visibility across clients that we simply didn't have before. The specificity stood out."

"7thGear gave us pricing visibility across clients that we simply didn't have before. The specificity stood out."

"We saw a 30% increase in clients flagged as churn risk, and the insights at a client level were specific and highly actionable."

"We saw a 30% increase in clients flagged as churn risk, and the insights at a client level were specific and highly actionable."

"We saw a 30% increase in clients flagged as churn risk, and the insights at a client level were specific and highly actionable."

"We now have always-on insights into resource utilization, and the ability to easily customize quality metrics we want to track."

"We now have always-on insights into resource utilization, and the ability to easily customize quality metrics we want to track."

"We now have always-on insights into resource utilization, and the ability to easily customize quality metrics we want to track."

Built by CROs - Engineered for Clarity
Built by CROs - Engineered for Clarity
We're working with early enterprise partners to deploy digital agents in production. If your team manages complex client relationships at scale, we'd like to talk
We're working with early enterprise partners to deploy digital agents in production. If your team manages complex client relationships at scale, we'd like to talk
Become an Early Partner
Become an Early Partner






