Active seats drop 25% in a month
LivePauseWhen
active_seats falls more than 25% month over month on any account
Then
Alert #cs-risk in Slack with the account and the ARR exposed
All 312 accounts · 14 runs · last fired today 08:12
Commercial AI Automation
Give every team AI that understands the customer and can do the work
Build agents and automations on trusted customer intelligence so AI can monitor conditions, prepare decisions, coordinate workflows, and carry out approved actions with evidence and control.
Built forRevenue Operations, Customer Operations, Customer Success, Sales, Product, Operations, and IT governance teams
Each agent is a condition and an action. Ask a question, then turn the answer into an agent — it keeps checking and acts or alerts when the condition holds.
32 actions taken this monthPlan downgrade mentioned
LiveNeeds approvalPauseWhen
An account asks about a lower tier in email, call notes or tickets
Then
Draft a retention email and hold it for the AE to approve
Growth+ accounts · 3 runs · last fired 28 Aug
Churn risk crosses the line
LivePauseWhen
Churn probability passes 30%, or two precursors land in the same week — champion gone, workflows stopped, seats shrinking
Then
Open a save play in Actions, alert the owner and hold the next nurture email
All 312 accounts · 7 runs · last fired today 08:04
Illustrative product interface
Valuable outcome
Make AI commercially useful by connecting intelligence to execution
Turn AI from a general assistant into a context aware worker that understands customer history, product behavior, commercial importance, company rules, and the goal of the workflow.
01
Commercial importance
The return from AI appears when it improves a real operating process
Automating repeated research, preparation, coordination, and follow up increases capacity and consistency while preserving human attention for judgement and relationships.
Why the process breaks
Generic AI can write, but it cannot reliably operate without context and control
Most AI tools sit beside the workflow. Commercial work requires account history, product signals, business rules, ownership, system access, and an understanding of consequences.
Context is incomplete
The AI sees one document instead of the full customer and commercial situation.
People remain the integration layer
Employees still move information, create tasks, update systems, and verify completion.
Trust is weak
Recommendations are difficult to review when evidence, confidence, and rules are hidden.
Success measures output
Teams count summaries and messages instead of process quality and business results.
The Pace approach
Pace lets teams build governed agents on top of trusted customer intelligence
Every agent operates with a defined objective, relevant customer context, approved tools, clear triggers, company rules, human approval points, and measurable success criteria.
Define
Set the objective, scope, success criteria, and boundaries of the agent.
Ground
Give the agent relevant customer intelligence and company knowledge.
Trigger
Start from a signal, event, schedule, threshold, or human request.
Prepare
Review evidence, apply rules, recommend a decision, and prepare actions.
Approve and act
Route sensitive steps to people, then complete approved work.
Improve
Record decisions, errors, process time, completion, and business outcomes.
Maturity path
Move from personal AI assistance to governed commercial orchestration
Stage 11
Personal assistance
Individuals use AI for summaries, drafts, and isolated research.
Faster tasksStage 22
Repeatable automation
Teams automate selected tasks with triggers and templates.
Consistent workflowStage 33
Context aware agents
Agents monitor, prepare decisions, and coordinate actions with approval.
Useful executionStage 44
Governed orchestration
A portfolio of agents coordinates processes while people control sensitive decisions.
Scalable autonomyPlatform capabilities
The platform capabilities behind commercially useful AI
Every capability connects to the same operating loop, from customer evidence to a decision, an action, and a measured outcome.
Agent Studio
Define objectives, instructions, scope, success criteria, and boundaries.
Customer Context
Ground agents in Account 360, signals, evidence, behavior, and history.
Trigger Builder
Start workflows from account changes, events, dates, schedules, or requests.
Tool and System Actions
Read and update approved CRM, support, messaging, and internal systems.
Human Approval Controls
Require review for sensitive recommendations, communication, and actions.
Agent Performance
Measure process time, quality, acceptance, errors, completion, and impact.
Illustrative scenario
A renewal review is prepared and coordinated before the team begins the meeting
A CSM gathers usage, support history, calls, commitments, stakeholders, commercial details, and requests. Research, document preparation, tasks, and CRM updates take significant time.
A renewal preparation agent gathers context, identifies changes and risks, produces an evidence linked brief, proposes the agenda and actions, and requests approval.
The CSM focuses on judgement and the customer relationship. Preparation becomes consistent, actions are tracked, and leadership can measure whether quality improves renewal outcomes.
Request a demo
Bring one repetitive customer workflow and see how Pace could operate it
See how Pace could turn a commercial process into a governed agent workflow with evidence, approvals, system actions, and measurable outcomes.
Bring one workflow that consumes repeated research, coordination, or follow up and we will map the agent design.From signal to outcomeReady to map
Customer signal→Pace intelligence→Approved action
Approve renewal preparation workflowEvidence, ownership, controls, and outcome remain connected.