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Sales and RevOps

Proposal Agent

It can qualify opportunities, prepare messages, update CRM, summarize accounts, support proposals and detect commercial risks, focused on proposals. It works with authorized system context, connected tools and verifiable evidence before closing or escalating a case.

Supports the team in proposals: understands requests, checks sources, prepares recommendations and executes only actions allowed by permissions and policies.

Signals, actions and outputs

This model keeps the agent from being just a conversation: it defines what it reads, what it can execute and what it leaves ready for the team.

Input signals

  • proposals requests or alerts
  • proposals operating data
  • CRM
  • opportunity stages

Connected tools

  • proposal assistant
  • sales calendar
  • opportunity score
  • CRM lookup

Agent actions

  • Classifies the request within proposals and determines urgency, owner and confidence level.
  • Checks proposal assistant and sales calendar before recommending or preparing an action.
  • Prepares drafts, tasks, alerts or updates so the team can act faster.
  • Hands off when confidence is low, there is financial impact, an external commitment, a policy exception or a decision requiring human approval.

Operating outputs

  • actionable proposals summary with cited sources
  • recommendation with confidence, owner and next step
  • evidence ready for review, audit or operational follow-up

How the agent operates

The cycle starts with context, applies rules, executes actions and ends with reviewable evidence.

01

Reads context

Checks authorized sources, messages, documents or process data.

02

Reasons with limits

Uses guardrails, thresholds and policies to prioritize and decide next steps.

03

Acts or escalates

Runs an automation, prepares an answer or assigns the case to an owner.

04

Leaves evidence

Stores summaries, decisions, errors, files and session traceability.

Operating governance

Guardrails

  • Human approval for critical changes, sensitive external messages or financial impact.
  • Role-limited access; every lookup and action is audited.
  • Mandatory escalation when sources are missing, confidence is low or a policy exception is detected.

Channels

  • QAC Inbox
  • CRM
  • sales email

Human handoff

Hands off when confidence is low, there is financial impact, an external commitment, a policy exception or a decision requiring human approval.

Evidence

Each interaction can stay linked to session, execution, user, source consulted and proposed or executed action.

Applied real-world pattern

Inspired by real sales-agent cases that qualify leads, prepare emails, update CRM and free seller time for higher-value conversations.

CRM
sales email
call transcripts
web forms

Related agents

Review Proposal Agent with a real process

We validate sources, permissions, available tools and escalation criteria before proposing the first deployment.

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Proposal Agent | Quantum AI Agent | Quantum Developers