SalesOS

AI-Native Sales Pipeline
From Lead to Close

Qualify leads with 4-dimension BANT scoring, generate proposals in minutes, and close with predictive pipeline analytics — all without a separate sales tool stack.

342+ tests passing
13 API endpoints
4-D BANT scoring
Zoho CRM sync

Capabilities

The full sales cycle — in one system

From inbound lead to signed proposal. Every stage has AI support, and every decision stays with you.

Lead Management

Structured lead intake with 4-dimension BANT scoring — Budget, Authority, Need, Timeline — built into the schema, not bolted on as a third-party layer.

Deal Pipeline

Visual pipeline with stage tracking, probability weighting, and activity history. Deals move forward based on real signals, not gut feel.

AI Proposal Generation

Generate client-ready proposals via the Agent Mesh. Pulls deal context, pain points, ROI estimations, and case studies into a formatted document ready to send.

Case Studies

Structured library of customer wins, formatted for reuse inside proposals. The AI matches case studies to prospect profile automatically.

Sales Analytics

Pipeline velocity, conversion rates by stage, rep performance, and revenue forecasting. One dashboard instead of four separate tool exports.

Email Sequences

AI-generated outreach sequences customized per lead profile. Approved by you before sending. Synced to Zoho CRM activity log automatically.

Audience

Built for people who close deals

Sales Teams

5–25 rep teams spending too much time on admin — data entry, proposal formatting, follow-up sequencing. SalesOS automates the volume work so reps focus on calls.

  • Auto-populate CRM from email and call notes
  • Proposals generated in minutes, not days
  • AI-flagged deals that are going cold

Founders Doing Their Own Sales

Solo founders and early-stage teams without a dedicated sales function. SalesOS gives you the structure of a seasoned sales process without hiring a RevOps person.

  • BANT qualification you don't need to invent
  • Professional proposals without a template designer
  • Pipeline visibility when you're also the CEO

Business Development

BD teams building strategic partnerships and long-cycle deals. SalesOS tracks complex multi-stakeholder deals with full activity history and automated follow-up reminders.

  • Multi-contact deal tracking
  • Relationship history surfaced in context
  • Partnership proposal templates

Tool Replacement

Three sales tools. One platform.

The average sales stack costs $335–$565 per rep per month. SalesOS collapses that into one line item.

Outreach / Salesloft $100–$150/user/mo

Sales engagement, sequences, and cadence management

SalesOS email sequences are AI-generated per prospect and require your approval before sending — ensuring personalization without volume spray.

Gong $100–$150/user/mo

Conversation intelligence and deal analytics

Pipeline analytics with predictive scoring surfaces deal risk and velocity. The trend-analyzer agent flags stalled deals before they slip.

PandaDoc $35–$65/user/mo

Proposal creation, e-signature, document management

AI proposal generation via Agent Mesh creates structured, professional proposals including ROI calculators and matched case studies in under 5 minutes.

Clay / Apollo $79–$149/user/mo

Lead data enrichment and prospecting

Integrates with Market Intelligence for business discovery and enrichment. Qualified leads flow directly into SalesOS pipeline with full context attached.

Total savings per rep per month $314–$514 at mid-range published pricing, conservative estimate

AI Agents

Agents that work as a sales support team

SalesOS routes tasks through the Agent Mesh to specialized agents that each own one part of the sales process. See all agents

Orchestration

master-orchestrator

Workflow Routing

Coordinates multi-step sales workflows. Determines which agent handles each task — qualification, proposal drafting, follow-up — and sequences them correctly.

Intelligence

competitor-watcher

Competitive Analysis

Tracks competitor pricing, feature announcements, and positioning. Surfaces competitive battlecards automatically when a deal involves a known competitor.

Intelligence

trend-analyzer

Pipeline Intelligence

Analyzes deal velocity, stage duration, and activity gaps. Flags deals at risk and suggests next-best actions based on historical close patterns.

Content

content-creator

Proposal & Outreach

Generates proposal documents, email sequences, and follow-up messages customized to deal context. Pulls from the case study library automatically.

Workflows

How a deal moves through SalesOS

Three core workflows that run every week.

01

Qualify a Lead

~4 min
  1. 1
    Intake — Lead enters via form, email, or manual entry with company and contact data
  2. 2
    BANT Score — AI evaluates Budget, Authority, Need, Timeline based on available signals
  3. 3
    Enrich — Market Intelligence data attached to lead profile automatically
  4. 4
    Route — High-score leads get assigned; low-score leads enter nurture sequence pending review
02

Generate a Proposal

~5 min
  1. 1
    Context Pull — Agent reads deal record: pain points, BANT, conversation history
  2. 2
    Match Cases — Relevant case studies selected from library by industry and problem type
  3. 3
    Draft — Full proposal with executive summary, solution design, ROI model, and pricing
  4. 4
    Review — You review and edit before sending. One approval click to deliver
  5. 5
    Log — Delivery event and open tracking recorded in deal timeline automatically
03

Pipeline Review

~10 min/week
  1. 1
    Scan — AI reviews all open deals for activity gaps, stale stages, and missed follow-ups
  2. 2
    Surface — Risk-ranked deal list with recommended next actions per deal
  3. 3
    Act — Approve follow-up sequences, update stages, or flag deals for deeper review

Reality Check

A sales rep's week

Same quota. Different amount of time spent on actual selling.

Before
  • Mon — Update CRM from memory. Forget three activities
  • Tue — Spend 3 hours building a proposal in PandaDoc from scratch
  • Wed — Send generic Outreach sequence. 2% reply rate
  • Thu — Manager asks for pipeline forecast. Export spreadsheet, spend an hour
  • Fri — 4 deals went cold this week. You didn't notice until Friday
~60% of the week on non-selling tasks
After
  • Mon — Pipeline review takes 10 min. AI shows 2 at-risk deals with suggested actions
  • Tue — Proposal generated in 5 min from deal context. Edited and sent by 9:30am
  • Wed — Approve AI-personalized sequence. 3 prospects reply same day
  • Thu — Forecast is live and updated in real time. Manager has it before asking
  • Fri — Closed 1 deal. Rest of time spent on new pipeline
80% of time on selling. Admin handled.

Ready to spend less time on pipeline admin?

SalesOS is part of the Mahoosuc OS platform — one vendor relationship, shared context with Market Intelligence, no integration work.