The AI platform

Six agents.
One revenue engine.
Running 24/7.

The SalesSquads agentic AI platform is purpose-built for B2B revenue execution. Six specialized agents cover every stage of your funnel, configured by our senior advisors and operated by our team.

Platform architecture

Not a collection of tools.
A coordinated system.

Most companies buy a stack of disconnected point tools: one for email sequences, one for CRM, one for call recording. Each has its own data model, its own dashboard, and its own learning curve. Nothing talks to anything else.

The SalesSquads platform is different. All six agents share a unified data layer. What the Outbound Agent learns about a prospect flows directly to the Sales Assistant before a call. What the Call Analyser identifies in a conversation updates the CRM automatically and informs the next outbound sequence. Every agent makes every other agent smarter.

Unified prospect and account data layer across all agents
Configured and tuned by senior advisors, not default settings
Multichannel: email, LinkedIn, phone, CRM, calendar
Continuous learning: every interaction improves the next
Operated by the SalesSquads team, not left for you to manage
Platform architecture
Senior Advisor Layer
GTM StrategyAgent ConfigurationWeekly Pipeline ReviewsMessaging Approval
AI Agent Execution Layer
📣 Outbound💬 Inbound Nurture🤝 Sales Assistant🎙️ Call Analyser📋 CRM Manager📊 Reporter
Unified Data Layer
Prospect IntelligenceEngagement HistoryIntent SignalsDeal Context
Channel Integrations
EmailLinkedInCRMCalendarCallingSlack
6
Specialized agents covering every funnel stage
24/7
Always-on execution across all channels
45 days
Average time from onboarding to first meetings
100%
Advisor-configured before anything goes live
📣
Agent 01
AI Outbound Agent

Runs your prospecting motion around the clock, without a team of SDRs.

The Outbound Agent is the engine behind your new pipeline. It executes multichannel, hyper-personalized outreach across email and LinkedIn, researches prospects at the account and individual level, writes and sends messages that sound human because they are grounded in real context, and books qualified meetings directly into your team's calendar.

Unlike generic sequencing tools, the Outbound Agent is configured by your senior advisor around your specific ICP, your offer, and your competitive positioning. Every message is tailored to the buyer's role, their company's context, and the stage of the conversation. It also A/B tests continuously and routes reply intent to the right handling logic without manual intervention.

Account and contact-level research and personalization at scale
Multichannel sequences: email, LinkedIn connection, LinkedIn message
Intent-based reply classification and automated follow-up routing
Meeting booking with calendar integration and confirmation sequences
Continuous A/B testing of subject lines, openers, and CTAs
Deliverability management: domain health, sending limits, bounce handling
🧠

Advisor role: Your senior advisor defines the ICP segments, approves all outbound messaging before launch, and reviews campaign performance weekly. Sequences do not go live until positioning and tone are signed off at the senior level.

How it works
1

Prospect identification: The agent pulls target accounts and contacts from your ICP definition, enriches with intent and firmographic data, and prioritizes by fit score.

2

Personalization at scale: For each contact, the agent researches recent company news, job changes, product launches, and relevant signals, then crafts a unique opening line and message body.

3

Multichannel send: Email and LinkedIn touchpoints are sequenced across an advisor-approved cadence. Timing, spacing, and channel order are optimized per segment.

4

Reply handling: Positive replies are handed to your rep with full context. Neutral replies trigger a follow-up sequence. Out-of-office replies are held and resumed automatically.

5

Meeting booked and confirmed: The agent books the meeting, sends confirmation and reminder emails, and logs everything to CRM with context notes.

3.2x
Average reply rate vs. generic sequences
45 days
Average time to first booked meeting
Prospects reached simultaneously, no SDR bottleneck
24/7
Active across time zones without manual oversight
How it works
1

Trigger detection: The agent monitors form fills, content downloads, pricing page visits, demo requests, and calendar bookings in real time.

2

Instant personalized response: Within 60 seconds, the lead receives a message tailored to their entry point, their company profile, and their likely interest.

3

Qualification dialogue: The agent asks the right qualification questions naturally, gathering budget, timeline, use case, and decision-maker info without feeling like an interrogation.

4

Score and route: Based on responses and engagement signals, the agent assigns an intent score and routes: hot leads to your rep immediately, warm leads into a nurture sequence.

5

CRM update: The full conversation, qualification notes, and intent score are written to CRM automatically before the rep ever looks at the lead.

<60s
Average inbound lead response time
0
Leads that fall through without a follow-up
40%
Typical increase in qualified inbound conversion
100%
Of routed leads arrive with qualification notes in CRM
💬
Agent 02
AI Inbound Nurture Agent

Responds in seconds, qualifies intelligently, and never lets a warm lead go cold.

Most inbound leads die from slow response or poor follow-through. A prospect fills out a form, and the first human reply arrives 48 hours later when they have already spoken to a competitor. The Inbound Nurture Agent closes that gap entirely.

The moment a lead submits a form, downloads content, visits a high-intent page, or books a meeting, the agent engages within seconds with a personalized response calibrated to the entry point. It qualifies using your advisor-defined criteria, scores intent, handles objections, and routes the lead to the right rep at the right moment, with full context already written up.

Sub-60-second lead response across all inbound channels
Qualification against advisor-defined ICP and BANT criteria
Intent scoring based on behavior, engagement, and firmographics
Multi-touch nurture sequences for leads not yet ready to book
Intelligent rep routing with full qualification notes in CRM
Re-engagement of stalled or cold leads based on intent triggers
🧠

Advisor role: Your advisor defines the qualification criteria, sets the routing logic, and designs the nurture sequences. The agent executes the playbook the advisor would run if they could respond to every lead in person.

🤝
Agent 03
AI Sales Assistant

Every rep walks into every call prepared like your best rep.

The Sales Assistant works alongside your reps at every stage of the sales cycle. Before a call, it delivers a personalized account brief: company overview, recent news, the buyer's LinkedIn history, known pain points, and suggested opening questions. During active deals, it surfaces relevant case studies, competitive objection handling, and pricing guidance based on the specific context.

After every call, the assistant drafts the follow-up email within minutes, capturing commitments made, next steps agreed, and any questions that need answers. It also keeps the CRM up to date automatically, so reps spend their time selling, not logging.

Pre-call account briefs: company, stakeholder, news, pain points
Suggested discovery questions tailored to the buyer's profile
Competitive objection handling cards, deal-specific
AI-drafted follow-up emails after every meeting
Deal progression prompts: next best action recommendations
Automatic CRM updates from meeting notes and email threads
🧠

Advisor role: Your advisor builds the sales playbook the assistant executes from: the qualification framework, the objection handling library, the competitive positioning, the follow-up templates. The assistant is the runtime layer for the advisor's sales system.

What a rep receives before every call
1

Account snapshot: Company size, funding stage, recent news, tech stack, known buying signals, and any previous interactions with your team.

2

Stakeholder brief: The buyer's role, tenure, LinkedIn activity, likely priorities based on their title and company stage, and any mutual connections.

3

Suggested opener and key questions: Three to five discovery questions calibrated to the buyer's suspected pain points and your typical sales motion.

4

Relevant case studies: Two to three customer examples that match the buyer's industry, size, or problem — pulled automatically from your content library.

5

Likely objections and suggested responses: Based on buyer profile and deal stage, surfaced from the advisor's objection handling library.

~0
Minutes reps spend on pre-call research
2 min
Average time to receive post-call follow-up draft
100%
Of deals have updated CRM before the advisor review
Consistent
Every rep performs to the standard the advisor sets
What gets extracted from every call
1

Full transcript and summary: Verbatim transcript plus a structured summary of topics covered, decisions made, and questions asked.

2

Call scorecard: Scored against your playbook criteria: did the rep establish pain, uncover budget, identify the decision process, create urgency?

3

Key moments flagged: Objections raised, moments of buyer interest, missed questions, and points where the conversation could have pivoted more effectively.

4

Commitments and next steps: What the rep committed to, what the buyer agreed to, and the agreed next step, auto-written to CRM as a task.

5

Deal risk assessment: Red flags identified (stalled decision process, missing champion, budget not confirmed) surfaced before the advisor review.

100%
Of sales calls reviewed, not just the ones reps flag
Real-time
Call insights available before the advisor's pipeline review
Pattern
Objection data aggregated across all deals, not anecdotal
Zero
Manual CRM updates after a call
🎙️
Agent 04
AI Call Analyser

Every sales call becomes a coaching session and a data point.

The Call Analyser listens to, transcribes, and scores every sales conversation. It identifies what your best reps do differently, surfaces the objections that keep killing deals, and flags specific moments in calls where coaching would have changed the outcome. All of this feeds directly into your advisor's weekly pipeline review.

Beyond individual call feedback, the Call Analyser aggregates patterns across all conversations to give your advisor and your team a real-time view of what is working across your pipeline, where deals are stalling, and which messages are resonating with which buyer types.

Full call transcription with speaker identification
Call scoring against advisor-defined discovery and qualification criteria
Objection identification and pattern tracking across all deals
Coaching moment flagging with timestamped clips
Automatic extraction of next steps, commitments, and risk signals
CRM update with deal notes, stage advancement, and risk flags
🧠

Advisor role: Your advisor uses Call Analyser output as the primary input for weekly deal reviews. Pattern data across all calls shapes the ongoing evolution of the sales playbook. Coaching is targeted, not generic, because it is based on what is actually happening in your deals.

📋
Agent 05
AI CRM Manager

Your CRM is always current, always clean, always usable — without asking a rep to log anything.

The single biggest reason CRM data becomes unreliable is that reps hate updating it. The AI CRM Manager removes that dependency entirely. It monitors activity across email, calendar, LinkedIn, and calls, then writes updates to the CRM automatically, with the right level of detail, in the right fields, at the right stage.

Beyond logging activity, the CRM Manager actively monitors pipeline health. It flags deals that have gone quiet for too long, identifies contacts that have not been engaged recently, and alerts the advisor when a deal shows risk signals that need attention before the weekly review.

Automatic activity logging from email, calendar, LinkedIn, and calls
Deal stage progression based on engagement signals
Stalled deal detection and automatic advisor alerts
Contact and account data enrichment and deduplication
Pipeline hygiene scoring: close date validity, next step currency
Forecast accuracy support: expected value vs. pipeline weighting
🧠

Advisor role: Your advisor designs the CRM architecture and defines the pipeline stages and health criteria the agent monitors against. Clean CRM data is the foundation the weekly pipeline review is built on.

Pipeline hygiene checks (continuous)
1

Activity recency: Flags any open opportunity with no outbound activity in the past 7 days. Surfaces to rep and advisor before deals go cold.

2

Close date validity: Detects deals with close dates in the past or with no defined next step, and prompts correction before the weekly forecast.

3

Multi-threading check: Identifies deals where only one contact has been engaged, flags as single-threaded risk for the advisor's deal review.

4

Stage-appropriate fields: Ensures required fields are populated before a deal advances stages. No deal moves to proposal without a confirmed budget range.

5

Data enrichment: Pulls updated firmographic data for all active accounts weekly: headcount changes, funding rounds, leadership changes.

Zero
Manual CRM updates required from reps
Real-time
Pipeline health score always current for advisor reviews
100%
Of open deals monitored for stall signals
Weekly
Account enrichment refresh across all active opportunities
What's in the weekly report
1

Outbound performance summary: Contacts reached, reply rates by sequence and segment, meetings booked, and comparison to prior week and baseline.

2

Pipeline snapshot: Total pipeline value, deals by stage, average deal age, and deals at risk flagged by the CRM Manager.

3

Inbound conversion report: Lead volume by source, qualification rate, time-to-route, and drop-off points in the nurture sequence.

4

Rep performance breakdown: Activity levels, call scores from the Call Analyser, deal ownership, and benchmark against team median.

5

Forecast and recommendations: Current quarter forecast vs. target, deals to accelerate, and the advisor's recommended focus areas for the coming week.

Weekly
Full performance report before every advisor review
Single
Source of truth across all six agents and all channels
Auto
QBR deck generated with no manual assembly
Decision
Every metric tied to a revenue outcome, not vanity
📊
Agent 06
AI Performance Reporter

Complete visibility into what is working, what is not, and what to do next.

The Performance Reporter assembles data from all five other agents into a single, coherent picture of your revenue performance. Before every weekly advisor review, the report is ready: outbound campaign results, inbound conversion rates, pipeline velocity by stage, rep activity metrics, and forecast accuracy trends.

This is not a vanity dashboard of activity metrics. Every report is framed around the questions that drive revenue decisions: which ICP segment is converting best, which sequence is booking the most meetings, where in the funnel pipeline is leaking, and what is at risk in the current quarter.

Weekly performance dashboards delivered before advisor reviews
Outbound campaign analytics: reach, reply rates, meeting conversion
Pipeline velocity: average days per stage, conversion rates, deal size trends
Inbound lead volume, source breakdown, and qualification rates
Rep activity and performance benchmarks against team median
Quarterly business review deck auto-generated for investor and board use
🧠

Advisor role: Your advisor uses the weekly report as the foundation for every pipeline review conversation. Numbers come pre-assembled; the advisor's time is spent on decisions, not data gathering.

Ready to put all six to work?

Book a 30-minute strategy assessment and see exactly which agents apply to your motion and what your pipeline could look like in 45 days.

Book a Strategy Assessment

No commitment. 30 minutes. Senior advisor on every call.