AI Sales Team · B2B IT, SaaS, GCC

AI Sales Team. Built for B2B IT, SaaS and GCC sales.

Nine autonomous employees that find accounts showing real buying pressure, score propensity, and run pain-led outreach — without growing your team.

Lead Gen
Finds the right prospects
Working
Activity
    Tap to pause and see the full role
    +35%
    Qualified pipeline
    Median across B2B IT & SaaS pilots · 90d
    +70%
    Buyer conversations
    vs. outbound baseline
    Forecast clarity
    Stage-by-stage deal risk every week
    Higher
    Efficiency
    Lower
    Costs
    Just-in-time
    Scale-up
    Consistent
    Outputs
    Trusted by revenue teams at
    Helix LogisticsNorthwindCerradoAtlas CloudVeritasLumen Labs
    01 — Proof
    "We deployed S2O instead of hiring two SDRs. Pipeline was up 38% by week nine, and our reps stopped doing research at midnight."
    Maya OkaforVP Sales, Helix LogisticsSeries B · B2B SaaS
    +38%
    pipeline in 9 weeks
    2
    SDR hires deferred
    11
    days to live
    SOC 2 in progress·GDPR ready·Your data stays in your environment
    02 — The problem

    B2B IT and SaaS sales break when teams can't separate real buyers from noise.

    Most teams follow the same signals everyone else is tracking, so their outreach feels generic. They waste time on accounts without the exact pain they can solve, while missing the ones that have it.

    1. 01
      Following the same signals as everyone else

      Outreach feels generic. Teams waste time on accounts that don't have the exact pain they can solve, while missing the ones that do.

    2. 02
      Champion plays trapped in a few people

      Without a system to replicate what champion reps actually do, even good playbooks stay locked inside one or two heads.

    3. 03
      Effort spread evenly

      Reps can't prioritize accounts by real urgency and importance, so effort goes everywhere instead of where it matters.

    4. 04
      Capped pipeline per rep

      Teams hit a ceiling on how much pipeline one rep can actually move.

    A team's output. None of the team's overhead.

    03 — The team

    Nine AI employees. Built for B2B IT, SaaS and GCC sales.

    Each one owns a specific part of the enterprise sales motion — from finding accounts with real buying pressure to running pain-led outreach.

    One specialist runs at a time — tap any row to jump in
    See how Lead Gen works
    Activity
      04 — Inside Lead Gen

      Inside Lead Gen — your signal engine.

      One agent, shown end-to-end. The other eight work the same way inside their own domains — Engagement listens to reply signals, Conversion to intent signals, and so on. Same shape, different field of play.

      Agent 01 · Lead Gen9 signal categories

      Lead Gen's signal categories

      Lead Gen listens to the open internet and your proprietary data for moments worth acting on. A sample of what landed in the last cycle:

      Funded companies
      Fresh capital = budget for new tooling and headcount.
      • Atlan$105M Series C · data ops
      • Apna$100M Series C · jobs
      • BrowserStack$200M Series B · dev tools
      Leadership moves
      New CXOs rebuild their stack in the first 90 days.
      • New CRO at Postmanex-Snowflake · 2 wks ago
      • New VP Sales at Razorpayex-Stripe · 4 wks ago
      • New CMO at Freshworksex-Atlassian · 1 wk ago
      Expansions
      New geographies and offices signal scaling pain.
      • ZomatoLaunch · UAE
      • MeeshoNew office · Bangalore
      • DarwinboxHiring 80 in MENA
      IT landscape changes
      Stack migrations open the door to new vendors.
      • SwiggyMigrating off Salesforce
      • PhonePeEvaluating data warehouse
      • CredHiring Snowflake engineers
      ESOP & liquidity events
      Wealth events shift buyer urgency and team mood.
      • RazorpaySecondary · $75M
      • GrowwESOP buyback · $40M
      IPO lock-ins
      Pre/post-IPO companies overhaul GTM tooling.
      • MamaearthPost-IPO · 6 mo
      • YatraLock-in expiring Q2
      Micro-markets
      Sector heat — fintech infra, devtools, AI infra — flags ICP density.
      • AI infra+38 new co's last 90 days
      • Fintech complianceRBI rules · +12 RFPs
      Hiring signals
      Job posts reveal stack, priorities, and pain.
      • Hiring 'RevOps Lead'12 ICP accounts
      • Hiring 'Sales Eng'8 ICP accounts
      Competitor intent
      Companies evaluating a competitor are evaluating you next.
      • G2 visits to rival9 accounts · 7 days
      • Switch posts on LI4 accounts
      Agent 01 · Lead Gen3 phases · 8 stages

      How Lead Gen turns signals into meetings

      One agent, one continuous loop: Identify → Interpret → Act. The other eight agents each run their own version of this loop in their own domain.

      Identify
      1. 01
        Listen
        Scan the open internet and proprietary data for buying signals — funding, leadership, expansion, hiring, intent.
      2. 02
        Capture
        Pull the raw signal with its source, timestamp, and supporting evidence into one structured record.
      Interpret
      1. 03
        Enrich
        Stitch the signal to the account, its stack, its people, and the latest news around it.
      2. 04
        Infer pain
        Reason about what this signal means for the buyer — what just got harder, what budget just unlocked.
      3. 05
        Map to value
        Match the inferred pain 1:1 to your value prop and craft a sharp point of view per account.
      Act
      1. 06
        Prioritize
        Score and rank accounts by intent, fit, and timing. Hand reps a focused list, not a firehose.
      2. 07
        Engage
        Draft the first touch — multi-channel, signal-anchored, ready for the rep to send or auto-send under guardrails.
      3. 08
        Learn
        Feed reply patterns and meeting outcomes back into the engine. Every cycle gets sharper.
      Agent 01 · Lead GenWorked example

      From signal to sent — Darwinbox

      One signal, traced all the way to the rep's outbox. This is what every prioritized lead carries with it.

      Signal
      Darwinbox hiring 80 in MENA

      Pulled from a job-board scrape and a LinkedIn post 6 days ago. Tagged: expansion · hiring · MENA.

      Enrichment
      Stack + people stitched in

      Workday on the back end, Salesforce in GTM, new RevOps Lead joined 3 weeks ago, regional MD based in Dubai.

      Inferred pain
      Onboarding 80 reps fast in a new geo

      Localized playbooks, regional comp models, RevOps wiring under time pressure — all about to break.

      Mapped value
      S2O ramps the new floor in 11 days

      Lead Gen, Engagement, and Funnel agents running in shadow mode before the first MENA cohort takes a call.

      Sent
      Email to the new RevOps Lead

      "Saw the MENA hiring push — 11-day playbook to get the new floor producing without adding RevOps headcount. 20 minutes next week?"

      Heads up: the depth above is one agent. The other eight have their own signal sources, their own loops, and their own outputs — captured in each worklog card above.
      04 — The loop

      How one AI employee turns signal into pipeline.

      Every employee runs the same loop. This is Lead Gen, end to end.

      • 01Signals
        Intent detected across the open web and your CRM
      • 02Persona
        Routed to the right Lead Gen play
      • 03Actions
        Accounts prioritized, briefs written
      • 04Outreach
        Reps reach out warm, not cold
      • 05Pipeline
        Qualified deals created
      05 — One operating layer

      Why nine specialists beat one super-agent.

      A generalist agent forgets, repeats itself, and blurs accountability. S2O works the way a real revenue team works — divided, coordinated, and traceable.

      1. 01
        Specialists, not a generalist prompt

        Each employee is built for one job — and gets measurably better at it than a single agent juggling six.

      2. 02
        Clean handoffs, no context loss

        Lead Gen passes the account to Engagement with the signal, the brief, and the play already attached. Nothing is restated. Nothing drops.

      3. 03
        Named owner for every action

        When a follow-up goes out or a forecast moves, you know which employee did it — and why. Auditable, not magic.

      06 — How they coordinate

      Your team runs in the cloud while you work.

      It reads your full sales context, runs 24/7, and reports through the channels you already live in.

      Runs on your data · Stays in your environment
      Context it reads
      Emails
      Threads and history
      Calls
      Transcripts and notes
      CRM
      Deals and pipeline
      Drives and decks
      Shared files and collateral
      Context flows in
      Your AI Sales Team
      Nine employees running together in the cloud
      Lead GenEngagementConversion AssistanceGrowthSolution DesignSales IntelligenceFunnel & ForecastActivity MonitoringRelationship Management
      Running 24 / 7
      Outcomes flow out
      Where it reports to you
      Email
      Daily and weekly digests
      Slack and Discord
      Posted to your channels
      Telegram
      Instant updates
      WhatsApp
      Updates on the go
      07 — Where they show up

      Built for every seat in your revenue org.

      From the CRO to the newest SDR — the same nine employees support every level with the work that matters to them.

      • Leadership
        CRO & Sales Head
        Pipeline, forecast, strategy
        Funnel & ForecastSales IntelligenceActivity Monitoring
      • Management
        Sales Managers
        Team coverage and deal health
        Funnel & ForecastGrowthKnowledge
      • Frontline
        SDRs & AEs
        Prospecting and closing
        Lead GenEngagementConversionRelationships
      • Operations
        Researchers & Analysts
        Account context and signals
        Sales IntelligenceKnowledgeSolution Design
      08 — Outcomes

      What changes in the first 90 days.

      Five deltas every revenue leader sees after a full quarter on S2O — measured on the same funnel, the same team.

      • Qualified pipeline
        Measured against inbound + outbound baseline
        +35%
      • Buyer conversations
        Tracked across email, LinkedIn, and voice
        +70%
      • Forecast clarity
        Stage-by-stage deal risk every week
      • Conversion rate
        Avg. pilot result · 60–90 days
        +50%
      • First-response time
        Median across channels
        −40%
      Methodology · Median results across B2B IT and SaaS pilots
      What you skip
      • Writing job posts
      • Running interviews
      • Months of ramp time
      • Performance reviews
      • Weekly one-on-ones
      • Attrition and backfill
      The capstone
      280%+ scale, without 280% more headcount.

      When every agent runs in parallel, output compounds. The same team covers nearly 3× the surface area, with the same humans in the loop.

      Book a demo
      09 — Why agentic

      Why a team of AI employees beats tools or outsourced SDRs.

      Eight reasons revenue leaders move from point tools and outsourced SDRs to an always-on agent team.

      Higher efficiency

      Specialist agents work in parallel, 24/7, with no context-switching tax.

      Lower costs

      Run the work of a full team at a fraction of fully-loaded headcount cost.

      Just-in-time scale

      Spin up coverage in days, not quarters. Wind down just as fast.

      Consistent outputs

      Every play follows the same playbook. No tribal knowledge, no drift.

      Always-on coverage

      First reply in under two minutes, every channel, every timezone.

      Compounding context

      Every signal, reply, and outcome feeds the next cycle. The team gets sharper week over week.

      Full traceability

      Every action is logged with its source signal. Audit-ready by default.

      Your guardrails

      Human-in-the-loop on the actions that matter. Nothing important goes out without a check.

      09 — In action

      From spreadsheet sprawl to one clean operating layer.

      Same data. Same reps. Different week. Here is the difference S2O makes — visually, on day one.

      11 — Where it fits

      The same AI Sales Team supports every seat on the floor.

      From the CEO to the AM — each role gets the thing they're measured on.

      For Founder / CEO
      Visibility into high-propensity accounts.
      • Without being involved in every deal.
      • Supported by Lead Gen, Funnel Management, Competition Management.
      For Sales Lead
      Prioritized accounts and pain-based briefs.
      • For the team, every week.
      • Supported by Conversion, Activity Monitoring, Competition Management.
      For Account Executive
      Live conversations with signal-backed context.
      • Discovery to close.
      • Supported by Lead Gen, Engagement, Conversion.
      For Customer Success / AM
      Expansion opportunities stay visible.
      • Relationships stay warm.
      • Supported by Relationship Management, Market Intelligence.
      Works inside your CRM·Human-in-the-loop·Your data, your environment
      12 — Questions

      Questions revenue leaders ask.

      • No. The AI team covers the volume work — research, outreach, follow-ups, CRM hygiene, forecasting — so your reps spend their time on relationships, judgment, and closing.

      • Yes. Your data stays inside your environment and is only used to run your sales workflows. SOC 2 in progress, GDPR ready today.

      • Eleven days, median. Day 1 we connect your stack. Day 11 it's in production with your first weekly report.

      • Your reps review and approve key actions. Nothing important goes out to a buyer without a human check first.

      • Light. White-glove onboarding is included — most of the setup is a guided session, not an IT project.

      • No. S2O is an AI operating layer for sales. The nine employees take real actions across your stack under human oversight.

      • Per AI employee, per month — typically 10–15% of a fully-loaded human SDR or AE. Start with the roles you need most and add more as you scale.

      13 — Start

      Talk to S2O.

      Book a 30-minute call. We'll show you the AI Sales Team finding accounts with real buying pressure and running pain-led outreach on your actual pipeline.

      Typical response · same business day