Sales Tech & Automations
CRM, sequencers, dialers, enrichment, and AI in the modern stack.
The modern SaaS sales stack
Every SaaS sales team runs on roughly the same six categories of tools. The specific vendors change, but the shape doesn't.
| Category | What it does | Popular vendors (2026) |
|---|---|---|
| CRM | System of record for accounts, contacts, deals | Salesforce, HubSpot, Attio |
| Sales engagement / sequencer | Automates email + call + LinkedIn cadences | Outreach, Salesloft, Apollo |
| Dialer | Click-to-dial with call recording and coaching | Aircall, Nooks, Orum, Kixie |
| Enrichment / prospecting | Finds and enriches contact and company data | Apollo, ZoomInfo, Clay, Cognism |
| Conversation intelligence | Records and analyzes sales calls | Gong, Chorus, Modjo |
| Revenue intelligence / forecasting | Tracks pipeline health and predicts revenue | Clari, BoostUp, Aviso |
How the tools fit together
A typical outbound day flows like this: Sales Navigator or Apollo builds an account list → Clay enriches it with triggers → the list drops into Outreach as a sequence → the SDR runs power hours through Nooks/Orum → conversations are captured in Gong → discovery meetings land in Salesforce as opportunities → Clari rolls them into the forecast.
Automating prospecting workflows
Two workflows every prospector should master:
1. Trigger-based outbound
- Define your ICP filters in Sales Nav (headcount, growth, tech, geo).
- Push the list to Clay.
- Enrich with a trigger: recent funding, exec hire, product launch, tech install.
- Route triggered accounts into a dedicated Outreach sequence with 3–5 personalized fields.
- Prioritize daily by trigger recency.
2. Job-change plays
Champions who change companies convert 3–5× better than net-new outreach. Set up a Sales Nav alert for job changes among (a) past customers, (b) former champions in open deals, and (c) power users of your product. Reach out within 72 hours.
AI in sales (2026 reality check)
AI is finally useful, but not for the reasons vendor pitches claim. Where it genuinely moves the needle:
- Research and personalization: LLMs can summarize 10-K reports, earnings calls, and LinkedIn posts into a paragraph you can weave into an email.
- Meeting notes and follow-ups: tools like Gong, Fathom, and Granola generate faithful summaries and next-step drafts.
- Coaching: AI scorecards on discovery calls now surface what elite reps do differently — great for self-improvement.
- Deal risk scoring: revenue intelligence tools use signals (silence, decreased engagement) to flag deals that need attention.
Where AI still fails:
- Fully auto-written outbound at scale — buyers detect it and delete.
- Autonomous SDR agents booking real meetings without human oversight.
- Anything that requires empathy or judgment about internal politics.
The winning pattern in 2026: AI drafts, humans edit. Never send anything you wouldn't be proud to sign your name to.