AI SDR Tools: A Stack Map for a Ten-Person Team

What you'll get

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AI SDR tools are sold as one category and are really six different jobs wearing one acronym. Mapping your stack by job, rather than by whichever logo demoed best, shows what a ten-person sales team actually needs, where tools overlap and where the human line must hold. No prices here, because tool prices change often and are worth quoting only with a source and a date.

The six jobs

1. DATA AND LISTS      Finding companies and contacts, enriching them,
                       keeping emails valid.
2. RESEARCH            Reading accounts: sites, filings, job ads, news,
                       summarised into briefs.
3. WRITING ASSIST      Drafting emails and messages for a human to edit
                       and send.
4. SENDING AND         Sequencing, mailbox warm-up, scheduling,
   ORCHESTRATION       deliverability plumbing.
5. CALLS AND MEETINGS  Transcription, notes, summaries; at the
                       aggressive end, AI agents that dial.
6. TRACKING AND        The account tracker, the CRM hygiene, the
   REPORTING           weekly numbers.

What a ten-person team needs, per job

1. Data        One provider, used well, with validation. The gap is
               never "more data"; it is the named-list discipline that
               decides what to pull. AI helps sharpen criteria, not
               invent companies.
2. Research    The highest-value AI job and the one with the fewest
               tools worth buying: a general assistant with good
               prompts covers most of it. Sources first, always.
3. Writing     Assist, not autopilot. Drafts from your own inputs,
               edited by the person whose name signs them. Anything
               sent unread by a human is your brand on autopilot.
4. Sending     Boring and necessary: sequencing, warm-up, limits.
               The discipline (volume earned by replies) matters more
               than the logo.
5. Calls       Transcription and summaries: adopt freely, with consent
               rules per region. AI agents that dial: Tier 3 only, if
               ever, and only after the test script below.
6. Tracking    The layer that makes the rest honest. A sheet run well
               beats a dashboard nobody updates; AI helps by turning
               dictation into clean rows.

The human-mandatory lines

Three places where handing the job to AI transfers risk you cannot get back:

Choosing the accounts. The list is the strategy. AI sharpens criteria and spots signals; a human owns which companies your brand pursues.
Anything a senior buyer reads or hears unedited. One hallucinated claim in one email to one Tier 1 account costs more than the tool saves in a year. Human eyes before every Tier 1 and Tier 2 send; the tier logic is where to use an AI SDR.
Deciding when to stop. Parking an account, honouring a not-now, suppressing an angry reply: judgement calls where a wrong automated chaser does real damage.

Four questions that cut any shortlist

1. Which of the six jobs is this, and do we already own a tool doing it?
   (Most stacks have two tools fighting over job 4 and nothing on job 6.)
2. What does it do with our data, and whose property do the outputs
   and the trained improvements become?
3. Can we see raw output on OUR accounts before paying: real emails,
   real briefs, real transcripts?
4. What breaks when we leave: exports, domains, history?

The deeper buying diligence, demo tricks to watch for and the pilot structure are in the AI SDR evaluation checklist; the cost arithmetic against hiring is the AI SDR vs human SDR cost sheet.

Worked example (illustrative, not a real company)

Illustrative example

A ten-person services firm maps its stack and finds the usual shape: two sequencing tools (job 4) bought in different quarters, a data subscription nobody validated emails through (job 1), no research routine (job 2) and a CRM that is fiction (job 6). The fixes cost less than the next demo on the calendar: one sequencer cancelled, validation switched on, a prompt pack adopted for research briefs and the tracker rebuilt as a sheet with dictation. The only new spend is call transcription. Pipeline conversations double in a quarter, and no AI agent dialled anyone. All details are invented.

Five mistakes to avoid

Buying by category name. "AI SDR" spans six jobs; a tool brilliant at job 4 does nothing for your actual gap at job 2. Map first, demo second.
Stacking overlaps. Two tools on the same job means double cost and split data. One tool per job, used fully, for a team this size.
Autopiloting the writing. The assist-not-autopilot line is where brand risk lives. Drafts are free; unread sends are expensive.
Ignoring job 6. Teams buy generation and skip measurement, so the stack produces activity nobody can evaluate. The tracker is the stack's conscience.
Letting the stack set the strategy. Tools default to volume because volume demos well. The named-account discipline (few companies, worked deeply) is a decision no tool makes for you.

Why this works on named accounts

Every AI sales tool demos the same dream: the pipeline machine that runs itself. Map the stack by jobs instead of logos and the dream resolves into something more useful: AI is excellent at the volume layers (finding, drafting, logging, summarising) and unaccountable at the judgement layers (choosing accounts, saying true things to senior buyers, deciding when to stop). A ten-person team that buys the volume layers and keeps the judgement human gets the speed without wearing the risk.

How account-based selling works →

Common questions

What AI tools does a small sales team actually need?

One data provider with validation, a general AI assistant with good prompts for research, writing assist with human editing, one sequencing tool with warm-up, call transcription and an honest tracker. Six jobs, roughly one tool or routine each; most ten-person teams need fewer logos than they currently pay for.

Can AI replace an SDR?

It replaces slices of the job: finding, drafting, logging, summarising. The judgement slices (choosing accounts, saying true things to senior people, knowing when to stop) are where deals and reputations are won, and handing those to software transfers risk rather than work. The honest framing is fewer hours per account, not fewer humans per team.

How do you evaluate an AI sales tool before buying?

Name which of the six jobs it does, demand raw output on your own accounts before paying, get data ownership and exit terms in writing, and pilot it on Tier 3 accounts where a bad output costs little. If the vendor resists showing raw work, that is the evaluation.

More from the Academy

20 checks to send each vendor (must-pass checks marked ★)

DATA
1.  Where do the contacts come from? Name the sources.
2.  Can the tool work only from a list of companies we supply?
3.  ★ Can we block whole companies by domain, across every campaign, before anything is sent?
4.  How are opt-outs recorded, and does an opt-out apply to every campaign and mailbox?
 
ACCURACY
5.  ★ For every fact the tool states about a company or person, can we see the source link?

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AI SDR Evaluation Checklist: 20 Checks Before You Buy

For sales heads choosing between AI SDR tools.

You leave with 20 checks, four must-pass rules, a scoring sheet for three tools and five things to make the vendor show you live.

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Questions for every AI SDR vendor

1.  Every fee: licence, seats, set-up, onboarding, data or contact credits,
    enrichment, extra mailboxes or domains, and anything billed by usage.
2.  Minimum term, notice period and what happens to fees if we stop early.
3.  How many companies and how many people per company the software will
    contact each month on the plan you are quoting.
4.  Where the contact data comes from, and whether we can upload our own list.
5.  Whose domains and mailboxes it sends from, and who keeps them if we stop.
6.  Whether a person can approve each message before it is sent, and how long

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AI SDR vs Human SDR Cost Sheet

For founders and sales heads deciding between AI SDR software and a human SDR.

You leave with a 30-row cost sheet, a vendor question list, a cost-per-account formula and a break-even check.

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Questions to send before a demo

1. Can I load an exclusion list by company domain, and does it apply to every campaign?
2. Can I require approval before sending for accounts I choose?
3. Where does the tool get the facts it uses about a company, and can I see the source for each line?
4. What does it do when a buyer replies: answer, hand over or book a meeting?
5. Whose domains and mailboxes does it send from, and who keeps them if we stop?

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Where to Use an AI SDR: Tier 3 Only

For sales heads about to switch on an AI SDR.

You leave with a three-tier split of who does what, three guardrails, five vendor questions and a two-week test.

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An AI Sales Stack Map for a Ten-Person Team