AI SDRs: Complete Guide for 2026
Buy an AI SDR right now, and you walk into 2 competing stories. One says it replaces your team. The other, told loudly on Reddit and LinkedIn, says the category is a scam that burns domains and books junk meetings.
Both are costing sales leaders money. Teams buy on the first story, burn through their best accounts in 3 weeks, then quit on the strength of the second.
The useful version sits between them. Here’s what an AI SDR does, how the workflow runs, what it costs, and how to spot a sequencer with AI copy bolted on.
Key takeaways
- Teams that combine a defined ICP, real sending infrastructure, a named reply owner, and a measurable baseline see AI SDR reply rates climb from a median 2.4% to 6.8%, with monthly meetings rising from 12 to 31 by month 3.
- Most failed AI SDR rollouts collapse within 9 weeks, driven mainly by generic copy, missing deliverability infrastructure, stale contact lists, or teams expecting a full rep replacement instead of a capacity multiplier.
- A fully loaded human SDR costs $7,500 to $10,000 a month and takes 3 to 6 months to reach full productivity, while most AI SDR platforms cost $250 to $5,000 a month and can go live within days.
- An AI SDR covers account research, first-touch outreach, follow-up, and meeting booking, the same scope as a first-quarter sales development hire, but it does not run discovery calls, demos, or closing conversations.
- AiSDR runs prospecting, research, outreach, reply handling, and meeting booking as 1 workflow, with campaigns live in 30 minutes, positioning it as a capacity multiplier for a sales team rather than a replacement for one.
What is an AI SDR?
An AI SDR is software that runs the top of your outbound funnel on its own. It finds and researches prospects, writes and sends the first touch, handles replies, qualifies interest, and books the meeting on a human’s calendar.
Inside the job: account research, list building, first-touch outreach, follow-up, reply handling, basic qualification, and meeting booking. That’s the same scope you’d hand a sales development hire in their first quarter.
Outside the job: discovery calls, demos, pricing conversations, negotiation, and closing. Those need judgment, relationships, and the ability to read a room.
Buyers use 3 adjacent terms as synonyms, and they’re not quite the same thing.
- AI BDR: Same technology, different label. BDR titles skew toward net-new outbound while SDR titles cover inbound too, so vendors use whichever word their buyers use. Our breakdown of the AI BDR differences covers where the lines fall.
- AI sales agent: A broader category. An AI SDR is 1 type of sales agent. Others handle inbound chat, CRM hygiene, forecasting, or deal research, and never touch outbound.
- AI sales assistant: Helps a person work faster rather than owning a workflow. It drafts, suggests, and summarizes. A human still decides who gets contacted and presses send.
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How does an AI SDR work? (step by step explanation)
The loop runs in the same order your team already works. Here’s each stage, the data it depends on, and the decision that stays with you.
Finding and researching accounts
The AI builds the list rather than pulling from a static file. It works from your stated criteria, then layers on timing signals like hiring activity, funding news, technology in use, website visits, and engagement with relevant LinkedIn posts.
Research happens per prospect. The system pulls public context, such as a recent role change or a product launch, and keeps the details that give a message a reason to exist.
AI needs a defined ICP, a suppression list, and CRM access if you want existing accounts scored and enriched.
What you still decide: Which intent signals count as buying intent for your market, and how narrow the account definition should be. Get that wrong and the AI will faithfully contact the wrong people at speed.
Writing and sending the first touch
The AI drafts each message against the research it just gathered and the persona you configured, which holds your positioning, tone, proof points, and claim limits. Nothing gets templated with a merge field and called relevant.
Sending is where infrastructure matters. Messages go out from warmed mailboxes on separate domains, spread across the day, with volume capped per inbox. Bounce checks run before the send.
What triggers it varies by campaign. Some steps fire on a schedule. Others on a signal, such as a prospect visiting your pricing page or changing jobs.
What you still decide: the offer, the claims the AI is allowed to make, and the daily volume you’re comfortable with.
Handling replies, objections, and follow-up
When a prospect responds, the AI reads intent before it writes. Out-of-office replies pause the sequence and resume it later. A human reply stops the automated steps so nobody gets a scheduled follow-up on top of a live conversation.
From there it answers common questions, handles familiar objections, and keeps the thread moving toward a meeting. Unsubscribes get suppressed automatically.
Speed is the real advantage here. Follow-up lands the same day rather than whenever someone gets back to their inbox.
What you still decide: Which replies get escalated to a person, and how fast. Anything sensitive, technical, or high-value should route to a human immediately.
Qualifying and booking the meeting
Qualification is light by design. The AI checks fit against your criteria, asks a couple of qualifying questions in the thread, and books the meeting on the right calendar when the answers line up.
Everything logs back to your CRM: the contact, the thread, the intent level, and the meeting. That’s what makes the channel reportable later on.
What you still decide: the bar for a meeting worth taking. Set it too low and your calendar fills with people who will never buy, which is the fastest way to lose the sales team’s trust in AI-sourced pipeline.
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AI SDR vs human SDR vs AI-assisted sales tools
These three get compared as if they’re interchangeable, and the differences show up under load.
| AI SDR | Human SDR | AI-assisted tool | |
| Ramp time | 30 minutes to first campaign, about 30 days of warm-up before full volume | 3–6 months to full productivity | Days to configure, then permanent manual work |
| Cost per month | $100–$5,000 by contact volume | $7,500 to $10,000 fully loaded | $50–$150 per seat, plus data and infrastructure |
| Volume ceiling | Capped by contact allowance and mailbox capacity | 45–60 researched touches a day at best | Capped by how fast your team reviews and approves |
| Judgment on non-standard replies | Handles common objections, escalates the rest | Strongest of the 3 | None. A person reads every reply |
| What breaks first at scale | Targeting drift and list quality | Coverage and follow-up consistency | Your team’s capacity |
Read that table as an argument for augmentation. A human SDR takes 3 to 6 months to reach full productivity, and Bridge Group’s benchmark puts the average at a little over 3 months. During that window you pay full cost for partial output.
An AI SDR removes the research-and-first-touch load from that math, so your team spends those hours on conversations, demos, and complex deals. The third column is where buyers get caught. A sequencer with an AI writing assistant looks like an AI SDR in a demo, then hands your team a task list once the campaign is live.
What an AI SDR can and cannot do today
The skeptics have earned their skepticism. Gartner expects that over 40% of agentic AI projects will be canceled by the end of 2027 because of rising costs, unclear value, or weak controls. The same analysts flagged “agent washing,” where old chatbots get rebranded as agents, and put the number of vendors with real agentic capability at around 130.
Outbound failure modes are just as consistent. In our own AI SDR report, built on field data from 75 teams running AI SDR in production, most failed rollouts collapsed inside 9 weeks. Four causes come up again and again.
- Generic copy: The AI produces something clean, safe, and interchangeable with what 3 other vendors sent that week. Half the failed deployments in our data had well-personalized copy and still lost on context and timing.
- No deliverability foundation: Sending onto cold domains with no warm-up puts good messages in spam. Instantly’s 2026 benchmark report, drawn from billions of cold emails, puts the platform-wide reply rate at 3.43%, and a burned domain lands well under that.
- Thin or stale lists: Purchased, scraped, or aged-out contacts don’t convert. No amount of AI research rescues a list of people who already ignored you twice.
- Wrong expectations: Teams that buy an AI SDR as a replacement for their team, rather than a multiplier for it, tend to remove the human oversight that keeps output on-brand.
The conditions for it working are just as knowable.
You need an ICP defined at the account and persona level, real sending infrastructure with completed inbox warm-up, a named person who owns the handoff when a prospect replies with intent, and a baseline to measure against.
Teams in our data that had all 4 moved from a median 2.4% reply rate and 12 meetings a month to 6.8% and 31 meetings by month 3.
You should not buy an AI SDR if…
A few situations make this the wrong purchase, and it’s cheaper to know now.
- Your ICP is a guess: AI scales targeting decisions, so a loose definition burns your best accounts faster than a person ever could.
- Your offer isn’t converting for humans: AI multiplies what already works and multiplies what doesn’t just as reliably.
- Nobody owns replies: If a positive response sits for 2 days, the meeting is gone and the spend is wasted.
- Your total addressable market is a few hundred named accounts: At that size, a person doing deep manual research will outperform any system built for volume.
What to look for in an AI SDR
Feature lists tell you very little. Frame every criterion as a pipeline consequence, then pressure-test it in the demo.
Our breakdown of virtual SDR criteria goes deeper on each.
Autonomous execution vs manual configuration
The question is how much of the “AI” writes copy and how much makes decisions. Tools that only write leave you owning targeting, sequencing, and reply handling, which is most of the work.
Ask in the demo: Which decisions does the system make without a person, and what happens if nobody logs in for a week?
Deliverability and inbox infrastructure
If placement fails, nothing else matters. Check whether the vendor includes mailbox procurement, warm-up, domain health monitoring, bounce checks, and inbox rotation, or sells them as add-ons you’ll be assembling yourself.
Ask in the demo: Who owns domain reputation, and what happens to my campaigns when a domain starts to degrade?
Data accuracy and signal freshness
Stale contacts cost you twice, once in bounces and once in sender reputation. Live research beats a database pull from 8 months ago, and a timestamped signal beats a black-box intent score. Our roundup of prospecting tools covers how the data layer differs by vendor.
Ask in the demo: Where did this specific contact record come from, and when was it last verified?
CRM sync and reporting transparency
Attribution is how the channel survives its first budget review. Two-way sync means the AI reads your CRM for context and writes activity back, so meetings trace to campaigns without a spreadsheet.
Ask in the demo: Show me the report I’d bring to a quarterly review, using a real account.
Pricing model and what scales with volume
Per-seat pricing punishes you for adding users who barely log in. Per-contact and credit models are more predictable at low volume and get expensive across multiple segments. Outcome pricing sounds safest until you read the vendor’s definition of a qualified meeting.
Ask in the demo: What does my bill look like at 3 times this volume, and which line items are not on this page?
[Report] State of AI SDR Industry 2026
| Tool | Best for | Starting price | What sets it apart |
| AiSDR | Teams that want the full loop run for them | $250/mo | Signal-based targeting with email infrastructure included |
| 11x (Alice) | Enterprise teams with budget and RevOps support | Custom, from $3,750/mo | Digital-worker model with deep CRM integration |
| Reply.io (Jason AI) | Multichannel sequencing with an optional agent | $49/user/mo, Jason from $500/mo | Email, LinkedIn, calls, texting, and WhatsApp in one sequence |
| Qualified (Piper) | Enterprise inbound teams on Salesforce | Custom, reported from $40K/yr | Live chat, voice, and video for website visitors |
| Agent Frank (Salesforge) | Lean teams wanting autonomy at a lower entry price | $499/mo | Auto-pilot and co-pilot modes on owned sending infrastructure |
| Artisan (Ava) | Lean GTM teams replacing a data and sending stack | Custom, roughly $1,000 to $2,500/mo | Bundled contact database with an adjustable autonomy setting |
| Apollo.io | Teams needing a database and sequencer on one bill | Free, then $49/user/mo | 270M+ contact records with a usable free tier |
| Amplemarket (Duo) | Mid-market teams that want signals included | $300/user/mo, 2-user minimum | Intent signals and copilot agents on every plan |
| Saleshandy | High-volume cold email on a budget | $25/mo billed annually | Priced per workspace rather than per seat |
| Persana AI | No longer available | N/A | Waterfall enrichment and signal agents |
Top AI SDR tools worth knowing in 2026
AiSDR
AiSDR runs prospecting, research, outreach, reply handling, and meeting booking as 1 workflow. It builds lists from live research against any publicly verifiable intent signal, then sends across email and LinkedIn from infrastructure it sets up and maintains for you. It fits teams with a defined ICP and a working offer who want outbound running as a reportable channel.
Pros
- Ami (AiSDR’s built-in AI strategist) reads your site and builds a launch-ready campaign in about 20 minutes
- Campaigns live in 30 minutes, with follow-up and reply handling running without manual sequencing
- Targets on signals: website visits, LinkedIn engagement, hiring activity, funding news, and technology in use
- Mailbox setup, warm-up, and inbox rotation, with two-way HubSpot and Salesforce sync, are included
- Documented results include a 57.87% reply-to-demo rate at Taxly and a 32% reply-to-demo rate at ESLNA, whose first campaign drew a reply from Disney in 3 days
Cons
- No Pipedrive or Zoho integrations
- Not for teams that only need lead enrichment data without automating outreach
Pricing: From $250 a month on the month-to-month Solo plan, then $900 and $2,500 for Explore and Scale. The larger 2 plans run on quarterly contracts, and you can cancel anytime. See the AiSDR pricing page for current allowances.
11x (Alice)
11x sells AI “digital workers,” with Alice covering outbound and a companion agent handling inbound phone and chat. Alice sources prospects, sends multichannel outreach, handles early replies, and books meetings, leaning on CRM data to do it. It targets enterprise teams with budget, RevOps support, and clean records.
Pros
- Covers more channels than most tools here, including phone through the companion agent
- Deep CRM integration, so targeting draws on the records you already keep
- Bundles onboarding, mailbox setup, and deliverability support
Cons
- Annual commitment with no self-serve trial, which makes a cheap test hard
- Output tracks CRM hygiene closely, and reviewers call the copy generic when that upkeep slips
Pricing: Custom. 11x publishes a starting figure of $3,750 a month for Alice on annual billing, and outside reports often cite closer to $5,000.
Reply.io (Jason AI)
Reply sequences email, LinkedIn, calls, texting, and WhatsApp in 1 workflow. Jason AI is its agent layer, which finds prospects in Reply’s database, sends sequences, handles replies, and books meetings in autopilot or approval mode. It fits mid-market teams already running multichannel cadences who want an agent without switching platforms.
Pros
- More channels in a single sequence than anything else on this list
- Jason runs in autopilot or approval mode, so you can start conservative
- Native CRM integrations across HubSpot, Salesforce, and Pipedrive
Cons
- Jason sits outside the sequencing plans, so the AI motion costs extra on top of seats
- Per-seat pricing plus channel add-ons puts the working price well above the headline
Pricing: Email plans from about $49 per user a month, multichannel from about $89, and Jason AI separately from around $500 a month.
Qualified (Piper)
Qualified is an inbound conversational platform built natively on Salesforce, and Piper is its AI SDR. Piper engages website visitors over chat, voice, and video, qualifies them against live Salesforce data, then books meetings. Salesforce closed its acquisition of Qualified in April 2026, so Piper now sits inside the Salesforce agent portfolio.
Pros
- Best-reviewed product here, and reviewers say visitors can’t tell Piper is AI
- Works your existing traffic, so results don’t ride on cold sending or domain health
- Salesforce-native routing closes the attribution gaps common to chat tools
Cons
- Inbound only, with no outbound prospecting, dialer, or LinkedIn outreach
- Enterprise pricing and the Salesforce dependency rule it out for most mid-market teams
Pricing: Custom, across 3 tiers with no published prices. Outside reports put the platform around $40,000 a year and up, before the Salesforce stack it needs.
Agent Frank (Salesforge)
Agent Frank is Salesforge’s AI SDR, covering prospecting, copywriting, sending, and follow-up. It works from a built-in contact database across email and LinkedIn, in auto-pilot or in co-pilot mode where a person approves each message first. It suits lean teams and founder-led sales who want autonomy at a lower entry price.
Pros
- Co-pilot mode is a real middle setting between full autonomy and manual sending
- Runs on Salesforge’s own sending stack, so warm-up and inbox rotation live in one place
- Supports 20+ languages, which helps teams selling into several regions
Cons
- Salesforge bills email infrastructure separately, from around $33 a month
- Targeting uses ICP filters rather than live buying signals, so timing is weaker
Pricing: From $499 a month billed annually, or about $599 quarterly, for 1,000 active contacts. Activation requires a demo.
Artisan (Ava)
Artisan’s Ava sources leads from a bundled contact database, enriches them, writes outreach, handles replies, and books meetings. An autonomy setting lets you choose how much Ava does without review, and Artisan reports that most customers run it with light oversight. It aims at lean teams replacing a data provider, sequencer, and warm-up tool with one subscription.
Pros
- Bundles the contact database, so you can drop a separate data subscription
- Interface rates as easier to operate than most tools in the category
- Builds in warm-up and placement testing
Cons
- Annual contract required, which is a heavy commitment in a young category
- Reviews split sharply on message quality, and some public accounts report campaigns that produced little
Pricing: Custom. Artisan doesn’t publish a full price list, and outside reports for outbound plans land between $1,000 and $2,500 a month on annual terms.
Apollo.io
Apollo pairs more than 270 million contact records with sequencing, a dialer, and AI writing help. It’s the usual starting point for teams that want data and outreach on one bill, and the free tier makes it easy to try. Treat it as a sales engagement platform with AI features rather than an agent that runs outbound unattended.
Pros
- Largest contact database here, with filters most teams learn in an afternoon
- Free tier and low entry price make it the cheapest way to start
- Sequencing, dialer, and CRM sync in one place, replacing several point tools
- Huge review base, so you can find feedback from teams like yours
Cons
- Per-seat pricing multiplies with team size, and credits create overage risk
- A person still owns targeting, review, and replies
Pricing: Free plan, then $49, $79, and $119 per user a month on annual billing, or $59, $99, and $149 monthly.
Amplemarket (Duo)
Amplemarket is an all-in-one engagement platform built around Duo, a set of AI copilots for signals, research, and sequence building. It combines a contact database, intent signals, multichannel sequencing, and a deliverability stack, included on each plan rather than sold as add-ons. It targets mid-market teams that want intent data and outreach on the same bill.
Pros
- Includes intent signals rather than selling them separately, which is rare at this price
- Duo assists across research, targeting, and sequence building on every plan
- Deliverability tooling and two-way Salesforce and HubSpot sync come standard
Cons
- High entry price, charged per user with a 2-user minimum
- Duo assists a person rather than running the loop unattended
Pricing: From $300 per user a month on annual billing with 2 users included, so roughly $600 a month to start.
Saleshandy
Saleshandy is a cold email platform built around deliverability, with unlimited mailboxes on every plan and pricing metered by active prospects rather than seats. It bundles an AI copilot that drafts whole sequences, a lead-finder database, verification, warm-up, and an add-on that supplies ready-configured domains and mailboxes. It’s the budget pick for high email volume when you don’t need an autonomous agent.
Pros
- Cheapest entry point here, and per-workspace pricing means teammates cost nothing extra
- Unlimited mailboxes with built-in warm-up support high volume without a second tool
- The infrastructure add-on ships domains and mailboxes with authentication already set
Cons
- Email only, with no LinkedIn, calling, or autonomous reply handling
- The lead-finder database is a separate credit-based product
Pricing: From $25 a month billed annually, or $36 monthly, for 2,000 active prospects, rising to $69 and $139 for higher volume.
Persana AI
Persana AI was a prospecting and enrichment platform that ran waterfall enrichment across dozens of data providers, detected signals like job changes and funding, and turned them into sequenced outreach. Its research agent and credit-based pricing made it popular with lean teams that wanted enrichment depth without an enterprise contract. It’s included here because teams still search for it, and because the ending is instructive.
Persana announced on April 1, 2026 that its team was joining Rox, suspended billing that day, and gave customers a 30-day export window. Persana sunset the platform on May 2, 2026 and deleted the remaining data.
What an AI SDR costs in 2026
Most AI SDR platforms run between $250 and $5,000 a month, with light automation tools starting near $100 and enterprise or managed deployments quoted above $5,000. The pricing model moves your bill more than the sticker price does.
- Flat platform fee: Predictable and easiest to forecast. Watch for volume caps and overage rates above them.
- Per seat: Priced like traditional software. Fine for 2 people, punishing when the AI does the work of 5 and you’re billed as if 5 humans logged in.
- Per contact or credit: Costs track usage. Predictable at low volume, and it climbs quickly once you run several segments at once.
- Per meeting booked: Usually $50 to $200 per meeting. It feels low-risk because cost follows results, though the vendor defines “qualified,” and the math flips against you past roughly 40 meetings a month.
Compare that to a human.
An SDR in the US averages $55,000 to $60,000 in base pay and $83,000 to $85,000 at full quota. Add benefits, taxes, tooling, recruiting, and management, and the loaded first-year cost lands between $90,000 and $120,000. That’s roughly $7,500 to $10,000 a month for one seat that needs 3–6 months to reach full output.
3 costs vendors rarely quote:
- Inbox and domain infrastructure runs $200 to $800 a month once you count warm-up, extra mailboxes, and placement testing, unless your platform includes it.
- Vendors often bill data enrichment and email verification separately.
- Human hours never go to zero, since someone still owns the handoff and the weekly review.
Make sure to ask any AI SDRs on your shortlist about their pricing.
Where an AI SDR fits in your 2026 pipeline plan
Day 1–30: Setup and calibration rather than results
Expect to define the ICP and suppression rules, approve claims and tone, connect your CRM, and wait out mailbox warm-up. Your team owns 3 things in that window: the offer, the reply escalation path, and a weekly review of who the system contacts.
You can go live within minutes if (a) your domains are already warmed up, or (b) you keep initial campaigns small at first, and then gradually ramp up as you go.
Volume in month 1 tells you almost nothing. The signal worth watching is whether the accounts the system surfaces look like the ones you’d have picked yourself.
Day 31–90: Figure out what the numbers are saying
In our field data, median time to a first positive response was 22.7 days, and teams that scaled successfully settled around a 70/30 split of AI to human effort.
Watch reply quality alongside reply rate. Meetings held matter more than meetings booked, and cost per meeting held is the number that survives a budget review. If replies cluster in 1 segment, that’s your targeting telling you where to concentrate.
Day 91+: Scale what’s working and cut what isn’t
Output per person climbed from 3.5 to 16.2 meetings a month by month 6 in successful deployments.
This is also the window where targeting drift starts to show. Add 1 segment at a time so you can tell which change moved the number, and keep the weekly review running even after the channel looks stable.
AiSDR is built for that shape of rollout. Campaigns go live in 30 minutes, research and follow-up run without manual sequencing, and every touch logs back to HubSpot or Salesforce, so the channel is reportable in your first quarterly review.
To see how it handles outbound AI in your market, point it at your ICP and watch what it surfaces before committing a quarter to it.
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Frequently asked questions about AI SDRs
Will SDRs be replaced by AI?
No, though the role is changing. AI is taking over list building, research, first touches, and follow-up, which is where most of a sales development day used to go. What remains is the work AI handles poorly: live conversations, complex objections, multi-threading, and relationship building. Teams in our data mostly reallocated people toward qualification and closing, and the strongest setups keep a person on every judgment call.
Do AI SDRs work?
Yes, under specific conditions. Teams with a defined ICP, working sending infrastructure, a converting offer, and a human owning replies see reply rates and meetings climb within a quarter. Teams missing any of those fail fast, and in our field data most failed rollouts collapsed inside 9 weeks. What separates the 2 groups is execution discipline rather than the platform they bought.
How much does an AI SDR cost?
Most platforms cost between $250 and $5,000 a month, with entry-level tools near $100 and enterprise deployments quoted above $5,000. Budget for extras: inbox and domain infrastructure at $200 to $800 a month if it isn’t included, plus data enrichment and verification. Compare against $7,500 to $10,000 a month for one fully loaded human SDR, and measure cost per meeting held rather than cost per seat.
What is the difference between an AI SDR and an AI sales agent?
An AI SDR is one kind of AI sales agent, specialized in sales development. “AI sales agent” is the umbrella term for any AI that takes action in a sales workflow, including inbound chat, CRM updates, deal research, and forecasting. If a vendor sells an AI sales agent, ask which part of the funnel it owns. Plenty never touch outbound prospecting.
Can AI SDRs make cold calls?
Partly, and the law shapes what’s possible. Most platforms generate call scripts, create call tasks, and log outcomes while a person dials. Some offer AI voice, which carries real compliance weight in the US: The FCC ruled in February 2024 that AI-generated voices count as artificial under the TCPA, so consent rules apply. Check your jurisdictions before switching on AI voice.
How long does it take to set up an AI SDR?
Configuration usually takes days, and email infrastructure gates how fast you can go live. If you need new domains and mailboxes, plan for roughly 30 days of warm-up before full volume, since ramping too fast is a common way to burn a domain in week 1. Ask any vendor what “live” means in their timeline. With AiSDR, you can go live with your first campaigns in 30 minutes, and gradually ramp up volume as your mailboxes become more reputable.
Do AI SDRs integrate with my CRM?
Most integrate with HubSpot and Salesforce, and coverage thins out past those 2. What matters is whether the sync runs both ways. One-way logging gives you activity records.
Two-way sync lets the AI read CRM properties for context, suppress customers and open deals, and write meetings back where your reporting lives. Ask which objects and fields it reads and writes.
AiSDR runs on AiSDR
We use our own product to book our own meetings. Every experiment gets written up, numbers and all.
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Complete 2026 guide to what AI SDRs do, cost, and get wrong
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