Build vs buy and DIY
The outbound tech stack: what an AI SDR replaces
By Viktorio Shopov, co-founder of Sellinger. Reviewed by Asen Levov. Published . Last updated . 8 minute read.
The classic outbound stack has eight layers: data, signals, LinkedIn automation, email sending, sequencing, reply handling, scheduling and CRM or notes. An AI SDR replaces the middle four, sending, sequencing and reply handling across channels, and often bundles data and signals. It leaves your CRM, calendar and note taker in place. Count each layer's cost in money and in hours before you switch.
Before the AI SDR, an outbound team assembled a stack. Each tool did one job, and a person carried the work between them. This post maps the stack by layer, says which layers an AI SDR takes over and which it does not, and gives you a way to count before you change anything.
What are the eight layers?
| Layer | The job | Typical tools |
|---|---|---|
| Data | Find people and contact details | A contact database, a LinkedIn search |
| Signals | Find a reason to write now | A signal feed, alerts, manual watching |
| LinkedIn automation | Send invitations and messages | A cloud or browser LinkedIn tool |
| Email sending | Send from mailboxes with limits | A mailbox provider, a sending tool |
| Sequencing | Run steps over days across channels | A sales engagement platform |
| Reply handling | Read, answer, qualify | People, in an inbox |
| Scheduling | Offer times and book | A calendar link tool |
| CRM and notes | Record and review | A CRM, a note taker |
A team with all eight has up to eight logins, eight invoices, and at least seven places a lead can be lost between tools.
Which layers does an AI SDR replace?
Four, directly.
LinkedIn automation and email sending. An AI SDR sends on both from your connected accounts, within limits you set per account. In Sellinger, LinkedIn defaults are 20 invitations a day and 150 a week, and email defaults to 50 sends a day per mailbox. For how that differs from a plain automation tool, see LinkedIn automation against an AI SDR agent.
Sequencing. The sequence is run by the agent, across channels, with a stop on reply. The defaults move a lead from LinkedIn to email after four follow ups and from email to WhatsApp after five, and every value can be changed per campaign. The comparison with a classic sequencer is in AI SDR against a sales engagement platform.
Reply handling. This is the layer people forget, because it is invisible work. The agent answers, qualifies, handles objections and stops when it cannot. On our own LinkedIn outbound, 93% of replied conversations since May 2026 ran with no human message, and the median agent reply was 2.3 minutes. Reply handling is the biggest saving of hours, and the one that needs the most care. See what an AI SDR does after the first reply.
Data and signals, in part. Some platforms bundle them. Sellinger offers a database of 700M+ contacts, with a lookup of an email, a company or a person at $0.01, and intent signals on LinkedIn with 26 ready made templates in 8 categories, included with every bundle. If you already pay for a data provider you like, you can keep it and import the list.
Which layers stay?
- Your CRM. If your team lives in HubSpot, keep it. Sellinger has a two way sync with HubSpot. Salesforce, Pipedrive and Zoho are coming soon, not live. Sellinger also has a built in CRM that holds contacts, deals and the full conversation history across channels, which is enough for a small team.
- Your calendar. Cal.com and Calendly are live integrations. The agent offers times, the calendar books.
- Your note taker. Sellinger is not a note taker and does not record meetings. A Fireflies integration is live.
- Your people. They take the calls, close, and handle exceptions: price beyond the plans, complaints, anything with a legal consequence.
How do you count the cost of each layer?
Two numbers per layer: money per month, and hours per week.
- List every tool you use in outbound. Include the small ones: the warm up tool, the verifier, the spreadsheet.
- Write the monthly price, from the invoice, not from the pricing page.
- Write the weekly hours each tool costs you: setup, fixing, moving data between tools.
- Price the hours. At a $50 hour, five hours a week is about $1,000 a month.
- Add the cost of what leaks. A reply that waited a day, a lead imported twice.
Then do the same for the platform. At Sellinger list prices, one LinkedIn agent is $198 a month and the Outbound bundle is $249, and the real cost model puts a small setup at about $1,215 a month with five hours a week at a $50 hour. Competitor prices change and differ by plan, so use the dated cells in the AI SDR pricing comparison, not a figure from memory.
What does a cost sheet look like?
This is a made up template with placeholder amounts, not a quote and not real vendor prices. Fill it with your own invoices.
| Layer | Tool you use now | Invoice per month | Hours per week | Replaced by the platform? |
|---|---|---|---|---|
| Data | [name] | [amount] | [hours] | Maybe, if you use the bundled database |
| Signals | [name] | [amount] | [hours] | Maybe |
| LinkedIn automation | [name] | [amount] | [hours] | Yes |
| Email sending | [name] | [amount] | [hours] | Yes |
| Sequencing | [name] | [amount] | [hours] | Yes |
| Reply handling | People | $0 on the invoice | [hours] | Yes, with approval mode first |
| Scheduling | [name] | [amount] | [hours] | No, keep Cal.com or Calendly |
| CRM and notes | [name] | [amount] | [hours] | No, keep |
Add the invoice column, multiply the hours column by your hourly cost and by four, and add the two. That is your monthly stack cost. Do the same for the platform and compare. The reply handling row shows why hours matter: it has no invoice, so it never appears in a tool audit, yet it is often the largest line.
What does a minimal stack look like?
For a small team the smallest working stack has four parts: a platform that sends and answers, a calendar link tool, a CRM and a person who takes the calls. In Sellinger terms that is the agents on the channels you choose, Cal.com or Calendly for booking, the built in CRM or HubSpot, and your own call. A note taker is optional. Anything beyond that should earn its place by a number: what does it change in meetings held?
What are the risks of consolidating?
- One vendor, one failure. If the platform is down, everything is. Ask about uptime, support and export.
- Lock in of the history. Make sure you can export your data. Sellinger has an export your data page.
- Losing a feature you used. A niche feature of an old tool may have no equal. List the features you actually use before you switch.
- Switching everything at once. Move one campaign first.
How should you switch?
Layer by layer.
- Run the new sending and reply layer on one campaign, in approval mode, with a list of 100.
- Compare meetings held per person messaged with the same list on the old stack, if you can.
- Keep the CRM, calendar and note taker. They are the last to change, if ever.
- Retire the old tools one by one, each after a month without needing it.
The honest summary is that an AI SDR makes a smaller stack possible, not automatically a better outcome. On our own account the audience changed meetings per person tenfold. The stack decides how much work it takes. The list decides whether it works.
A checklist
- [ ] I listed every tool and its real monthly price.
- [ ] I wrote the weekly hours each one costs me.
- [ ] I know which layers the platform replaces and which stay.
- [ ] My CRM, calendar and note taker keep working with it.
- [ ] I can export my data.
- [ ] I run one campaign in approval mode before I retire anything.
Common questions
What does an AI SDR replace?
What does an AI SDR not replace?
How many tools does a typical outbound team use?
Is one platform always cheaper than several tools?
Can I switch layer by layer?
How Sellinger helps
Read how it works on See the platform, or see a real campaign in Read the Sellinger case study.