Cost to Build an AI Sales Assistant 2026:
Outbound Automation, SDR Replacement & Lead Scoring
Real infrastructure costs for AI sales assistants in 2026: outbound email generation, lead scoring, meeting prep, and conversational SDR bots. Includes per-lead, per-email, and per-meeting cost breakdowns. LLM prices verified: 2026-10-01; other service prices as last verified 2026-04-01.
4 Use Cases for AI Sales Assistants — and Their Costs
1. Lead Scoring and Prioritization
AI analyzes incoming leads (job title, company size, signals) and assigns a priority score. Very low token usage — typically 300–500 input tokens, 50 output tokens per lead.
| Model | Cost/lead scored | 1,000 leads/mo | 10,000 leads/mo |
|---|---|---|---|
| Gemini 2.5 Flash-Lite | $0.0000600 | $0.060 | $0.60 |
| GPT-6 Luna | $0.0000650 | $0.065 | $0.65 |
| Claude Haiku 4.5 | $0.000650 | $0.65 | $6.50 |
400 input + 50 output tokens per lead score. Lead scoring is so cheap — Flash-Lite is appropriate for any volume.
2. Personalized Outbound Email Generation
AI writes personalized cold emails from company/prospect data. Higher token use: 800–1,500 input tokens (CRM data + template + prospect context) + 200–400 output tokens (email body).
| Model | Cost/email | 1,000 emails/mo | 10,000 emails/mo | Quality |
|---|---|---|---|---|
| GPT-6 Luna | $0.000250 | $0.25 | $2.50 | Adequate, less nuanced |
| Claude Haiku 4.5 | $0.002500 | $2.50 | $25.00 | Good personalization |
| GPT-6.1 Sol | $0.005000 | $5.00 | $50.00 | Good personalization |
| Claude Sonnet 5.5 | $0.005000 | $5.00 | $50.00 | Best tone and research integration |
1,000 input + 300 output tokens per email. For 10K emails/month, even Sonnet 5.5 costs about $50 — much cheaper than SDR time.
3. Meeting Prep and Account Research
AI synthesizes CRM history + company news + product usage into a meeting brief. Higher token count: 3,000–8,000 input tokens (account context) + 500–1,000 output tokens (structured brief).
| Model | Cost/meeting brief | 100 meetings/mo | 500 meetings/mo |
|---|---|---|---|
| Claude Haiku 4.5 | $0.008750 | $0.88 | $4.38 |
| Claude Sonnet 5.5 | $0.017500 | $1.75 | $8.75 |
| GPT-6 Astra | $0.087500 | $8.75 | $43.75 |
5,000 input + 750 output tokens per brief. Meeting prep AI costs are negligible — the ROI is immediate vs 30 min of manual prep per meeting.
4. Conversational SDR Bot (Multi-Turn Inbound)
AI qualifies inbound leads through conversation — asks BANT questions, routes to sales, books meetings. Modeled as 8-turn conversation with 600 tokens/turn input + 200 tokens/turn output:
| Model | Cost/conversation | 1,000 convos/mo | 5,000 convos/mo |
|---|---|---|---|
| Gemini 2.5 Flash-Lite | $0.00218 | $2.18 | $10.88 |
| GPT-6 Luna | $0.00234 | $2.34 | $11.68 |
| Claude Haiku 4.5 | $0.02336 | $23.36 | $116.80 |
| Claude Sonnet 5.5 | $0.04672 | $46.72 | $233.60 |
8-turn conversation: ~15,360 total input tokens (with history) + 1,600 output tokens. Human SDR handles ~150 qualification conversations/month at ~$3,000–5,000/month.
Full AI SDR Stack: Monthly Cost at Scale
| Component | Budget stack (Flash-Lite/GPT-6 Luna) | Quality stack (Haiku/Sonnet) |
|---|---|---|
| Lead scoring (5,000 leads) | $0.30 | $3.25 |
| Email personalization (2,000 emails) | $0.50 | $5.00 |
| Meeting briefs (100 meetings) | $0.88 | $1.75 |
| SDR bot (500 conversations) | $1.09 | $11.68 |
| Vector DB + infrastructure | $80 | $80 |
| Total monthly AI cost | ~$83 | ~$102 |
| Human SDR equivalent | $4,000–8,000/month per rep | |
The Right Model by Sales Task
| Task | Recommended model | Why |
|---|---|---|
| Lead scoring | Gemini 2.5 Flash-Lite | Classification task — GPT-6 Luna or Flash-Lite is more than capable |
| Email personalization (volume) | GPT-6 Luna | Cheapest with adequate quality for outbound |
| Email personalization (enterprise) | Claude Haiku 4.5 or Sonnet 5.5 | More nuanced, better at incorporating research signals |
| Meeting briefs | Claude Haiku 4.5 | Good quality at low cost; caching for repeated system prompt |
| Call summarization | Claude Haiku 4.5 | Strong at extracting structured follow-up items |
| SDR conversation (inbound qual) | Claude Haiku 4.5 | Multi-turn coherence, better for nuanced sales conversations |
| Complex deal analysis / strategy | Claude Sonnet 5.5 or GPT-6.1 Sol | Reasoning quality matters for competitive analysis |
Outbound Email ROI Calculator
Example: 10,000 personalized emails/month using Claude Haiku 4.5 at $0.0033/email = $33/month in AI cost. If 2% convert to meetings (200 meetings), and 20% of meetings close (40 deals), and each deal is worth $5,000 ARR — that's $200K ARR generated from $33 in AI costs.
The cost of AI email generation is essentially irrelevant — the bottleneck is list quality, targeting, and offer quality, not the $0.003 per email in inference costs.
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