Your team profile
Team & hiring volume
Adjust to match your organisation's size and hiring pace.
Features in use
Select the AI features your team will use
Each feature uses a different number of AI tokens. Toggle what's relevant to your workflow.
Usage intensity
How intensively will AI be used?
This scales daily usage across all selected features.
LIGHT
A few AI actions per day per recruiter. Good for teams just getting started.
MEDIUM
Regular daily use across all key features. Typical for active TA teams.
HEAVY
AI is central to every workflow. High-volume, always-on usage.
Projected cost breakdown
Monthly AI cost
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across all features
Annual AI cost
—
projected full year
Cost per hire
—
AI cost attributed per placement
Cost per recruiter/yr
—
vs platform value delivered
Based on Claude Sonnet 4 pricing at $3/M input tokens, $15/M output tokens, with a 5× platform margin applied.
| Feature | Uses / month | Tokens / use | Monthly cost |
|---|
Time savings analysis
Hours saved per year across your team
Based on your team size and typical time spent on manual equivalents of each AI task.
Hours saved / year
—
across your whole TA team
Salary equivalent
—
at your avg. recruiter cost
AI annual cost
—
your projected spend
Net ROI
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value returned vs cost
Additional value drivers
Beyond time savings
These benefits are harder to quantify but consistently reported by enterprise TA teams.
Faster time-to-fill
AI shortlisting, automated screening, and instant scheduling compress the hiring cycle. Industry benchmark: 28–40% reduction in time-to-fill.
—
days saved / hire
Recruiter capacity increase
With AI handling screening, scheduling, and admin, each recruiter can manage more open roles simultaneously without quality loss.
+35%
more roles per recruiter
Candidate experience uplift
Faster responses, consistent communication, and personalised outreach improve offer acceptance rates and employer brand perception.
+22%
offer accept rate
Compliance & consistency
Structured AI screening, bias detection, and audit trails reduce legal risk and ensure every candidate is assessed on the same criteria.
100%
audit coverage
Headcount avoidance
Every 35% capacity increase per recruiter delays the need for an additional hire. At scale, this represents significant payroll savings.
—
FTEs deferred
Executive summary
Ready to share with finance and leadership
Vercentic AI — Business Case Summary
AI-powered recruiting will deliver a 12× return on investment
Configure the calculator to generate your personalised summary.
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Annual AI investment
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Salary-equivalent value
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Payback period
Where the value comes from
Breakdown of annual time savings converted to salary equivalents at your recruiter cost.
Total annual value delivered
—
5-year projection
Cumulative AI cost vs. value delivered, assuming 15% annual usage growth.
| Year | AI cost | Value delivered | Net benefit | Cumulative ROI |
|---|
Assumptions & methodology
Transparency on how these figures are calculated.
• Time savings are based on industry research and Vercentic platform usage data. Manual equivalents assume an experienced recruiter performing the same task without AI assistance.
• AI costs are calculated using Claude Sonnet 4 list pricing ($3/M input tokens, $15/M output tokens) with a 5× platform margin applied, reflecting Vercentic's bundled AI credit model.
• Salary-equivalent value uses your configured average recruiter salary, divided by 250 working days × 8 hours to derive an hourly cost.
• Headcount avoidance assumes each recruiter manages 35% more requisitions with AI assistance, deferring the need for additional hires.
• 5-year projections assume 15% compound annual growth in AI usage as adoption deepens across the team.
• These figures are estimates intended for internal planning purposes. Actual results will vary based on adoption rates, team workflows, and specific use cases.
How AI pricing works in Vercentic
The AI credit model
Every AI action in Vercentic consumes tokens — units of text processed by the AI model. Here's how that translates to cost.
$3
per 1M input tokens
Text sent to the AI (your prompts, context, records)
$15
per 1M output tokens
Text generated by the AI (responses, drafts, analysis)
5×
Platform margin
Covers infrastructure, reliability, and platform management
AI credits are pre-purchased and assigned per environment. Your Super Admin console shows real-time usage, remaining balance, and per-feature breakdowns so you're never surprised by a bill.
Per-feature token guide
Typical token consumption by feature
These averages are measured from real platform usage. Actual usage varies based on record size, conversation length, and context.
What a token looks like
Putting tokens in context
~750
words per 1,000 tokens
~1
word ≈ 1.3 tokens on average
2–4k
tokens for a typical copilot exchange
$0.002
approximate cost per copilot message
Example: A typical working day for one recruiter
8 copilot conversations · 3 CV parses · 1 JD draft · 5 candidate matches · 2 interview schedules
≈ 42,000 tokens · ≈ $0.63 at list · ≈ $3.15 with platform margin
≈ 42,000 tokens · ≈ $0.63 at list · ≈ $3.15 with platform margin
Tips for managing AI costs
✓Set per-environment budgets in the Super Admin console. Get alerts at 75% and 90% usage so you're never caught off guard.
✓CV parsing is the highest-volume feature for high-throughput teams. Consider batch-uploading CVs during off-peak hours if you're monitoring costs closely.
✓JD generation has the highest per-use cost but is used infrequently. At 0.3 uses/recruiter/day it rarely dominates spend.
✓Translation is a one-time cost per language — generate Arabic once, and it's cached for all future sessions at no additional cost.
✓Monitor by user in the Admin Dashboard AI tab to spot outliers and ensure credits are being used productively.