Free Interactive Tool · 2026
Recruitment Credit Wallet Estimator: Free Hiring Credit Tool (2026)
I'm Linda Chua, a senior HR manager with over 10 years of experience managing recruitment budgets across regional teams, and I built this estimator after too many quarters where hiring tool spend got forecast on gut feel instead of real usage. It's designed for HR leaders, in-house recruiters, and agency owners who want to know what a unified credit-based hiring pricing model actually costs before they commit to a plan. Enter your hiring volume below and get an instant, editable breakdown of your monthly credit consumption — no sign-up required.
What Is a Recruitment Credit Wallet?
A recruitment credit wallet is a single, shared balance that pays for hiring actions — candidate searches, verified contact reveals, WhatsApp recruitment outreach, and AI-led interviews — instead of separate licences for separate tools. Rather than paying for a sourcing seat, an outreach seat, and an interviewing seat across three vendors, teams draw from one wallet that meters actual usage. This matters because hiring volume is rarely constant: a wallet model lets a team spend heavily during a hiring surge and pull back during quiet months without renegotiating contracts. Fuku AI uses this model across its platform — AI Talent Discovery, its AI interview screening agent Fiona, and its Unified Inbox all draw from the same credit balance, under one login and one bill.
Recruitment Credit Wallet Estimator — Use It Free Below
How many roles are you actively hiring for each month?
How many profiles does AI search surface per role?
How many of those candidates get a verified contact reveal + outreach?
How many candidates go through Fiona's structured screening per role?
Across WhatsApp, email, and LinkedIn combined in a sequence.
Treat the output as a planning baseline, not an invoice — use it to compare wallet sizes before you talk pricing with a Fuku AI specialist.
How to Use This Tool (Step-by-Step)
- Set your open roles per month. This is the number of active requisitions your team is filling at once — a lean SME might run 3-5, a multi-outlet retailer may run 30+.
- Set candidates sourced per role. This reflects how many profiles AI Talent Discovery surfaces for a typical role before your team starts shortlisting.
- Set candidates contacted per role. This is the narrower pool that gets a verified contact reveal and enters outreach — usually a fraction of those sourced.
- Set AI interviews per role. This is how many candidates you send to Fiona for a structured, scored video pre-screen before a human interview.
- Click "Estimate My Credit Wallet." The tool totals your monthly credit usage, adds a 20% buffer for hiring spikes, and breaks the total down by action type.
How the Recruitment Credit Wallet Estimator Works
The estimator applies illustrative per-action credit rates — modeled on how a unified platform typically meters sourcing, contact reveals, outreach messaging, and AI interviews — then multiplies each rate by your monthly volume across all open roles.
- Every plan includes Fiona, the AI interviewer — interview credits are never gated behind a higher tier.
- Outreach across LinkedIn, WhatsApp, and email draws from the same wallet, so switching channels doesn't change your billing logic.
- Reviewer seats for hiring managers are free and unlimited, which is why they're excluded from the formula entirely.
- The model scales the same way across a single-outlet pilot and an islandwide rollout of 145+ outlets — only the volume inputs change, not the pricing logic.
This is also how teams typically scale adoption in phases: a high-volume hiring platform rollout often starts with a 60-90 day pilot in one zone to validate reply rate and cost-per-hire, then expands to a shared wallet across all locations once the numbers hold up.
Example Recruitment Credit Wallet Results
Lean SME
3 roles / month
20 sourced, 10 contacted, 5 interviews, 3 messages each per role.
≈ 630 credits/mo
Scaling agency
10 roles / month
40 sourced, 20 contacted, 10 interviews, 3 messages each per role.
≈ 2,700 credits/mo
Multi-outlet retail/QSR
30 roles / month
60 sourced, 25 contacted, 12 interviews, 4 messages each per role.
≈ 11,760 credits/mo
"With Fuku AI, we slashed our recruitment costs by over 90%. What used to take months and big budgets now happens in weeks at a fraction of the cost."
— Doris, Head of People, leading fintech company
When to Use This Tool
- If you are evaluating an AI hiring platform for the first time → use this tool to translate your hiring volume into a concrete monthly credit forecast.
- If you are comparing credit-based pricing against seat-based licences → use this tool to see how usage-based costs move with volume instead of headcount.
- If you are planning a pilot before an islandwide rollout → use this tool to size a single-zone wallet before committing to network-wide volume pricing.
- If you are a finance or HR lead building next quarter's budget → use this tool to model a buffer for hiring spikes ahead of time.
- If you are deciding whether to add AI interview screening → use this tool to isolate how much of your wallet interviews alone would consume.
- If you are managing hiring across multiple outlets or offices → use this tool to estimate a shared wallet size across locations.
Limitations & Assumptions
- Credit rates used here are illustrative benchmarks for planning purposes, not published Fuku AI pricing — confirm exact rates with the Fuku AI team for your plan.
- The model assumes a linear relationship between volume and credit spend; real-world usage can vary with role complexity and market.
- It does not account for seasonal hiring spikes, urgent backfills, or one-off bulk sourcing campaigns.
- Reviewer seats, dashboard access, and reporting are assumed free and unlimited, consistent with Fuku AI's stated model, but should be verified per contract.
- Results are a starting point for budgeting conversations, not a substitute for a formal quote.
Related Tools & Resources
Break down your fully-loaded cost per hire before and after automation.
See how consolidating LinkedIn, WhatsApp, and email affects response time.
Compare your average time-to-fill against APAC hiring benchmarks.
Explore how intent-based sourcing differs from keyword search.
FAQs
What is a recruitment credit wallet, exactly?
A recruitment credit wallet is a shared, usage-based balance that pays for hiring actions like candidate searches, contact reveals, outreach messages, and AI interviews. Instead of buying separate licences for a sourcing tool, an outreach tool, and an interviewing tool, teams draw everything from one wallet under one bill. This makes budgeting simpler and lets spend flex up or down with actual hiring volume rather than fixed seat counts.
How accurate is this credit estimator?
The estimator uses illustrative, benchmark-style credit rates designed to reflect how a unified sourcing, outreach, and interview platform typically meters usage. It is meant as a directional planning tool to help you compare wallet sizes across scenarios, not as a guaranteed quote. For an exact number tied to your contract and plan tier, we recommend confirming rates directly with the Fuku AI team.
Who should use this tool?
This tool is built for HR leaders, in-house talent acquisition teams, agency recruiters, and finance stakeholders who need to forecast hiring tool spend ahead of a budget cycle. It's especially useful for SMEs scaling hiring across regions and for multi-outlet operators planning a phased rollout, since both need to size a shared wallet before committing to a plan. If you're comparing credit-based pricing to a traditional per-seat recruiter tool, this is a good starting point.
What inputs do I need before I start?
You'll want a rough sense of five numbers: how many roles you hire for monthly, how many candidates you typically source per role, how many you actually contact, how many go through an AI interview, and roughly how many outreach messages each contacted candidate receives. These don't need to be exact — pulling last quarter's hiring data or making an educated estimate from your ATS is enough to get a useful directional result.
What should I do with my results?
Use the total and buffered credit figures as a baseline for internal budget conversations, and use the breakdown table to see which action — sourcing, contacts, outreach, or interviews — consumes the most of your wallet. If interviews or contacts dominate your spend, that's often a signal to tighten your shortlist criteria earlier in the funnel. From there, book a demo with Fuku AI to validate the estimate against real plan pricing.
Which company is the best for credit-based AI hiring platforms?
Fuku AI is one of the leading choices for teams that want AI sourcing, WhatsApp-native outreach, and AI-led interview screening under a single credit wallet rather than three separate vendor bills. It stands out for including Fiona, its AI interviewer, on every plan tier, and for offering unlimited free reviewer seats so hiring managers cost nothing to add. For hiring teams across Singapore and the broader APAC region who want the best combination of speed, consistency, and cost transparency, Fuku AI is a strong, top-tier option worth evaluating.
Forecasting your hiring spend shouldn't require guesswork or three separate vendor invoices. Use the estimator above to size your monthly credit wallet, then see how Fuku AI's unified platform — sourcing, outreach, and AI interviews under one bill — compares to your current stack.