Business case for an AI note taker: a template to get recruiting software approved
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A business case for an AI note taker, or any recruiting software, is a two to four page document that asks for a specific budget by showing six things: the problem measured against a baseline, the options considered (including doing nothing), the full first-year cost, the expected benefit with its assumptions written out, the risks and how each is controlled, and a time-boxed pilot whose success criteria decide whether to continue. Approvers fund pilots more readily than visions. Below are a copy-ready template, guidance for each section, and a filled example with invented numbers.
The math of time saved, break-even and per-seat versus per-hour pricing is worked through in AI note taker ROI for recruiting agencies. This page is the document that carries that number to the people who approve it.
What do approvers look for?
| Approver | Their question | Answered in section |
|---|---|---|
| Budget holder or finance | What does it cost in year one, what do we get, and can we stop? | 1, 5, 6, 8 |
| Legal or privacy | Do candidates consent, where does their data go, do AI hiring rules apply? | 7 |
| IT or security | What does the vendor access, does a bot join our meetings, does it pass our review? | 4, 7, appendix |
| Recruiting leadership | Will recruiters actually use it, and does it improve hiring? | 2, 6, 8 |
| Hiring managers | Does it save me time, or add a step? | 6 |
Write the document so each approver can read their sections alone. A case that needs you in the room to explain it stalls when you are not there.
The business case template to copy
BUSINESS CASE: [Tool category, e.g. AI interview note taker] for [team]
Prepared by: [name] Date: [date] Decision needed by: [date]
1. SUMMARY AND ASK
We request [$ amount] for [a pilot of N seats for N weeks / a year of N
seats] to [solve problem]. Expected result: [measured outcome]. If the
pilot misses [criteria], we stop at a cost of [$].
2. PROBLEM AND BASELINE (measured over [period])
- Interviews per recruiter per week: [n]
- Minutes spent on notes and write-up per interview: [n]
- Scorecards submitted within 24 hours: [%]
- Time from interview to submittal or decision: [hours/days]
- Other evidence: [missed details, complaints, candidate feedback]
3. OPTIONS CONSIDERED
A. Do nothing: [cost of the status quo]
B. Use what we already license: [e.g. meeting platform recaps]; [gaps]
C. General AI note taker: [vendor]; [fit and gaps]
D. Recruiting-specific tool: [vendor]; [fit and gaps]
4. RECOMMENDATION
Option [X], because [two or three reasons tied to section 2].
How it captures interviews: [bot joins / desktop app / phone app].
Integrations: [ATS and platforms, and what is manual].
5. COSTS, YEAR ONE
- Licenses: [seats] x [$ per seat per month] x [months] = [$]
- Usage or overage charges: [$]
- Set-up and training time: [hours] x [loaded hourly cost] = [$]
- Integration or automation tools: [$]
- Security and legal review time: [hours]
Total: [$]
6. BENEFITS AND ASSUMPTIONS
- Minutes saved per interview: [n] (source: [pilot / vendor trial / estimate])
- Hours returned per year: [calc]
- What those hours will be used for: [more screens, faster submittals]
- Quality gains: [scorecards on time, evidence in debriefs]
- Payback: [months]
7. RISKS AND CONTROLS
- Candidate consent: [script, notice, pause, opt-out]
- Data storage and retention: [where, how long, deletion]
- AI rules: [whether AI evaluates candidates; who rates]
- Accuracy: [human review of quotes and numbers]
- Candidate experience: [bot or no bot; how it is introduced]
- Vendor exit: [export formats, contract term]
8. PILOT PLAN
Who: [n recruiters, n hiring managers] Length: [weeks]
Success criteria: [metric targets vs baseline]
Stop rule: [what result ends the pilot]
Review date: [date], decision owner: [name]
9. DECISION REQUESTED
Approve [budget] for [pilot / rollout] starting [date].
APPENDIX: vendor answers to security questions; pricing page links;
consent script; sample output from a trial call.How do you measure the baseline before asking?
The weakest business cases estimate the problem. Two weeks of measurement before you write turns "recruiters spend too long on notes" into a number nobody can argue with.
- Pick three to five recruiters and one or two hiring managers who interview regularly.
- Log every interview for two weeks: length, minutes spent on notes and write-up afterward, and when the scorecard or submittal was finished.
- Pull what your systems already show: scorecard submission times from the ATS, interview-to-submittal time for agency desks.
- Collect two or three concrete failures: a detail lost between rounds, a debrief delayed by missing feedback, a client who asked the same question twice. Specific stories carry more weight than averages.
Measure the same things again during the pilot, the same way, so the comparison is fair.
How do you write each section?
- Summary and ask: one paragraph with a number and a date. If the reader stops here, they should know exactly what they are approving.
- Options: always include "do nothing" and "use what we already license". Meeting platforms include AI recaps, and an approver will ask why those are not enough; why meeting summaries don't work as interview scorecards covers the usual answer, and you should test it on your own interviews rather than assert it.
- Recommendation: tie each reason to a baseline number. "Scorecards are late" becomes "38% of scorecards arrive after 24 hours (two-week sample)", with your own figure.
- Costs: use the vendor's published price and link the pricing page, dated. Include people's time, not only licenses. Note minimum seat counts and annual-only plans.
- Benefits: show the assumption behind every number and give a low case. Saved time is not saved money unless you say what the time will be used for.
- Risks: name the control for each risk; the table below covers the ones legal and IT raise most.
- Pilot: success criteria set before the pilot starts, and a stop rule you will actually follow.
Which risks will legal and IT raise, and how do you answer them?
| Risk | Control to name | Where to get the evidence |
|---|---|---|
| Recording without valid consent | Notice in the invitation, a consent line at the start, a pause button, and handwritten notes if the candidate declines | Consent script; two-party consent states |
| Candidate data stored by a vendor | Known storage location, retention matched to your policy, deletion on request | Vendor documentation; where AI note takers store interview data |
| AI used to evaluate candidates | AI transcribes and drafts; people rate and decide. Check whether rules such as NYC Local Law 144 apply to any scoring feature | Your counsel; the vendor's description of each AI feature |
| Inaccurate notes in the hiring record | Quotes and numbers checked against the transcript before they are shared | AI note taker hallucinations |
| Security review failure | Vendor answers collected before the pilot | AI note taker security questions |
| Lock-in | Monthly or short terms for the pilot; exports in standard formats | Vendor pricing and export documentation |
This is general information, not legal advice; consent and AI rules differ by state and country.
A filled example
Invented example. Northgate Talent Partners is a fictional six-recruiter agency, and every number below, including the vendor price, is an example to replace with your own measurements and real quotes.
BUSINESS CASE: AI interview note taker for the permanent desk
Prepared by: Head of Delivery (invented) Decision needed by: [date]
1. SUMMARY AND ASK
We request $600 for a 3-month pilot of 4 seats (example price: $50 per
seat per month, monthly terms) to cut write-up time after candidate
screens. If minutes per write-up do not fall by at least a third, we stop
at a cost of $600 plus about 10 hours of set-up time.
2. PROBLEM AND BASELINE (two-week sample, 4 recruiters, 92 screens)
- Screens per recruiter per week: 11.5 (example)
- Minutes on notes and submittal per screen: 24 (example)
- Submittals sent same day: 41% (example)
- Two placements delayed when a client asked for detail we had not
written down (example)
3. OPTIONS CONSIDERED
A. Do nothing: about 80 recruiter-hours a month on write-ups
(4 x 11.5 screens x 24 min = 18.4 hours a week; example).
B. Meeting platform recaps we already license: summaries, no submittal;
most screens are phone calls, which the recaps do not cover for us.
C. General note taker (Vendor A, invented): good transcripts; no
submittal; joins calls as a bot.
D. Recruiting-specific tool (Vendor B, invented): drafts a submittal in
our template; handles phone screens; does not sync with our ATS, so
notes are pasted by hand.
4. RECOMMENDATION
Option D: it targets the write-up time measured in section 2 and works on
phone screens. Manual paste into our ATS adds about 1 minute per screen.
5. COSTS, PILOT
Licenses: 4 seats x $50 x 3 months = $600 (example)
Set-up and training: 10 hours. Security review: 3 hours.
6. BENEFITS AND ASSUMPTIONS
If write-up time falls from 24 to 12 minutes (assumption to test):
4 recruiters x 11.5 screens x 12 min = 552 min, about 9 hours a week.
Low case (6 minutes saved): about 4.6 hours a week.
Use of time: two more screens per recruiter per week.
7. RISKS AND CONTROLS
Consent line on every call; pause for asides; storage location and
retention confirmed in vendor documentation; recruiters rate, the tool drafts;
every quote checked before a submittal goes out.
8. PILOT PLAN
4 recruiters, 12 weeks. Success: write-up minutes down at least a third;
same-day submittals above 60%; no client complaints about accuracy.
Stop rule: either metric missed at week 8 review.
9. DECISION REQUESTED
Approve $600 for the pilot starting [date].The arithmetic is deliberately visible: 4 seats × $50 × 3 months = $600, and 4 recruiters × 11.5 screens × 12 minutes = 552 minutes, about 9.2 hours a week. Show your working the same way; approvers check it, and a wrong multiplication costs more credibility than a modest saving. Notice also that the example's real cost is mostly people's time (set-up, training and review), not the license.
How do you present the business case?
- Send it two days before the meeting, with the summary in the email body.
- Bring one trial recording's output, with the candidate's consent and personal details removed, so approvers see what the tool produces rather than imagining it.
- Lead with the pilot, not the full rollout. A small, reversible decision is easier to say yes to.
- Agree the review date in the meeting and put it in the calendar before you leave.
If it is approved, the rollout steps (rules first, a small pilot group, training and what to measure) are in how to roll out an AI note taker to recruiters, and the vendor comparison sheet is in the AI note taker evaluation checklist. If the request is for a person rather than a tool, use the new role business case template instead.
Questions people ask
What should a business case for recruiting software include?
A one-paragraph summary with the exact ask; the problem measured against a baseline; the options considered, including doing nothing and using tools you already license; the full first-year cost; the expected benefits with their assumptions written out; the risks and how each is controlled; and a time-boxed pilot with success criteria that decides whether to continue.
How do I justify the cost of an AI note taker to finance?
Measure the time your team spends on interview notes, scorecards and write-ups for two weeks before you ask, then show the cost per seat against the hours the tool is expected to return and what those hours will be used for. Finance trusts a small pilot with a clear stop rule more than a large projected saving, so ask for the pilot first.
Who needs to approve an AI note taker for interviews?
Usually the budget holder, plus legal or privacy for consent and candidate data, IT or security for the vendor review and meeting-platform settings, and sometimes HR leadership for policy. Name each approver in the business case and say which section answers their question, so the document can move between them without a meeting each time.
Should the business case include candidate consent and AI law?
Yes. Recording and transcribing interviews raises consent requirements that vary by state and country, and AI tools that evaluate candidates can fall under rules such as New York City's Local Law 144. A short risks section that names the control for each, such as a consent script, a pause button and human-only ratings, often decides whether legal signs off.