
Transparent opportunity matching and shortlist platform
Reduce time to a defensible shortlist while keeping candidates informed.
- For
- Recruiters and hiring managers filling skilled roles in small and mid-sized companies
- Solves
- Screening, skill assessment, outreach writing and onboarding run in separate tools, so shortlists are slow and candidates cannot see why they were matched.
- Delivers
- Reviewer-approved shortlist with visible match reasons
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce time to a defensible shortlist while keeping candidates informed.
- Screen and filter applicants against stated requirements.
- Assess technical and soft skills with structured tasks.
- Match candidates to roles and show the reasons for each match.
- Customize job postings and candidate profiles.
- Track recruitment progress and candidate status on a dashboard.
- Sync with HR and applicant tracking systems.
- Report hiring analytics and effectiveness.
- Generate outreach, article and social copy.
- Correct grammar and style in generated copy.
- Adjust tone for different audiences.
- Offer real-time writing suggestions.
- Connect to common workplace platforms.
- Source and onboard talent across regions.
- Handle contracts, compliance checks and onboarding steps.
- Manage payments and benefits records.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned reviewer-approved shortlist with source references and unresolved questions.
Everything these tools do, in one app
- Automated candidate screening Automatically screens and filters candidates to reduce manual effort.Found in Talently.ai, devpilot, Crew
- AI-driven skill assessment Uses AI to assess candidates' skills and match them to job requirements.Found in Talently.ai, devpilot
- Candidate-job matching Matches candidates with suitable job opportunities based on skills and fit.Found in Talently.ai, devpilot, Crew
- Customizable job posting Allows customization of job postings and candidate profiles.Found in Talently.ai
- Recruitment progress dashboard Provides a dashboard to track recruitment progress and candidate status.Found in Talently.ai
- HR/ATS integration Integrates with popular HR and applicant tracking systems.Found in Talently.ai
- Hiring analytics and reporting Offers analytics and reporting to evaluate hiring effectiveness.Found in Talently.ai
- Soft skills evaluation Considers soft skills alongside technical skills in candidate evaluation.Found in devpilot
- Virtual assistant support Provides a virtual assistant to support developers and recruiters.Found in devpilot
- AI content generation Generates content for articles, emails, and social media posts.Found in Airolla
- Grammar and style correction Corrects grammar and style to improve clarity and readability.Found in Airolla
- Tone customization Allows customization of tone to match different writing styles.Found in Airolla
- Real-time writing suggestions Provides real-time suggestions to enhance vocabulary and sentence structure.Found in Airolla
- Platform integration Integrates with popular platforms for seamless workflow.Found in Airolla
- Global talent sourcing Enables sourcing and onboarding of talent from around the world.Found in Crew
- Compliance and onboarding Handles contracts, compliance standards, and employee onboarding.Found in Crew
- Payment and benefits management Manages payments and benefits within the platform.Found in Crew
What goes in, what comes out
- Job requirements
- Candidate profiles
- Assessment results
- Hiring constraints
AI drafts, people review. Transparent opportunity matching and shortlist platform.
- Reviewer-approved shortlist with visible match reasons
How it works
The workflow
- InStart with
Job requirements, candidate profiles, assessment results and hiring constraints
- 1
Confirm the buyer's problem and scope
- 2
Collect job requirements
- 3
Candidate profiles
- 4
Assessment results and hiring constraints
- 5
Then follow this sequence: 1
- OutFinish with
Reviewer-approved shortlist with visible match reasons
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for scoring rules, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final hiring decisions, compliance judgments and payment approvals remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Role brief and requirements, Candidate review and shortlist, Outreach and onboarding. Use a list of open roles, a central candidate comparison canvas, and a right-hand panel for match reasons, assessment evidence and comments. Let users compare candidates side by side. Display screened, assessed, shortlisted and hired states. Provide a candidate-facing view showing why they were matched and what happens next. Make the task-specific outcome reviewer-approved shortlist with visible match reasons visible beside its evidence, review state and value baseline.
Accounts and administration
Role ownership, candidate record versions, reviewer comments, approval states, sourcing regions, compliance documents, onboarding checklists, payment records and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Employer-owned job descriptions, authorized candidate profiles and permitted assessment sources. HR and applicant tracking systems, calendar and email, workplace platforms and payment providers. Start with file exchange and validate destination specifications before promising direct ATS writes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
6 daysOne buyer segment, one recurring use case; first modules: screen and filter applicants; assess technical and soft skills; match candidates to roles with visible reasons. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will recruiters and hiring managers filling skilled roles in small and mid-sized companies use it to solve "screening, skill assessment, outreach writing and onboarding run in separate tools, so shortlists are slow and candidates cannot see why they were matched"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Shortlists accepted per recruiter hour and candidate drop-off after first contact.
- Measure, then decide. Track shortlists accepted per recruiter hour and candidate drop-off after first contact; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One role family and one hiring region; final hiring, compliance and payment decisions remain human. Implement one approved input format, a bounded representative candidate set and the first three task modules: screen and filter applicants; assess technical and soft skills; match candidates to roles with visible reasons. Support the remaining modules with operator review: customizable postings, progress dashboard, HR/ATS sync, analytics, copy generation, grammar and tone, real-time suggestions, platform connections, global sourcing, compliance and onboarding, payments and benefits. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified HR/ATS integration. Expand supported role families and candidate volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved shortlist with visible match reasons. Retain the explicit scope boundary: One role family and one hiring region; final hiring, compliance and payment decisions remain human.
What the build depends on. Candidate upload and preview, asynchronous assessment jobs, editable version history, reviewer access and tested export formats. High-fidelity hiring requires specialist compliance QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One role family and one hiring region; final hiring, compliance and payment decisions remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: screen and filter applicants; assess technical and soft skills; match candidates to roles with visible reasons. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $40–$90 | $70–$150 |
| Full productabout 50 customers | $110–$210 | $280–$560 | $390–$770 |
Run it or resell it
For your own team
Recruiters and hiring managers filling skilled roles in small and mid-sized companies run it inside the business: job requirements, candidate profiles, assessment results and hiring constraints in, reviewer-approved shortlist with visible match reasons out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#279163 - accent
#c95466 - surface
#e4f1eb - ink
#22201e
- Headings
- DM Serif Display
- Text
- DM Sans
- Voice
- Fair, human, straightforward
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined role family. Offer a monthly hiring allowance after repeat demand. Quote multi-region sourcing, compliance or payment handling separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved shortlist with visible match reasons. Recurring fees must specify role volume, review depth and integration support. For payments, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce time to a defensible shortlist while keeping candidates informed. Demonstrate a concrete reviewer-approved shortlist with visible match reasons using the buyer's approved role and show the baseline, corrections and actual delivery effort.
Where to find buyers
Recruiters and hiring managers filling skilled roles in small and mid-sized companies professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample reviewer-approved shortlist with visible match reasons from a small authorized candidate set, with a transparent calculation of shortlists accepted per recruiter hour and candidate drop-off after first contact and no promised savings.
The first 30 days
- Week 1: interview five recruiters and hiring managers filling skilled roles in small and mid-sized companies and inspect a recent example of screening, skill assessment, outreach writing and onboarding run in separate tools, so shortlists are slow and candidates cannot see why they were matched.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure shortlists accepted per recruiter hour and candidate drop-off after first contact, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Shortlists accepted per recruiter hour and candidate drop-off after first contact. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Shortlists accepted per recruiter hour and candidate drop-off after first contact; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs a reviewer-approved shortlist with visible match reasons. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved role criteria, assessment tasks and review examples, together with reliable delivery for a narrow hiring niche. Build a permissioned library of representative hiring cases, reviewer corrections and verified operating constraints for recruiters and hiring managers filling skilled roles in small and mid-sized companies. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Talently.ai, devpilot, Airolla, Crew, job boards, staffing agencies and manual spreadsheets. Compare this product with the buyer's present method on shortlists accepted per recruiter hour and candidate drop-off after first contact. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Assessment generation, model calls, storage, reviewer hours, candidate communication rounds and compliance checks. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved shortlist with visible match reasons. Track cost per accepted shortlist, including correction work, unsuccessful cases and support.
Safeguards
Preserve candidate privacy, source attribution, assessment accuracy and usage permissions. Hiring managers approve substantive decisions and offer scope. One role family and one hiring region; final hiring, compliance and payment decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.