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This week in your team
UPDATED 09:42 WAT● AI STORY · Engineering
Hiring is running 19 days ahead of last quarter, and the mobile team's sentiment jumped after Thursday's release. Two people are trending toward a flight-risk range. It might be worth a 1:1 this week with Ifeoma and Kweku.
Time to fill, last 7 weeks -34%
Today live
0Open roles
0New candidates
0Pending approvals
As seen in
The outcome
What happens when your HR data actually works.
0%
Fewer unqualified applications, filtered by AI before you ever see them.
0%
Of onboarding admin eliminated. That time goes back to your people.
0days
Average time to hire across roles posted on Careersome.
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One platform. Every stage.
Most HR teams use five to eight tools and still can't answer basic questions.
Careersome connects every stage in one system so your data finally tells you something useful. Click through a few of the modules below.
AI Stories
Learn more about Stories →HR insights written in plain English, not pivot tables.
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- For employees, your performance in human language, not a form score
- For managers, a weekly summary of what the team actually did
- For executives, an honest read on org health, before it becomes attrition
> how is engineering trending this month?
Engineering is shipping 19% more than last month, and sentiment climbed after Thursday's release. Two people are in the flight-risk band. It's worth a 1:1 this week with Ifeoma and Kweku.
> anything worrying?
Compensation is 4.6% below market for senior mobile roles in Lagos. That's the strongest signal behind the flight-risk flags above.
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Most HR software was built for London or San Francisco. Careersome was built in Lagos.
Careersome was designed for the real texture of running teams across Lagos, Nairobi, Accra and Johannesburg. No more spreadsheets. No more chasing managers on WhatsApp. One system, live data, and an AI that understands your context.
Numbers that match reality, always.
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Spot problems before they happen.
See who might be about to leave before they hand in notice. Catch performance drift before the next review cycle. Decide from what's happening, not from what happened last quarter.
flight riskearly signals
95% time saved on onboardingAI-powered candidate matching67% fewer junk applications21-day time to fillSame-day leave approvals360° feedbackPay equity analyticsSOC 2 Type I compliant95% time saved on onboardingAI-powered candidate matching67% fewer junk applications21-day time to fillSame-day leave approvals360° feedbackPay equity analyticsSOC 2 Type I compliant
Straight answers
The things people always ask us before they sign up.
Pricing, modules, compliance, rollout. If you don't see your question here, the fastest answer is usually a 15-minute call with our team.
What is Careersome, and how is it different from the HR tools we already use?+
Most HR tools store your people data. Careersome makes sense of it. Instead of five dashboards and a pivot table, you get plain-English insights written from live data, across recruitment, performance, compensation and time off, all in one place.
Do I have to adopt the full platform, or can I start with one module?+
Start with one. Most teams begin with Recruitment or Time off and grow into the rest. The value compounds as more modules share the same data layer, but there's no "all or nothing."
Is Careersome built for African compliance and labour law?+
Yes. Payroll logic, leave entitlements, statutory reports and data residency are tuned for Nigeria, Kenya, Ghana and South Africa, with more jurisdictions added quarterly.
How long does it take to get up and running?+
Under a week for teams up to 50. For larger orgs, we run a structured 2 to 4 week rollout with a named onboarding lead, no slide decks, just your actual data migrated alongside you.
How does pricing work, per employee, per module, or both?+
Per employee, with a simple Lite / Core / Enterprise tier. Modules are unlocked by tier, not billed individually. Transparent pricing lives on the pricing page, no "contact sales" before you see a number.
Can Careersome handle blue-collar, pink-collar and remote workers together?+
Yes. Shift timesheets, biometric check-ins, remote geofencing and desk-worker flows live inside the same platform, so one report shows your whole workforce, not just part of it.
How does the AI learn what's normal for my specific business?+
Your models are your models. The AI is scoped to your org's data and tuned during onboarding. Nothing is trained on other customers, and sensitive signals stay inside your workspace.
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