What is AI HR?

AI for HR covers the administrative side of the function: screening and ranking applications against stated criteria, answering staff questions from your own handbook, and driving onboarding paperwork to completion, while leaving hiring and disciplinary judgements with people.

HR time disappears into two places. Reading applications, most of which will not proceed, and answering the same staff questions about leave balances, pay dates and policy wording.

Both automate well because both are high volume and rule driven. Applications are screened against criteria you set and ranked with reasons attached. Staff questions are answered from your own handbook rather than from a general knowledge base.

What stays with people is every decision that affects somebody employment. The system sorts, summarises and answers. It does not reject candidates or resolve grievances.

What we refuse to automate in hiring

Duara implements HR automation from Nairobi, most often for businesses receiving more applications than anybody can realistically read.

We refuse to build automatic rejection, and we say so before the scoping call rather than after. Screening that discards candidates without human review is both a fairness problem and a legal exposure, and the time saved is small compared with the ranking that we will build.

Who this is for

  • You receive more applications than you can read
  • HR answers the same questions every week
  • Onboarding steps get missed
  • Leave requests are tracked in email

Industries we serve

  • Retail chains
  • Manufacturing
  • Hospitality groups
  • Logistics operators
  • Healthcare providers
  • Professional services firms

Problems this solves

These are the four situations where HR automation returns real hours rather than simply adding a system.

What we deliver

Applications screened and ranked with reasons, staff questions answered from your handbook, onboarding tracked to completion, and every employment decision left with a person.

Applications screened and ranked against your stated criteria

Reasons attached to every ranking so it can be challenged

Staff questions answered from your own handbook

Onboarding checklists triggered and tracked to completion

Leave requests routed through your approval rules

A record of what was asked and what was answered

Features

Benefits

  • Every applicant gets read. Ranking means the whole pile is assessed on the same basis rather than the first thirty getting attention.
  • HR stops being interrupted. Routine questions are absorbed, which returns the function to work that needs judgement.
  • New starters begin properly. Nothing is missed on day one, which affects how quickly somebody becomes useful.
  • Candidates hear back. Even unsuccessful applicants receive a reply, which costs nothing and protects your reputation as an employer.

Technologies we use

Fairness constraints shape the technology here more than capability does. We deliberately build less than is possible.

How the process works, step by step

HR automation typically reaches live use in four to five weeks, with screening running in parallel with manual review at first.

  1. Step 1

    Free volume review

    We establish application volumes and the questions HR answers most often, which sets the scope.

  2. Step 2

    Criteria and policy capture

    We write down the screening criteria explicitly and gather the handbook the answers will come from.

  3. Step 3

    Parallel screening

    The system ranks while your team also reviews manually, so you can see whether the ranking agrees with your judgement.

  4. Step 4

    Staff question rollout

    The handbook assistant goes live for staff, with sensitive topics escalating from day one.

  5. Step 5

    Onboarding automation

    Checklists and reminders are switched on once screening and questions are settled.

Quality assurance and how we work

The commitments that apply when a system touches employment decisions.

Frequently asked questions about AI HR

Can it reject candidates automatically?

No, and we will not build it. Discarding applications without human review is a fairness and legal exposure we decline to create, and we say so at scoping.

So what does screening actually do?

It ranks every application against criteria you state, with the reasoning shown, so the whole pile is assessed on the same basis.

How do we know the ranking is fair?

Criteria are explicit and every ranking shows its reasoning, so the basis can be examined and argued with rather than taken on trust.

Where do staff answers come from?

Your own handbook and policy documents only, with the source shown, so nobody receives a generic answer that contradicts your terms.

What about grievances or pay disputes?

Those escalate to a person immediately, before any answer is generated. That limit is built in rather than left to judgement.

Does it integrate with our HR platform?

Yes, to the common HRIS and payroll systems, so leave balances and records stay authoritative rather than duplicated.

Does it process leave through our own rules?

Yes, routed through your existing approval rules, with balances read from your HR system rather than a separate copy.

How long before it is handling HR queries?

Four to five weeks, including a period where screening runs in parallel with your manual review.

Why run screening in parallel first?

So you can see whether the ranking agrees with your own judgement before relying on it. If it disagrees, the criteria need work.

Is staff data kept private?

Employment records stay in your systems and are never used to train public AI models.

Does it acknowledge unsuccessful applicants?

Yes, which costs nothing and protects your standing as an employer. Most businesses currently do not.

Can it handle applications in Swahili?

Yes, and mixed language applications, which are common for operational roles.

What if a candidate challenges a decision?

The audit trail shows what the system contributed and what the criteria were. The decision itself was made by a person.

Can it interview candidates?

No. We do not build automated interviewing, because the assessment quality does not justify the fairness risk.

Will it help with onboarding?

Yes, by triggering and chasing the full sequence of steps rather than presenting a list somebody has to remember to open.

Does it work for high volume seasonal hiring?

That is where it returns most, because ranking hundreds of applications on a consistent basis is exactly the bottleneck.

What criteria should we use?

Whatever you can state and defend. If a criterion cannot be written down clearly, it probably should not be driving decisions.

Can it detect CV exaggeration?

It can flag inconsistencies for a person to look at. It does not conclude anything about honesty, because that judgement carries consequences.

Does HR still need to read applications?

The shortlist, yes. The value is that the ranking is produced consistently across all of them rather than the first few.

What are the running costs for HR automation?

It depends on application and query volume. The monthly projection uses your own figures and is provided before commitment.

Glossary of terms

HR terms as they apply to this work.

Screening
Assessing applications against stated criteria to produce a ranked order, without discarding anybody.
HRIS
The human resources information system holding your employee records, leave balances and payroll data.
Onboarding
The sequence of steps required to bring a new starter into the business properly.
Escalation
Routing a matter to a person, used here for anything sensitive or disciplinary.
Selection criteria
The explicit requirements a candidate is assessed against, written down before screening begins.
Audit trail
The record of what the system did and why, needed if a decision is later questioned.