Operator foundations, CSR teams and employment agencies

Match a job seeker to a vacancy they chose to be seen for

A verified employer lists a vacancy. Two hundred programme members with a matching skill have consented to be matched, in three languages.

Request a working session The product that runs it: Jobs & Social Impact

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Seen by the customer · USSD

From the record, not a run: what would reach them, on USSD, App, SMS.

The case

Annotated from the record

What happened

A verified employer lists a vacancy, and two hundred programme members with a matching skill have consented to be matched.

A verified employer lists a vacancy. Two hundred programme members with a matching skill have consented to be matched, in three languages.

What it reads

The vacancy and its requirements
Skills, location and availability the applicant shared
Consent, eligibility and accessibility rules
Bias and exclusion review of the match

Checks before anything is sent

Consent, eligibility, legal basis, minimum group size and bias and exclusion checks pass.

Every option considered, including doing nothing

The match shown to the applicant first, in their languageConsidered
A training recommendation, where the skill is close but not thereConsidered
Referral to the agency, where eligibility is unclearConsidered
No match, where consent or eligibility is missingConsidered

Doing nothing is one of the outcomes, and it is recorded with its reason. The options are the record's own; a run decides between them.

Evidence record

Preview

Reference: The reference of the saved run.
Decision: One of the options, including no action, with the reason.
Checks: Consent, eligibility, legal basis, minimum group size and bias and exclusion checks pass.
Evidence kept: Vacancy
consent
match reasons
applicant's decision
employer's decision
placement record
employment outcome
The measures: Placements made and still employed after ninety days, against matches shown.
Connection: Written on every record: the systems the run read, and the sample it ran on.

The shape of the record, with no values. A reference appears only after a run is saved.

The improvement, and how it is measured

Hypothesis

A placement still employed after ninety days is the programme's result; a match shown is only its activity.

Modelled

The mechanism that could produce the result, stated; the figure is measured in the pilot.

Observed

Measured in a pilot’s validate stage, on your systems, against a comparison agreed first.

The result, the mechanism, the measurement, and the record’s five answers

Desired result

Faster, more accessible and better-targeted public service; improved resilience and resource allocation

Mechanism

Authorise purpose → prepare/aggregate → analyse → apply thresholds → agency review → act → log → publish impact and bias checks where appropriate

Measurement

Geographic/time phased rollout; process baseline; independent privacy and bias review; publish limitations; never infer causal impact without design

Measured on: Response time; queue reduction; service completion; coverage; false alert; excluded population; resource efficiency; public outcome metric

01
Desired result
The result wanted.
Faster, more accessible and better-targeted public service; improved resilience and resource allocation
02
Mechanism
The mechanism that could produce it.
Authorise purpose → prepare/aggregate → analyse → apply thresholds → agency review → act → log → publish impact and bias checks where appropriate
03
Evidence required
The records kept to show it.
Purpose approval; data agreement; aggregation test; model/logic version; agency decision; action log; impact/bias review; public reporting
04
Costs and risks
The cost, and the ways it can go wrong.
Costs: Fixed project + annual managed service; government framework contract; outcome milestone only where measurement and authority are agreed
If it fails: Withhold unsafe output; escalate to agency privacy/command authority; fall back to official data/process; never expose raw subscriber records
05
Measurement approach
The measure that shows it helped.
Geographic/time phased rollout; process baseline; independent privacy and bias review; publish limitations; never infer causal impact without design
Measured on: Response time; queue reduction; service completion; coverage; false alert; excluded population; resource efficiency; public outcome metric

Measured in the pilot's validate stage, on your systems, with the comparison agreed first. Every line above is the record's own design intent.

The business side

The change: Placements made and still employed after ninety days, against matches shown.
Running cost: Fixed project + annual managed service; government framework contract; outcome milestone only where measurement and authority are agreed
What evidence supports it: Vacancy, consent, match reasons, applicant's decision, employer's decision, placement record and employment outcome.

The journey in detail

Step by step, from both sides

Step	What the customer experiences	What the operator does
The momentThe moment that started it.	A verified employer lists a vacancy, and two hundred programme members with a matching skill have consented to be matched.	Reads the vacancy and its requirements, skills, location and availability the applicant shared, consent, eligibility and accessibility rules, bias and exclusion review of the match.
The decisionThe decision to be made.	The customer's screen is unchanged.	Matches skills, location and availability to the vacancy within the programme's eligibility and accessibility rules, in the applicant's language.
The safeguardsThe conditions that stop it.	Still unchanged: the action waits until every check has passed.	Consent, eligibility, legal basis, minimum group size and bias and exclusion checks pass.
The actionThe action that reaches the customer.	Show the match to the applicant first; the employer sees a profile only with the applicant's consent, and the agency records the placement. Reaches them on USSD, App, SMS.	Recommends. The system that holds the right confirms, charges or provisions.
When it goes wrongThe failure, and the recovery.	The match favours applicants in the city because the location signal is finer there, and rural members with the skill are never shown the vacancy.	The bias and exclusion review catches the skew before the vacancy closes, the location weighting is corrected, and the impact review reports the correction publicly.
The resultThe change it made.	What changed for them is what is counted; nothing else is claimed.	Placements made and still employed after ninety days, against matches shown.
The proofThe proof anyone can check.	Can be answered for, later, from the record.	Vacancy, consent, match reasons, applicant's decision, employer's decision, placement record and employment outcome.

Operator systems remain authoritative. HeuriTel reads these to propose an action; it does not decide on their behalf.

The failure, and the recovery

What goes wrong

The match favours applicants in the city because the location signal is finer there, and rural members with the skill are never shown the vacancy.

What happens then

The bias and exclusion review catches the skew before the vacancy closes, the location weighting is corrected, and the impact review reports the correction publicly.

The products in this journey

Runs the decision
Jobs & Social Impact
Job, skills and vacancy matching, training recommendation and a local-language application assistant run as a measured programme with clear eligibility, accessibility, employer and agency responsibility and employment-outcome tracking.
Contributes
Government & Public Sector
the public-service data rules the programme runs under
Contributes
Subscriber AI Services
the local-language assistant a job seeker uses
The definition it demonstratesHeuriTel Job Matching
Results it movesLaunch and monetise digital services

Available to see today

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