Verity for skill training
Skill training is bought for an outcome and measured on placement. Verity tracks the outcome, the employers who provide it and the batch economics behind both.
Verity runs the institute. Training content and assessment platforms stay where they are.
Verity / Institute
LiveTrainees enrolled
840
Placement rate
58%
Employers engaged
46
Batches below viable
5
Needs attention
Illustrative figures. Verity shows your own institute in this shape.
How the business runs
A skill training institute sells an outcome. Trainees enrol because they expect employment, employers engage because they need candidates, and funders support programmes on the basis of placement rates. All three depend on a placement figure that has to be verifiable, and eighty-six completions with unverified outcomes is a claimed rate rather than an evidenced one.
The second characteristic is the employer relationship, which is the actual supply of placements. Fourteen employers who hired last cycle and have not this cycle is the placement pipeline narrowing before the placement rate falls.
The third is batch and lab economics. Practical training needs equipment and lab slots as well as a trainer, which makes an under-filled batch more expensive than in classroom-only teaching.
The fourth is certification. Programmes are accredited by bodies with documentation requirements that are audited, and evidence has to exist as records made during delivery.
The fifth is funding compliance, where schemes attach conditions to enrolment, attendance and outcomes.
Verity tracks placement with evidence, holds the employer relationships that supply it, and manages batch and lab economics.
What Verity calls these things
What gets in the way
Skill training difficulties come from selling employment and depending on employers to supply it.
Placement outcomes are claimed rather than evidenced
A placement rate is reported from what trainees said, and verification is partial.
In Verity Placements carry employer, role, start date and verification state, so the rate is evidenced.
The employer pipeline narrows quietly
Employers who hired previously stop, and it becomes visible when placement falls.
In Verity Employer engagement is tracked per cycle, so a narrowing pipeline is visible early.
Batches run below viability against lab cost
Practical training commits lab slots and equipment as well as a trainer.
In Verity Viability includes lab and equipment cost, so under-filled batches are a decision before the cycle.
Certification evidence is assembled at audit
Accreditation bodies require documentation that should have been created during delivery.
In Verity Evidence requirements are checklist items completed as the programme runs.
Funding conditions attach to attendance and outcomes
Scheme funding depends on enrolment, attendance and placement conditions tracked separately.
In Verity Funding conditions are recorded against the programme with compliance reportable.
Alumni are not maintained as a placement asset
Placed alumni are the institute’s best route to more employers and are rarely contacted.
In Verity Alumni are records with employer, role and progression, usable for future placement.
The complete system
One system across delivery, placement, employers and compliance.
Work
Each batch is work with a programme, trainer, lab requirement, schedule, enrolment and viability threshold including equipment cost.
Why it matters here Practical training commits more than a trainer, which changes the viability calculation.
In practice Five batches below viable size with lab slots and trainer committed.
Workflows
Placements carry employer, role, salary band, start date, verification state and retention at intervals.
Why it matters here The placement rate is the product and has to be evidenced rather than claimed.
In practice Eighty-six completions with unverified outcomes.
Relationships
Employers carry their hiring history, requirements and engagement per cycle; trainees carry their programme, attendance, assessment and placement.
Why it matters here Employers supply the outcome and alumni open the next employer.
In practice Fourteen employers who hired last cycle and have not this one.
Inventory
Lab capacity, equipment condition and consumables per trainee are recorded against batches.
Why it matters here Practical training consumes materials per trainee and equipment hours per batch.
In practice Consumable cost per trainee by programme.
Control
One permission model and one audit trail, with certification requirements and funding conditions as reportable states.
Why it matters here Accreditation and funding both audit records made during delivery.
In practice Certification evidence completeness by programme ahead of audit.
People
Staff are modelled once, with batches, assessments and placements attributed.
Why it matters here Placement outcomes vary by trainer and by placement officer.
In practice Placement rate by trainer cohort and placement officer.
Reports and analytics
Verified placement rates, employer engagement, batch viability, consumable cost and certification completeness come from the records.
Why it matters here The institute is judged on placement and funded on compliance, and both are recordable.
In practice Verified placement rate by programme and cohort.
Verity AI
Verity AI answers from your own trainee, batch, employer and placement records, respects permissions, and can create assigned follow-ups.
Why it matters here The valuable questions are about employers and verification.
In practice "Which employers hired last cycle and not this one?" returns fourteen with contact assigned.
Communication
Employer engagement, trainee follow-up and verification contact attach to the record they concern.
Why it matters here Verification and employer engagement are both contact activities.
In practice A placement verification call recorded against the trainee and employer.
Records
Assessments, certificates and required documentation attach to the trainee and programme.
Why it matters here Certification bodies audit documentation created during delivery.
In practice Assessment records complete per trainee before certification.
Locations
Locations carry lab capacity, equipment and batch allocation.
Why it matters here Lab capacity constrains how many practical batches can run.
In practice Lab utilisation against practical batch demand.
Orders
Trainee fees, scheme funding and instalments are recorded against trainees and programmes.
Why it matters here Funded and self-paid trainees follow different rules in the same batch.
In practice Funded and self-paid trainees tracked separately within one batch.
Work in motion
These already happen. Recorded, the placement rate becomes evidence.
Practical training viability must include lab and consumable cost, not just trainer cost.
Creating evidence during delivery is the difference between an audit and a reconstruction.
Verification is what turns a claimed rate into an evidenced one.
The pipeline narrows before the placement rate falls, and only the record shows it.
Funding and accreditation both audit what was recorded at the time.
Verity AI
Verity AI reads the same trainee, batch, employer and placement records the institute creates as it works. It answers from your own institute, respects permissions, and can turn an answer into contact and decisions.
Verity / Ask
Verity AI only returns what the person asking has permission to see.
Without chasing
Each runs from the institute’s own records at the point the condition is met.
When
An employer does not engage in a cycle
When
A trainee completes without verified placement
When
Batch enrolment stays below viability
When
Attendance falls below a funding condition
When
Certification evidence is incomplete
What you can understand
Outcome, pipeline and compliance from delivery records.
Verity records the institute’s operations. Training content and assessment platforms continue as they are.
One system, different ways of seeing it
Everyone works from the same records.
Director
Is the placement outcome real and holding?
Verified placement rate, employer engagement, batch viability, compliance readiness.
Placement officer
Which employers and which candidates?
Employer requirements and engagement, candidates completing, interviews and offers, verification outstanding.
Trainer
Is my batch on track?
Attendance and funding conditions, assessments, consumables, completion evidence.
Compliance
Are we audit-ready?
Certification evidence completeness, funding conditions, exceptions and closure, documentation gaps.
Where it is used
Placements carrying employer, role, start date and verification, so the rate the institute markets is evidenced rather than claimed.
Engagement tracked per cycle, so a narrowing pipeline is visible before the placement rate falls.
Viability calculated including equipment and consumables, since practical training commits more than a trainer.
Certification and funding requirements completed as the programme runs rather than reconstructed at audit.
Materials recorded against batches, making practical programme economics visible.
Placed alumni with employer and role, usable to open further employer relationships.
Plain-language questions across placement, employers, batches and compliance, with contact raised in the same step.
Getting there
Training content and assessment platforms continue and are mapped during implementation. Trainees, batches, employers with hiring history, placements and compliance requirements are brought across.
Implementation runs about four weeks: discovery and mapping, configuration, migration, then an ongoing operations partnership.
Questions
Verity AI answers questions from your own trainee, batch, employer and placement records: which employers hired last cycle and not this one, which placements are unverified, which batches are below viable size including lab cost, which certification evidence is missing. Each answer can become contact or a decision.
Because the placement rate is the product. Trainees enrol for it, employers judge on it and funders support programmes on the basis of it — and a rate reported from what trainees said is a claim rather than evidence.
Employers supply the placements. Engagement recorded per cycle shows the pipeline narrowing before the placement rate falls, which is months of warning rather than a surprise at the end of a cohort.
Because practical training commits equipment hours and consumables per trainee as well as a trainer. A batch that would be viable in a classroom can be loss-making in a lab.
Certification and funding requirements are checklist items completed during delivery with completeness reportable, so an audit is a submission from records rather than a reconstruction.
Scheme conditions on enrolment, attendance and outcomes are recorded against the programme with compliance reportable and at-risk trainees flagged during delivery.
Placed alumni are records with employer, role and progression, which makes them a route to further employer relationships rather than a list nobody maintains.
About four weeks: discovery and mapping of programmes, viability, certification and funding requirements, configuration, migration of trainees, employers and placements, then an ongoing operations partnership.
They are the placement rate falling before it falls. Tell us how employer engagement is tracked today.