Bettr AI Systems™ / Recruitment and staffing
Your recruiters should recruit. Not reconcile systems.
When candidate records, vacancy updates and interview logistics consume the desk, another tool is not the answer. Build controlled workflows around the ATS, CRM and people you already rely on.
- 01 →
Approved ATS records
Access & permission checks
- 02 →
Prepare candidate context
Tested rules & exceptions
- 03 →
Recruiter approval
Named accountable owner
- 04
Coordinate & record
Audit trail & monitoring
The operational work
Give each handoff an owner.
Start with a specific workflow, its permissions and a measurable baseline. Automate only what can be controlled and reviewed.
Vacancy signals
Bring approved vacancy sources into a review queue. Check relevance, provenance and permissions before a recruiter acts.
Candidate data preparation
Structure and de-duplicate authorised records, flag missing information and retain the source. No scraping private profiles or repurposing data without permission.
Consent-aware outreach
Prepare messages and suppression checks around your lawful contact rules. Recruiters approve sensitive messaging; opt-outs remain respected.
Interview coordination
Prepare scheduling tasks and interview packs, with human checks for exceptions and candidate preferences.
Desk reporting
Agree a baseline for manual handling, data completeness and coordination time. Report observed changes, not promised placement growth.
People make hiring decisions. These systems do not autonomously rank out, reject or appoint candidates, or make other consequential employment decisions.
Delivery model
Prove a bounded workflow before production.
Timelines and acceptance criteria are agreed after discovery. Baselines make improvement testable; they are not ROI guarantees.
- 01
Baseline
Map the current process, manual effort, error types, data permissions and accountable owner.
- 02
Architecture
Choose appropriate tools, define integration boundaries, approval gates and fallback procedures.
- 03
Pilot and test
Test a limited workflow with authorised data. Review accuracy, exceptions, consent and failure recovery.
- 04
Production
Release only against agreed acceptance criteria, with owner sign-off, runbooks and a rollback path.
- 05
Managed support
Monitor the agreed scope, review exceptions and changes, and manage provider dependencies within defined support limits.
Controls by design
Useful automation.
Accountable people.
Vendor-agnostic architecture with least-privilege access, client-specific credentials and appropriate separation of client environments. Isolation, retention and data handling must be assessed and agreed for each provider and implementation—not assumed from a platform's marketing.
Human oversight
Named owners approve sensitive actions, exceptions and consequential decisions.
Secure access
Agree authorised sources, scoped integrations, credential storage, access removal and retention before connection.
Testable operations
Monitoring, audit records, fallbacks and change approval belong in the delivery scope.
Provider independence
No claim of provider endorsement, reseller rights or unverified multi-client platform licensing.
Founder operating record / not AI client results
Built by an operator who knows the desk.
Byron Van Gisborne founded Zonda People, ranked #13 in the AFR Fast 100 in 2022. That is evidence of his operating history, not evidence of outcomes from this division. No AI client results or deployment claims are presented here.
Read the founder recordIndicative investment / USD
Scope first. A clear commercial boundary.
Starting prices for discussion, not a fixed quote or a validated market promise. Delivery, management, vendor/API fees and usage are agreed in a written scope before work starts.
AI Opportunity Audit
USD $3,000
one-time paid audit
Workflow baseline, prioritised opportunities, architecture and a scoped recommendation. A paid audit, not a free consultation.
Focused Automation
From USD $15,000
implementation + from USD $2,500/month management
A bounded workflow, tested integrations, human approval points and agreed ongoing management.
Managed AI Department
From USD $30,000
implementation + from USD $5,000/month management
A coordinated set of workflows with accountable owners, monitoring and managed improvements. Not autonomous employees.
Enterprise Transformation
From USD $75,000
implementation + from USD $10,000/month management
Custom-scoped enterprise work, subject to discovery, access requirements and delivery capacity; not an initial signature offer.
No unlimited support. No promised audit credit. Vendor subscriptions, API fees and usage are separately scoped. The advisory offer of USD $5,000/month is independent and is not included.
Before you enquire
Clear expectations, from the start.
Is the assessment a paid audit?
The short website assessment saves an enquiry for manual scope review. Submitting does not buy an audit or commit you to a fee. An AI Opportunity Audit is a separate paid service at USD $3,000 one-time, agreed in writing before work starts.
Can this work with our existing CRM or ATS?
That depends on authorised access, API capabilities, permissions and provider terms. Discovery checks those constraints before a scope is agreed. No integration is promised before it has been evaluated.
Who manages the system after launch?
The agreed managed scope sets ownership, monitoring, support boundaries and change handling. Your team remains responsible for business decisions and human approvals. Vendor/API fees and usage are separately scoped; support is not unlimited.
Do you guarantee savings or placements?
No. We agree process goals and compare observed performance to an authorised baseline. No guaranteed savings, revenue, placements or fabricated client results.
Is this founder advisory?
No. AI Systems implementation and management are separately scoped and priced. The independent USD $5,000/month advisory offer and its monthly session cadence are unchanged.