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Bettr AI Systems™ / Sales and CRM operations

Stop losing the sale between the handoffs.

Records go stale. Follow-up lives in someone's memory. Proposals wait for information already in the business. Connect the operational work without handing your customer relationships to an unsupervised system.

The practical answer

Sales automation is most useful when it improves CRM records and next-action ownership before increasing message volume. Choose a bounded workflow such as duplicate review, meeting coordination or proposal preparation. Define the sales owner, consent requirements and human approval gates, then test against a documented baseline. Measure accepted records and completed handoffs, not just generated messages. Marketing permissions and customer context remain constraints; automation does not establish consent or guarantee pipeline growth.

Illustrative workflow / not a live client systemControl before scale
  1. 01 →

    Approved CRM records

    Access & permission checks

  2. 02 →

    Prepare next action

    Tested rules & exceptions

  3. 03 →

    Sales owner approval

    Named accountable owner

  4. 04

    Coordinate & record

    Audit trail & monitoring

Worked hypothetical example / not a benchmark

Required-field completeness %

Reviewed in-scope CRM records containing all agreed required fields divided by in-scope records reviewed. Completeness does not establish accuracy or consent.

85 records with all agreed required fields ÷ 100 in-scope CRM records reviewed × 100 = 85% required-field completeness in a hypothetical baseline. No sales or conversion outcome is implied.

Assumptions to record

  • The team agrees required fields and the record cohort in advance.
  • Duplicate records are handled consistently; populated fields are checked separately for accuracy.
  • Consent status is an explicit field and legal permission is independently verified.

Common measurement mistakes

  • Measuring automated message volume as sales value.
  • Confusing a populated consent field with valid permission to send.
  • Counting duplicate contacts or treating a meeting link click as a confirmed booking.

Questions owners ask

Will messages always send automatically?

No. Human approval is retained where appropriate, and permissions and consent are checked in the scoped workflow. Sending behaviour is agreed and tested before release.

Does CRM automation guarantee more sales?

No. Cleaner records and accountable handoffs can be measured, but commercial outcomes depend on offer, audience, sales execution and other factors.

What happens after the assessment?

The separate AI Systems enquiry is saved for manual review. Audit, implementation and management scope and USD fees are agreed before work; no specialist appointment is represented as booked.

Adjacent operating work

Risk and permission references

Related official guidance, not endorsement of Bettr or these locally defined pilot measures. Applicable laws and provider permissions must be assessed for your jurisdiction.

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.

01

CRM hygiene

De-duplicate records, flag stale fields and reconcile approved sources. Apply access rules before data moves between systems.

02

Qualification and routing

Prepare fit summaries and route records using agreed business rules, with review for exceptions and important decisions.

03

Human-approved messaging

Draft relevant messages with consent and suppression checks. Respect marketing laws; never impersonate a person or invent permission to contact.

04

Meeting and proposal preparation

Coordinate tasks, prepare meeting context and draft proposals from approved facts. Owners confirm availability, scope and commercial terms.

05

Follow-up and reporting

Create accountable follow-up tasks and pipeline reports. Measure handling time and record quality; do not claim revenue uplift without evidence.

No automatic commercial commitments. Your team approves pricing, proposals, exceptions and messaging where appropriate; consent and opt-out controls come before campaign activation.

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.

  1. 01

    Baseline

    Map the current process, manual effort, error types, data permissions and accountable owner.

  2. 02

    Architecture

    Choose appropriate tools, define integration boundaries, approval gates and fallback procedures.

  3. 03

    Pilot and test

    Test a limited workflow with authorised data. Review accuracy, exceptions, consent and failure recovery.

  4. 04

    Production

    Release only against agreed acceptance criteria, with owner sign-off, runbooks and a rollback path.

  5. 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.

Byron Van Gisborne

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 record

Indicative 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.

01

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.

02

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.

03

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.

04

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.

Looking for founder advisory instead?