Engagement model

Qualification-first buying path for founder-led software and AI work.

This page explains how Zynovex converts qualified demand into paid discovery, scoped implementation, and post-launch optimization. The goal is higher signal quality, faster decisions, and fewer low-fit calendar interruptions.

Offer ladder and pricing signals

Fit Call

Entry rule

Qualification required before calendar access.

Deliverables

  • Confirm problem ownership, urgency, and decision process.
  • Determine fit for paid discovery or a no-fit outcome.

Pricing signal

No-fee qualification step. Not a free consulting session.

Requests without clear business context are filtered before call scheduling.

Paid Discovery Sprint

Entry rule

Default next step for qualified but non-trivial projects.

Deliverables

  • Current-state workflow audit and bottleneck baseline.
  • Target architecture, scope boundaries, risks, and implementation plan.

Pricing signal

Paid engagement required before committing to complex implementation scope.

Prevents open-ended build work, under-scoping, and free-strategy drift.

Implementation Sprint

Entry rule

Starts only after scope and ownership are clear.

Deliverables

  • Defined software, workflow, or AI outcome delivered in a bounded sprint.
  • Direct founder communication with explicit tradeoff decisions.

Pricing signal

Fixed-scope commercial proposal after discovery or unusually clear fit-call inputs.

Scope changes are handled intentionally, not silently absorbed.

Optimization

Entry rule

Available after first outcome ships and shows value.

Deliverables

  • Reliability improvements and incremental feature expansion.
  • Proof capture and next-step prioritization based on usage.

Pricing signal

Ongoing support path is offered only where post-launch value is evident.

No default retainer without clear operating benefit.

Fit signals

  • Decision maker or direct budget authority is involved.
  • Business workflow or product bottleneck is specific and urgent.
  • Timeline is active (typically this quarter or sooner).
  • Budget path exists for discovery and implementation.

Usually filtered out

  • Idea-stage consumer app requests with no operating business context.
  • Procurement-heavy RFP cycles that require committee-first selling.
  • No-budget requests seeking unpaid architecture or strategy work.
  • Staff-augmentation asks disguised as outcome-led engagements.

Budget-readiness signals used in routing

Budget approved for implementation
Budget approved for discovery and implementation
Budget planned with internal approval path
No budget allocated (typically no-fit for direct fit-call routing)

Pricing transparency note

Public numeric ranges are intentionally withheld until founder pricing policy is approved. This avoids fake anchors and keeps commercial expectations tied to real scope, risk, and outcome ownership.

Public pricing posture options

Starting-from language

Best when the founder is ready to enforce a real minimum and wants stronger low-budget filtering on the public site.

Public range

Useful when scope varies, but the offer is still standardized enough that a bounded range helps serious buyers self-qualify.

Private on qualification

Safest when implementation risk is still too variable for honest public numbers, but weaker as a filtering signal.

Scope drivers that change commercial shape

These factors can be named publicly without pretending a fixed number exists before discovery. They are the main reasons a serious buyer should expect pricing to depend on scope, risk, and ownership clarity rather than a menu of fake packages.

  • Workflow complexity and exception handling
  • Number of systems or integrations involved
  • Data quality and source-of-truth clarity
  • Reporting, governance, or compliance constraints
  • Timeline urgency and implementation sequencing

Proof capture and release posture

Zynovex does not assume every project becomes a public case study. The cleaner operating standard is to decide release posture early, then capture closeout artifacts in a way that supports either anonymized proof or private internal reference later.

Named release

Use only when the client name, wording, and artifacts are explicitly approved.

Anonymized release

Recommended default when the work can be discussed publicly but the client should not be identified.

No public release

Allowed when confidentiality is tighter, but internal closeout artifacts should still be captured for future private proof and delivery learning.

Baseline bottleneck

Capture the before-state problem in business language before implementation expands or the original pain gets blurred.

Implementation summary

Keep a bounded record of what shipped, what was deferred, and which tradeoffs mattered so future proof does not rely on memory.

Artifact approvals

Log screenshot, workflow-diagram, architecture, and quote approval status before anything is reused publicly.

Outcome language

Draft result language as exact, range-only, or qualitative only depending on what the client can support and approve.

FAQ

Do you publish fixed price numbers on this page?

Public numeric ranges are not published until founder pricing policy is finalized. This page shows qualification and buying signals instead of arbitrary anchors.

Is paid discovery required?

For most qualified engagements, yes. It is the default bridge between fit call and implementation when scope or risk is not already obvious.

Can we book directly without the qualification form?

The default path is /start first. Calendar access is reserved for qualified opportunities.

What usually gets disqualified?

No-budget, no-decision-maker, low-urgency, consumer-app idea requests, and procurement-heavy mismatches are typically filtered out.

Do you require public case-study rights to work together?

No. Public release is optional. New engagements should still define whether proof can be named, anonymized, or kept private so closeout artifacts are handled intentionally.

Ready to route a real opportunity?

If the problem is live, budgeted, and owned by a decision maker, start with qualification and move toward paid discovery.