Open a strategic conversation
Lead with a practical question before a customer commits to a larger AI program: what organizational conditions must change for AI to succeed?
For IT-services providers
The KontextOS Private Diagnostic Appliance gives trusted providers a repeatable way to identify why a customer's AI initiative may fail—and to surface the remediation, implementation, and continuing services needed to improve its chances of success.
Lead with a practical question before a customer commits to a larger AI program: what organizational conditions must change for AI to succeed?
Evidence-linked candidate findings can reveal context architecture, workflow, governance, integration, security, training, and remediation needs.
The partner controls its own statement of work and service economics instead of having consulting complexity folded into multiple software tiers.
A successful diagnostic can lead to Persistent KontextOS deployment, implementation, integration, support, and continuing managed services.
The partner can bring a structured course-led diagnostic, evidence model, review workflow, and dashboard to customers without inventing the method from scratch.
1 · Experience
Up to three customer participants experience the introductory course method with fictional organizational evidence.
2 · Diagnose
The organization licenses one private diagnostic engagement for $7,500, delivered with a qualified reseller.
3 · Remediate
The partner scopes and delivers the organizational, governance, infrastructure, integration, training, and support work justified by the evidence.
4 · Continue
The customer can continue with the full platform for $24,000 per year, while the partner supports implementation and ongoing operation.
The diagnostic is intended to identify qualified work rather than compete with the provider delivering it.
Infrastructure preparation, installation, configuration, AI-provider setup, security configuration, backups, and support.
Course administration, participant coordination, findings workshops, customer interpretation, and decision support.
Context architecture, workflow redesign, governance implementation, knowledge remediation, training, and change enablement.
Integration, custom connectors, technical deployment, continuing support, and managed services under the Persistent license.
| Customer | Implementation partner | KontextOS |
|---|---|---|
| Approves scope, participants, evidence, privacy conditions, infrastructure, AI provider, and organizational decisions. | Prepares the environment and administers, facilitates, and supports the engagement under its customer agreement. | Licenses the PDA software, the diagnostic method used in Intro to Applied AI, standard analysis, review workflow, dashboard, and exports. |
| Ordinarily supplies customer-controlled infrastructure, credentials, usage charges, certificates, backups, and approvals. | Separately scopes and prices installation, workshops, integration, remediation, training, and ongoing support. | Maintains the controlling product definitions and the standard software entitlement boundary. |
| Authorizes findings and resulting actions. | Applies professional judgment and does not present candidate findings as automatic conclusions. | Does not replace customer authority, partner professional services, legal advice, or compliance judgment. |
These proposed margins are commercial hypotheses to validate with early partners, not irrevocable promises. The firm principle is that partner services remain separate and partner-controlled.
| Software transaction | Customer price | Illustrative partner margin | Illustrative KontextOS revenue |
|---|---|---|---|
| PDA license | $7,500 | $1,875 at 25% | $5,625 |
| Persistent conversion balance | $16,500 | $4,125 at 25% | $12,375 |
| Total first-year software | $24,000 | $6,000 | $18,000 |
The current discussion model also proposes a 15–20% partner margin on Persistent-license renewals. Final economics require validation and agreement.
Who may be a strong fit
KontextOS is seeking a small number of IT-services providers that advise information-sensitive organizations, can support customer-controlled infrastructure, understand AI, cloud, security, governance, data, or transformation work, and can profitably deliver remediation and implementation. This is a design-and-delivery discussion, not an open self-service reseller program.
Would the diagnostic create a credible and useful opening with the customers you already serve?
What security, infrastructure, training, support, contractual, and operating conditions would you require before delivery?
Which remediation, implementation, integration, and continuing-service opportunities would the likely findings create?
What evidence and preparation would you need before considering one jointly qualified design customer?
We are looking for a substantive working discussion with providers that can evaluate the customer value, delivery requirements, service opportunity, and path to one suitable design customer.