Unreliable organization-specific answers
Copilot and other AI tools cannot answer customer-specific questions dependably when the knowledge they rely on is incomplete, inaccessible, or untrusted.
For managed service providers, consultancies, and technology providers
Turn AI readiness into a service your customers can act on
Before recommending Copilot, AI agents, automation, or custom AI systems, determine whether a customer has the organizational knowledge, alignment, and controls those tools will require.
PDATA pilot opportunity:
The Private Diagnostic and Training Appliance is in early testing. Qualified partners can engage now to help validate the supported environment, delivery model, customer value, and partner economics before a limited number of bounded pilots open.
A contribution-based model:
Partner benefits are temporary, conditional, and defined by agreement. Customers remain free to choose their service providers, and KontextOS retains ownership of its core platform.
Start with AI implementation risks your customers already recognize
A technology deployment can be technically sound and still underperform when the organization is not ready to use it reliably and responsibly.
Conflicting sources and practices
Employees receive inconsistent results when policies, procedures, assumptions, and actual ways of working do not agree.
Unknown workflow readiness
Management may not know which workflows are ready for AI, which require remediation, or where human oversight must remain.
Missing knowledge and controls
AI recommendations may arrive before anyone establishes whether the organization has the governance, workforce preparation, and dependable knowledge those systems need.
The common cause
AI readiness is not solely a technology problem
Documentation, data, training, workflows, governance, and employee adoption can look like separate problems. KontextOS treats them as dimensions of one underlying requirement: organizational context.
AI cannot operate reliably without an accurate, accessible, representative, trustworthy, and governed understanding of how the customer actually works. Context readiness determines which AI services an MSP can responsibly recommend, how those services should be configured, and what must change before deployment.
A structured AI-readiness service for MSPs
KontextOS trains the customer's workforce while identifying missing knowledge, conflicting practices, governance gaps, and workflow conditions that could undermine implementation.
Recommend AI responsibly
Use evidence about the customer's actual operating context to determine what is ready, what needs safeguards, and what should wait.
Generate a services roadmap
Evidence-linked findings can prioritize documentation, knowledge-base, identity, governance, workflow, security, training, integration, and remediation work.
Lead the implementation economy
The partner controls its own statements of work and service economics. KontextOS can generate and support the roadmap for technical and managed services rather than sit beside them as an isolated diagnostic.
Create a path to recurring work
A successful diagnostic can lead to Persistent KontextOS deployment, implementation, integration, support, and continuing managed AI services.
Use a repeatable method
Bring customers a structured course-led diagnostic, evidence model, review workflow, and dashboard without inventing the method from scratch.
Top 5 reasons to adopt KontextOS
- Includes perspectives from across the organization
- Reveals gaps conventional discovery often misses
- Produces actionable findings in days, not weeks
- Delivers broader discovery at a predictable cost
- Creates stronger buy-in and more valuable consulting opportunities
A practical path from interest to qualified delivery
- Recognize familiar AI implementation risks.
- Understand organizational context as their common cause.
- Experience the approach in simulation mode using a fictional organization.
- Identify the customer-service and revenue opportunity.
- Complete the full Intro to Applied AI course as part of preparation for partner authorization or certification.
The full course deepens professional competence and prepares partner personnel to discuss, interpret, and deliver the service. It is part of partner enablement, not a prerequisite for deciding whether KontextOS is relevant.
Three ways to partner with KontextOS
Each path builds on a different level of commitment. Regional or geographic arrangements may be structured within the Authorized or Vertical Partner paths rather than as a separate partner type.
Commercial foundation
Authorized Partner
A trained and approved commercial partner that introduces and sells KontextOS while remaining close to the customer work the platform reveals.
Proposed advantages
- Training and demonstration environments
- One Standalone Course Builder author license at no separate charge while partner status and training requirements remain active
- Temporary protection for qualified, actively developed accounts
- A commission on full-platform subscriptions
- The first opportunity to propose identified implementation and follow-on services
Best suited to providers with trusted customer relationships and the ability to deliver integration, infrastructure, security, governance, workflow, training, or managed AI services.
Industry leadership
Vertical Partner
An Authorized Partner that commits people, expertise, market development, and pilot capacity to a narrowly defined industry segment.
Proposed advantages
- Time-limited, performance-based protection in an agreed segment and territory
- Qualified leads, co-branding, and enhanced revenue sharing
- Preferred implementation rights and a possible temporary vertical-package royalty
- The opportunity to co-develop a specialized edition using industry workflows, terminology, frameworks, templates, and benchmarks
- Standalone Course Builder author licensing negotiated as part of the broader Vertical Partner agreement
Protection could last 12 or 24 months and would depend on agreed targets for pilots, deployments, revenue, marketing, and dedicated personnel.
One position only
Strategic Development Partner
KontextOS intends to work with one company in a distinct operational role supporting platform development and commercialization.
Expected contribution
- A small, partner-funded and partner-employed clean development team
- Effective project support under agreed technical, security, and commercial standards
- Active assistance in developing the platform and bringing it to market
- Appropriate internal Standalone Course Builder development licenses negotiated as part of the broader agreement
The partner could participate meaningfully in discussions about product development, market priorities, implementation strategy, and commercialization. KontextOS would retain control of its core technology, product architecture, pricing, staffing, and ordinary business decisions unless definitive agreements expressly stated otherwise.
Partner branding and white-label options
KontextOS supports referral, co-branded, and private-label arrangements. Co-branding is the standard model; private labeling is reserved for qualified partners whose commercial commitment, delivery capacity, and service standards justify it.
KontextOS identity
Referral partner
Introduce prospective clients to a KontextOS-branded offering without administering or repackaging the service.
Standard model
Co-branded partner
Market and deliver a partner-led service using an approved identity such as “Partner Name, powered by KontextOS.”
Qualified partners
Private-label partner
Lead with the partner's brand when a written agreement grants that right and defines required KontextOS disclosures, customer responsibilities, and quality controls.
Private-label qualification:
KontextOS ordinarily evaluates distribution capacity, trained sales and support personnel, service quality, privacy and security practices, escalation readiness, structured product feedback, and a meaningful annual, volume, or implementation commitment.
Proposed software pricing and partner incentives
The software commission is intended to support the relationship; the larger opportunity is the implementation and continuing-services demand that KontextOS can identify.
| Offer | Proposed customer price | Authorized Partner economics | Partner opportunity |
|---|---|---|---|
| Private Diagnostic and Training Appliance (PDATA) | $995 annual official price$495 annual targeted promotional price | No software commission | Introduce the diagnostic, protect active accounts, guide the customer relationship, and propose services identified by the findings. |
| Standalone Course Builder (SCB) | $1,995 per end-user author for the first yearIntroductory price: $1,495 for the first year · $199 per author per year after the first year | First trained author included while partner status remains active; $750 per additional author for the first year | Create specialized private training and diagnostic courses, demonstrate the PDATA, and develop repeatable implementation and managed-service offerings. |
| Persistent KontextOS License | $7,950 standard first-year price; a qualifying $5,950 first-year competitive-conversion price may be offered$499 per year thereafter | $2,000 first-year commission at the standard first-year price; the partner may waive it to match $5,950 | Deliver implementation, integration, remediation, support, and managed services while supporting continued platform use. |
These prices, promotions, commissions, protections, and revenue shares are proposals for discussion and require final agreement. A customer is not penalized for purchasing through a partner.
Protection must be earned and maintained
Named, active accounts
An Authorized Partner could register qualified clients or prospects for six or twelve months. Protection would continue only while the partner reaches agreed milestones such as introductions, demonstrations, diagnostics, or active opportunity development.
Narrow verticals and territories
Vertical and regional protection would be limited by time, geography, market segment, existing KontextOS relationships, and measurable performance. Missing the agreed targets would make the arrangement nonexclusive.
Customer choice
The originating partner may receive the first opportunity to propose services, but never an absolute right to the work. The customer chooses its provider, and findings must not be shaped to manufacture consulting demand.
Brand rights and platform ownership
Every branding level requires written authorization. Co-branding is standard, and approved private-label partners may make their own brand primary. KontextOS still retains its platform, methodology, assessments, training system, improvements, and reusable intellectual property.
Connect the diagnostic to services you already deliver
KontextOS can help generate, prioritize, and support the roadmap for familiar AI, infrastructure, governance, security, and workforce services.
Productivity AI and knowledge
Microsoft 365 and Copilot readiness, documentation improvement, knowledge-base remediation, and employee training.
Governance and security
Identity and access management, data governance, responsible-AI controls, security configuration, and compliance services.
Workflows and AI agents
Workflow redesign and automation, custom AI agents, technical integration, change enablement, and human-oversight design.
Implementation and managed AI
Infrastructure preparation, AI-provider setup, custom connectors, technical deployment, continuing support, and ongoing managed AI services.
Explore an AI-readiness partnership
Tell us about your organization and the partnership you would like to discuss. We will review your inquiry and follow up with the appropriate next step.
