Service provider and technology partnerships
Help customers adopt AI without inheriting hidden risk.
H2H helps providers shape the workflow, assign ownership, and show customers where policy, approval, and review apply before AI acts.
These are exploratory paths, not a formal partner, reseller, OEM, certification, integration, or managed-service program.
01
Customer problem
A specific AI workflow, offering hypothesis, integration need, or governance blocker that a customer will recognize.
The motion starts with demand, not a generic partner program.
02
H2H services work
Qualify the decision, redesign the workflow, build or integrate the working path, and define what the pilot should show.
Implementation and review stay connected to the buyer's operating problem.
03
Tutela runtime controls where needed
Apply policy, approval, sensitive-data, agent/tool, visibility, and customer-managed control when the workflow requires it.
Tutela is relevant at the risky moment, not as a blanket requirement.
04
Customer-ready record
Compare observed operation, exceptions, review behavior, traces, and responsibilities before deciding whether to package or stop.
No formal partnership, certification, or managed-service claim is implied.
Featured path: MSSP / MDR
Show the AI context monitoring misses.
Traditional monitoring can show activity. A governed runtime view should show who asked, which policy applied, who approved, and what happened next.
H2H and Tutela are not an MDR service, SOC, threat-hunting team, or emergency-response provider.
Traditional monitoring
Traditional monitoring can see events, but may miss the AI-specific reason: which policy was evaluated, what the agent requested, who approved it, and what happened next.
Blind spot
The event is visible, but the policy reason and approval path may not be.
Governed runtime view
A governed runtime view preserves the user or agent, model, data or tool, policy, approval, action, result, timestamp, and correlation ID.
Show the governed runtime rail
- 01
User
Identity and intent enter the transaction.
- 02
Agent
The agent plans which context or tool is needed.
- 03
Model
The model interprets the task and produces a candidate step.
- 04
Data
Approved context is retrieved or withheld.
- 05
MCP / tool
Tool use is checked against policy and authority.
- 06
Action
The final action is allowed, reviewed, or stopped.
Control checkpoints: Identity, Policy, Approval, Disposition, Trace
Partner tracks
Choose the motion by the customer problem.
Platform references are categories, not vendor names or relationship claims. Fit, support, compatibility, and what the customer can inspect are validated for each opportunity.
MSPYour team is being asked for AI help, but the request does not fit neatly into help desk, infrastructure, or implementation services.
Design one repeatable service around assessment, onboarding, workflow implementation, or operating review before promising a broader AI practice.
H2H helps
- Frames the customer use case and workflow
- Designs the offer and implementation path
- Builds or integrates the first working capability
Partner owns
- Customer relationship and support commitments
- Domain context and delivery capacity
- Approved access to systems and stakeholders
Tutela may add
- Adds policy, approval, and trace controls when the workflow needs them
- Supports customer-managed boundaries where required
What must be inspectable
- Operating baseline
- Repeatable inputs and outputs
MSSP / MDRYour customers are adopting AI, but traditional monitoring may not explain what an AI user or agent saw, decided, approved, or did.
Design a provider-operated runtime governance motion around policy, review queues, exceptions, escalation, and the customer record.
H2H helps
- Defines the runtime governance use case
- Maps policy, review, exception, and escalation workflows
- Tests the operating path with representative control scenarios
Partner owns
- Managed security operation and service levels
- Customer communication and escalation commitments
- Monitoring, triage, containment, and incident response where offered
Tutela may add
- Applies policy at runtime
- Routes approval or review when required
What must be inspectable
- Policy disposition conformance
- Review volume and escalation behavior
XDR / SIEM / SOARSecurity teams can see alerts and events, but AI policy decisions often arrive without enough context for investigation or response.
Validate one integration flow that carries AI-user, agent, model, data, tool, policy, approval, action, and result context into security operations.
H2H helps
- Frames the candidate integration use case
- Defines the event and action contract
- Builds or prototypes the focused workflow when fit is confirmed
Partner owns
- Platform APIs, interfaces, and tenant model
- Product support and roadmap authority
- Security review and customer deployment requirements
Tutela may add
- Supplies runtime policy and decision context where relevant
- Provides trace material for investigation workflows
What must be inspectable
- Joint use case and data contract
- Allowed action and failure behavior
ISV / SaaSA promising AI feature is running into enterprise objections about data, authority, audit, deployment, or support.
Design governed AI behavior, embedded controls, and customer-owned deployment options around one consequential product workflow.
H2H helps
- Defines the user job and product boundary
- Designs AI behavior, review, and integration paths
- Builds the governed first release or implementation path
Partner owns
- Product promise and customer relationship
- IP, lifecycle, support, and hosting commitments
- Security review and enterprise acceptance path
Tutela may add
- Adds embedded policy, approval, and audit patterns where useful
- Supports customer-managed control where deployment ownership matters
What must be inspectable
- Product fit and technical feasibility
- Enterprise review record
Give, get, and stop
Agree who owns what before the pilot.
A credible pilot needs customer pull, an accountable owner, approved interfaces, and enough operating capacity to test the motion honestly. If those are missing, stop or narrow the motion.
H2H contributes
- • Use-case framing, workflow and offer design, implementation, integration, and pilot review.
- • Tutela technical-fit evaluation where runtime controls are relevant.
- • Transparent assumptions, dependencies, gaps, and next-decision criteria.
Partner contributes
- • Customer pull, domain context, an accountable owner, approved access, and operating capacity.
- • Platform interfaces, tenant and support model, security review, and product or commercial authority.
- • Validation of claims, responsibilities, economics, service levels, and go-to-market readiness.
Show working boundaries and program notes
MSSP and MDR working boundaries
What we do
- Design policy, review, exception, escalation, and record workflows around Tutela.
- Test allow, warn, redact, block, and review behavior with agreed scenarios.
- Define clean handoffs into the provider's existing security operation.
What we do not do
- Act as the provider's MDR service, SOC, or emergency-response provider.
- Claim 24x7 monitoring, threat hunting, containment, or incident response.
- Promise certification, risk-reduction percentages, prevention, or compliance outcomes.
- These are exploratory partnership tracks, not an established channel, reseller, referral, or certification program.
- H2H does not claim current customer, partner, or vendor relationships through this page.
- H2H and Tutela do not provide 24x7 monitoring, managed detection and response, a security operations center, or incident response.
- No opportunity implies exclusivity, guaranteed revenue, guaranteed outcomes, certification, or official platform status.
- The customer retains accountable ownership of business, security, policy, investment, and production decisions.
- Roles, scope, sequence, deliverables, review records, commercial terms, support, and customer communication are confirmed for each opportunity.
Show integration paths
AI governance and operating context
Shared context for investigation, approval, product behavior, and customer records.
Incident enrichment
Connect user or agent, model, data, tool, policy, decision, approval, action, and result context to an investigation workflow.
Approval and response
Route focused review requests or allowlisted control actions through defined authorization paths.
Governed AI product behavior
Design policy, sensitive-data handling, review, exception, audit, and change control into an AI feature.
Customer-owned deployment
Evaluate identity, keys, residency, observability, ownership, and portability when they affect enterprise adoption.
Embedded or white-label exploration
Assess technical, support, security, commercial, and brand responsibilities before treating a model as available.
Integration record
Require a defined use case, data and action contract, test set, ownership model, failure behavior, and customer decision.
Show stop or revise criteria
Stop / revise gate
The point is not to keep every idea alive. It is to decide when the motion is not ready to package, sell, or scale.
- Customer pull is vague.
- No party owns delivery.
- Essential interfaces are unavailable.
- Responsibilities conflict.
- The test cannot support a commercial choice.