Your operational context
Tickets · Knowledge · Inventory · Signals · Site records
DEPLOYMENT & ONBOARDING
Connect the systems.
Define the boundaries.
Start with the workflow you want to evaluate. Align access, data, execution, and ownership before expanding the scope.
Internal IT
One team. One clearly owned workflow.
A supervised workflow with an accountable owner and an agreed acceptance test.
- Choose the system owner and approval owner.
- Connect the ticket, knowledge, and target systems needed for the first workflow.
- Agree on identity, model-provider context, and data handling.
- Establish read-only checks before scoped changes.
Managed services
Repeatable delivery with customer context attached.
A customer-specific operating pattern that can be evaluated before expansion.
- Select one customer environment for the initial scope.
- Review tenant boundaries and per-customer access.
- Define the operator handoff and escalation path.
- Establish which elements can become a reusable service pattern.
Field service
Make one visit useful to the next.
A visit record and comparison that demonstrate useful continuity.
- Choose a representative site and discovery scope.
- Define what may be collected and who can access it.
- Capture a baseline and a subsequent version.
- Review added, removed, and changed observations with the technician.
A FUNCTIONAL VIEW
Context in.
Controlled work out.
This diagram describes the product’s information flow. The topology and hosting arrangement are scoped for the deployment.
AutoSolve
Investigation · Retrieval · AI solution preparation · Policy · Readiness
Configured targets
Agents · Provider paths · Jobs · Verification · Outcome feedback
Selected context may be sent to the configured AI provider. Provider selection, data categories, retention, and contractual requirements are reviewed for the engagement.
A SHARED SETUP
Clear ownership
from the start.
Your team brings
- An owner for the workflow and target environment.
- Authority to connect the chosen systems.
- Identity, access, and data-handling requirements.
- The current process and agreed success criteria.
- Reviewers for approvals and acceptance.
We work through together
- Integration scope and execution prerequisites.
- Source ingestion and model-provider context.
- Roles, policy, approval, and maintenance boundaries.
- A supervised run and meaningful exception case.
- The result, operating handoff, and expansion decision.
LET’S MAKE IT WORK
Start with the environment
you actually operate.
See the platform. Choose a workflow. Define what success looks like.