Discover
Understand before prescribing.
Establish business needs, stakeholders, systems, constraints, and the existing architecture. Align on what success needs to mean.
What it producesShared context, scope, and success criteria.
OUR APPROACH
Clear direction. Practical execution.
A clear delivery path connects business intent to architecture, implementation, and the operational handoff.
Assess
Turn complexity into priorities.
Identify technical debt, risks, operational gaps, and modernization opportunities. Examine dependencies and make tradeoffs visible.
What it producesPrioritized findings and a clear view of risk.
Architect
Define a coherent target state.
Develop architecture, standards, integration patterns, and a sequenced implementation roadmap grounded in operating realities.
What it producesA design and roadmap the delivery team can use.
Implement
Carry the design into practice.
Execute approved engineering and modernization activities in agreed stages, with change controls and validation criteria appropriate to the environment.
What it producesControlled implementation aligned with the design.
Validate & Transfer
Make the result maintainable.
Test against agreed criteria, document the architecture and operational workflows, and transfer the knowledge needed to support the environment.
What it producesValidation evidence, documentation, and operational knowledge.
EXAMPLE ENGAGEMENT / ONE PLATFORM TRANSFORMATION
Multi-tenant RMM
platform transformation.
Completed a migration from N-central to NinjaOne as sole platform architect, translating the existing N-central configuration into NinjaOne’s capabilities across client environments.
12,000+Approximate endpoint scope
40+Client environments within one engagement
Sole platform architectArchitecture, engineering, and operational documentation
Recreated configuration and monitoring in NinjaOne.
Mirrored the existing N-central configuration within NinjaOne’s capabilities, adapting policies and monitoring to the new platform. Where native monitoring did not cover the required checks, recreated monitors through custom scripting.
The work also included patch management, PowerShell engineering, access governance, and operational documentation to support a consistent operating model across the multi-tenant estate.
EXAMPLE ENGAGEMENT / MSP ONBOARDING
Onboarding delivery
at a fast-paced MSP.
Led the technical buildout of an MSP’s onboarding team, creating playbooks and workflows to support consistent delivery. Experience included 50+ onboarding engagements, including M&A and carve-outs.
50+Approximate onboarding engagement volume
<60Days — onboarding delivery target
Technical team buildoutPlaybooks, workflows, and onboarding labor pricing
Make onboarding repeatable and easier to scope.
The team needed a consistent way to plan and deliver onboarding at a fast-paced MSP. The approach combined clear steps and ownership with technical playbooks, delivery workflows, and labor estimates, supporting a target of completing onboarding in under 60 days.
Team & workflow buildout. Created the team’s technical playbooks and delivery workflows.
M&A and carve-outs. Supported onboarding engagements involving mergers and acquisitions (M&A), as well as carve-outs.
Onboarding labor pricing. Built an onboarding labor pricing calculator to support labor estimates and engagement pricing.
EXAMPLE ENGAGEMENT / BIGPANDA EVENT PROCESSING
Reducing alert noise and duplicate tickets with BigPanda.
Co-architected BigPanda integrations and event-processing standards to address alert fatigue, monitoring noise, and duplicate ticket creation.
Monitoring platform integrationsConnected monitoring platforms with BigPanda to bring incoming events into a common processing workflow.
Normalization & enrichmentStandardized incoming event data and added context to support triage and operational use.
Event deduplicationEstablished approaches for identifying repeated monitoring signals and limiting duplicate ticket creation.
Help teams focus on issues that need attention.
The processing approach was designed to give operational teams more consistent event data and useful context, while reducing repeated signals and duplicate tickets. The goal was to make incoming monitoring events easier to triage and reduce the noise competing for the team’s attention.
LET’S ALIGN YOUR SYSTEMS
Make the next step a deliberate one.
Start with the platform challenge, the operational constraint, or the change you need to make.