Recurring manual work, but no reliable decision point for workflow value, risk and owner fit.
Project patterns
Anonymized project patterns for practical AI automation decisions.
Not a reference gallery. Structured situations that show pressure, intervention and the reliable next step without exposing client details.
Decision pattern
Patterns that help operators decide without exposing client details.
Every project pattern is framed by the automation decision it clarified: workflow entry, governance, platform readiness or owner alignment.
M365 AI Readiness 路 Regulated operationsLLM Workflow Governance for a Regulated Operations TeamA prioritized AI workflow portfolio, reliable approval paths and a practical frame for controlled piloting.Evidence pattern
Every strong pattern follows the same decision logic.
We keep client details confidential, but the decision pattern is visible: pressure, intervention, reliable next step.
Workflow pressure, Microsoft 365 reality and automation scope consolidated into one practical path.
Clear recommendation: audit, build, prepare Microsoft 365, manage live workflows or consciously stop.
Decision patterns
Patterns by automation decision
Anonymized project pattern
From manual work to a clear automation starting point.
Make data, access, risk and handover governable.
Prepare Microsoft 365 and platform context for reliable workflows.
Clarify owner, budget and communication for the next automation step.
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Anonymized 路 M365 AI Readiness 路 Regulated operations
LLM Workflow Governance for a Regulated Operations Team
Anonymized project patternSituation
Several teams wanted to use generative AI faster, while risk, compliance and operations lacked one shared workflow decision model.
Intervention
Workflow interviews, AI use-case scoring, readiness blueprint and approval matrix for sensitive data and model usage.
Decision
A prioritized AI workflow portfolio, reliable approval paths and a practical frame for controlled piloting.
Transferable pattern Governance model aligned across operations, risk, compliance and IT
Anonymized 路 AI Workflow Audit 路 Retail operations
From Manual Work to a First Automation Roadmap in 30 Days
Anonymized project patternSituation
High automation pressure, but no clear priority and no reliable starting point for the first workflow.
Intervention
Workflow audit with target picture, use-case scoring, readiness assumptions and a concrete automation decision.
Decision
A practical decision foundation for the next automation investment and build decision.
Transferable pattern Clear decision document for workflow prioritization and budget approval
Anonymized 路 AI Workflow Audit 路 Practice operations
From Practice Operations to a First Patient-Service Automation
Anonymized project patternSituation
Appointment coordination, recurring patient questions and administrative routines put disproportionate pressure on the small team.
Intervention
Workflow audit, prioritization of a practice use case, data and privacy review and a small service-related pilot path.
Decision
A tangible first automation path for daily practice work with clear boundaries, concrete value and strong team acceptance.
Transferable pattern Practice-suitable use case defined with realistic privacy and role model
Anonymized 路 Microsoft 365 AI Readiness 路 Manufacturing operations
Microsoft 365 Readiness for Scalable Workflow Governance
Anonymized project patternSituation
Multiple sites and teams used Azure inconsistently, causing standards, cost control and delivery reliability to drift apart.
Intervention
Azure landing zone principles, operating model design, guardrails and KPI-based FinOps steering for platform and site teams.
Decision
A consistent readiness and operating model with clear responsibilities, stronger standards and higher delivery reliability.
Transferable pattern Binding guardrails introduced for new workloads and changes
Anonymized 路 AI Automation Sprint 路 SMB operations
AI Automation Sprint for Administrative Relief in an SMB
Anonymized project patternSituation
A small operations team wanted to reduce administrative routines without starting a large transformation program.
Intervention
Prioritization of recurring knowledge and service processes, data approval check and roadmap for Microsoft-centered automation.
Decision
A focused quick-win portfolio with clear boundaries, responsibilities and next automation steps.
Transferable pattern Knowledge and service processes prioritized by impact and risk
Anonymized 路 Automation Advisory 路 Founder-led SMB
Automation Advisory for a Founder-Led Budget Decision
Anonymized project patternSituation
Several automation options competed for budget while owner, operations and technology teams had different risk pictures.
Intervention
Focused advisory with decision logic, trade-off matrix and communication frame for owner, operations and team.
Decision
A clear budget recommendation, deliberate non-decisions and a reliable ownership frame for execution.
Transferable pattern Trade-offs between impact, risk and timing made explicit
Testimonials
What clients say about practical automation work
Kevin Sturm
CEO Let麓s Start your Brand
Tirion quickly brought structure into our ideas. Instead of generic AI excitement, we had a clear view of which automation would create real impact, which risks needed to be clarified first and where to start.
Focus: automation, prioritization and next useful step
The workflow audit moved us from uncertainty to a reliable starting point within 30 days. The team knew exactly what made sense next and what did not.
Project: AI Workflow Audit
The most valuable part was thinking Microsoft 365, guardrails and responsibilities together. Our teams now decide faster and with more clarity.
Project: Microsoft 365 readiness and operating model
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