Prepare today for AI—and what comes next.

Advisory and planning engagement

Choose this when leadership needs clarity on what to do first, which use cases deserve attention, and how to move forward without overcommitting.

A typical starting project includes discovery conversations, readiness review, use-case prioritization, and a pilot roadmap with measurable next steps.

• Leadership teams exploring AI for the first time
• Organizations with scattered tools and unclear direction
• Teams needing a realistic plan (not a big-bang transformation)

• Clarity on what to do first (and what to avoid)
• Prioritized use cases with impact/effort/risk scoring
• A staged roadmap and pilot plan your team can execute

• Stakeholder discovery sessions
• Workflow and admin-burden mapping
• Data and privacy readiness review
• Use-case shortlist + recommendations
• Pilot plan with owners, timelines, and success metrics

Platform enablement and staff adoption support

Choose this when your organization already has Microsoft 365 and wants practical AI value, not another underused license or confusing rollout.

A typical starting project includes Copilot readiness review, role-based use cases, staff guidance, and an initial adoption plan tied to real workflows.

• Teams using Microsoft 365 but not getting the value
• Organizations considering Copilot but concerned about risk
• Departments needing role-based, practical training

• Safer AI usage with clear guardrails
• Higher adoption with simple job aids and workflows
• More consistency in quality and outputs

• Copilot readiness checklist and rollout plan
• Role-based use cases (Leadership, HR, Ops, Programs)
• Prompt patterns + templates for common tasks
• Responsible use training (privacy, verification habits)
• Lightweight training sessions and adoption support

Workflow design and implementation engagement

Choose this when repetitive approvals, intake steps, follow-ups, or routing work are slowing your team down and creating avoidable friction.

A typical starting project focuses on one high-friction process, maps the handoffs, builds the automation, and prepares your team to manage it after launch.

• Teams drowning in approvals, handoffs, and follow-ups
• Organizations with repeated manual reporting and reminders
• Departments needing reliable intake and tracking

• Less manual work and fewer dropped handoffs
• Faster turnaround on requests and approvals
• More reliable processes with audit-friendly tracking

• Process selection and quick-win identification
• Power Automate workflow builds (documented)
• Intake forms → assignment → notifications
• Approvals and routing (HR, purchasing, requests)
• Training + handoff so your team can maintain it

Governance and change support engagement

Choose this when the tools are already in motion but leadership needs clearer rules, stronger staff confidence, and a more sustainable adoption rhythm.

A typical starting project includes policy framing, approval pathways, communication guidance, and a practical plan for building trust as usage grows.

• Organizations worried about privacy, compliance, or reputation
• Teams that tried tools but didn’t see adoption
• Leaders who want sustainable, ethical AI usage

• Clear rules that reduce risk without slowing progress
• Higher trust and more consistent usage across teams
• A cadence for continuous improvement

• AI use policy and risk classification framework
• Approval workflow for new AI/automation use cases
• Training + communication plan for staff confidence
• Usage measurement (adoption, time saved, quality)
• Quarterly review cadence to refine and improve