Chris Gee Consulting
Confidential · 2026
Prepared for LSG
AI Readiness Assessment
FINDINGS
& PILOT
BRIEF
Presented By
Chris Gee Consulting
Presented to
LSG · Teal Baker
Speaker · Trainer · Advisor
AI Strategy for PR & Comms
2026
01 / 10
The Picture
22 People Told Us Where They Stand.
22 team members completed the AI Readiness Survey across 10 dimensions of maturity. The results paint a clear picture: the culture is ready, but the infrastructure isn't. Your team wants to use AI. They just need the systems, training, and measurement to do it well.
Completed
22
Across 10 dimensions
Average Score
47.7%
Integration tier
Score Range
28–66%
38-point spread
High Tier
0
Room to grow everywhere
Tier Distribution
14%
Low · Awareness
3 team members. Exploring AI casually. No formal training, governance, or workflow integration yet.
86%
Medium · Integration
19 team members. Using AI for select tasks with some confidence, but limited systems and measurement.
0%
High · Transformation
0 team members. AI embedded in workflows with governance, measurement, and leadership buy-in.
02 / 10
The Core Finding
"The Culture Is Ready. The Infrastructure Isn't."
— LSG AI Readiness Survey · May 2026
What This Means for the Pilot
86% of your team is in the Integration tier — aware, experimenting, and motivated. The gap isn't willingness. It's workflow. Nobody has built repeatable AI systems into their day-to-day yet. No one measures impact. Governance is improvised. The pilot program targets exactly these three gaps, turning individual experimentation into a team-wide operating advantage.
03 / 10
Individual Scores
Every Team Member, Ranked.
04 / 10
Question-Level Gaps
Where the Real Opportunities Are.
The survey assessed 10 dimensions of AI maturity. Comparing answers across high, mid, and low scorers reveals where to focus the pilot program.
Critical
Workflow Integration
Most of the team said AI is "not integrated at all" into their workflows. Even top scorers are only at "a few repeatable workflows." AI is a side tool, not part of how work actually flows. This is the single biggest opportunity for the pilot program.
Critical
Impact Measurement
Nearly everyone selected "no measurement" when asked how they track AI's impact on outcomes. Without measurement, there's no way to prove ROI or know what's working. Every pilot workflow needs tracking built in from day one.
Attention
Training Investment
The majority of respondents reported zero formal AI training before the retreat. The May 13–14 sessions were the starting line for most of the team. The pilot workflows need to include built-in guidance, not just tools.
Attention
Governance & Quality Control
No standardized AI guidelines exist across the team. Some people have basic do's and don'ts, others are improvising entirely. QC depends on the individual. The playbook needs to establish org-wide standards.
Gap
Leadership Support
Responses varied widely. Some see clear sponsorship; others, including senior staff, selected "little to no support." The intent may exist, but it isn't visible to everyone. A visible signal from leadership closes this fast.
Strong
Team Culture
Consistently positive across all score levels. The team describes growing curiosity and active knowledge sharing. People want to learn and experiment. This is the foundation everything else builds on — and it's already there.
05 / 10
AI Champion Recommendations
The People Who Move This Forward.
Based on the survey data, these team members are best positioned to lead pilot adoption. Champions test workflows first, flag issues, and support teammates who are earlier in their journey.
Nick Schneeberger
66% · Highest Scorer
Already integrated AI into repeatable workflows. Active knowledge sharing with teammates. Sees clear leadership sponsorship. Strongest candidate for primary champion role.
Julian Gorman
66% · Tied for Highest
Matches Nick across all dimensions. Strong across governance, integration, and culture. Provides champion coverage if paired with Nick for peer support.
Justin Strength
62% · Third Highest
Consistent engagement across all survey dimensions. Took the most time on the assessment, suggesting thoughtful self-evaluation. Strong third candidate.
Liz Cassin
56% · Strong Mid-Range
Bridges the gap between top scorers and the broader team. Can serve as a relatable peer champion for colleagues still building confidence.
06 / 10
Current State
Manual process with high time investment. Team compiles clips by hand and formats reports from scratch each cycle.
No standardized template or AI assistance. Quality depends on individual judgment and available time.
Pilot Design
Build a Claude-powered workflow that ingests media clips and generates structured, formatted reports.
Include quality checks and brand voice consistency as built-in steps, not afterthoughts.
Workflow Integration
Impact Measurement
Quality Control
Success Metrics
50%+ reduction in time per report. Quality assessed by Teal. Tool: Claude. Champions test first, team rollout week two.
07 / 10
Current State
Team writes press releases, social posts, and internal memos from scratch each time. Significant time lost per deliverable.
Some individuals use AI for drafting, but there are no shared templates, voice guidelines, or quality standards across the team.
Pilot Design
Build prompt templates in Claude for LSG's most common content types, tuned to the firm's voice and style.
Include guardrails for fact-checking, tone, and client-appropriate language built directly into each template.
Training Investment
Governance & QC
Workflow Integration
Success Metrics
40%+ faster turnaround time. 10+ active users within two weeks. Tool: Claude. Templates distributed team-wide in week one.
08 / 10
Current State
Notes taken manually and inconsistently. Action items tracked in different systems or not at all.
No standard format or follow-through process across the team. Accountability gaps are frequent.
Pilot Design
Integrate an AI note-taking tool with a structured output format: attendees, key decisions, action items with owners and deadlines.
Standardize across team meetings. Tool recommendation: Claude + Otter.ai or Granola depending on meeting environment.
Quality Control
Impact Measurement
Success Metrics
80%+ meeting coverage. Weekly adoption tracking. Tool: Claude + Otter/Granola. Standard template adopted in week one.
A Note on Sequencing
Pilots 1 and 2 are recommended as the starting pair. Both target the two most critical gaps (workflow integration + impact measurement), have clear champions ready to lead, and will produce results visible to leadership within two weeks. Pilot 3 can begin in parallel or follow in week three once team confidence is building.
09 / 10
The Remaining Weeks, Mapped
What Happens Next.
May 18 – 23
Discovery Complete
Survey analysis complete. Retreat debrief delivered. Champion candidates identified. Tool environment audit underway.
May 23 – 30
Pilot Design
Finalize 2–3 pilot workflows. Build prompt templates and step-by-step guides. Test each workflow end-to-end before team handoff.
May 30 – Jun 10
Pilot Execution
Champions test first, then broader team rollout. Weekly check-ins. Iterate based on feedback. Document what works.
Jun 10 – 15
Final Deliverables
AI Playbook with validated workflows. 30/60/90-day roadmap. Final presentation, handoff, and check-in call scheduled.
10 / 10
