Employee Experience & AI Readiness: enthusiasm without infrastructure.
560 voice-led conversations, scored on a 1–5 scale against the Emersen framework. A workforce whose enthusiasm for AI has no organizational infrastructure to attach to.
Computed from the scores. Select one to search the report for what sits behind it.
Employee Experience
One strength, three below threshold
Eight dimensions, scored 1–5
Development & Growth is the lowest dimension. 340 of 560 scored it a 2 (61%): active stagnation, not absence of aspiration. Recognition follows, with 300 of 560 at 2.
AI Adoption Readiness
High on vision, near the floor on permission
Seven factors, scored 1–5 (peer dynamics: no data collected)
AI Emerging
The low factors are organizational. Access, leadership signal, and permission clarity are not capability problems. They compound: no tools, no policy, and no signal from leaders.
Who we heard from
560 voices, operations-weighted
AI readiness by segment
VPs read highest, managers lowest
The opening question: the barbecue test
Composed on the surface, heavier underneath
Emotional tone of the opening answer (directional: no tone distribution was computed)
280 of 560(50%) changed their answer by the close, most toward greater honesty and complexity. The opening was composed; the close revealed accumulated weight.
The lowest dimension
Development & Growth: how scores spread
Number of participants at each score (mean 2.46)
The modal answer is a 2, not a 1. People are not failing to grow; they are growing without organizational partnership, often for years with no career conversation started by the company. Recognition looks the same: 300 of 560 scored it a 2.
Culture alignment
Believed more than it is lived
Recall is strong; the problem is the +0.84 gap. People believe in the values more than they see them lived under pressure. Cynicism reflects learned pattern recognition, not disengagement.
Governance reality
Adoption has outrun the policy
320
Compliance flags
0
Governing policy
320 participants (57%) describe AI usage that may exceed sanctioned data boundaries, with no policy, approved tool list, or permitted-use framework. An organizational gap, not individual misconduct.
470 of 550 scored permission clarity a 1 or 2. 510 of 550 scored leadership signal a 1 or 2.
The champions
Nearly half, already ready
250of 560 · 45%
Trust in AI ≥ 4 · Willingness ≥ 4 · No fear of job loss
Across every level (100 are frontline) and tenure band. They are already experimenting informally and need organizational cover, not persuasion.
What demands attention now
Flags & concerns: broad, and structural
Each dot is about 28 participants (5%)
Compliance risk reaches more than half the workforce, and one in four carries a mental health flag. Both are structural, not individual. Single-participant flags call for individual record review.
The path forward
Five priorities. Each resolves to a first move.
Strengths to leverage
Build from what is already real
Every one of these is operationally present today, not aspirational.
In their own words
The voice companion
The narrative
What the report says, in the order to hear it
01 · The headline
Enthusiasm with no infrastructure to attach to.
Strickland & Ticknor is anchored by a purpose its people believe in, and strained beneath it. Three scores tell one story: Employee Experience 3.11, AI Adoption Readiness 2.85 (the AI Emerging tier), and Culture Alignment 3.15, each out of 5.
The workforce is not short on appetite. Willingness (4.09) and vision for AI's role (4.24) are the highest AI scores. What is missing is organizational: permission, access, and a signal from leadership.
02 · How we listened
Not a survey. A conversation, scored.
560 people across 12 functions each had an open, voice-led conversation, transcribed in full. Every transcript was read against the Emersen framework (eight experience dimensions plus AI readiness) and scored on a 1–5 scale, tied to the quote that reveals it.
1 Critical2 Concern3 Adequate4 Good5 Excellent
03 · Executive summary
Five things leadership should know.
Purpose is authentic and widespread. 430 of 560 (77%) articulated the company's mission clearly and specifically, and Meaningful Work scores 4.29.
Development and recognition are the most acute risks. Development & Growth (2.46) and Recognition (2.55) sit below threshold; 61% and 54% scored them a 2. That is active stagnation, not mere dissatisfaction.
AI governance is absent at scale. 320 of 560 (57%) triggered a compliance risk flag, with no AI policy, sanctioned tools, or permitted-use framework.
Leadership signal is the largest adoption barrier. It scores 1.76, with 510 of 550 rating it a 1 or 2, the most floor-concentrated factor in the diagnostic.
A large champion segment is ready. 250 of 560 (45%) meet champion criteria across all levels and functions.
04 · Employee experience
One strength, three below threshold.
Meaningful Work leads at 4.29, with 480 of 560 rating it 4 or 5. Positive Workplace (3.63) is functional, and direct managers are often the stated reason people stay.
Below those, Health & Wellbeing (2.64), Recognition (2.55), and Development & Growth (2.46) converge on one finding: employees are giving more than they are receiving. The risk is not loss of belief in the mission. It is attrition from exhaustion and invisibility among people who still believe.
Culture is believed more than it is lived: belief in the values averages 3.48, seeing them lived 2.64, a gap of 0.84. Cynicism sits at 43%, and it reads as learned pattern recognition, not disengagement.
05 · AI readiness
Willing, and waiting on permission.
Vision for AI's role (4.24) and willingness (4.09) are high, and 550 of 560 people described a specific AI use case in their role. Employees know where AI should go and want to go there.
Three factors sit near the floor: access (2.04), leadership signal (1.76), and permission clarity (1.69). They compound: people without tools cannot build capability, people without policy will not experiment, and people whose leaders do not signal will not invest in learning.
06 · Where it varies
By level, and by function.
AI readiness runs from 3.40 at VP down to 2.58 among managers, and the spread by function is wider: IT scores 4.00, while Construction and Safety score 2.40. Field roles report near-zero sanctioned tool access.
07 · What demands attention now
What shouldn't wait for a roadmap.
320 compliance flags and no governing AI policy: active exposure, and the fastest item on this list to fix. Separately, one in four participants (140) carries a mental health flag, a pattern of chronic, normalized depletion rather than acute crisis. 70 participants showed retaliation fear, a sign of suppressed voice.
08 · The path forward
Five priorities, each with a first move.
AI governance void. First move: publish a working AI policy covering approved tools, prohibited data, accountability, and sanctioned experimentation.
Development and career architecture. First move: manager accountability for a career conversation, even in lightweight form.
Recognition system redesign. First move: address the gap between visible-output and invisible-excellence roles.
Leadership communication and follow-through. First move: close named commitments before announcing new ones.
Wellbeing and sustainable capacity. First move: reduce the administrative and coordination burden.
Build from what is already real: purpose, values recall, a large champion segment, trusted proximate relationships, and a workforce that has already done the conceptual work of AI integration.
09 · What has to be true
The workforce is already ahead of its structure.
For AI transformation to succeed: publish the AI policy now; activate the 250 champions as formal pilot participants; have field-level leaders communicate AI direction to their own teams; invest in access before culture change; and connect the case for AI to the wellbeing problem, because people who describe its value most clearly frame it as recovering time and mental energy.
10 · Where we go from here
You are holding the first layer.
i.ListenVoice-led conversations, synthesized into this diagnosis.Complete
ii.StrategizeNICH partners turn the findings into a roadmap leadership can commit to.