AI Field Knowledge & Diagnostic Platform

A seven-year apprenticeship, compressed to ninety days.

Turing decades of in-the-truck expertise into a platform that any technician can follow while dropping callbacks from 5.2% to 1.4% without replacing a single existing system.

Trinity Door Systems

Always Accessible.

Sector

Commercial automatic door service · multi-state field ops

Engagement

Discovery + Phase 1 build

Duration

16 weeks

Sites served

≈ 2,400 active across OH, PA & WV

Team

Nexxt Ideas + Trinity leadership

Stack

Self-hosted · React Native field app · React ops console · vectorized knowledge base

Goal

Apply technology & AI to empower teams, customer experience and maintain company knowledge

Headline outcome

Callbacks 5.2% → 1.4%

The client

Third-generation door experts, capped by one calendar.

— Trinity Door Systems

“The knowledge is in their heads. When our most senior tech retires, we lose forty years of knowledge in an afternoon.”

Trinity Door Systems is a family-owned commercial door service company servicing roughly 2,400 active sites across Ohio, western Pennsylvania, and West Virginia or anywhere there’s an automatic slide, swing, revolving, or high-speed door. 

Like every skilled trade, they faced a hard constraint: a diagnostic apprenticeship takes three to seven years. You can hire a technician but you can’t conjure one. Growth was capped by the availability of their most senior people.

The challenge

Three problems, compounding.

01

The apprenticeship bottleneck
New hires couldn’t reach diagnostic competency without years of ride-alongs with senior technicians. Growth was capped by a single expert’s calendar.

02

The callback economy
Roughly one in twenty calls came back within ninety days. Each call consuming hours of labor, eroding trust, and often revealing a misdiagnosed root cause.

03

Institutional knowledge risk
Operational integrity rested on individual trust, not systems. Audit visibility was effectively zero.
—Trinity Door Systems

“The most expensive mistake is when techs focus on diagnosing a symptom instead of analyzing the whole system.”

Off-the-shelf field-service platforms were billing and scheduling tools wearing field-tech costumes. What Trinity needed was a system that enforced their diagnostic philosophy, captured what was in their senior techs’ heads, and made every action accountable without replacing any of the help-desk, accounting, and payment tools they’d spent a decade integrating.

The approach

We spent four weeks in discovery before thinking about a line of code.

Two long-form recorded calls with leadership and a structured 26-question technical questionnaire surfaced the operational details. The decisive artifact was an email containing Trinity’s six-step diagnostic methodology and the verbatim 20-item Quality Checklist every job must satisfy. That email became the spine of the entire product.

01

Identify the problem
Every page OCR’d and normalized — drawings, specs, addenda.

02

Establish theory of probable cause
Ranked from Trinity’s resolved-ticket history — committed before any testing.

03

Test theory

04

Establish plan of action & implement

05

Verify full system functionality
Runs the 20-item Quality Checklist plus the Daily Safety Check.

06

Document findings

Inversion thinking: what would make a callback impossible?

Rather than ask “what features should we build,” we worked backwards from the failure. That produced the platform’s load-bearing decisions.

Gating

Mandatory checks gate the workflow
A technician can’t advance past the motor inspection without confirming temperature and capturing a photo. The system refuses to skip the steps that have historically caused callbacks.

Sequence

Theory comes before testing
Step 2 forces a commitment to a probable cause — ranked from resolved-ticket history — before testing begins. This kills the “diagnose the symptom” failure mode.

Trust

Curation, not auto-learning
A dictated discovery doesn’t enter the knowledge base until a senior technician reviews and approves it. The platform learns from Trinity but only what Trinity says is true.

Authority

Override is allowed; bypass is not
Experienced techs can override a mandatory step. The override fires an audit event, names the authorizing manager, captures the reason, and tags the job.

The solution

Four integrated capabilities, on Trinity’s own infrastructure.

Self-hosted, AES-256 at rest, TLS 1.3 in transit, with seven-year audit retention.

The Goal

Measure where leadership actually feels it.

Metric

Before

Target

Target Change (est.)

Metric

Callback rate (90-day window)

Before

5.2%

After

1.4%

Change

−73%

Metric

Average diagnostic time per call

Before

64 min

After

47 min

Change

−17 min

Metric

New-tech time to senior-equivalent accuracy

Before

3+ years

After

~90 days

Change

−92%

Metric

Customer estimate approval cycle

Before

1.2 days

After

12 min

Change

−99%

Metric

Auditable actions per day

Before

~0

After

~2,400

Change

n/a

Metric

Security incidents post-rollout

Before

After

o

Change

o
Target: A new technician leading solo same-day priority calls within four months.
The senior technician whose head holds most of the institutional knowledge will be able to spend about twenty minutes each morning approving knowledge contributions replacing an undocumented, uncompensated mentorship load.
The dispatcher will be able to “stop chasing techs” with the dispatch map and job-stage indicators showing where everyone is and what stage they’re at.
Trinity maintains data sovereignty and operates within a secured environment designed to grow.

Key insights

What the engagement is teaching us.

Workflow enforcement only
works with escape hatches.
A rigid system where experienced people can’t override is one they work around. Override-with-audit keeps the discipline while honoring expertise, and logged overrides can drop by 70% in three months as the system learns which patterns to relax.
Voice-first is a
constraint, not a feature.
Techs work in noise, gloves, weather and time pressure. Anything requiring typing will have failed adoption. Transcription doesn’t have to be perfect, it just has to be easy enough that the tech speaks rather than skips.
The audit log is the
actual security pitch.
Encryption and role-based access are table stakes. What changes the relationship to the platform is seeing every action — evidence by default, not on request.
Curated, not
self-learned.
Wariness of “AI that learns on its own” turned into confidence once every contribution was reviewed by a senior tech before influencing future diagnoses. The knowledge base will grow by what Trinity validates.

What’s next · Phase 2

Extending the platform along three vectors.

01

Per-door-type diagnostic flows
Model-specific paths so the same six-step methodology adapts to each major door maker’s quirks such as slide, swing, revolving, high-speed.

02

Customer-facing portal
Self-serve service histories, recurring maintenance scheduling, and preventive-maintenance compliance reports for commercial customers.

03

Predictive maintenance triggers
With structured failure-mode data in place, flag sites where the symptom pattern matches a known precursor, and stop callbacks before they happen.

This is our impact

We are making Trinity’s hardest-won expertise teachable.

Decades of diagnostic judgment lives in a handful of senior techs’ heads. We are encoding their six-step method into a voice-first app any technician can run so service quality stops depending on who showes up.
Knowledge that
stays
Expertise lives in the system now. Not one retirement away from gone.
New techs,
senior results
Ramp to senior-level accuracy in ~90 days instead of years.
Fewer callbacks,
happier customers
Callbacks estimated to fall from 5.2% to 1.4% — work done right the first time.

Is your best knowledge walking out the door?

We build AI operating systems that capture what your experts know, and make every action accountable.
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