Historical-data assessment: we analyze one support workflow and show you where training falls short.Learn more →
Use case · Defense & mission-critical training

Every question is a readiness signal.

AINGEL checks mission-critical support conversations against protocol, shows where knowledge gaps put readiness at risk, and measures whether the fixes work.

MAINTENANCE HELP DESK · HYDRAULICS · CALIBRATION
SYNTHETIC
TECHNICIANPressure’s still out of range after the pump swap. Do I recalibrate before or after the leak check?
HELP DESKRecalibrate first, then run the leak check.
TECHNICIANThat’s what I did last time and had to redo it.
Advice differs from the procedure’s step order
Protocol check
Advice compared against the technical procedure
Correct procedure referencedYes
Step order matches procedureNo
Safety caution givenMissing
Repeat contact on this taskYes
System: hydraulicsTask: calibrationGap: step sequence
PATTERN FOUND
The same calibration step sits behind most repeat calls on this system. Flag for the course owner.
Where AINGEL fits

We analyze and improve training. We don’t deliver it.

Simulators already grade performance, and courseware stays with your training teams. AINGEL covers what happens around them: the questions technicians, trainees and operators ask when the training didn’t quite land.

SIMULATORS
Grade performance in the exercise
COURSEWARE
Delivers the curriculum
AINGEL
Finds where training falls short, from the conversations that follow it
How it works · starting with maintenance

What technicians ask the help desk shows exactly where training falls short.

  1. 01

    A technician gets stuck

    on a repair and calls the help desk or opens a ticket.

  2. 02

    AINGEL reads every call and ticket

    and checks the advice given against the procedure.

  3. 03

    It spots a pattern

    such as one calibration step behind most repeat calls.

  4. 04

    Training closes the gap

    The course, refresher or manual gets updated.

  5. 05

    The result is measured

    Fewer repeat calls, more problems fixed the first time.

Then the same approach extends to instructors, through trainee questions and debriefs, and to system operators, through questions about new systems.

The platform

Same proven workflow. Mission content.

The capabilities support teams already use, pointed at technical procedures and training standards instead of customer-service guidelines.

Protocol compliance

AutoQA scores every support conversation against criteria built from your technical procedures. Did the help desk give the correct procedure, in the right order, with the right cautions?

CRITERIA · FROM PROCEDURE
Procedure cited
Step sequence
Safety cautions
SYNTHETIC EXAMPLE

Knowledge gap detection

A training taxonomy of system, task, gap and root cause surfaces recurring faults and the topics people keep struggling with.

Consistency

Reviewer calibration checks that help-desk staff give the same fix, and instructors explain and grade the same way.

Coaching

Feedback per help-desk agent, instructor or support person, tied to the exact moments in the conversation.

Readiness impact

The metrics change with the mission. Expert reviewers are your technical specialists, and results are reported in readiness and training terms.

IN CXIN TRAINING
First-contact resolutionFirst-time fix rate
Handle time, escalationsTime to resolve, rework
Agent onboarding speedTime to independent operation
Who it’s for

What AINGEL does for each audience.

Where to start: help-desk calls and tickets from technicians on the job, closest to what AINGEL analyzes today.

Protocol compliance
AUTOQA
Did the help desk give the correct procedure?
Knowledge gap detection
CX INTELLIGENCE · TAXONOMY
Recurring faults and repeat calls by system.
Consistency
REVIEWER CALIBRATION
Help-desk staff giving the same fix.
Coaching
AGENT PERFORMANCE
Feedback per help-desk agent.
Readiness impact
READINESS VIEW
Repeat calls, escalations and time to resolve.
Value

Lead with readiness. Back it with cost.

For the military customer: readiness and availability. Field results show up first, from help-desk conversations alone; training results follow once training records are connected.

01
People capable sooner
Qualified personnel available for duty sooner.
02
Fewer repeat training sessions
More training throughput from the same instructor capacity.
03
Training aimed at real gaps
Courses and refreshers updated where people actually struggle.
04
Fewer repeat issues in the field
Fewer maintenance delays once the gap is closed.
05
Problems fixed the first time
Likely shorter equipment downtime.
SECURITY FIRST

We show you where your data stays before we show you a single feature.

HostingSet to your residency requirements
LanguagesEnglish and French, scoped per program
Audit trailAgreed with your security team
EVIDENCE, NOT CLAIMS

Every finding has to earn its place.

  1. 1It finds a problem your team already knows about.
  2. 2It backs the finding with the actual conversations.
  3. 3It helps you decide what to change.
FAQ

Questions from training and readiness teams

Does AINGEL deliver training or grade trainees?

No. Simulators and courseware stay with your existing providers and teams. AINGEL analyzes the support and training conversations around them to show where training falls short and whether fixes work.

What data does it need?

Help-desk calls and tickets to start, plus trainee questions and debriefs where they’re recorded. The first step is a quick feasibility check on what you’re able to share.

Can it score against our technical procedures?

Scoring criteria are built from your written procedures and training standards, then checked by your technical experts during calibration.

Where does our data stay?

Where your data must stay is the first thing we settle, before any feature or demo. Hosting, residency and access are agreed with your security team up front, and the assessment only starts once your data requirements are met.

How do we get started?

With a historical-data assessment of one workflow, measured against your own baseline. Turnaround is agreed after a quick feasibility check on your data.

Historical-data assessment · one workflow

Find the gaps before they reach the field.
Prove the fix with evidence.

Start with one equipment type and its help desk. We’ll analyze your past conversations against your baseline and show you where training falls short.