Conversational Intelligence
A mentor you can call before, during, or after any task.
Coaching, technical reference, and real-time support — unified in a single voice-first agent that understands your knowledge base, your compliance requirements, and the task your team member is performing right now. Not a chatbot. Not a search engine. A verified knowledge agent, accessible by voice, wherever your team works.
Conversational Intelligence
Voice agent active
Installation Manual v4.2
Section 3.7 — Torque Specs
Answer sourced from
your documentation
Timestamped & mapped
to compliance framework
Training content does not follow your team to the job.
A maintenance technician in an aircraft hangar needs the torque specification for a specific fastener. An avionics engineer needs to verify a wiring diagram against the latest service bulletin. A new hire on the production line is performing an assembly for the first time and needs to reference the manufacturer’s documentation.
In each case, the knowledge exists. It is in the training materials, in the SOPs, in the manufacturer’s manual. It is in the LMS, filed under a course title the worker may not remember, behind a login they may not have on the device they are holding.
The gap between knowledge existing and knowledge being accessible at the moment of need is where mistakes happen. Not because the worker was never trained. Because the training was not available when the task required it.
This is the problem Conversational Intelligence solves. Not more training content. Not better courses. Access — real-time, voice-first, verified access to the knowledge your team needs, in the context they need it, at the moment they need it.
More than coaching. More than a chatbot.
A field-ready AI agent.
Conversational Intelligence is the union of five capabilities that, until now, required five different tools — or more commonly, were not available at all:
Coaching
The agent coaches your team through skill development and training scenarios, adapting to each person’s role, experience level, and demonstrated competency.
Technical reference
The agent looks up specifications, installation procedures, safety protocols, and manufacturer documentation from your organization’s knowledge base. Ask a question by voice, get a verified answer.
Real-time support
The agent provides guided, step-by-step support during tasks. A new hire performing a procedure for the first time can ask questions as they go — without pulling a senior team member off their work.
Training reinforcement
The agent conducts voice-based micro-assessments at optimized intervals, verifying that knowledge from past training has been retained. Not a quiz. A conversation that identifies what is fading and reinforces it.
Compliance verification
Every interaction with the agent is logged, timestamped, and mapped to your compliance frameworks. The agent does not just answer questions. It produces evidence that your team sought, received, and verified the correct information.
These are not five separate features. They are one agent that understands your knowledge base, your regulatory requirements, your role structures, and the context of the task being performed. The interaction is voice-first — meaning your team can use it hands-free, in the field, on the production floor, on the hangar deck, on the job site.
By Role
One agent. Every role.
Conversational Intelligence is not a single-use tool for a single audience. It serves the full value chain — from the person learning a skill to the person verifying that the skill was retained.
Verified answers on the job site, not after the shift.
You are mid-installation. The manufacturer documentation specifies a torque value for a critical fastener, but you cannot remember whether the spec changed in the latest revision. You ask the agent. It references the current version of the documentation in your company’s knowledge base and confirms the specification. You proceed with verified information. The interaction is logged.
This is not internet search. The agent does not guess from general knowledge. It references your documentation — the specific manuals, specs, and procedures your organization has loaded into the knowledge base. If the documentation does not contain the answer, the agent says so. That honesty is the difference between a reference engine and a chatbot.
Technical knowledge that keeps pace with the product line.
A customer asks about the integration requirements for a system your company qualified last quarter. You have not been through the full product briefing yet. You ask the agent. It walks you through the key specifications, certification status, and integration considerations — drawn from the product documentation and engineering data your organization has published.
You arrive at the customer meeting technically prepared, not guessing. And because the interaction is logged, your director has visibility into which product areas your team is actively referencing — which tells them where the knowledge gaps are, without requiring a formal assessment.
Team readiness verified before the work begins.
You have a team starting a critical assembly sequence tomorrow. Three of them completed composite layup training eight months ago. Can they still perform the procedure correctly? You ask the agent to run a quick verification — a voice-based check-in that confirms they remember the critical steps. The results tell you who is ready and who needs a refresher before they begin work on flight-critical hardware.
This is not surveillance. It is due diligence. You are not catching people who failed. You are confirming that your team is ready, and producing the documentation to prove it.
Guided support without pulling someone off the job.
It is your third week. You are performing a procedure you have been trained on, but this is the first time you are doing it on your own. You are not confused — you are careful. You ask the agent to walk you through the steps, not because you forgot, but because you want to make sure you are doing it right.
The agent references the SOP, confirms each step, and flags any safety considerations specific to the task. Your supervisor does not get pulled off their work. You build competence through supported practice, and the system documents that you completed the procedure with guided verification.
This is what onboarding looks like when the organization’s knowledge is available on demand, not locked inside a senior team member’s head.
Hands-free. Because your team’s hands are not free.
The primary interaction mode for Conversational Intelligence is voice. Your team speaks to the agent and the agent speaks back. This is not a feature decision. It is a field reality.
An aircraft mechanic cannot search a knowledge base while holding a torque wrench. A production technician cannot type into a tablet while performing a composite layup. An inspector cannot scroll through a course library during a walk-down.
Voice-first means the knowledge is accessible without stopping the work. The agent runs on any phone. No special hardware. No dedicated device. The phone your team already carries is the interface.
Text interaction is also available for environments where voice is not practical — control rooms, open offices, situations where speaking aloud is not appropriate. The agent adapts to the interaction mode.
“The torque specification for that fastener is 35 ft-lbs, per Section 3.7 of your installation manual, revision 4.2.”
What makes this different from the chatbot your team already ignores.
- Generates answers from a broad language model
- Treats every question as an isolated query
- Conversations disappear after the session
- Answers the question and stops
- Improvises when it does not know the answer
- Source of truthReferences your SOPs, your specs, your compliance frameworks. The answers come from your organization’s own materials.
- Context awarenessAdjusts based on the person’s role, their assessment history, and the task they are performing.
- Audit trailEvery interaction is logged, timestamped, and mapped to your compliance frameworks.
- Guided verificationFollows up: “Would you like to verify the steps before you proceed?” Bridges from reference to verification.
- Acknowledgment of limitationsWhen the knowledge base does not contain the answer, the agent says so. It does not improvise.
The agent knows what your organization knows.
Conversational Intelligence is only as useful as the knowledge base behind it. The agent does not generate answers from general-purpose AI models. It references your organization’s specific documentation:
Technical specifications
Product specs, material data sheets, equipment manuals, installation guides.
Standard operating procedures
Step-by-step procedures for every task your team performs.
Safety protocols
FAA safety directives, company-specific safety standards, facility-specific procedures, emergency response plans.
Regulatory frameworks
FAA maintenance requirements, AS9100 quality standards, ITAR export controls, DO-178C software assurance — mapped to your organization’s specific compliance obligations.
Training materials
The content from your training programs, structured so the agent can reference it in context during real-time interactions.
Manufacturer documentation
For organizations that distribute, install, or service equipment — the manufacturer’s technical documentation, structured for voice-first access.
The knowledge base is structured so that the agent can answer questions in context. When a technician asks about a torque specification, the agent returns the specific specification for the specific component — with the relevant procedural context. This is the architecture that makes the difference between “AI that answers questions” and “AI that references your documentation accurately.”
See Conversational Intelligence in action.
Book a demo tailored to your industry and compliance requirements.