AI Expert Assistants

AI Development · Expert Assistants

AI expert assistants. Your best expert's answer, on every shift.

The answer to most service, engineering and plant questions already exists in a manual, a bulletin or a resolved case. It just lives in your most experienced people's heads. We build AI expert assistants that find it, cite it, check it against your systems and take the next step, so technicians, dealers, engineers and operators stop waiting for the one person who knows.

Grounded in your content Manuals, specs, bulletins, case history
Every answer cited Down to the page and the record
Permission-aware Users only see what they are entitled to
Knows when to escalate Hands off to a person, with context
What separates an expert assistant from a chatbot
01
It answers from your sources

Your manuals, drawings, bulletins and resolved cases, not the open internet

02
It shows its evidence

Every answer links to the document, page or record it came from

03
It knows the asset

Model, serial number, configuration and service history in context

04
It takes the next step

Checks the part, the entitlement or the order, and raises the case

05
It says "I don't know"

Escalates to a person instead of guessing when confidence is low

Trusted by Enterprise Teams Worldwide
The New York Times
Colgate
Doosan Bobcat
OSRAM
Dubai Airports
WestJet
HID Global
Adani
BDC
Arch Capital Group
Interac
Devon Energy
United Community
Boxabl
RaceRock
ProfitGrid
Hunter Lab
The New York Times
Colgate
Doosan Bobcat
OSRAM
Dubai Airports
WestJet
HID Global
Adani
BDC
Arch Capital Group
Interac
Devon Energy
United Community
Boxabl
RaceRock
ProfitGrid
Hunter Lab
Definition

An expert assistant does more than search.

The Assistant Shift
Enterprise search

A list of documents to read.

Expert assistant

A cited answer and the next step.

An AI expert assistant is a role-specific assistant that answers questions from an organisation's own technical and operational knowledge, cites where every answer came from, and can act on the answer inside enterprise systems: look up a part, check a warranty, update a work order or open a case.

It sits between enterprise search and an autonomous agent. Search returns documents and leaves the reading to the user. An agent completes a workflow on its own. An expert assistant works alongside a person: it reasons over the right sources for that person's role and asset, gives a grounded answer, and prepares the next action for them to confirm.

The value is in who gets the answer. Field technicians, dealer service desks, junior engineers and operators on a night shift get the answer your senior experts would give, and the experts get their time back for the problems that genuinely need them.

Where Assistants Fit

Search finds documents. Expert assistants solve the problem.

Worth settling before you scope one, because the content work, the integration and the controls are different at each level.

Level 01
Enterprise search

Returns a list of documents that match the words typed. The user reads and decides.

“Here are 14 documents mentioning fault E-214.”
Level 02
Knowledge assistant

Answers in plain language from your content, with citations. Read-only.

“Fault E-214 indicates low hydraulic pressure. See service manual, section 6.3.”
Level 04
Agent

Completes the whole workflow on its own and escalates only the exceptions.

“Claim validated, part reserved, work order closed, exception raised on labour hours.”
Anatomy

Nine parts of a production expert assistant.

The model is one part of nine. The quality of an expert assistant is decided by the content work and the controls around it.

01
Content ingestion

Manuals, service bulletins, drawings, specifications, parts lists, SOPs and resolved cases, kept current as documents change.

Foundry: Knowledge Services
02
Document understanding

Reads tables, exploded diagrams, wiring references and parts lists, not just paragraphs of text.

Foundry: Knowledge Services
03
Knowledge graph

Links models, serial numbers, parts, fault codes and procedures, so answers fit the exact asset in front of the user.

Foundry: Knowledge Services
04
Permission-aware retrieval

Retrieves only what the user is entitled to see, inherited from your existing access model.

Foundry: AI Control Plane
05
Grounded answers

Answers composed only from retrieved sources, with a citation for every claim and an abstain path when sources are thin.

Foundry: Agentic AI Runtime
06
Actions & tools

Checks stock, entitlement, warranty and order status, and creates cases or work orders in ERP, CRM and dealer systems.

Foundry: Integration Fabric
07
Channels

Teams, web portals, mobile and voice for the shop floor, so the assistant is where the question is asked.

Foundry: Agentic AI Runtime
08
Escalation & hand-off

Routes unresolved questions to the right expert with the conversation, asset and sources attached.

Foundry: Agentic AI Runtime
09
Evaluation & feedback

Golden question sets, regression gates and user feedback reviewed by your experts, so accuracy is measured, not assumed.

Foundry: AI Control Plane
What We Build

Five expert assistants that actually reach production.

Named by who uses them and what they ask. Most run on the same knowledge foundation, so the second assistant is faster than the first.

01
Assistant 01

Troubleshooting & field service assistant

A field service copilot for technicians. Diagnoses from fault codes and symptoms, walks through the procedure for the exact model and serial, identifies the part and prepares the work order or warranty claim.

Typical questions
  • What does this fault code mean on this unit?
  • Which procedure applies to this serial?
  • Is the part in stock, and is it covered?
  • Has this failure been seen before?
02
Assistant 02

Dealer knowledge assistant

Gives dealer service desks and parts counters the same answers your support team would, so routine questions stop escalating to the OEM and dealers resolve more at first contact.

Typical questions
  • Is this part compatible with this model?
  • What does the warranty policy allow here?
  • Which bulletin supersedes this one?
  • What is the status of my claim or order?
03
Assistant 03

Engineering knowledge assistant

Answers from specifications, standards, drawings, test reports and past designs, so engineers stop searching across PLM, shared drives and email, and expertise stays when people move on.

Typical questions
  • Which standard applies to this component?
  • Have we designed something similar before?
  • What changed between these revisions?
  • Which products use this part?
04
Assistant 04

Shop-floor assistant (voice and chat)

Hands-free answers for operators and maintenance crews at the line: SOPs, changeover steps, quality checks and equipment history, by voice or chat, in the language the shift works in.

Typical questions
  • What is the changeover sequence for this product?
  • What is the tolerance for this check?
  • When was this machine last serviced?
  • Who do I call for this alarm?
05
Assistant 05

Enterprise self-service assistant

Answers employee questions about policies, processes and enterprise systems, and completes routine requests in ERP, HR and IT service tools, so internal support teams handle only the exceptions.

Typical questions
  • How do I raise this request in ERP?
  • What does the travel policy allow?
  • Where is my purchase requisition?
  • Reset this access for me
In The Business

Decades Of Data & AI Delivery

The scale and experience behind every engagement, from strategy through production.

0 Years in Operation
0 Global Clients Served
0 Industries Served
0 Projects Delivered
0 AI Solutions Delivered
Our Partners in AI
OpenAI
Anthropic
Google Gemini
Meta
Microsoft
AWS
Autonomy

How far should an assistant go beyond the answer?

Decided per assistant and per action with the business owner, before anything is built. Most start at prepare-and-confirm.

L0
Answer

Grounded answer with citations. No access to live systems.

Read-only
L1
Answer in context

Reads live data such as stock, entitlement and asset history to tailor the answer.

Read live systems
L3
Act within bounds

Completes routine actions on its own inside defined limits, escalating anything outside them.

After evaluation
L4
Hand to an agent

Passes the whole workflow to an agent that runs it end to end, with monitoring and reversal.

High volume, low variance
Control

A confident wrong answer is worse than no answer.

A technician acting on a wrong torque value or a superseded procedure is a safety and warranty problem. These eight controls ship with every assistant we build.

Approved sources only

Answers come only from content your owners have approved, never from the model's general knowledge.

Citation on every answer

Every answer links to the document, page or record behind it, so users can verify in seconds.

Abstain over guess

Below a confidence threshold, the assistant says it does not know and routes the question to a person.

Version control

Superseded bulletins and old revisions are excluded, so answers reflect the current procedure.

Permission inheritance

Users and dealers see only the content and records they are entitled to.

Golden question sets

Real questions with expert-approved answers, tested before release and on every change.

Expert feedback loop

Flagged answers are reviewed by your experts and fixed at the source, not patched in the prompt.

Full traceability

Every question, source retrieved, answer and action retained and searchable for audit.

Where We Apply It

Grounded in the expertise your business actually depends on.

Flagship depth in two industries, with the same assistant patterns across healthcare, retail, consumer goods, logistics, energy and media.

Flagship Industry
Manufacturing
  • Field service and troubleshooting copilots
  • Dealer service and parts compatibility assistants
  • Engineering knowledge and standards assistants
  • Shop-floor assistants for operators and maintenance
  • Self-service assistants for ERP and enterprise systems
Explore manufacturing →
Flagship Industry
Financial Services
  • Investment research assistants
  • Advisor meeting preparation and client reporting
  • Compliance and policy question answering
  • Lending policy and credit guideline assistants
  • Operations and servicing knowledge assistants
Explore financial services →

Delivered: 50% faster support response for a Global OEM Dealer & Service Network, and 80 to 90% faster investment research for a Global Asset Management Firm.

Our Works

Real Outcomes, Delivered at Scale

See how we help enterprises apply AI to improve operations, decision-making and customer experiences.

01
Global Construction Equipment OEM

AI-Powered Dealer Credit Validation for Smarter Pricing

An intelligent AI platform automated dealer credit validation, pricing verification, and reimbursement workflows to improve operational efficiency, governance, and financial accuracy.

80% Efficiency
Improvement
Read Full Case Study
02
Global OEM Dealer & Service Network

Transforming Dealer & Customer Support with AI

An AI-powered knowledge platform streamlined dealer and customer support by delivering faster, context-aware responses and reducing manual effort.

50% Faster Support
Response
Read Full Case Study
03
SMB Virtual CFO and Insights Platform

AI Virtual CFO Platform for Smarter Financial Decisions

A multi-tenant AI platform consolidated financial data, automated reporting, and delivered advisor-level insights for thousands of concurrent users.

95% Faster Financial
Reporting
Read Full Case Study
04
Automotive & Industrial Castings Manufacturer

From Customer Requirements to Engineering-Ready Designs

An AI-powered platform converted customer requirements into engineering-ready design inputs, reducing design iterations and accelerating production readiness.

45% Faster Design
Iterations
Read Full Case Study
05
Global AI Financial Advisor Enterprise

Decision Intelligence Agents for Financial Institutions

A unified AI finance engine integrated ERP and credit models to deliver real-time liquidity insights and automated working capital decisions.

5X Faster Finance
Decisioning
Read Full Case Study
Technology Ecosystem

Technology Supporting Our AI Expert Assistants

Our expert assistants span models, retrieval and knowledge-graph layers, document understanding, integration tooling, and deployment environments.

The IX AI Foundry provides reusable capabilities for knowledge services, grounding, evaluation, integration, and operational control.

PythonPython
TypeScriptTypeScript
GoGo
LangChainLangChain
AutoGen MicrosoftAutoGen
CrewAICrewAI
LangGraphLangGraph
GPT-4 (OpenAI)GPT-4
Claude (Anthropic)Claude
Llama 3 (Meta)Llama 3
Mistral AIMistral AI
PineconePinecone
ChromaDBChromaDB
FAISSFAISS
WeaviateWeaviate
CrewAICrewAI
AutoGPTAutoGPT
BabyAGIBabyAGI
AutoGen AIAutoGen AI
AWS BedrockAWS Bedrock
Google Vertex AIVertex AI
Azure OpenAIAzure OpenAI
NVIDIA DGX CloudNVIDIA DGX
DeepSpeedDeepSpeed
TensorRTTensorRT
ONNXONNX
Guardrails AIGuardrails AI
OpenAI Moderation APIModeration API
VoyagerVoyager
SWARM AISWARM AI
CAMELCAMEL
SK-LLMSK-LLM
OpenCVOpenCV
YOLOYOLO
TensorFlow VisionTF Vision
FAQ

Expert assistant questions

Search returns documents and a chatbot answers from a script or general model knowledge. An AI expert assistant answers from your own approved content, cites every source, knows the user's role and asset, checks live systems, and prepares the next action. It escalates to a person when it is not confident.

Service manuals, bulletins, drawings, specifications, parts lists, SOPs, standards, policies, resolved cases and service history, plus live data from ERP, CRM, dealer, PLM and maintenance systems. Content is ingested with its permissions and version history intact.

Answers come only from approved sources, every answer is cited, superseded documents are excluded, and the assistant abstains below a confidence threshold. Accuracy is tested against golden question sets approved by your experts before release and on every change.

Yes. The troubleshooting assistant reads service history, asset configuration and parts availability from your existing systems, and can prepare work orders or warranty claims for the technician to confirm, under your permission model.

Timelines depend most on the state of the content. Where manuals and case history are digital and current, the first assistant moves quickly. Where content is scanned, scattered or out of date, content preparation comes first. We assess this in discovery and say which applies before we quote.

Technicians, dealer service desks, engineers, operators and employees, through Teams, web portals, mobile apps and voice on the shop floor. The same knowledge foundation serves every channel.

Yes. External users only see content and records their role and dealer agreement entitle them to. Retrieval is permission-aware, and every question and answer is traced for audit.

An assistant works alongside a person and prepares actions for them to confirm. An agent completes a workflow on its own and escalates only exceptions. Many programmes start with an assistant and promote proven, high-volume actions to an agent later.

We are model independent. Models sit behind the IX AI Gateway and can be changed without rebuilding the assistant. Assistants run in your environment, in the cloud, on-premises or hybrid, and your content stays under your control.

Content changes and accuracy drifts if no one owns it. We operate assistants through AgentOps and AI Managed Services, covering evaluation, content freshness and tuning, or hand your team the runbooks, golden sets and documentation to run it.

Talk to an AI Expert

Bring us the question your experts answer every day.

And the manuals, bulletins and cases the answer lives in. We will show you what an expert assistant would answer, what it would cite, and where it would hand off.

01
A 30-minute working session

With an AI architect and a delivery lead. No pitch deck.

02
Bring

Twenty real questions, the documents behind the answers and the systems your users work in.

03
You leave with

The first assistant to build, the content work it needs and a realistic path to production.