Custom AI Agents Grounded in Your Business Knowledge

Give employees, engineers, service teams, and customers faster access to approved information through AI agents that respect roles, sources, logging, and human approval rules.

KnowledgeSearch

RoleAccess

HumanReview

Custom AI agent knowledge assistant interface

More Than a General-Purpose Chatbot

A useful business AI agent must understand its permitted knowledge, user roles, workflow boundaries, and escalation rules.

MayilVeera builds AI agents for specific organisational and engineering use cases. The agent can retrieve approved information, prepare responses, generate structured output, or initiate an authorised workflow without bypassing controls.

The objective is to reduce repetitive searching and drafting while bringing expert knowledge closer to the point of work.

Custom AI Agents We Can Develop

Each assistant is scoped around real users, source systems, permissions, risk, and practical operating boundaries.

Engineering Knowledge Assistant

Help engineering teams search manuals, technical specifications, interface documents, standards, troubleshooting guides, application notes, test procedures, known issues, design documents, and frequent technical questions.

Maintenance and Service Assistant

Support equipment-document retrieval, alarm and fault-code lookup, troubleshooting guidance, inspection steps, service-history summaries, spare-part information, maintenance checklist preparation, and escalation.

Customer Support Agent

Assist customers and support teams with product questions, knowledge-base search, ticket information collection, request classification, response drafting, interaction summaries, routing, and escalation.

Sales and Proposal Assistant

Help authorised teams search product and service information, prepare first-draft responses, generate requirement checklists, summarise enquiries, prepare notes, draft proposal sections, and identify missing technical information.

Internal Process Assistant

Give employees controlled access to policies, SOPs, HR guidance, IT support instructions, forms, quality procedures, procurement processes, and project onboarding information according to role permissions.

Industrial Operations Assistant

Where suitable operational data is available, explain dashboard metrics, summarise machine events, compare periods, retrieve alarm descriptions, prepare shift summaries, find operating instructions, and draft reports.

Core AI Agent Capabilities

The agent can search selected company content, show sources, respect permissions, prepare structured outputs, and interact with approved tools through controlled interfaces.

Retrieval from approved knowledge

Source-grounded answers

Role-based access

Conversation context

Structured output

Workflow integration

Multilingual assistance

Logging and feedback

How the AI Agent Works

A controlled flow keeps answers grounded, permission-aware, reviewable, and measurable.

Request

The user asks a question or requests a defined task.

Permission Check

The application determines what information and functions the user may access.

Knowledge Retrieval

The system searches authorised information sources for relevant content.

Response Generation

The model prepares an answer using retrieved information and configured instructions.

Evidence

The application shows relevant sources or identifies that support was not found.

Approval

Sensitive actions, commercial commitments, or low-confidence responses go for human review.

Logging

Relevant events are recorded and authorised users can report incorrect or unhelpful responses.

Deliverables Can Include

Production readiness requires controlled data, security, evaluation, monitoring, support, and change management.

01Approved knowledge-source plan

02User-role and permission model

03Document ingestion approach

04Retrieval and response workflow

05Source-reference interface

06Structured output templates

07Integration and approval rules

08Evaluation question set

09Refusal and escalation behaviour

10Pilot deployment plan

11Usage logging and feedback design

12Monitoring and improvement plan

Frequently Asked Questions

Is a custom AI agent the same as a normal chatbot?

No. A custom AI agent is designed around approved knowledge, user permissions, specific tasks, integrations, escalation rules, and monitored performance.

Can it answer from private company documents?

Yes, if those documents are approved for use and the access model is correctly designed before ingestion.

Will the agent always give the correct answer?

No. Grounding, source references, evaluation, access restrictions, refusal behaviour, and human review reduce risk but do not remove it completely.

Can the AI agent directly operate a machine?

Direct machine control should not be the default design. Commands must remain subject to deterministic control, authorisation, safety systems, interlocks, and separate validation.

Can it connect to ticketing, CRM, or ERP systems?

Potentially, yes. Feasibility depends on APIs, authentication, permissions, data quality, and the actions the AI is permitted to perform.

How do we begin?

Start with one user group, one approved document collection, and a limited set of questions. Evaluate answers before adding more sources or workflow actions.

Put Your Organisational Knowledge to Work

Share the intended users, information sources, questions, workflow actions, confidentiality requirements, and expected outcomes.

Plan Your Custom AI Agent