AIGAUR SOLUTIONS

Enterprise AI Agents

AI agents that retrieve business context, use approved tools, and escalate decisions to people.

Build an AI agent

What this makes possible.

AIGaur builds scoped AI agent workflows for sales, support, and operations. An agent can retrieve approved information, propose or perform permitted actions, and record what happened. Boundaries, evaluation, and human escalation are part of the architecture.

Who is this for?

Organizations with a well-defined knowledge or task problem, accessible source data, and a named owner for the agent’s decisions.

  • People search across disconnected knowledge bases before completing routine tasks.
  • A chatbot can answer questions but cannot safely interact with business tools.
  • An AI prototype has no clear permissions, evaluation set, or failure owner.

What we build.

Task and permission design

Specify allowed actions, read and write access, identity propagation, approval gates, and actions the agent must never take.

Knowledge retrieval

Build retrieval over approved documents, CRM records, or tickets. Preserve access rules, show source references, and define freshness expectations.

Tool integration

Connect APIs through tool calling, function calling, or MCP where appropriate. Validate arguments and enforce permissions outside the model.

Evaluation and operation

Test representative tasks, failures, and adversarial inputs. Record tool use, latency, errors, and escalation outcomes without unnecessarily exposing sensitive data.

From a defined problem
to an operating system.

  1. Discover. Review OpenAI, Claude, MCP and the people using them. Agree on constraints and a useful outcome.
  2. Design. Turn the selected use case into an implementation plan, with ownership, acceptance criteria, and known dependencies.
  3. Build and verify. Implement the agreed scope, test realistic inputs and failure cases, and review the result with your team.
  4. Handover and improve. Document how the system works, what needs maintenance, and how to evaluate the next change.

A workflow with clear boundaries.

01 / TRIGGERA request arrivesForm, email, or CRM
02 / CONTEXTFind what mattersApproved business knowledge
03 / REVIEWA person approvesClear permissions & exceptions
04 / ACTIONAct. Log. Improve.Connected tools, visible results

Illustrative architecture; tools and approval requirements depend on the agreed use case.

Where this is useful.

Support assistant

Retrieve relevant policy, draft a source-backed answer, and escalate missing context or sensitive requests.

Sales operations agent

Summarize permitted account history, prepare a next-step recommendation, and request approval before changing records.

Examples describe possible project patterns; they are not client outcome claims.

Systems we can connect.

Integration choices depend on the APIs, permissions, licensing, and deployment requirements in your environment.

OpenAIClaudeMCPCRMKnowledge basesSupport platforms
Before you commit. Multi-agent systems add coordination and observability costs. Start with the simplest architecture that can complete the task reliably. Never rely on a prompt as the sole access-control mechanism.

Questions worth asking.

What is the difference between an agent and a chatbot?

A chatbot primarily exchanges messages. An agent workflow can also retrieve context and call tools within defined permissions. The distinction depends on what the deployed system can actually do.

Can an agent act without approval?

Only for actions explicitly authorized in the design. Higher-impact or ambiguous actions should require a person or be blocked.

Built by AIGaur.

INTERNAL SYSTEM · IN DAILY OPERATION

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INTERNAL TOOL · WORKING PROTOTYPE

AI Teleprompter & Speaking Copilot

A native macOS teleprompter that follows your voice as you speak, plus a live copilot that transcribes the room and streams suggested talking points from Claude.

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Connected solutions.

Data + AI

Connect enterprise knowledge, search, analytics, and AI to the data your team is allowed to use.

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AI Automation & n8n

Connect CRM, email, billing, support, and reporting into reliable workflows with human approval where it matters.

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From our work and writing.

MetroConnect

Explore an actual AIGaur product and its verified feature boundaries.

Explore MetroConnect

LET’S BUILD SOMETHING USEFUL

A real problem.
A good place to start.

Tell us what you want to build, connect, or improve. We’ll work out the next step together.

Work with AIGaur