Voice-agent reference productMeet Zara Explore the 2-minute sandbox

AI agent reliability + automation engineering

AI agents that work beyond the demo.

AuraMind designs, evaluates and hands over voice agents and tool-using workflows for AI teams and growing businesses. Every build ships with tests, human approval gates and clear ownership.

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Founder-led in Hamburg Public-safe technical proof Human approval for high-impact actions

Reliability trace Booking request / voice intake

Ready for review

01
Source receivedCaller intent + preferred time
captured
02
Agent checksRequired fields + policy boundary
passed
03
Evidence ledgerTranscript, fields and action trace
stored
04
Human approvalTeam confirms before downstream action
waiting

SourcesSignal agentEvidenceDecision

01 Test before action 02 Evidence before claims 03 Handover before lock-in

Three clear ways to start

One workflow. One reliability target. A system your team can inspect.

Agent Reliability Sprint

We reproduce failures, design evaluation scenarios and turn traces into a focused reliability backlog.

Scenario and rubric design
Tool-call and trace review
Prioritized remediation plan

Explore the sprint

Voice Agent Pilot

We map a phone workflow, build the intake and handoff, then test the moments where callers or tools can go off track.

Multilingual intake design
Consent and safety boundaries
Human handoff workflow

Explore voice agents

Workflow Automation Build

We connect the tools already in use, add approval gates and document the system so the team keeps control.

Process and data mapping
Agent and API orchestration
Runbook and ownership handover

Explore automation builds

Choose your path

Reliability for the product team. Operational leverage for the business team.

AI product teams

Find where the agent fails before users do.

Evaluation design, adversarial scenarios, trace review, RAG quality checks and human-action boundaries.

Review reliability work

Operations teams

Turn repeated work into an owned system.

Voice intake, lead routing, CRM updates and approval-led automation around the tools already in place.

Review workflow work

Featured proof

Proof, not a capability list.

Public reference builds and inspectable engineering artifacts. Client outcomes stay off this page until evidence and disclosure permission are in place.

Reference implementation / public sandbox

Zara voice reception

A multilingual voice-agent workflow that gathers a caller's request, structures the intake and prepares a human-reviewed handoff.

Risk boundary: No emergency, sensitive or diagnostic use
Approval: Human review before downstream action
Public limit: Two-minute sandbox session

Inspect Zara

Open-source evaluation tooling

Agentic Eval Ops Kit

Public code for scorecards across voice-agent, trace-review and red-team workflows. The repository is engineering evidence, not a customer outcome claim.

Inspect repository

Reliability framework

Enterprise AI Evaluation Framework

A public framework for agent workflow, retrieval quality, safety and audit-readiness checks, with limitations kept visible.

Inspect repository

Open the proof library

Delivery model

Built to survive contact with the real workflow.

01
Map
Define the outcome, risky actions and success criteria.
02
Build
Connect the minimum useful workflow around existing tools.
03
Break
Test edge cases, tool failures, unsafe actions and weak evidence.
04
Handover
Ship the runbook, test set, ownership map and next decisions.

AuraMind Labs

Selected experiments, with the limitations left on.

Voice agent QARealtime Voice Agent QA ConsolePublic repository / synthetic test fixtures Agent red teamAgent Red-team Regression KitPublic repository / synthetic scenarios Research prototypeTrendAtlasCreator-intelligence lab / not a customer traction claim

Explore selected GitHub work

Founder portfolio

The operator behind AuraMind has a separate proof room.

Kartik's portfolio keeps the personal story, engineering projects, Upwork experience and complete GitHub atlas in one focused place. AuraMind stays the company and product gateway.

Kartik BK Mishra / AI automation engineer Projects, evaluation systems, experience and source-backed build evidence.

Open founder portfolio

Company thesis

From workflow failures to reusable reliability infrastructure.

Client workflows reveal recurring failure modes. AuraMind turns those failures into repeatable tests for tool-using and voice agents.

Read the company direction

Start with the workflow

What should the agent do, and where must a person stay in control?

Send the current workflow, the desired outcome and the action that cannot go wrong. AuraMind will reply from contact@aura-mind.de.