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GQ Agents.
Multi-agent orchestration
with audit trails built in.

Every action is a work packet. Every result is logged. Every decision is replayable. Designed for environments where you must prove what an agent did, why, and on whose behalf.

Work packet flow · live trace
A
PACKET · pkt_8a4f
instruction: classify invoice
success: high-confidence label, citation
→ B
B
PACKET · pkt_8b1c
instruction: verify against ledger
human-review: required if > ₹50k
→ C
C
RESULT
Approved · ledger match 0.991
event_log.jsonl +3 entries
Provenance
queryable
Replay
deterministic
HITL
protocol-native
The dilemma it solves

Agents are easy to demo. Hard to defend.

Most agentic frameworks give you LLM calls and a prayer. When the regulator, auditor, or board member asks what your agent did and why, you have a transcript, not an answer. GQ Agents makes the answer the protocol.

95%

of GenAI pilots deliver zero P&L impact (MIT, 2025).

63%

of organisations have no formal AI governance in place (IBM/Reco, 2025).

11 wk

median wait for an agentic workload to clear MRM when provenance is missing.

What GQ Agents does

A protocol designed for an audit, not a demo.

01

Work packets, not opaque chains

Every unit of agent work is a structured envelope: instruction, context, success criteria, test command, invoker. Nothing happens off the record.

02

Peer agents, not hidden hierarchy

Agents discover and invoke each other through a shared registry. No black-box framework deciding which model gets which task in production.

03

Replayable execution

Every packet, every result, every shared-memory write is appended to an event log. Re-run any decision a regulator asks about. Show exactly what happened.

04

Human-in-the-loop where it matters

Configurable escalation. Threshold-based handoff to a human reviewer. Approval gates for destructive or high-stakes actions. Built into the protocol, not patched on.

Who uses it

Three roles that need agents to be accountable.

Heads of AI · MLOps leads

Ship agentic workflows that pass model risk management on the first review, not the third. Hand the audit team a query, not a forensics project.

Risk and compliance officers

Approve agentic systems with confidence because every action is named, every output is traced, and every override is recorded.

Engineering leadership

Move past prompt-spaghetti. A protocol your team can reason about, debug, extend, and reuse across product lines.

Where it fits

The activation tier over a trusted foundation.

GQ Agents runs on top of GQData. Without trusted data, an audit-ready agent is still wrong, just provably wrong. With it, you ship governed AI that holds up to scrutiny. GST Co-Pilot is what GQ Agents looks like in production for a real regulated workload.

Ship agents you can answer the regulator about.

Bring a workflow you wish you could automate but can't defend yet. We'll walk you through how GQ Agents would handle it, end to end.