Getamazednow AI — Tensor Node Lattice mark
Getamazednow AI · the continuous AI-assurance layer

The problem

Enterprises are deploying AI agents faster than they can see, describe, or defend them.

The gap between what leadership approved and what is actually running surfaces as audit findings, regulatory exposure, and stranded investment.

Faster

approval cycles — because the evidence is already there.

Lower

audit & remediation cost — because control is continuous.

Higher

realised return on AI — because the portfolio is visible enough to prune, fund and scale on fact.

The platform that closes the gap

Our platform

Getamazednow Assure — one layer, riding the estate you already run

Getamazednow AI builds the continuous AI-assurance layer for regulated enterprises. Its product suite — Getamazednow Assure — plugs into Microsoft Agent 365, ServiceNow AI Control Tower and Datadog, turning their telemetry into evidence risk, finance and engineering can all stand behind.

see it

Observe

Telemetry across the agent lifecycle — cost, latency, accuracy, drift, decision lineage. Risk, finance and engineering read the same numbers.

prove it

Govern

Policy expressed as executable controls over that telemetry, mapped to APRA CPS 230/234, SOCI and ISO/IEC 42001. Evidence generated continuously, not assembled quarterly.

stand behind it

Architect Vision

Capability maps, application portfolios and technology roadmaps maintained by agents against the live estate — the long-horizon vision, built once the assurance layer has earned its place.

Agent 365, AI Control Tower and Datadog run the agents; we turn their signals into evidence a risk committee, internal audit and APRA will accept. Integration surfaces, never competitors — the evidence is the product.

Observe

GenAI Observability

A reference dashboard for observing agentic GenAI in production — cost, reliability, security and responsible-AI risk correlated by trace across seven Datadog views.

Govern

ADSRA

Australian Digital Sovereignty Reference Architecture — seven sovereignty pillars, a six-level maturity model and measurable KRIs a Risk Committee can govern.

Architect

EA Agent Mesh

A multi-cadence agent mesh that runs enterprise architecture as a continuously operating practice — five clock speeds, twelve living artefacts, thirteen agents, one orchestrator.

Toolkit

Claude Skills

A library of Claude skills — capability mapping, brand automation and more — packaged as an installable plugin marketplace for Cowork and Claude Code. The build layer beneath the three planes.

Working with us

Three ways in — each step earns the next

FY27 is our validation year: every engagement is scoped to produce evidence you can take to your risk committee — and we can take to ours.

4–6 weeks

Assessments

Observability Readiness or ADSRA Sovereignty Maturity — a scored baseline of your agent estate mapped to the telemetry contract, with a board-ready findings pack.

8–12 weeks

Assurance Pilot

Assessment plus the MVP deployed single-tenant or inside your environment — narrow data contract, redaction by default — ending in an APRA/ISO 42001 evidence pack your risk function reviews.

Three seats · FY27

Design partnership

A working seat inside the build: quarterly Design Council, assessment credits, and today's pricing locked for three years post-GA. Qualified, not queued.

Decades of experience

Built from decades inside the rooms where these decisions are made — architecture boards, risk committees, commercial committees. We build for the people accountable for the estate, not for the demo.

Financial Services Banking Retail Healthcare Education Utilities India Australia United States South-East Asia