Agent orchestration
8 articles
Payments for machinesSettlement for AI work
Agents now buy model calls from machines run by many independent operators, often many times a second. That demand needs a layer between buyer and operator that routes each call, settles it, and records what was bought. This is the case for that layer, and what Tenzro does in it.
7 min read
Payments for machinesPayment rails for machines
Invoices and cards assume a person, a merchant and an amount large enough to carry a fixed cost. Machines buying AI work need per-call settlement, payment channels for high-frequency calls and delegated spending under limits. How those rails work on Tenzro, and how they sit alongside x402 and AP2.
5 min read
Payments for machinesSpending limits and revocation for agents
When software spends money, someone has to answer for it. That takes a responsible party behind every agent, limits the agent cannot raise itself, and a revocation that stops payment on every rail at once. How each of those works on Tenzro, and why each has to be enforced outside the agent.
5 min read
Enterprise AIAgentic AI in the Enterprise: Delegation You Can Audit
When agents call tools and spend money, governance has to move from policy documents into the systems that authorise each action. A delegation model, a control checklist and the records an auditor will ask for.
5 min read
Edge AIAgentic Harnesses on Small Devices: Orchestrating From the Edge
Most of an agent's work is orchestration, not large-model inference. Why the harness belongs on small hardware near the data, what runs on a Tenzro edge node today, and what edge harness hosting will add once it ships.
5 min read
SafetyDesigning Safe Harnesses: Scopes, Limits, Expiry and Revocation
Prompt injection will sometimes succeed, so an agent's safety has to live outside the model. How Tenzro bounds every delegated agent with consensus-enforced scopes, spending limits, expiry, step-up approval and revocation, with an accountable root behind each one.
5 min read
Machine economyThe machine economy: agents, robots and devices as buyers
Software agents, robots and devices are starting to buy and sell AI work themselves. This briefing for decision makers covers what changed in 2025 and 2026, what a machine needs in order to transact safely, and the infrastructure questions to ask before letting machines spend.
5 min read
Machine economyMachines That Pay Machines: Accounting for Autonomous AI Work
When agents buy inference, data and compute from other machines, the hard parts are accounting, receipts, limits and settlement, not the payment rail. How Tenzro records each payment once, binds it to what was asked and delivered, and settles in the rails people already use.
5 min read