CTOs and decision makers
29 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 machinesWhat a receipt for AI work proves
Agent payment schemes prove that a payment was made and that someone consented to it. Inference receipts prove that a machine produced an answer. Neither alone proves that the money matched the work. What each kind of evidence covers, where the gap is, and how Tenzro binds the two.
6 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
Sovereign AISovereign AI is a placement problem
Sovereign AI is often discussed as a question of who owns the data centre. In practice it comes down to three engineering questions: where each request runs, who controls the keys, and what can be proven afterwards. Each one can be answered in the infrastructure itself.
5 min read
Enterprise AIA Corporate AI Strategy for 2026: From Pilots to Production
Most enterprises use AI; few run it at scale. A practical framework for moving from pilots to production, with a clear answer to the question pilots skip: where the inference capacity comes from.
5 min read
ConsensusInside Tenzro's Consensus: DAG-Based BFT for a Network of Machines
How Tenzro orders transactions with a DAG protocol, makes finality portable with hardware-signed checkpoint certificates, hands over between committees at epoch boundaries, and checks the code against a formal model step by step.
6 min read
Model routingBuild, rent or network? Sourcing AI inference in 2026
CTOs now have three ways to source AI inference: build on their own hardware, rent from a cloud or model API, or buy from an open network of independent providers. This guide compares them on the criteria that decide the outcome: demand shape, model choice, jurisdiction, verification and exit.
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
Financial servicesAI in Financial Services: Records an Examiner Can Verify
Banks, insurers and asset managers are moving AI into credit, claims, compliance and operations. Supervisors in the EU, UK, US and Singapore expect model inventories, third-party oversight and records. What a verifiable inference record should contain, and how to keep it.
4 min read
HealthcareAI in Healthcare: When the Data Cannot Move, Move the Model
Clinical and research data is among the most regulated anywhere. Three patterns that bring AI to health data without moving it (local serving, confidential computing and federated training) and the evidence each one should produce.
4 min read
ManufacturingAI on the Factory Floor: Edge Inference and Machine Identity
Factories need AI that keeps running when the internet does not, on machines that can prove what they are. How to place inference on the shop floor, anchor every device in hardware, and meet the security regimes now arriving for industrial products.
4 min read
ConsensusBreaking Our Own Network: Chaos Testing a BFT Consensus
How we partition, restart and skew a private Tenzro network on purpose, what we check while it happens, and the class of catch-up bug that taught us to measure progress by what a node actually executed.
6 min read
Confidential computingConfidential Computing for Regulated AI: What Attestation Proves
TEE sessions and remote attestation let a regulated workload run on someone else's hardware with evidence of what code ran. What a report actually proves, what it cannot, and how Tenzro verifies, binds and routes confidential work.
5 min read
Data residencyData residency by design: pinning AI work to a jurisdiction
Residency rules for AI are moving from contract clauses into the request path. This article explains how to make jurisdiction a routing constraint that fails closed, what evidence a signed record of locality can and cannot give you, and how the rules differ across the EU, UK, MENA and APAC.
6 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
SimulationSimulation and Digital Twins at Scale, Across Many Machines
Digital twins and robot-learning pipelines run thousands of simulations. Most of that work splits cleanly across many machines. How to decompose it, where it should run, and how to trust results computed on hardware you do not own.
4 min read
Generative mediaGenerative Media Pipelines: Right Hardware, Pay Per Result
Image, video and audio generation have cost profiles unlike chat. How to route each job to hardware that fits it, meter it in units that match the work, check licence territory and mark outputs for provenance.
5 min read
Hardware identityHardware-Rooted Identity for Machines: TPMs, Enclaves and Passkeys
A key file can be copied, and a copied key is a second machine nobody knows about. Why Tenzro derives every machine and person's identity from keys that never leave hardware, and how that works on servers, laptops and boards without a TPM.
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
Model routingModel Ladders: Answer With Small Models, Escalate Only When Needed
Most requests do not need the largest model. What the research on cascades and routing actually shows, where it falls short, and how Tenzro routes by measured difficulty and closes the loop on escalation.
5 min read
NetworkingMulti-region AI: latency, jurisdiction and failover
Running AI across the EU, US and APAC forces trade-offs between distance, law and resilience. This article uses measured inter-region latencies to show what each region pair costs, how jurisdiction rules constrain failover, and how to design inference that stays fast, lawful and available when a provider fails.
5 min read
SecurityPreparing AI Infrastructure for Post-Quantum Cryptography
NIST's ML-KEM, ML-DSA and SLH-DSA standards are final, the IETF has standardised hybrid key exchange for TLS, and the US and EU have set dates. A practical migration plan for AI infrastructure, and how Tenzro applies hybrid post-quantum keys today.
5 min read
Public sectorPublic Sector AI: Buying Capability Without Buying Lock-In
Governments in the US, UK and EU now tell agencies to avoid AI vendor lock-in, protect government data from commercial training and assess impacts before deployment. A procurement checklist that turns those policies into contract terms and architecture.
4 min read
RetrievalRetrieval at the Source: Embeddings and Search Near the Data
Retrieval pipelines copy an organisation's documents into embeddings, indexes and caches, often far from where the data lives. Why embeddings are sensitive data, how to size them, and an architecture that keeps retrieval close to the source.
4 min read
Model routingRouting Across Many Providers, and Why Receipts Must Be Verifiable
A model router chooses on price, latency and standing, hedges the slow tail and fails over in seconds. None of that is trustworthy unless each answer comes with a receipt a third party can check. How Tenzro does both.
5 min read
Enterprise AITotal Cost of AI Ownership: What Inference Really Costs
Token prices are the visible part of an AI bill. A cost model for enterprise inference that includes the harness around the model, utilisation risk and supplier lock-in, and seven levers that reduce it.
5 min read
Machine economySix upgrades to Tenzro Network
Tenzro Network starts again from a fresh genesis with six upgrades: post-quantum DAG consensus, keys held in hardware, trust and provenance, metered settlement, inference for any model and an RPC that is closed by default.
5 min read