Better models made agents possible.Control systems make them scale.
Taiso is the Agent Control Platform — it enforces your policy, verifies every action against evidence, escalates uncertainty to a human, and records every verdict on a defensible ledger. Before anything ships.
Your AI pilot is
patched together.
MIT found 95% of enterprise AI pilots fail — not because the models are weak, but because the foundation is. Agent frameworks were built to run agents, not control them. Control was never in the design, so every guardrail, eval, and spot-check since is a patch on top — and nothing in that stack systematically checks every item before it counts. (MIT NANDA, 2025)
Every layer above is a patch on a foundation never built for control. Nothing stops a wrong item before it counts — so people re-check everything, and the ROI disappears.
- ✓Every claim verified against its sourceStructured Blocks
- ✓Your procedure enforced, not suggestedSOPs
- ✓Runs end to end — every step a controlAgents
- ✓Can't confirm it? A person decidesReview queue
- ✓Every relevant document, findableProjects & Files
- ✓All items and corrections recordedLedger · Chat storage
Control can't be bolted on afterward. It has to be the foundation.
You can't scale AI you can't control.
Taiso is built from the ground up to control it.
The Taiso Agent Control Platform is the only platform built from the ground up as the control system: every step of your operation a control, every claim checked against its source, the few the machine can't confirm routed to a person, every item on a ledger your auditor accepts. Every item systematically checked, not a sample — for the review hours you spend today.
Everything you didn't look at, you still answer for.
Same review hours. Every item systematically checked. The verification tax is gone: the machine checks everything, people see only what it couldn't confirm.
Start with Taiso Verify — one verified call, one base-URL change. Scale to the Taiso Agent Control Platform — your whole operation, verified.
Watch every item get checked.
Not a sample.
A two-and-a-half-minute walkthrough of one hundred items moving through the Taiso Agent Control Platform — two voices, one step at a time.
Everything you didn't look at, you still answer for.
No one re-checks by hand.
The record your auditor accepts.
Catch an error late and
you've paid for every token after it.
Taiso Verify checks every action before it runs. One config change puts an independent check in front of your agent: every response and tool call is verified before it executes — allowed, held for a human, or blocked. Guardrails filter words and evals watch after the fact; only a gate stops the action before it runs. Start in shadow mode — it blocks nothing and shows you what it would have caught, on your own traffic.
- base_url = "https://api.openai.com/v1"
+ base_url = "https://api.taiso.ai/v1"
Five checks
on every call.
Five checks, one verdict — ALLOW — before the action runs and before the next step spends anything.
Catch it at step one,
not forty steps of tokens later.
$0.017 catches it at step one. The other side of the ledger is every run you'd have burned — and shadow mode computes that number for you, on your own traffic.
Measured on our own extraction workloads — not list price. Shadow mode shows your rate by day 3.
Before it runs.
Not after.
Stop hoping.
Start proving.
Swap the base URL and run Taiso Verify in shadow mode — it blocks nothing, and by day 3 you see what it would have caught and what those runs cost you. Ready for the whole operation? Run one closed workflow on the Taiso Agent Control Platform — by day 14, your first ledger and the list of what your sample audit missed.