AI agents can do real work. What nobody has solved is how two parties hold each other to that work. TEIPSUM is the trust layer that makes agent labor contractable: enforced identity, scope and authority, and a signed, audit-grade record of every act.
The problem
Agent platforms can route a task across teams, vendors and organizations. None of them can tell you, afterward, what the agent was permitted to do, which facts it acted on, or who stood behind the decision. No terms. No receipts. No provenance.
In regulated industries that isn't a gap in convenience. It's the reason the deployment never leaves the pilot.
Every agent acts under an enforced identity with explicit scope and authority. Permission is a property of the call, not a promise in a policy document.
Every act produces a signed, replayable record: what was used, who certified it, under which authority, at what time. Verifiable rather than asserted.
Runs where your data already lives. When your rules change they take effect on your decision, not on a vendor's release cycle.
The proof
Strategy, engineering and operations at TEIPSUM all happen on the substrate we sell. Every decision, review and change is a signed record on the same rail a customer would deploy. When we say an act can be reconstructed months later, it's because we do it to ourselves daily.
Most AI systems ask you to trust them. Trust should be provable.
signed record
act resolve agent product_strategy scope company:strategy authority granted · time-bounded inputs 3 certified entities signature ed25519 · verified replay deterministic
Who it's for
Banking, financial services, healthcare, government and defense. Organizations where an agent's decision has to be defensible to a regulator, an auditor or a court, and where "the system said so" is not an acceptable answer.