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ThetaLayer

Why ThetaLayer

One plane for every agent, vendor and system of record

Your agents run on different platforms, act under different identities and write to different systems. ThetaLayer reconciles all of it into one record per agent: what it did, what it cost, and whether it was worth it.

One invoice, four partial answers
€12,450.00 · DE01
  • Agent runtimepost_invoice → success
    Can't see what the ERP actually recorded
  • ERP change logposted by SVC_AP_AGENT
    Can't see which run did it, or who asked
  • Approvalsno request on file
    Can't see that one was required
  • Model provider bill€592.56 · October
    Can't see what any of it produced
Reconciled by ThetaLayer
Posted over €10,000 without the required approval
Mandate v1 · approval threshold · run cost €3.12 · high severity
Illustrative · demo environment, simulated data

The problem

Every system holds part of the answer. None holds all of it.

Ask who did what, at what cost, with what result — and you get four partial answers from four teams. That's why most organizations still can't say what their agents are worth.

1 in 5

already limit AI use because of token and running costs

McKinsey, The state of AI in 2026

21%

have a mature governance model for autonomous agents

Deloitte, State of AI in the Enterprise 2026

  1. 01

    Agents act across systems

    One invoice run reads an email, appends a tracker row, checks the vendor in the ERP, posts the invoice and requests an approval. That's five systems, five logs and five different identifiers for one piece of work.

  2. 02

    Systems of record don't know an agent was involved

    The ERP records a posting by a technical user — or by the clerk whose delegated credentials the agent was using. It can't tell you which run made the change, or who asked for it.

  3. 03

    Runtimes don't know what actually changed

    An agent's log records what the agent believes happened. A timeout may have posted the invoice anyway; a reported success may never have landed. Nobody finds out until someone reconciles by hand.

  4. 04

    Cost bills don't map to outcomes

    Token invoices, platform credits and seat licenses arrive monthly, per vendor. None of them says what a completed invoice costs once failures, retries and sub-agents are counted.

One plane · four pillars

A mandate, a ledger and a scorecard for every agent

The same four records for every agent, whichever vendor built it and whichever systems it touches.

01 · Mandate

What each agent may do

Tools, data, amount thresholds, spend caps, autonomy level and identity rules — written down per agent and versioned.

What you get
  • A draft mandate per agent, checked against its full history
  • Approval thresholds, sensitive-field rules and spend caps
  • Autonomy levels from suggest-only to autonomous
Example

“Invoices over €10,000 need an approved request before posting.”

02 · Ledger

What each agent actually did

Every run reconstructed end to end and reconciled against your systems of record — with what it cost and what it touched.

What you get
  • Each claimed action matched to independent evidence
  • Agent, person and credential identified separately
  • Metered and allocated cost per run, sub-agents included
Example

“Agent reported a timeout; the ERP shows the invoice posted — then the retry posted it again.”

03 · Scorecard

What it produced

Cost per completed workflow, straight-through and takeover rates, evidence coverage and mandate compliance — comparable across vendors and versions.

What you get
  • One set of metric definitions for every vendor
  • Regressions tied to the version that caused them
  • Routing decisions by task type, not by vendor
Example

“€0.70 → €2.40 per completed invoice after v2.4 shipped.”

04 · Lifecycle

Roadmap

Who owns it

A named owner, an autonomy level and a quarterly review for every agent, backed by its scorecard and exception history.

What you get
  • Named owners and review dates
  • Autonomy raised or lowered on track record
  • Renew, re-scope or retire as an explicit decision
Example

“Quarterly review: renew, re-scope or retire.”

Examples are from a demo environment with simulated data.

Who it's for

Built for the people who own the outcome

Agent decisions cut across budget, operations and control. ThetaLayer gives each owner the same evidence, framed for the decision they have to make.

Chief AI Officer / Head of AI
Owns the return on AI
  • Every agent, on every platform, in one inventory with cost per outcome
  • Evidence to scale, renew or retire each agent at review
  • Build-vs-buy decisions on measured cost, not vendor claims
The question they can answer

“Which of our agents earn their cost?”

CFO and finance
Co-signs the spend and the controls
  • Agent spend allocated to teams, workflows and versions
  • Cost per completed workflow, including failures and retries
  • Approval and payment controls evidenced, not asserted
The question they can answer

“What do we pay per invoice processed — and is it rising?”

Operations and shared services
Runs the workflows agents work in
  • An exception queue with the evidence attached
  • Straight-through and takeover rates by task type
  • Each task type routed to the agent that handles it best
The question they can answer

“Where are people still cleaning up after agents?”

Risk, audit and the CISO
Signs off on control and data protection
  • The agent, person and credential behind every change
  • Mandate compliance re-checked whenever a rule changes
  • An audit trail of every human review decision
The question they can answer

“Did an agent change something it shouldn't have — and who approved it?”

How it compares

Different tools answer different questions

Vendor control planes govern agents inside their own ecosystems. Security tools protect them. APM debugs them. ThetaLayer reconciles what every agent did and cost against your systems of record — alongside all of them.

ThetaLayer compared with vendor control planes, AI security tools, observability and APM, and spreadsheets and BI
CapabilityAccountability planeThetaLayerVendor control planesAI security toolsObservability & APMSpreadsheets & BI
Works across agent vendors and runtimes
Yes
PartialInside their ecosystem
Yes
PartialInstrumented apps
PartialManual
Reconciles agent claims with systems of record
YesConfidence per link
PartialTheir own records
No
No
PartialManual sampling
Cost per completed business outcome
YesIncl. failures, sub-agents
PartialOwn consumption
No
PartialTokens per trace
PartialMonthly, manual
Mandate checks, re-run across history
Yes
PartialPolicies in-platform
PartialRuntime guardrails
No
No
Two-sided evidence for audit
Yes
PartialIn-platform logs
PartialSecurity findings
PartialTechnical traces
No
Runtime protection (prompt injection, data leakage)
No
Partial
Yes
No
No
Real-time enforcement inside the agent platform
PartialLater, at chosen tool boundaries
Yes
PartialGuardrails
No
No
Latency and error debugging
No
Partial
No
Yes
No
Core capability Partial or limited scope Not the focus

Based on the typical scope of each category; individual products vary. Most enterprises will run several of these side by side — ThetaLayer reads from them rather than replacing them.

What ThetaLayer reads from and sits alongside

Principles

How we build it

01

Neutral

We don't build agents or sell models. Every vendor is measured with the same definitions, so comparisons between them hold up.

02

Evidence over assertions

An agent's log is a claim. Every metric traces back to records in your own systems, with the link method and confidence shown.

03

Read-only first

Start by observing. Add enforcement later, only at the tool boundaries you choose, once the evidence supports it.

04

Privacy by design

Sensitive values are hashed or dropped inside your network before anything is sent. Credentials never leave it.

Book a Demo

See your agents through one plane.

Book a 30-minute walkthrough. We'll reconstruct a real workflow end to end — mandates, evidence and cost per outcome — and scope a six-week, read-only pilot around your agents.