About Exogram

Founded by Richard Ewing

AI Economist

Richard Ewing is an independent AI Economist who audits engineering spend and exposes the capital risks that metrics don't show. Published in Foundry and Built In, Richard has identified millions in misallocated R&D spend across Series C platforms and B2B SaaS companies.

I built Exogram after hitting the same failure repeatedly across modern AI systems: LLMs can generate impressive outputs, but they still lack reliable verification, execution boundaries, and operational accountability.

Most companies are trying to scale autonomous agents on top of probabilistic systems without governance infrastructure.

The goal is not “more AI.” The goal is deployable AI systems that enterprises can actually trust, audit, and control.

Design Principles

Deterministic > Probabilistic

Governance must produce the same result given the same inputs. No randomness in enforcement.

Cryptographic > Contractual

Trust is verified through hash chains and audit trails, not legal agreements or model promises.

Model-Agnostic > Vendor-Locked

Every model is a client. No model is privileged. Governance works the same across all of them.

User-Controlled > Platform-Owned

Your facts, your constraints, your audit trail. Exportable anytime. Deletable anytime. No lock-in.

Infrastructure > Application

Exogram is a layer, not a product. It makes other tools better. It doesn't replace them.

The 4-Layer Control Plane

Exogram introduces a four-layer control plane for enterprise AI, built to govern what agents are allowed to do before they do it.

1. Ledger

Immutable memory and traceability. Reduction of probabilistic variance and drift.

2. Context

Structured retrieval and inference refinement. Meaning and context generation.

3. Control

Runtime policy enforcement and execution boundaries.

4. Judgement

Verification before execution. The final trust layer.

We’re especially interested in feedback from:

  • AI infrastructure engineers
  • Enterprise architects
  • Agent framework developers
  • Governance / risk teams
Models produce probability. Exogram enforces reality.