Your agents scale. Your judgment doesn't — and you can't prove it exists.
Every time your experts correct an agent, hard-won judgment passes through your systems. Medjai captures that override at the source, turns it into a human-validated rule with authority and provenance, and publishes it to every agent you run. The correction happens once. The record stands forever.
Built for regulated operations running decision agents — on Copilot, Agentforce, or your own stack.
Your agents scale. Your judgment doesn't.
Somewhere in your company today, a senior expert just corrected an agent — for the third time this month. Same correction. Same reason. That override was the most valuable piece of data your company produced today. And it just vanished.
Your scarcest resource, spent on repeats
Every edge case waits for the one person who knows the policy — who then spends her time re-making calls she's already made. The judgment is excellent. The system wastes it.
The same override, every week
The agent never learns. It re-proposes the 15% discount your RevOps lead capped at 8% last week — and the week before.
Expertise walks out the door
When a fifteen-year underwriter leaves, the judgment in their head leaves with them. Nothing in your stack ever captured it.
Oversight you can't demonstrate
When the regulator, the auditor, or the board asks "who decided this, under what authority?" — there is no answer. Human oversight happened, but nothing in your stack can prove it.
The bottleneck isn't the agent. It's that human judgment doesn't compound — and can't be audited.
What changes once it's running.
Not capabilities on a feature list — outcomes your operations and AI teams feel in the first deployments.
The same exception stops coming back
Once an override becomes a rule, the agent stops re-surfacing it. Your team's corrections accumulate into the corpus instead of repeating every week.
New agents start with years of judgment
Every new agent inherits the corpus on day one — the decisions your company already made, applied from its very first call. Scale agents without re-teaching them. And so does your next senior hire — the corpus is living doctrine, not tribal knowledge.
Oversight you can prove
Every decision traces back to a rule — who set it, when, and the authority behind it. When an auditor or regulator asks, the evidence is already written: decision by decision, version by version.
Expertise that stays when people leave
The judgment a senior reviewer encodes lives in the corpus, not in their head. When they move on, the institutional memory keeps working.
Capture. Validate. Publish.
Medjai sits below your agents — it doesn't replace them. Wrap each agent once, and the loop runs on its own.
Your agents self-report every override through the Medjai SDK and MCP — no log-scraping, no guessing what counts as a correction. The data is born clean: decision, correction, author, context.
Medjai clusters the overrides and drafts candidate rules. Nothing ships without a human: every rule is reviewed and validated by your own experts before publication. Oversight lives at the rule level — which is what makes it both scalable and demonstrable.
Versioned rules are delivered to every subscribed agent, which adjusts its behavior. Adherence isn't assumed — it's measured by the loop itself: if a rule isn't followed, the override comes back. Your compliance metric is the repeat-override rate, and you watch it fall.
That is what makes it memory, not a document someone has to remember to read. And evidence, not a policy someone claims was followed.
Agent platforms own execution. Permission layers own what an agent may do. Medjai owns what it should decide — and proves it.
Independent of any agent stack
Your rules are published to every agent, on every platform — and survive when you switch vendors. A record of decisions kept by the party executing them is worth less to an auditor than one kept independently.
Versioned like code
Every rule has an author, an authority, a history. Judgment gets the same rigor your source code gets.
Two consumers, one corpus
Agents consume rules at the decision. Humans consume them as living doctrine — how your next senior underwriter learns why the rule exists.
Permissions say what an agent may do. Judgment says what it should decide.
We're not your agent and not your orchestrator. Medjai is the layer below — the corpus your agent calls at decision time, plus the API that captures every override. You keep your existing stack and wrap each agent once.
Copilot Studio & Microsoft agent builder
Native MCP support means Medjai's tools plug into Copilot Studio agents directly — and our capture layer connects to Microsoft's agent builder in one click. The fastest place to start: Copilot surfaces generate the highest override volume we see.
Agentforce
Medjai connects to Agentforce via MCP — revenue decisions like discount authority are where overrides are densest.
MCP server (universal)
Any MCP-compatible agent host wires up Medjai's tools natively. Zero framework lock-in.
Custom stacks
Drop-in wrappers for LangGraph and the OpenAI Agents SDK — about fifty lines to instrument an existing agent. Plus a lightweight reference runtime for proofs of concept.
Works wherever the loop can close. Fully closed, non-extensible agents aren't a fit — and we'll tell you so.
Start with the Override Audit.
You don't deploy Medjai on faith. You start with an audit.
Connect (read-only) → We analyze your agents' decisions and your experts' overrides → Readout: three numbers, computed from your own data.
Your exposure
Decisions with no producible oversight evidence.
Your waste
Senior hours lost to repeated corrections.
Your delta
What human-validated rules would return, at expert-verified precision.
One thing can't wait: evidence can't be backdated. Every decision your agents make before capture starts is permanently unprovable — the audit tells you what that's already costing you.
The readout is board-ready by design — the same corpus that answers your examiner answers your exec review. The audit fee credits in full against year one.
For decision-intensive work where overrides are dense.
We start where oversight is mandated — insurance and financial-services decisions with real consequences — and expand wherever your agents need to decide the way your company decides.
Documentation waits to be read.
Memory fires at the decision.
| Markdown & wikis | Search & KB | Fine-tuning | Agent-platform memory | Medjai | |
|---|---|---|---|---|---|
| Captured from real overrides | — | — | ~ | ~ | ✓ |
| Versioned, with provenance | ~ | — | — | — | ✓ |
| Applied by agents, verified by the loop | — | — | ~ | ~ | ✓ |
| Auditable by a third party | — | — | — | — | ✓ |
| Portable across agent stacks | ✓ | ✓ | — | — | ✓ |
| Compounds over time | — | — | — | ~ | ✓ |
Built from your real decisions, the corpus can't be copied — and leaving means rebuilding from zero.
Memory features remember facts. Permission layers prevent bad actions. Only Medjai captures the judgment itself — from real overrides, with authority.
For teams where consistency is mandated.
Medjai sits beneath agents that make decisions with real consequences. Ownership and isolation are built into how it works — not bolted on afterward.
The corpus is yours
The institutional memory you build is owned by your company, not Medjai — exportable, documented, yours to keep, with no lock-in. It is never used to train third-party models.
Secure by architecture
Per-tenant isolation, authenticated access, and decision-level traceability are built into the core — so every rule is attributable and every run is reviewable.
SOC 2 in progressBuilt for the mandate
Regulators and auditors increasingly expect demonstrable human oversight of automated decisions. Medjai's corpus is audit-ready evidence by construction: every rule versioned, every decision cited, every authority named. We produce evidence, not opinions — your auditors' work gets cheaper, not replaced. Every quarter, the same data produces two documents: the evidence pack your examiner expects, and the report your leadership actually reads — decisions governed, oversight engaged, hours recovered.
See it run on your own workflow.
A 30-minute walkthrough of the override-to-rule loop, mapped to one of your decision domains — and if it fits, we scope your Override Audit on the call. No slides — the working product.
Prefer email? sales@medj.ai