Visibility
See every agent, every decision, every output in real time. No black boxes. Filter by team, agent, risk level, or rule verdict.
Private beta, Q2 2026
Your AI agents shouldn't get
autonomy they haven't
earned.
Promitas routes every agent action through a human on day one. Patterns earn auto-approve only after they've proven safe, rule by rule. Visibility, control, and an audit trail built for the teams that have to answer for the outcome.
Prefer a chat? Book a 20-minute intro call
The problem
Organisations are deploying AI agents without the oversight they expect from human teams. Agents send emails, move money, touch customer data. When something goes wrong, there is no rule, no reviewer, and no record.
The answer is not to freeze adoption. The answer is to put the same controls around AI work that you put around every other critical process: policy, approval, and a paper trail.
Why now
The agent stack matured. Governance didn't.
In the last six months, every major model provider shipped agent infrastructure. The deployment primitives are here. The oversight primitives are not. Promitas closes that gap.
-
Oct 2025
AWS ships Bedrock AgentCore with long-running agent runtime.
-
Dec 2025
OpenAI launches the Responses API, built for multi-step agents.
-
Jan 2026
Anthropic releases Managed Agents with first-class tool use.
-
Now
A team can deploy an autonomous agent in a weekend. The controls needed to run them safely have not caught up.
The loop
Progressive autonomy, not blind trust.
Most AI tooling forces a binary choice: fully autonomous or fully manual. Promitas treats autonomy as a spectrum that earns its way up, one verified rule at a time.
- 01
Deploy
Connect your existing agents or spin up new ones. Works with Bedrock, OpenAI, and Anthropic out of the box. Swap models without rewriting a rule.
- 02
Govern
Define rules. Start strict: route every outbound email to review, block transfers over a threshold, require approval on new vendors or customers.
- 03
Review
A human resolves each flag in a per-agent chat. Every intervention is logged with the reviewer, the rationale, and the outcome.
- 04
Grant autonomy
Once a pattern has a clean review history, promote it from review to auto-approve for that scope. Autonomy is a dial, not a switch.
What's different
Not another observability tool.
Observability tells you what your agents did. Promitas decides what they're allowed to do, and earns them more autonomy as they prove safe.
- ▾ finance-01 (3 sub-agents) ok
- ├─ invoice-drafter ok · 00:00:03
- ├─ vendor-verifier ok · 00:00:11
- └─ payment-processor review
- ▾ legal-02 (2 sub-agents) idle
- ├─ contract-reader ok · 00:02:41
- └─ clause-suggester ok · 00:02:41
Sub-agent dashboard. Every spawn, tool call, and verdict in one tree.
The payment to Acme Consulting for
£12,500 aligns with the retainer in contract and matches purchase order .
source [1] contract_A442.pdf page 3, § 2.1 "retainer schedule" "Quarterly retainer invoices of £12,500 due on the first working day of each quarter."
Hover citations. No invented references. Every number traced back to its source.
- 01
Hover-to-source citations
Every claim an agent makes is anchored to the document, page, and paragraph it came from. Hover to verify.
- 02
Sub-agent visibility
Every sub-agent spawn, tool call, and hand-off rendered as a live tree. See the whole run at a glance, no sifting through log files.
- 03
LLM-as-judge oversight
A second, colder model scores every risky action before it ships. If it disagrees, a human reviews.
- 04
Confidence-threshold routing
Set the dial per rule. Below your threshold, route to a human. Above it, auto-approve with a trace.
- 05
Model-agnostic
Works with Bedrock, OpenAI, and Anthropic out of the box. Swap models without rewriting a single rule.
The pillars
Three guarantees for any agent you deploy.
Control
A configurable rules engine decides what routes to a human and what is allowed to run unattended. Scope rules by organisation, team, or a single agent.
Audit
Immutable trail of actions, rule verdicts, approvals, and human interventions. Export for compliance, regulators, or a board review.
For whom
Built for teams where a mistake has a cost.
Financial services
Every agent action logged against policy. Block what must be blocked, flag what should be reviewed, grant autonomy where the record says it is safe.
- SOC 2 ready
- Threshold rules
- Four-eyes approval
Legal and compliance
Prove an AI decision after the fact. Export the rule trace, the agent input, the verdict, the reviewer, and the final action as a single record.
- Immutable audit
- Exportable traces
- Rationale capture
Operations and revops
Let agents draft invoices, reconcile data, and handle inbox triage. Keep the human in the loop only where risk or novelty demands it.
- Per-agent chat
- Escalations inbox
- Team-scoped policies
Compliance by design
Built for regulated environments.
Promitas maps to the control families that regulators and auditors already know. Every agent decision is paired with a rule trace, a reviewer, and an immutable record. Exports are regulator-ready, not a forensic project after the fact.
The EU AI Act treats many agentic systems as high-risk. ISO 42001 sets the management system standard for responsible AI deployment. Promitas gives you the governance, logging, and human-oversight posture both frameworks expect, on day one.
- Aligned by design
EU AI Act
High-risk system controls
- Built in
GDPR
Lawful basis, DPA, minimisation
- On the roadmap
ISO 42001
AI management system
- In preparation
SOC 2 Type II
Security, availability, confidentiality
- On the roadmap
ISO 27001
Information security management
- Region
- EU data residency
- DPA
- Sub-process register
- Encryption
- AES-256 at rest
- SSO
- SSO + SCIM ready
- Audit
- Immutable audit log
Request access
Early access is curated.
We are working closely with a small cohort of design partners through Q2 2026. If you run an AI programme that matters to your business, we want to hear about it.