AI autonomy is probabilistic
Enterprise operations need explicit routing, ownership, and review before high-impact actions run.
Governance infrastructure for autonomous AI operations
Run AI teams under control.
AI teams execute work, but every mission stays reviewable, governed, and accountable.
Built for CTOs, security leaders, risk teams, and platform engineers running regulated AI operations.
Every governed mission leaves a reusable decision record linked to evidence, policy, and outcome.
Built for regulated AI operations.
Mission→AI Team→Policy Gates→Execution→Evidence
CTOHead of RiskSecurity Operations LeadCompliance DirectorPlatform Engineering Lead
Why enterprises need a control layer
Models generate probabilities. Enterprise operations require explicit routing, accountable ownership, and evidence that survives review.
Regulated workflows need evidence
Leaders need decisions that survive internal review, external audit, and operational escalation.
KRYFOR governs execution
Mission graphs, policy gates, and evidence logs turn autonomous runs into controlled operating systems.
Architecture of controlled autonomy
KRYFOR sits between autonomous execution and enterprise operations, turning agent activity into reviewable operating systems.
Layer 1
Agents
Layer 2
Mission graph
Layer 3
Governance layer
Layer 4
Policy gates
Layer 5
Execution systems
Layer 6
Evidence log
Proof of governed execution
Runtime V3 shows the control layer in motion: mission posture, route ownership, policy-gated execution, and exportable evidence.
KRYFOR does not stop at execution logs. Each governed mission produces a structured decision record that can be reviewed, compared, and reused in later runs.
STEP 1
Governance proof
Set deterministic control before execution
Runtime V3 exposes authority, escalation, and mission posture before the first tool call starts.
STEP 2
Route ownership proof
Show who owns each mission path
The mission topology makes routing, dependencies, and intervention points legible to operators and reviewers.
STEP 3
Execution proof
Run controlled skills under policy
Web, browser, coding, and memory lanes execute with plain-language transcript output instead of opaque agent chatter.
STEP 4
Evidence proof
Finish with an audit-grade record
Every run closes with client-readable output, decision checkpoints, and evidence artifacts that can be exported or reviewed.
Where KRYFOR lands first
The first wedge is regulated operations where AI autonomy becomes valuable only when control, evidence, and accountability are explicit.
Security Operations Lead
Security operations
Without KRYFOR: Alert overload and inconsistent escalation leave teams reacting too late.
With KRYFOR: KRYFOR routes triage, approvals, and evidence so response stays controlled under pressure.
Head of Risk
Financial decisioning
Without KRYFOR: Autonomous trading or risk actions can drift outside explicit policy and exposure limits.
With KRYFOR: KRYFOR enforces review gates, risk thresholds, and accountable decision ownership before execution.
Compliance Director
Compliance operations
Without KRYFOR: Recurring regulatory workflows break when evidence, sign-off, and policy logic are fragmented.
With KRYFOR: KRYFOR standardizes routing, evidence capture, and approval control for auditable closure.
Platform Engineering Lead
Governed software delivery
Without KRYFOR: AI coding output becomes dangerous when release actions skip review, policy checks, or rollback logic.
With KRYFOR: KRYFOR turns coding missions into controlled delivery paths with deterministic release gates.
What enterprises actually buy
A governance layer that makes autonomous AI usable in regulated operations with deterministic routing, policy control, and audit-grade evidence.
Deterministic routing
Decision paths stay explicit across agent runs, escalation points, and executive ownership.
Policy-gated execution
High-impact actions are bound by review logic before they touch production systems or customer operations.
Audit-grade evidence
Each mission ends with attributable decisions, evidence artifacts, and export-ready operating records.
Decision memory
Store policy-linked mission history as reusable decision records, not just raw logs.
How governed missions run
The control layer stays abstract only until a mission starts. Then the path becomes explicit.
Trading oversight
1. Signal arrives
2. AI drafts action
3. Risk policy checks limits
4. Auditor approves
5. Execution records evidence
Security incident response
1. Alert arrives
2. AI triages scope
3. Policy gates high-impact response
4. Lead approves path
5. Evidence closes incident
Governed software delivery
1. Request arrives
2. Architect plans change
3. Forge writes code
4. Sentinel checks release
5. Auditor approves outcome
Compliance case handling
1. Case opens
2. AI assembles record
3. Policy checks required proof
4. Reviewer signs off
5. Closure exports evidence
Pricing with explicit operational scope
Select by deployment depth and governance requirements, not generic feature lists.
Community
$0
For internal validation and early proof of governed missions.
- • 3 projects
- • 3 agents
- • Core governance
Professional
$79 / month
For teams running governed AI operations in production.
- • Unlimited projects
- • 15 agents + API access
- • Yearly $790 (save $158, 17%)
- • Evolution add-on +$100
Enterprise
From $499 / month
For regulated environments, private rollout, and organization-scale control.
- • Unlimited agents and seats
- • Custom security workflows
- • Yearly $4990 (save $998, 17%)
- • Activation via Contact Sales
Clear operating metrics by tier
Buyers can map scope to mission volume, audit retention, and integration depth before procurement.
Community
Scope KRYFOR for early governed trials and runtime validation.
- Runs / Missions
- Up to 50 missions / month
- Audit Retention
- 30-day audit trail
- Integrations
- Runtime API + webhook export
Professional
Best fit for teams moving from proof to governed production operations.
- Runs / Missions
- Up to 2,000 missions / month
- Audit Retention
- 90-day audit trail
- Integrations
- API + marketplace packs + ticketed support
Enterprise
Built for regulated environments with policy-specific controls and private rollout.
- Runs / Missions
- Custom mission throughput
- Audit Retention
- 365-day retention and policy-specific windows
- Integrations
- SSO, SIEM, private network controls
Governance and compliance add-ons
Extend runtime value with modular controls that directly improve evidence quality, risk routing, and regulated delivery.
Control templates
Governance Pack
Policy topology templates, approval matrices, and risk-routing presets by operating model.
Evidence retention
Evidence Retention Add-on
Extended decision and audit retention with export-ready evidence bundles.
Regulatory workflows
Compliance Pack
Regulatory reporting views, compliance-ready policy profiles, and review workflows.
Identity and network
Security Pack
Enterprise SSO/SIEM connectors, identity controls, and hardened access boundaries.
Deployment breadth
Once the core governance model is clear, KRYFOR expands across mission types and sectors.
- Trading desks and risk lanes
- Security, OSINT, and response cells
- Coding, release, and platform workflows
- Compliance, supply, and operations control
Execution gives you output. Decision memory gives you continuity.
Secondary path
Need a sales-ready demo this week?
Run one governed mission in Runtime V3, show controlled evidence, then route the buyer into setup or enterprise review.
