Try Kodus.Ai
Solution

Operate where audits happen

Treat Kodus outputs like any other toolchain: DPIA-reviewed, routed, reversible.

Try Kodus.Ai See it in action
  • Policy-aware routing: Prefer local or restricted models where data classification demands it - pair with explicit classes from routing & cost.
  • Human approvers: Every write that touches regulated data retains named reviewers plus evidence in VCS - not chat logs.
  • Gates before merge: Linting, IaC/policy scans, SBOM deltas: keep them on and treat AI output as guilty until scanned clean.
solutions-regulated-overview.md - operating view
ScopePolicy-aware routing
GuardHuman approvers
ShipGates before merge
ReviewDurable auditing
Solution

Operate Kodus beside your control library

Treat generations like any other toolchain: route them through scanners, keep human approvers on consequential paths, snapshot what model and policy class produced the diff, and make rollbacks one click away.

  • Policy-aware routing: Prefer local or restricted models where data classification demands it - pair with explicit classes from routing & cost.
  • Human approvers: Every write that touches regulated data retains named reviewers plus evidence in VCS - not chat logs.
  • Gates before merge: Linting, IaC/policy scans, SBOM deltas: keep them on and treat AI output as guilty until scanned clean.
  • Durable auditing: Persist prompts and versions when your program requires reproducibility - not just screenshots.
  • Clear ownership, reviewer gates, and measurable pilot metrics before widening scope.
Try Kodus.Ai View pricing
Active focus: Solution
Scope
Risk
Output
solutions-regulated-overview.md
Capturing...
// Focus:
Operate Kodus beside your control library
1) Scope the dossier: Data classes, egress rules, approvals - document them before widening model access.
2) Mirror prod constraints: Route through the same SSO, KMS, VPC paths you expect under audit pressure.
3) Rehearse failure: Partial outages, key rotation, model downtime - pager owner named and tested.
4) Expand slowly: Add workflows only while incident volume and exemptions stay boring.
1Scope
2Guard
3Ship
4Review
5Review

What Solution stakeholders get operationally

Policy-aware routing

Prefer local or restricted models where data classification demands it - pair with explicit classes from routing & cost.

Prefer local or restricted models where…Evidence

Human approvers

Every write that touches regulated data retains named reviewers plus evidence in VCS - not chat logs.

Every write that touches regulated data…Evidence

Gates before merge

Linting, IaC/policy scans, SBOM deltas: keep them on and treat AI output as guilty until scanned clean.

Linting, IaC/policy scans, SBOM deltas:…Evidence

High-signal placements

Solution rollout focus

Treat generations like any other toolchain: route them through scanners, keep human approvers on consequential paths, snapshot what model and policy class produced the diff, and make rollbacks one click away.

Policy-aware routing

Operating note

Human approvers

Operating note

Gates before merge

Operating note

Durable auditing

Operating note

Pilot 5

Buyer-ready evidence
Pilot Review Evidence Scale
How it works

Treat generations like any other toolchain: route them through scanners…

Treat generations like any other toolchain: route them through scanners, keep human approvers on consequential paths, snapshot what model and policy class produced the diff, and make rollbacks one click away.

1) Scope the dossier

Data classes, egress rules, approvals - document them before widening model access.

2) Mirror prod constraints

Route through the same SSO, KMS, VPC paths you expect under audit pressure.

3) Rehearse failure

Partial outages, key rotation, model downtime - pager owner named and tested.

Try Kodus.Ai View Pricing
FAQ

FAQ

How should we pilot?

Pick one bottlenecked workflow with named reviewers, run two cadence loops, revisit metrics.

Does tooling replace approvals?

No - Kodus complements review, scanners, budgets, and your escalation paths.

How do skeptics evaluate success?

Use before/after on rework rate, reviewer time, escaped defects - not vibes.

Where should we expand next?

Only after the chartered cohort proves stable merges for a full sprint.

Pricing

Pricing

Use the same Kodus plans, tokens, and routing controls across workflows and posture.

Best to Start

Starter

For individual usage.

$20/mo
  • 10M tokens / month
  • 300 iterations / month
  • Standard model routing
  • Chat history + projects
  • Community support

Team

For small teams.

$100/mo
  • 70M tokens / month
  • 2,500 iterations / month
  • Full routing + Review + Strategy
  • Bring your own local model
  • Teams (up to 2 members)
  • Priority support
  • Audit log access

Scale

For larger organizations.

$200/mo
  • 300M tokens / month
  • 7,500 iterations / month
  • Unlimited team members
  • All models + custom routing
  • Dedicated support channel
  • Early access to beta features
  • No annual contract
  • Tokens reset monthly
  • Switch plans anytime

Have invite code? Get Access Now