Governance

AI spend, policies,
and compliance — owned.

Set budgets per team. Enforce policy rules across every model call. Redact PII before it leaves your perimeter. Maintain a tamper-proof audit trail — automatically.

Org Budget Dashboard June 2025
Team
Utilization
%
Spent / Limit
Status
Engineering
84%
$840 / $1,000
WARNING
Product
64%
$320 / $500
OK
Research
42%
$210 / $500
OK
Sales AI
48%
$96 / $200
OK
$1,466 total spent
$2,200 org limit
7 active policies
0 violations
Spend Control

Set monthly limits per team,
project, or environment.

Define spend ceilings for every team in your org. Get Slack alerts at 80%. Automatically hard-stop or route to a cheaper fallback model when the limit is hit — no more end-of-month surprises.

  • Per-team, per-project, or per-environment budgets
  • Configurable alert thresholds (50%, 80%, 95%)
  • At-limit action: hard-stop, fallback, or require approval
budget-config.yaml
Engineering team
monthly_limit: $1,000
alert_at: [50%, 80%, 95%]
at_limit: route_to: gpt-4o-mini

Product team
monthly_limit: $500
alert_at: [80%]
at_limit: block_requests: true
Engineering team at 84% — alert sent to #eng-leads 4 minutes ago
Policy Engine

Governance rules that apply
across every AI call.

Write conditions once. Explane evaluates them on every request — blocking model tiers, requiring approvals for expensive calls, enforcing content filters, or restricting what data reaches external providers.

  • Block GPT-4 tier for free-plan users automatically
  • Require team-lead approval for requests over $0.05
  • Content-based routing: keep sensitive prompts on-prem
policy-rules 7 active
01
if request.cost > $0.05
require_approval(team_lead)
ACTIVE 34 triggers
02
if user.tier == "free"
max_model: gpt-4o-mini
ACTIVE 1,248 triggers
03
if content.contains(PII)
redact_before_send()
ACTIVE 892 triggers
04
if team.env == "production"
require_model: approved_list
ACTIVE 2,104 triggers
Data Privacy

Sensitive data never reaches
an AI provider raw.

Explane detects and redacts PII — names, emails, SSNs, card numbers — before any request leaves your perimeter. Replacement tokens are restored transparently in the response. Zero data exposure risk.

  • Detects 15+ PII entity types automatically
  • Reversible tokenization — responses are restored before delivery
  • Custom redaction patterns via regex or ML classifiers
pii-redaction · live 3 ENTITIES DETECTED
Raw input (your app)
Schedule a call with John Smith at john@acme.io. His card ending in 4242 was declined.
Sent to provider
Schedule a call with [NAME_1] at [EMAIL_1]. His card ending in [CARD_1] was declined.
Entities detected & masked
PERSON · John Smith EMAIL · john@acme.io CREDIT_CARD · 4242 PHONE SSN IP_ADDR + 9 more
Compliance

A complete, tamper-proof record
of every AI interaction.

Every request is logged: who made it, when, what model was used, what it cost, which policies triggered, and what was redacted. Export for SOC 2 audits, billing reconciliation, or forensic investigations.

  • Immutable request logs — every call, forever
  • User-level attribution with team and environment tags
  • One-click export: CSV, JSON, or direct SIEM push
audit-log · June 2025 ↓ Export
09:41
:22
m.patel@acme.co
Budget alert triggered — Engineering at 84% ($840/$1,000)
policy:budget-alert · notification sent to #eng-leads
WARN
09:14
:32
s.chen@acme.co
PII redacted and request forwarded — 3 entities masked
model:gpt-4o · tokens:2,410 · cost:$0.048 · 200 OK
OK
09:11
:08
api:ex_k9a2 · Engineering
Policy rule 02 triggered — user.tier="free", routed to gpt-4o-mini
model:gpt-4o-mini · tokens:1,830 · cost:$0.011 · 200 OK
POLICY
08:52
:44
a.khan@acme.co
Request completed — no policies triggered
model:claude-3.5-sonnet · tokens:980 · cost:$0.006 · 200 OK
OK
Certified & Compliant
🔒SOC 2 TYPE II
🇪🇺GDPR
🏥HIPAA
🛡️CCPA
🔐ISO 27001

Take control of your AI usage.

Governance, budgets, and compliance in one place. No extra infrastructure required.