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 billing reconciliation, compliance review, 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-sonnet-4-5 · tokens:980 · cost:$0.006 · 200 OK
OK
Production Ready

Built for
production workloads

Deploy, scale, and operate AI applications with a unified platform designed for reliability, observability, flexible deployment, and access to the latest AI models.

Unified AI Gateway
Connect to leading AI providers through a single, consistent API without changing your application architecture.
Latest Frontier Models
Access the newest language, vision, and multimodal models from leading AI providers as they become available.
Intelligent Model Routing
Automatically route requests to the most suitable model based on performance, latency, quality, or cost.
Usage & Cost Analytics
Monitor requests, token consumption, latency, and spending with centralized analytics and reporting.
Flexible Deployment
Deploy in the cloud, private infrastructure, or hybrid environments based on your organization's requirements.
Developer Experience
Build faster using consistent APIs, SDKs, documentation, playgrounds, and integration tools designed for production teams.

Take control of your AI usage.

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