Vision
A future where every AI decision is trusted, measurable, secure, compliant, accountable and financially disciplined.
AI Governance & Intelligence
Your AI spend is growing. Now govern every token.
Adoption, cost, compliance and business impact across every model your teams use — in one secure, unified view.
Works with the AI providers your teams already use
OpenAIAnthropicAzure OpenAI
GoogleAWS BedrockMistral AI
Meta LlamaCohere
Token & spend telemetry
All providers · last 30 days Tokens today
4.71M
+6.2% vs yesterday
Spend today
$1,713
tracking to budget
Optimized
$1,284
saved by routing
Policy
Enforced
0 requests capped
Spend per hour · budget ceiling shown
Illustrative preview — sample data
Introduction
One platform to monitor, govern,
One platform to monitor, govern,
optimize and secure enterprise AI.
Qwam AI is an enterprise AI Governance and Intelligence platform that enables organizations to monitor, govern, optimize and secure AI usage across leading AI models. Through a single, unified dashboard it provides real-time visibility into AI adoption, token consumption, spend, compliance and business impact.
Mission
To give organizations the visibility and control tools they need to turn AI token spend from a black box into a managed, optimized budget line.
Monitor Every Token. Measure Every Model. Maximize Every AI Investment.
Capabilities
Operational control over adoption,
Operational control over adoption,
cost and compliance.
Connect your providers, attribute every dollar, enforce budgets at request time and export finance-ready evidence — from one place.
AI usage & token monitoring
Every request, model and token counted across providers, in one live view.
Spend & cost allocation
Attribute every dollar to a team, product, environment or cost centre.
Budget & policy controls
Limits per team or model, enforced as requests happen rather than after the fact.
Compliance & security
Role-based access, audit trails and guardrails that satisfy regional requirements.
AI ROI & analytics
Tie consumption to business impact so AI spend can be defended with evidence.
Cost-based model routing
Send each request to the cheapest model that still meets your quality bar.
Multi-provider connectors
OpenAI, Anthropic, Azure OpenAI, Google and more behind a single dashboard.
Org hierarchy of any depth
Model your real structure — divisions, teams, products — not a flat list of keys.
Alerts & reporting
Threshold alerts before limits are hit, and exports finance can work with.
Who it's for
One shared view for the teams
One shared view for the teams
who must agree before AI scales.
Finance
See the true cost of AI
Spend attributed per team and product, with variance against budget you can take into a review.
Book a demo →Cost allocation & ROI
IT & Platform
Run AI as managed infrastructure
One dashboard across every provider, with budgets and policy applied at request time.
See telemetry →Monitoring & controls
Security & Compliance
Approve once, not per project
Role-based access, audit trails and regional guardrails, so sign-off happens once and holds.
See controls →RBAC & audit
Engineering
Ship without cost surprises
Per-model visibility and cost-based routing that trims spend without trading away quality.
See routing →Per-model insight
Live telemetry
Every request priced,
Every request priced,
every limit enforced.
Requests stream in from every provider. Spend accrues against the budget you set. When a team crosses its limit, Qwam enforces the policy in real time — it doesn't just report it afterwards.
Request stream
LiveTokens today
0
+0.0% vs yesterday
Spend today
$0.00
tracking to budget
Spend, last 24h
USDBudget · Data Science$0 / $2,400
Within policy · requests flowing
Illustrative preview — sample data
Cost-based routing
Send each request to the model
Send each request to the model
that can afford it.
Qwam Gateway scores every inbound request against live provider pricing and your policy, then routes it to the cheapest model that still meets the quality bar.
Router decision
Simulating
DECISIONwaiting…
saved this session: $0.0000
Outcomes
What changes once
What changes once
Qwam is in place.
OutcomeToday, without QwamWith Qwam AI
01Reduce AI costs
Provider bills reconciled at month-end
Every request priced as it happens
02Maximize AI ROI
Usage can't be tied to outcomes
Spend attributed to teams and products
03Strengthen governance
Access granted by convention
RBAC and policy enforced at request time
04Ensure compliance
Audit evidence assembled by hand
A continuous, exportable audit trail
05Enable secure AI adoption
Teams reach for unsanctioned tools
Approved models, monitored and in budget
Competitive benchmarking
The market covers pieces.
The market covers pieces.
Qwam covers the control layer.
| Category | What it is | Covers | Misses |
|---|---|---|---|
| Engineering observability | Developer tracing & logging tools | Request-level tracing & cost logs | No business control layer |
| Enterprise FinOps | Cloud cost management suites | Cross-cloud spend allocation | Enterprise-priced, heavy setup |
| APM add-ons | Cost modules bolted onto monitoring | Cost tied to performance | Cost is a secondary aspect |
| Native provider dashboards | Each vendor's own billing console | Usage for that one provider | No cross-provider or policy view |
Most organizations still default to native provider dashboards or spreadsheets — leaving a wide-open gap for Qwam AI.
Feature comparison
Where Qwam AI is different.
| Capability | Qwam AI | AI gateways | Spend tools | Security tools |
|---|---|---|---|---|
| Multi-provider visibility | ||||
| Vendor-independent | ||||
| AI governance (RBAC) | ||||
| Real-time budget enforcement | ||||
| Arbitrary-depth org hierarchy | ||||
| Smart Routing |
Why Qwam
Six reasons teams
Six reasons teams
standardize on Qwam AI.
01
Unified governance platform
Monitoring, governance, budgets, compliance and ROI in one place — not four disconnected tools.
02
Control, not just visibility
Dashboards report the past. Qwam enforces policy and budget in real time, as requests happen.
03
Built for finance, IT and security
One shared source of truth for the three teams that must agree before AI scales.
04
Vendor-agnostic cost intelligence
Neutral across every major provider, so cost comparisons stay honest.
05
Right-sized for the underserved middle
Enterprise-grade control without enterprise-grade pricing or a heavy implementation program.
06
Regional first-mover, enterprise-ready
Purpose-built for regional compliance requirements, with the depth global enterprises expect.
Get started
Monitor every token.
Monitor every token.
Maximize every AI investment.
Leave your details and we'll walk you through your own AI footprint — adoption, spend, risk and return — in a single dashboard.
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FAQ
Questions, answered.
What is Qwam AI?
An enterprise AI Governance and Intelligence platform. It lets organizations monitor,
govern, optimize and secure AI usage across leading AI models, giving real-time visibility into
adoption, token consumption, spend, compliance and business impact through one unified dashboard.
Which AI providers does it work with?
Qwam connects to the enterprise AI providers your teams already use — including OpenAI,
Anthropic, Azure OpenAI and Google — and presents them behind a single dashboard, so cost and usage
comparisons stay consistent across vendors.
How is this different from an AI gateway or a cloud spend tool?
Gateways give engineers request-level tracing but no business control layer. FinOps suites
allocate cross-cloud spend but are enterprise-priced with heavy setup. Qwam is the control layer: budgets
and policy enforced at request time, governance and attribution built for finance, IT and security together.
Does Qwam enforce budgets, or only report on them?
It enforces them. Limits are applied as requests happen — a team that crosses its ceiling is
throttled by policy rather than discovered at month-end. Reporting and audit evidence come out of the same
system that did the enforcing.
Who uses Qwam inside an organization?
Finance, IT and security teams work from the same view, alongside the engineering leads who own
the workloads. That shared source of truth is usually what unblocks AI from scaling beyond pilots.
How do we get started?
Book a demo using the form above and we'll walk through your own AI footprint — adoption, spend,
risk and return — and what connecting your providers would involve.