Datagras

The future of AI iscost visibility

SAVI is the accountability layer for enterprise AI - bringing visibility, governance, and trust to every model, agent, and AI-powered decision your organization makes.

The Platform

AI Spend Intelligence, built for enterprise FinOps.

SAVI helps leaders understand where AI resources are being used, what they're costing, and how they contribute to business outcomes.

  • See where AI resources are being consumed, how they're performing, and where value is being created.
  • Continuous monitoring of agent activity with rapid alerts when execution patterns deviate from expectations
  • Enterprise-grade AI governance with role-based controls, data protection safeguards, and complete auditability
Explore SAVI →
Cost Dashboard
8+ providers, real-time
Loop Detection
< 30 sec alert
Budget Caps
5-signal detection
Governance
Audit-ready · RBAC · PII
ROI Attribution
Board-ready scorecards
Budget Pools
Per-agent ceilings
ESG Carbon
CO₂e per API call
Product tour

See it in action

Real views from the SAVI console - pick a capability to preview.

SAVI · Loop DetectionMonitoring

Live Alert Feed

Detection latency < 30 sec

Runaway agent loop detected

Critical

Lambda summarisation pipeline · 340 calls/min, pattern repeats every 4s

just now

Pause signal sent, agent halted

Resolved

Lambda summarisation pipeline · confirmed stopped

12s ago

Elevated retry rate

Watching

Support-ticket triage agent · 3x baseline, watching

6m ago

Token budget cap enforced

Resolved

Marketing content agent · switched to smaller model

22m ago
How it works

How SAVI Works

From AI chaos to full accountability, in four steps.

01Connect your AI stack

Plug in every model, agent, and AI provider your organization uses - OpenAI, Anthropic, Azure, AWS, and more. No rip-and-replace. SAVI sits alongside what you already have.

Connected providers

OpenAI
Anthropic
Azure AI
AWS Bedrock
Gemini
Cohere
Mistral
Ollama
Vertex AI
8+ providers · no rip-and-replace

02Map every dollar to every decision

SAVI automatically tags every AI request to a team, a cost center, a model, and a business outcome. Finance sees spend. Engineering sees usage. Leadership sees ROI.

AI Spend by Team · this month

Engineering$12,400
Marketing$7,700
Product$4,680
Operations$2,750

03Set rules. Enforce them automatically.

Define budgets, governance policies, and usage limits across teams and models. SAVI enforces them in real time - no manual chasing, no end-of-month surprises.

Active Policies

Engineering monthly cap

$15,000 / mo

GPT-4 token limit

500K tokens / day

Sensitive data handling

Local models only

Overnight agent runs

Require approval

04Audit, report, and prove value

Every AI decision is logged, traceable, and reportable. Compliance teams get full audit trails. Executives get ROI dashboards. Everyone gets clarity.

Live Audit Log

Budget limit triggered

Marketing

2m ago

Model switched: GPT-4 → 3.5

Engineering

8m ago

PII filter applied

Product

14m ago

Compliance report exported

Legal

1h ago

Agent loop detected + pause signalled

Ops

2h ago

Works with every model you already use

Why teams choose us

Built for outcomes that matter

Transparency by design. Accountability in every decision.

Every action is explainable. Every alert is traceable. Every decision is backed by a visible rule. Built for teams that need full auditability, not assumptions.

We design where governance, transparency, and accountability intersect.

APRA, ACCC, and Australia's National AI Plan forced ANZ enterprises to solve AI governance before most of the world had to. We built for that bar first - which means everywhere else is easier.

Customer-led roadmap.

Every feature here exists because a design partner needed it in real production environments. Nothing is added for show - everything is built to solve real operational needs at scale.

Modelled impact

Built to deliver value fast

 
Potential cost prevented per runaway agent loop incident, based on early design-partner modelling
 
AI providers monitored in one unified dashboard
 
Projected savings potential, modelled from design-partner pilot data
 
Agent activity designed to be covered by immutable audit trail
Principles

What We Stand For

Radical Transparency

No hidden logic. No black boxes. Every AI cost, decision, and alert is backed by clear signals, defined baselines, and a full audit trail your compliance and finance teams can trust end to end.

Compounding Value

Every new signal improves detection. Every alert sharpens your team's response. SAVI becomes more precise the longer it runs -delivering more value over time without adding work to your team.

Adaptable by Design

AI changes fast. SAVI changes with it. Built around real production feedback from the teams using it daily, SAVI reflects new models, new governance requirements, and new realities -automatically.

Built to Focus

SAVI does one job -governing enterprise AI spend -and does it better than anything else. Not because we ignore everything else, but because we believe focus is the foundation of every responsible, sustainable AI investment.

Enterprise AI should be as accountable as it is powerful.

That belief is what Datagras was built on -and what SAVI was built to deliver. SAVI helps organizations govern AI with full transparency, operational discipline, and confidence -no matter how they scale or how regulations evolve.

See what your AI is actually costing you.

Most organizations discover their AI governance gaps after deployment. We help you find them before they become business risks.