Datagras

Observability and governance for enterprise AI agents

Every step traced, every cost visible, every decision on the record.

Set rules your teams can try in Shadow before you enforce them.

AI adoption

Teams adopt AI in weeks.

17uses of AI across 9 teams
NewChat toolforSupportjust now
Internal appforOperations2 days ago
Chat toolforLegal4 days ago
AgentforSales6 days ago
MCP toolforEngineering8 days ago
Customer appforProduct10 days ago
CopilotforEngineering12 days ago

Oversight

The answers are spread across many tools, each holding one piece.

Where the newest use, Support, ends up:

Provider consoleby API keykey for Support, $6.20 today
Tracing toolby tracerun from Support, 3 steps
Security toolby alertSupport: email found in a prompt
Financeby providerSupport spend, on next month's invoice

One question, four places to look.

Tracing toolWhich run was it?Chat tool for Support, 3 steps
Provider consoleWhat did it cost?$6.20 today
Security toolWas sensitive data involved?Email found in a prompt
FinanceWhat will we pay?Support line on next month's invoice

The questions every enterprise asks about its AI

People using AI this week
ChatCopilotAppsAgentsTotal
Support8641129148
Engineering52743114171
Sales63187391
Finance34114655
Legal1220014
Top 5 of 9 departments. 412 people in all.+6% on last week

01 Visibility

Who is using AI, and where?

See AI use across chat tools, copilots, your own apps and agents, by person and by department.

A prompt sent to a chat tool
Summarise this complaint and reply to the customer at j.doe@example.com or call +1 555 0142.
Personal data: email
Personal data: phone
Came fromSupport team, chat toolWhenToday, 10:42

02 Assurance

Is sensitive data going into AI?

Personal data and prompt injection are detected and shown with where they came from.

Block personal data in prompts
ShadowEnforce

Tried on last month's calls. Nothing was stopped.

Support, chat toolcustomer emails21 calls would be blocked
Finance, copilotphone numbers14 calls would be blocked
Sales, customer appcustomer names10 calls would be blocked
45 of 159,300 calls in allIn Shadow

03 Control

What would a new rule do before we turn it on?

Try a policy in Shadow against real traffic, see what it would have caught, then enforce it.

AI payback by department, this month
AI spendValue backPayback
Support
$9.8k
$15.7k
1.6×
Engineering
$14.2k
$18.5k
1.3×
Sales
$3.1k
$3.4k
1.1×
Marketing
$5.4k
$3.8k
0.7×
Not measurable yet: Finance and Legal, $4.6k of spend. No benchmark set.

04 Value

Is AI paying back, team by team?

Spend and payback by department, with the share that cannot be measured yet stated plainly.

Audit trail
Record intact
10:43Credit adjustment of $8,450 rejectedFinance leadSigned
10:31Personal data rule moved to EnforceSecurity leadSigned
09:58Stored prompt opened, reason: complaint reviewCompliance leadSigned
09:20Support budget raised to $12k a monthFinance leadSigned
Checked nightly for tamperingExport

05 Evidence

Can we prove what happened?

A signed audit trail of every change and decision, checked for tampering and ready to export.

SAVI answers each one from the same trace, for every team.

Connect in minutes

Start with whichever fits. Each one adds to the same record.

01

Add the SDK to your code

One changed word wraps the client you already use. Try it with no account first: local mode prints each call's tokens and timing to your terminal.

terminalapp.py

$ pip install savi-sdk

from savi import SaviOpenAI

client = OpenAI(api_key=..., savi_key=...)

→ traced: 42 tokens in, 118 out, 810 ms

See the setup guide
02

Connect provider billing

Read-only access to usage and spend from your provider accounts. No code changes.

OpenAIAnthropicAzure OpenAIAmazon Bedrock
03

Connect workplace tools

See which teams use AI at work through the admin access of tools you already run.

Chat toolsCopilotsCode assistantsIdentity provider

Works with every model you already use

Your data stays yours

Full oversight of how AI is used, without holding on to what your people write.

  • Your prompts stay privateSAVI sees how AI is used, not what your people write.
  • You decide what is keptNothing beyond usage is stored unless you choose to switch it on.
  • Every access is accountableAny look at stored content comes with a reason on the record.
  • A record you can stand behindEvery change is on the record and protected from tampering.
  • Your data is yours aloneIt is never mixed with any other customer's.
  • Open by designSee exactly what SAVI collects from your apps, line by line.
Your app

“Summarise the complaint from j.doe@example.com and draft a reply.”

Your AI providergets the request as usual
the full request
SAVIgets the signals that matter
usagecosttimingrisk signalswhat people wrote

Say yes to more AI. Have the answers ready.

Bring the questions your leadership, security, finance and audit teams ask. We will show you SAVI answering them on your own AI use.

Asked by Leadership