Now live in Canada · Design partners welcomed

AI Accountability Intelligence

Know where your AI money goes, who owns it, and what it returns.

AI spend now lands everywhere: AWS (Bedrock and Claude Platform), OpenAI, Anthropic, Microsoft Azure, Google Cloud, and a growing stack of AI subscriptions and licenses. PulseAI brings it all into one view, attributes every dollar to owners and use cases, and ties it to KPIs, so leadership knows where the money goes, why it's spent, who owns it, and whether it delivers.

Request a Demo See the Compass

The Accountability Gap

AI adoption is moving faster than AI accountability.

Every department is experimenting with AI: copilots, models, agents, embedded features, cloud AI services, and outside consultants. The bills land across five AI providers, SaaS subscriptions, and pilots. Yet most organizations still cannot answer four basic questions: where is our AI money going, why is it going there, who is responsible for it, and is it worth it?

Spend Visibility

See AI spend across every provider, subscription, tool, model, team, and use case.

Clear Ownership

Assign accountable owners, reviewers, and decision makers.

Proven Value

Connect AI initiatives to KPIs, outcomes, and executive reporting.

AI Spend Intelligence

One number for AI spend, across every provider.

PulseAI ingests AI spend from five providers: AWS (both Amazon Bedrock and Claude Platform charges on your AWS bill), OpenAI Platform, Anthropic API, Microsoft Azure (including Azure OpenAI), and Google Cloud (Vertex AI and Gemini). It also tracks flat-fee SaaS subscriptions and per-seat licenses alongside metered token spend. The result is one total AI spend number, broken down by provider, model, department, and outcome.

AWS Bedrock & Claude Platform
OpenAI Platform
Anthropic API
Microsoft Azure
Google Cloud
+ SaaS subscriptions & licenses

Every dollar attributed

Spend is attributed to tools, use cases, and departments. Anything unmatched is surfaced as "Unattributed" with a guided flow to resolve it. No silent gaps.

Worth it, not just how much

Each use case shows its KPI status (on track, at risk, or behind) right next to its cost. The question changes from "what did we spend?" to "was it worth it?"

Read-only by design

Connections are read-only and customer-controlled: a cross-account role for AWS, scoped API credentials for the rest. No agents on employee machines. Governance without surveillance.

AI Accountability Compass™

The score is one signal. Accountability is the whole picture.

Sample assessment · Acme Corporation · Q1 2026

Your organization

Industry benchmark

0 · Unaware

1 · Exploring

2 · Piloting

3 · Scaling

4 · Optimizing

5 · Leading

Who It's For

Built for the people who need answers

Boards & Executives

Audit-ready reporting on AI spend, risk, and outcomes, with impact assessments mapped to ISO/IEC 42001, NIST AI RMF, and EU AI Act obligations.

CFO & Finance

One total AI spend number across five providers and every subscription, attributed to departments and use cases, each with a clear answer to "was it worth it?"

CIO & Security

Governance that runs as workflow: ownership, attestations, impact assessments, and audit trails, all through read-only connections with no agents on employee machines.

Platform

One platform for AI Accountability Intelligence.

PulseAI connects AI spend, use cases, owners, risks, KPIs, assessments, and executive reporting so organizations can govern AI consumption and prove business value.

AI Spend Intelligence

See where AI money is going

Ingest AI spend from AWS (Bedrock and Claude Platform), OpenAI, Anthropic, Microsoft Azure, and Google Cloud through read-only, customer-controlled connections, with flat-fee subscriptions and licenses tracked alongside metered token spend.

Use-Case Attribution

Explain why it is being spent

Attribute every dollar to business use cases, expected outcomes, and measurable value. Unmatched spend is surfaced as "Unattributed" with a guided path to resolve it. No silent gaps.

Governance & Attestation

Assign clear ownership

Assign accountable owners, run attestation cycles with certify and delegate workflows, and gate high-risk use cases on completed impact assessments.

AI Impact Assessment

Govern AI risk

Run a structured 13-step risk assessment mapped to ISO/IEC 42001, NIST AI RMF, and EU AI Act obligations, with AI-drafted narratives, audit trails, and PDF export.

AI Outcome Measurement

Measure business impact

Set targets from a curated KPI library, track check-ins, close measurement periods, and show whether each AI initiative is on track, at risk, or behind, right next to what it costs.

Executive Insights

Give executives the full picture

Generate plain-language executive insights grounded in real scores, registered AI systems, spend data, KPIs, and governance activity.

AI Assistant Integration

Bring accountability into daily workflows

Query scores, tools, use cases, KPIs, spend, and governance data directly from Claude, ChatGPT, and other MCP-aware assistants.

Also included
AI Accountability Compass™, AI Tool Registry, Enterprise Access Control, Audit-Ready Reporting.

AI Assistant Access · Model Context Protocol

Bring AI accountability into daily workflows.

Compass™ scores, spend, findings, KPIs and your tool registry are now available to Claude, ChatGPT, Copilot and any other MCP-aware assistant. Ask board-ready questions in plain English, with no new dashboard and no training.

"Summarize how our Compass score moved this quarter."

Board pre-read in 60 seconds.

"List every open finding mapped to ISO 42001 Clause 6.1.4."

Audit prep without the spreadsheet.

"Where are we tracking against our AI KPIs?"

Finance and ops, in plain English.

See AI Assistant Access