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One governed record
Connect inventory, ownership, impact-assessment answers, dependencies, approvals, attestations, and your own approved AI policy instead of recreating them for each review.
Now live in Canada and the US · Onboarding a limited founding cohort
AI Accountability Intelligence
PulseAI connects AI spend across cloud providers and subscriptions to use cases, owners, outcomes, operational risk, and compliance evidence, giving leadership one accountability layer for value and governance.
Financial institutions
Canadian financial institution preparing for OSFI E-23 or the AMF guideline?
Ninety days to evidence, one published fee: CAD 29,000 or CAD 59,000.
Press release
All press releases →Model inventory, assessed risk ratings and write-once evidence for AI models, including vendor AI, less than seven months before E-23 takes effect.
Read the press releaseThe Accountability Gap
Every department is experimenting with AI: copilots, models, agents, embedded features, cloud AI services, and outside consultants. The bills land across several 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
PulseAI ingests AI spend from six providers: AWS (both Amazon Bedrock and Claude Platform charges on your AWS bill), OpenAI Platform, Anthropic API, Microsoft Azure (including Azure OpenAI), Google Cloud (Vertex AI and Gemini), and GitHub (Copilot and GitHub Models). 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, with the share that has not been mapped to a use case stated rather than rounded away.
Every dollar accounted for
Metered token spend is attributed to tools, use cases, and departments automatically once each usage stream is mapped to a tool. Flat-fee subscriptions and per-seat licenses count toward the same total, and reach the same use cases when you assign each one to a tool. Whatever is still unattributed is surfaced by name and amount, with a guided path to resolve it.
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 Governance
PulseAI reuses a structured AI inventory and assessment record across supported framework packs, surfaces operational-risk gaps, and keeps evidence connected to the requirements it supports.
Connect inventory, ownership, impact-assessment answers, dependencies, approvals, attestations, and your own approved AI policy instead of recreating them for each review.
Apply the requirements for each supported framework to the same structured record, with separate completeness and gap views.
Surface concentration, fallback, recovery, and third-party exposure, then keep captured evidence connected to the requirements it supports.
Who It's For
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.
One total AI spend number across six providers, subscriptions and per-seat licenses included, attributed to departments and use cases, with anything still unmapped named rather than hidden, and a clear answer to "was it worth it?"
Governance that runs as workflow: ownership, attestations, impact assessments, and audit trails, all through read-only connections with no agents on employee machines.
Platform
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
Ingest AI spend from AWS (Bedrock and Claude Platform), OpenAI, Anthropic, Microsoft Azure, Google Cloud, and GitHub (Copilot and GitHub Models) through read-only, customer-controlled connections, with flat-fee subscriptions and licenses tracked alongside metered token spend.
Use-Case Attribution
Attribute metered usage and per-seat licenses alike to business use cases, expected outcomes, and measurable value. Whatever is not yet mapped is surfaced as "Unattributed", by name and amount, with a guided path to resolve it.
Governance & Attestation
Assign accountable owners, run attestation cycles with certify and delegate workflows, and gate high-risk use cases on completed impact assessments.
AI Impact Assessment
Reuse one structured assessment across ISO/IEC 42001, NIST AI RMF, EU AI Act FRIA, Canada AIA, and OSFI E-23, with framework-specific gaps, operational-resilience analysis, audit trails, and PDF export.
AI Outcome Measurement
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
Generate plain-language executive insights grounded in real scores, assessment results, registered AI systems, adopted use cases, and your organization's approved context and active AI policy.
AI Assistant Integration
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 Accountability Compass™
Sample assessment · Acme Corporation · Q1 2026
AI Assistant Access · Model Context Protocol
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.
Latest product update
All updates →Attestation cycles now run quarterly, semi-annually or annually, every reassignment stays on the record, and certifying over a known gap takes an exception with an owner, a compensating control and an end date. The AI Tool Registry records who approved each tool and what data it may handle, and your AI assistant can answer both.
Read the updateGet Started
PulseAI is live in Canada and the United States, and onboarding a limited founding cohort. European Union hosting on request. Talk to us about access.
Book a 20-minute callPrefer email? partnerships@pulseai.now