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Olakai
The Enterprise AI System of Record
About Olakai
Olakai is an enterprise AI analytics and governance platform that captures and measures every AI interaction outcome across an organization, from coding agents and assistants to autonomous agents, down to token cost. It provides two main products: Olakai Agentic, which focuses on proving ROI and governing spend for AI coding tools like Claude Code, Cursor, and Copilot; and Olakai Assistive, which offers enterprise-wide visibility into adoption and ROI for workforce AI tools like ChatGPT and Microsoft Copilot. The platform uses a four-step Insight Engine pipeline—augment, classify, calculate, and act—to transform raw AI activity into actionable business intelligence. It enables AI FinOps with budgeting, forecasting, and cost controls, and includes governance features such as Shadow AI detection, sensitive-data detection, policy enforcement, and an exportable audit trail. Olakai is vendor-neutral, connecting to sources like GitHub, Bitbucket, Anthropic, OpenAI, Cursor, Google, AWS, and Microsoft. With a focus on measurable ROI, it helps leaders answer whether AI investments are paying off. The platform is built on AWS with SOC 2 Type II compliance and offers flexible deployment, including on-premises for enterprise customers. AiDOOS enhances deployment by providing a curated ecosystem of experts and tools that help organizations fully leverage Olakai's capabilities, ensuring faster integration, customization, and adoption across the enterprise.
Challenges It Solves
- Difficulty measuring the ROI of AI investments across multiple tools and vendors.
- Lack of visibility into shadow AI usage, leading to security and compliance risks.
- Uncontrolled AI costs from usage-based pricing of coding tools and agents.
- Inability to prove the business value of AI to executives and board members.
Screenshots
Use Cases
Proving AI Coding Tool ROI
Measure the return on investment from AI coding assistants and agents like Claude Code and Copilot.
Controlling AI Spend
Set budgets, forecast costs, and prevent budget overruns across AI tools and agents.
Detecting Shadow AI
Identify unsanctioned AI usage across the organization to mitigate security and compliance risks.
Board-Level AI Reporting
Provide executives with clear, data-backed evidence of AI's business value and impact.
Pricing
Custom pricing — built for your team
Olakai pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.
Key Features
Measures dollar returns from every AI interaction down to token cost.
Set budgets, forecast month-end costs, and catch runaway agents.
Detect shadow AI, enforce policies, and export audit trails.
Connect to GitHub, Anthropic, OpenAI, Cursor, Google, and Microsoft out of the box.
Ask natural language questions to get answers about AI usage and ROI.
What Reviewers Say
What works well
- Vendor-neutral provides a unified view of AI usage across diverse tools.
- SOC 2 Type II certification demonstrates strong security practices.
- Easy integrations with major AI and developer tools.
- Measurable ROI helps justify AI spending to executives.
Common concerns
- Limited to enterprise use cases, may be overkill for small teams.
- Pricing per user can become expensive for large organizations.
Reviews
No reviews yet for Olakai
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Enterprise Readiness
Identity & Access
Data Security
SLA & Availability
Compliance & Portability
Integrations
GitHub
Pull-request analytics straight from GitHub, enabling AI-assisted vs. human PR comparison, cycle time, and code ratio.
Bitbucket
Pull-request analytics from Bitbucket, similar to GitHub integration, for AI-assisted coding insights.
Anthropic Claude
Per-developer token usage and spend for Claude Code, reconciled via admin API.
OpenAI
Usage and cost data for Codex and ChatGPT Enterprise, broken down by user and model.
Cursor
Seat usage, model mix, acceptance metrics, and spend from Cursor admin API.
Google Gemini
Usage and spend from Google's Cloud Monitoring and BigQuery exports for Gemini and Vertex.
Microsoft 365 Copilot
Native analytics for Microsoft 365 Copilot, showing adoption, seat-level ROI, spend, and governance in near real-time.
GitHub Copilot
Adoption, seat ROI, and spend analytics for GitHub Copilot through the admin API.
Governance & Compliance
EU AI Act
No data available
Data Processing Agreement
No data available
Sub-processors
No data available
Right to Erasure
No data available
Change Notifications
No data available
NIST AI RMF
No data available
AiDOOS Managed Deployment
Deploy Olakai in 72 hours
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
- Active AI tool subscriptions (e.g., GitHub Copilot, Claude Code)
- Admin API access to AI providers
- Integration with identity provider for SSO
Configuration Options
- Configure data ingestion from multiple AI sources
- Set up custom KPIs and OLA Index
- Define governance policies and alerts
How Olakai Compares
| Product | AI & Analytics | Ease of Use | Enterprise Features | Pricing | Integrations | Mobile Experience | Quick Setup | Customer Support | Rating | Price/mo |
|---|---|---|---|---|---|---|---|---|---|---|
|
O
Olakai This product
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Excellent | Good | Excellent | Fair | Good | Poor | Good | Good | — | $5/user |
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ZE
Zenity
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Good | Good | Excellent | Fair | Good | Poor | Good | Good | — | $Custom/user |
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VA
Vanta
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Fair | Good | Excellent | Fair | Good | Poor | Good | Good | — | $Custom/user |
A Virtual Delivery Center for Olakai
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers Olakai
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists