Use Cases
Enterprise AI Use Cases: Measure ROI, Govern Risk, Control Costs
Agentic and Assistive AI workflows are outpacing measurement.
AI Agents and Assistive AI tools now drive work across enterprise systems, yet most leaders lack visibility into where automation happens, how it performs, or what ROI it delivers.
Intelligence as the Engine of Productivity
Olakai captures every AI interaction across Agents, Assistive AI tools, and systems – then transforms it into actionable intelligence. Leaders get the insights they need to make AI accountable, measurable, and scalable. Each use case shows how to turn AI activity into proven ROI and productivity gains.
Prove AI ROI
Boards demand ROI. Finance wants AI tied to measurable business outcomes, not pilots and spend. Olakai proves it with before-and-after measurement — converting the time AI saves into dollars and headcount-equivalent capacity your CFO can defend.
What Olakai Does
- Tracks efficiency gains, time saved, and cost savings per agentic workflow, bottom-up and verifiable
- Benchmarks performance by persona, department, and enterprise, with trend visibility
- Delivers board-grade reporting and ROI insights for CIOs and CFOs
Benefits
- Board-ready proof of agentic and AI-driven business impact
- Optimized cost structures with clear reinvestment levers.
- Strategic allocation of AI resources to the highest-yield areas.
Risk of Inaction
Budgets shrink, adoption slows, and AI investment loses executive support.
Control AI Costs
AI spend is now usage-based, and climbing. As coding tools, copilots, and agents move to token-metered pricing, the bill grows every month. Olakai gives you per-team, per-provider, and per-developer visibility — plus budgets and forecasts that catch overruns before the invoice lands.
What Olakai Does
- Tracks AI spend by team, provider, project, and developer across every tool
- Forecasts month-end spend from your run-rate, with alerts before a budget overruns
- Reconciles real provider bills, not just token estimates, for a defensible number
- Flags idle licenses and wasted spend to reclaim
Benefits
- Spend you can forecast and cap, not just watch after the fact
- Idle licenses reclaimed and wasted spend cut
- A defensible cost-per-value number finance trusts
Risk of Inaction
Token costs climb unforecasted, idle licenses pile up, and finance finds out from the invoice.
Measurement & OLA Index™
The foundation of enterprise AI is intelligence. Leaders need to see where agentic workflows are operating, where automation delivers measurable gains, and how to prove ROI in hours and dollars. Without visibility, strategy is guesswork and AI remains unproven.
What Olakai Does
- Benchmarks agentic, human, and SaaS-AI adoption daily with the OLA Index™
- Quantifies time saved and net value created across automated workflows
- Maps and measures AI maturity by AI Agent, team, region, and application
- Produces board-ready dashboards on efficiency, automation, and ROI
Benefits
- Real-time evidence of AI and Agent performance across the enterprise
- Proof of ROI that boards, finance, and AI task forces can trust
- Data-driven strategy to scale adoption and direct investment
Risk of inaction
Agents operate in the dark, AI remains a cost center, and executive confidence erodes.
Agent Governance & Shadow AI
Adoption without governance is risk. Agentic workflows now span GenAI tools and SaaS systems – yet unapproved Agents, unmanaged prompts, and hidden integrations create Shadow AI. Enterprises need visibility and control to turn this complexity into safe, governed automation.
What Olakai Does
- Acts as a semantic firewall across Agents, LLMs, and SaaS environments
- Uses SDK and API integrations to detect, log, and classify all AI and Agent activity
- Enforces compliant adoption through adaptive, role-based policies
- Applies AI Semantic Filters™ to monitor and remediate risky workflows in real time
Benefits
- Unified visibility across all agentic and AI usage
- Continuous enforcement of enterprise policies without disrupting productivity
- Audit-ready transparency for compliance, risk, and board reporting
Risk of Inaction
Shadow AI expands, Agent behavior goes unchecked, and governance collapses.
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