Industries
Olakai for Technology & Software
Run AI like the product line it’s becoming.
One view of every coding tool, every copilot, and every agent your engineering, sales, and CS teams ship — measured against the metrics tech leaders actually care about: cycle time, ARR retention, pipeline velocity.
One platform, every AI tool, every team.
Technology companies were among the first to go all-in on AI. Your engineering teams run Claude Code, Cursor, and Copilot. Sales uses AI lead scoring. Customer success uses AI chatbots and churn prediction models. Marketing uses AI for campaign optimization. And half your employees use ChatGPT for things nobody tracks.
The tools work. The question isn’t whether AI delivers value — it’s whether you can see all of it in one place, measure what each tool is actually returning, and govern the ones nobody approved. That’s what Olakai does.
By the Numbers
90%+ of tech companies use AI regularly, but only 6% have reached true AI maturity.
The gap between adoption and maturity is a measurement problem — you can’t scale what you can’t prove.
Three lenses, one platform
Olakai is one platform with one data model and one set of controls. Assistive IQ, Coding IQ, and Agent IQ are the three lenses you use to look at it — they share data, share context, and share Kai. What you learn in one lens is immediately visible in the others.
Assistive IQ
Track Copilot, Gemini, ChatGPT Enterprise across every team. See which licenses are idle, where shadow AI is taking root, and which seats actually return value.
Coding IQ
Prove cycle time deltas across Claude Code, Cursor, Copilot, and Windsurf. Identify your power users, surface the casual ones who need coaching, and stop paying for licenses no one opens.
Agent IQ
Measure every customer-facing agent — support deflection, lead routing, churn prediction — against the revenue and retention numbers your board sees.
The KPIs that matter in technology
Every pillar gives you a different lens on AI performance. Here are the metrics that matter most for technology organizations — measured by Olakai, across every vendor, every team.
Assistive IQ
License utilization rate
% of AI tool seats that are actively used vs. idle
Time saved per user
Hours saved per employee per week from AI assistants
Shadow AI tools detected
Unauthorized AI tools discovered across the org
Coding IQ
Cycle time delta
How much faster AI-assisted PRs ship vs. non-AI PRs
AI adoption rate
% of PRs that are AI-assisted, broken down by team
Cost per PR by provider
Total tool spend per PR, compared across Claude Code, Cursor, Copilot, Windsurf
Agent IQ
Agent success rate
% of agent executions that complete without error
Cost per execution
Dollars spent per agent task across frameworks
Revenue impact
ARR saved, pipeline generated, or tickets deflected per agent
Why Measurement Changes Everything
From Churn Reaction to Revenue Protection
Instead of discovering churn after the fact, measure exactly how many accounts were saved, how much ARR was retained, and what each intervention costs versus what it protects. Turn retention from a hope into a provable revenue line.
From Pipeline Fog to Sales Precision
Track MQL-to-SQL conversion, lead response time, and pipeline velocity to prove that AI lead qualification is accelerating deals. When you can show the data, sales gets more investment instead of cuts.
From Support Bottleneck to Scalable Resolution
Measure routing accuracy, resolution time, and employee satisfaction to prove your help desk AI is solving real problems. Data-backed support improvements earn trust from engineering and executive teams alike.
From Shadow AI Risk to Controlled Adoption
Replace “block everything” with “measure and govern.” See which unsanctioned AI tools employees use, quantify the SOC 2 and GDPR risk, and bring high-value usage into the fold with proper oversight.
From Marketing Guesswork to Proven ROAS
Connect AI campaign optimization to actual acquisition costs and channel performance. When you can show exactly how much budget was saved and revenue generated, marketing becomes a profit center.
From Legal Bottleneck to Scalable Review
Measure contracts per attorney and risky clauses caught. Prove to the business that legal is scaling capacity without adding headcount, turning a cost center into a strategic advantage.
Ask your AI program a question. Get a reasoned answer.
Kai is the conversational layer across every Olakai data source. Anyone in the business can ask the questions that matter, and Kai pulls the data, runs the analysis, and shows the reasoning behind every answer.
“Which engineering team has the highest cycle time delta from AI coding tools, and what’s it costing us per PR?”
Explore Olakai on your own terms.
Drop your work email below and we’ll send you a private link to a live Olakai environment — pre-loaded with realistic technology data so you can click around at your own pace, run a few Kai queries, and see exactly what your AI program would look like inside the platform.
No account to create. No demo call to book. No commitment. If you want a guided walkthrough after, we’re one click away.