AI software is everywhere but invisible.
The Reality
Your company runs on 50-130 different tools. Slack for communication. Notion for docs. Figma for design. Salesforce for CRM. HubSpot for marketing. GitHub for code. And now? ChatGPT for writing. Claude for analysis. Cursor for coding. Midjourney for images. Perplexity for research.
Software isn't just in your stack anymore. AI is in your workflow.
Your engineers are shipping code 3x faster with AI assistants. Your marketers are producing content at scale with generative tools. Your sales team is using AI SDRs to book meetings. Your designers are prototyping in minutes instead of days.
But here's what nobody's measuring:
- Which tools actually drive outcomes?
- What's the real ROI on that $2M software budget?
- How much faster are teams moving with AI?
- Which AI tools deliver quality versus hallucinations?
- Where's the overlap draining budget?
- What's blocking your best people from doing their best work?
You're operating blind.
The Problem
No Visibility
Your tech stack is invisible. Usage data is scattered across vendor dashboards. Shadow IT is everywhere - teams buying tools with personal credit cards because procurement takes six weeks. Three departments bought the same platform under different budget codes.
apps per company
new apps per month
per employee on SaaS
of licenses regularly used
Your AI adoption? Complete chaos. Engineering has Cursor and Copilot. Marketing has ChatGPT and Jasper. Sales has Gong AI and some custom tool someone built. Design has Midjourney and Runway. Nobody knows what's being used, by whom, or whether it's working.
Which tools are your product team actually using daily versus the ones sitting in the budget spreadsheet? How many AI subscriptions are you paying for that haven't been logged into in 60 days? What's your real AI spend this quarter?
Procurement doesn't know. IT can't track it. Finance is reconciling invoices, not outcomes.
No Impact Measurement
The old metrics don't work anymore. Seat counts don't tell you if a tool drives value. Login frequency doesn't measure quality. Cost per user doesn't show ROI.
You need to know: Is this tool making my team faster? Is this AI improving output quality? Are we getting returns that justify the spend? Which investments compound versus which ones drain resources?
Most companies are paying for 30-40% more software than they need. Not because they're incompetent - because measuring impact the old way takes months and the data is stale before the audit finishes.
No Guidance
Every decision is a guess.
- When should you consolidate tools?
- Which AI assistant should your team standardize on?
- What happens when your vendor raises prices 40% at renewal?
- Which tools can you cut without breaking workflows?
- How do you onboard new hires when the stack changes monthly?
Procurement negotiates contracts with zero usage data. IT provisions based on what feels right. Finance sees costs, not outcomes. Teams make local decisions that create global waste.
Nobody has the intelligence to operate confidently.
Why Now: The AI-Native Era Changes Everything
Work is hybrid now. It's not humans OR AI. It's humans AND AI collaborating. Your stack isn't just software anymore - it's software plus AI tools, and the complexity is exponential.
Adoption is accelerating. The average company added 23 new tools in 2024. AI tool adoption is outpacing every previous technology wave. Your stack isn't stabilizing - it's expanding.
Categories are merging. Legacy vendors kept SaaS management, procurement, IT ops, and finance separate because they couldn't build complete solutions. AI-native platforms collapse these boundaries into one intelligence layer.
Speed matters more than perfection. Teams that can see what's working, cut what's not, and reallocate fast will win. Teams waiting for quarterly reviews to make decisions will fall behind.
The question isn't "should we manage our stack better?"
It's "can we operate without real-time intelligence in an AI-native world?"
The answer is no.
Our Vision
We're building the AI CTO for the software era.
Not a tool that makes procurement more efficient. A system that makes procurement obsolete.
Here's what that means:
When a new engineer joins your company, TechBible provisions their tools before their manager finishes the onboarding paperwork. It knows what tools engineers at your stage, in your industry, with your tech stack, actually use. It doesn't wait for a ticket. It just does it.
When usage drops on a tool, TechBible doesn't send you an alert. It renegotiates the contract automatically, downgrades to a cheaper tier, or cancels and migrates data to a better alternative. You approve the high-level strategy once. After that, it executes.
When someone asks in Slack "do we have a tool for this?", TechBible answers in-thread with: "Yes, you have access to X, here's the link. Usage is low across the company, flagged for consolidation review next quarter" or "No, but based on similar companies at your stage, here are three options with ROI projections."
When a vendor raises prices 40% at renewal, TechBible has already identified three alternatives, estimated migration costs, and presented a recommendation before the email even hits your inbox.
You still make the strategic calls—what capabilities you need, what risks you're willing to take, what values drive your decisions.
But the execution? The pattern recognition? The 10,000 micro-decisions that procurement, IT, HR, and finance teams make every week?
Our Roadmap
Map your entire tech stack. Identify overlap, waste, and revenue blockers. Generate recommendations you can implement this week.
Share our vision
