Caspeco runs engineering
from one pane of glass
"We brought Solidafy in to solve one narrow problem, getting trustworthy DORA metrics, and it quietly became the single place I run engineering from. Delivery, cloud cost, security findings and AI usage all sit in one pane of glass, mapped to the teams that own them, and I didn't have to build a data platform to get there. For a SaaS business that takes due diligence and future M&A seriously, it's close to indispensable."
In his own words
When we started with Solidafy, the ask was narrow: clean DORA and delivery metrics I'd be comfortable putting in front of the board. What it became is the one screen I use to run engineering — and the value isn't any single number, it's seeing delivery, cost, security and AI usage correlated in one place.
Like everyone, we've layered AI across the development process — Claude, GitHub Copilot, ChatGPT and others — and the honest answer to "is it working?" used to be a shrug. Now Solidafy pulls signal from across the toolchain — Jira, GitHub, and the AI tools themselves — into one place, so I can see where AI spend is genuinely creating leverage and which parts of our process it isn't moving. That turns the board conversation from "we're investing in AI" into "here's exactly where it's paying off, here's where we're changing how we work, and here's where we're doubling down." For a Monterro company, where AI adoption isn't optional, that's the difference between telling a story and showing the evidence.
It does the same consolidation for security. We were pulling findings from several sources — GitHub, Azure Defender, our own cloud scanning, and now AI-assisted code review — and the noise was brutal, with the same issue counted over and over across different scanners. Solidafy collapses all of it into one pane and strips out the duplication, so I can track criticals and highs by team, watch the backlog come down month over month, and trust I'm looking at real findings rather than inflated counts.
On cost/FinOps, their analysis surfaced materially more savings than our cloud provider's own tooling did, and it sits right alongside delivery, security and AI usage — so cloud spend is a first-class engineering metric instead of a finance afterthought. Between those pillars, my board pack now answers the questions that actually matter: are we shipping, is AI paying off, is our security posture where it needs to be, and what is this costing us.
That's also where it pays off beyond the day-to-day. The same data that runs my board pack is exactly what gets asked for in a diligence process — delivery performance, security posture, cloud economics, and a defensible read on AI adoption — and it's already there, current, and mapped to teams. Instead of scrambling to assemble a story when an M&A conversation starts, I can open the room with evidence. For any Monterro company with an eye on future M&A, that readiness is worth as much as the operational visibility.
The objection I'd have raised myself is "we'll just get a clone of someone else's dashboard, and our workflow is different." That isn't how it works; Solidafy sat down with our teams and built around how we actually operate, and every company gets its own setup. The visibility is the point, not the threat: you get the data you'd otherwise have to build a platform to produce, shaped to how your org actually runs.
— Rob Anderson, CTO, Caspeco